ВЫШКА ТЕЛЕНАБЛЮДЕНИЯ

Изобретение относится к области средств наблюдения или мониторинга, в частности к вышкам для наблюдения посредством телевизионных камер. Техническим результатом является обеспечение возможности создания конструкции вышки теленаблюдения, обеспечивающей повышение защиты камер теленаблюдения и ее эксплуатационного оборудования, повышение кругового обзора окружающего участка местности с обеспечением устойчивости конструкции вышки. Указанный технический результат достигается за счет того, что вышка теленаблюдения содержит нижний и верхний металлические профили, в каждом из которых вмонтированы крепежные пластины, выполненные с возможностью обеспечения крепления металлических профилей между собой, при этом нижний металлический профиль выполнен с возможностью бетонирования в грунт, а в верхней части верхнего металлического профиля во внутренней полости с каждой стороны профиля смонтированы ниши, выполненные с возможностью обеспечения крепления в них камер теленаблюдения, над каждой нишей смонтированы ...

Methods, systems and apparatus for segmenting and dimensioning objects

Disclosed is a method of generating a transformation matrix that transforms the data from a first coordination system of a first image sensor to a second coordination of a second image sensor. The method starts by generating an initial transformation matrix based on a two dimensional image data representation of an area 1002. A refined matrix is generated from the initial matrix and a three dimensional image data representation of the area, by aligning depth values of the 3D image data according to the initial matrix 1004, extracting overlapping points in the aligned depth values1008, discarding non-overlapping points in the aligned depth values 1010, and refining the initial matrix according to the overlapping points 1012. The refining may be based on offsets between the overlapping points, the refining of th initial matrix according to the overlapping points includes generating multipliers to apply to the initial matrix based on the offsets between the overlapping points.

Methods, systems and apparatus for segmenting and dimensioning objects

Behavioural monitoring system

A behavioural monitoring system for monitoring human behaviour to complete a task using a computer is described. The system comprises: a camera 708 for capturing one or more images of a user situated at a computer screen 710, the images including eyes of the user; a gaze detection processor 716 configured to process the captured images to determine a focus location on the computer screen at which the user’s eyes are focussed and a first timestamp associated with the time when the user’s eyes are focussed on the focus location; an input device location processor 722 configured to determine or receive location data of a user controllable cursor displayed within the computer screen, the location data specifying a current screen location of the cursor, and to determine a second timestamp relating to the time at which the cursor is at the current screen location; and an alert processor 726 configured to determine when the current location of the cursor and the focus location are aligned; to ...

METHOD AND SYSTEM FOR PERFORMING DISTRIBUTED COMPUTER VISION WORKLOADS IN A COMPUTER VISION ENVIRONMENT

Techniques described herein relate to a method for managing a computer vision environment. The method includes identifying a CV alert; generating a CV alert case associated with the CV alert; identifying nearby CV nodes of the plurality of CV nodes; transmitting CV alert to the nearby CV nodes; for each of the nearby CV nodes: receiving the CV alert; determining, based on CV environment configuration information of the nearby CV node and the CV alert, whether to perform a distributed CV workload; when the determination is to perform the distributed CV workload: initiating performance of the distributed CV workload by the nearby CV nodes to generate CV data; updating the CV alert case using CV data generated during the performance of the distributed CV workload to obtain an updated CV alert case; and transmitting by the nearby CV node to the VMS the updated CV alert case.

REMOTE TOWER ASSET MONITORING SYSTEM (RTAMS)

The present invention relates to remote monitoring system for detecting changes to equipment installed in a structure and/or structure site and generating an alert message describing said changes. The system includes a sensing arrangement; an electronic database; a data transmission means; a method of identifying physical and visual changes to an object, wherein the method utilizes a first set of visual data of an object, followed by receiving a second set of visual data of the object, and comparing the first and second set of visual data to identify visual and physical changes to the object. This system therefore serves to identify changes to equipment that has been added, misaligned, moved or stolen, and then notifying a user of said changes by the transmission of an alert message.

Frictionless access control system with ranging camera

An access control and user tracking system includes ranging cameras installed in thresholds of access points for generating three dimensional models of users passing through the access points in order to detect unauthorized individuals or hand gestures of the users, which can indicate unsafe conditions or that lights and/or equipment should be turned on. The ranging cameras can be point range finding measurement sensor scanning cameras, structured light cameras, or time of flight cameras and can be installed along the top or in the corners of the thresholds.

SYSTEM AND METHOD FOR TRACKING A REGION OF INTEREST

A home security device may include one or more sensors and a camera for capturing image data. The home security device may also include processors and a non-transitory computer-readable memory. The home security device may perform operations including detecting a trigger by the camera and/or the sensors and receiving image data representing a field of view. The field of view may include a suspected object of interest. The operations may include identifying a region of interest containing the suspected object of interest. The operations may include determining that the suspected object of interest is an object of interest based on output from an artificial intelligence model. The operations may also include providing a first video stream representing the field of view and second video stream representing the region of interest for presentation at the computing device substantially simultaneously.

Method, Apparatus, System and Electronic Device for Selecting Intelligent Analysis Algorithm

A method, an apparatus, a system, and an electronic device for selecting an intelligent analysis algorithm. The method includes: acquiring image data of a monitoring scene (S101); analyzing the image data to obtain scene contents contained in the image data (S102); determining an intelligent analysis algorithm corresponding to each of the scene contents (S103); and selecting a target intelligent analysis algorithm(s) from intelligent analysis algorithms corresponding to the scene contents according to a load capacity of a compute node used for loading the intelligent analysis algorithms, wherein a total algorithm load of the target intelligent analysis algorithm(s) is not greater than the load capacity of the compute node (S104). The method for selecting an intelligent analysis algorithm realizes an automatic selection of the intelligent analysis algorithm, which can reduce the manual workload, improve the selection efficiency of the intelligent analysis algorithm, reduce overload of the ...

FRICTIONLESS SHOPPING OF CUSTOM-MADE ITEMS

A system for updating virtual shopping carts of shoppers with pay-by-weight products is disclosed. The system has a processor that receive images captured by image sensors. The images depict product interactions between a store associate and shoppers. Each product interaction involves a pay by weight product. The processor analyzes the images to identify the product interactions and associates the pay by weight product involved with each product interaction with a particular shopper among the shoppers. The processor provides a notification to the store associate requesting supplemental information for associating the pay by weight product with the particular shopper. The processor receives the requested supplemental information and uses the analysis of the images and the requested supplemental information to determine the association of the pay by weight product with the particular shopper. The processor also updates a virtual shopping cart of the particular shopper with the pay by weight ...

INFORMATION PROCESSING METHOD, INFORMATION PROCESSING DEVICE, AND RECORDING MEDIUM

An information processing method according to an aspect of the present disclosure includes: acquiring, from a video, flow line information of a customer; detecting that the customer acquires an item; and storing, in a storage, flow line information of the customer and information on a number of items acquired by the customer, in association with each other.

Agricultural monitoring system using image analysis

Aspects of this disclosure include a system for providing non-contact, computer-vision based monitoring of the health and pollination activity of a beehive. The system may include camera positioned proximate to a beehive. The camera may include an onboard processor that analyzes video of the beehive captured by the camera and calculates an activity value that estimates a number of bees moving about the beehive. The video calculated activity values may be uploaded to a server where they can be accessed via a user device. The user device may allow the user to display interactive plots of the activity values over a variety of time bases. The disclosed beehive monitoring system relies on relatively lost-cost hardware and requires neither modification to the hive nor special constraints on the placement of the camera.

SYSTEM AND METHOD FOR PRE-DROWNING AND DROWNING DETECTION

System and method for detection of pre-drowning and drowning events based on underwater and exterior images in and around a swimming area.

Methods and systems for tracking the location of a petri-dish

Methods and systems for managing a petri-dish. Embodiments herein disclose a RFID tag affixed on the petri-dish, wherein the RFID tag has a thin formfactor, so as not to interfere in the use and operation of the petri-dish and a sufficiently large readability range. Embodiments herein disclose methods and systems for RFID based asset tracking of petri-dishes in a laboratory/pharmaceutical/manufacturing environment, wherein the movement of the petri-dishes are tracked automatically with minimal manual intervention.

Systems and methods for autonomous generation of maps

Systems and methods for generating maps for retail environments and other indoor locations, such as via autonomous or other automatic processes, are described. In some embodiments, the systems and methods access images of a retail environment captured via multiple security cameras placed within the retail environment, and generate a two- or three-dimensional digital, virtual and/or interactive map that depicts a layout of the retail environment based on features extracted from the accessed images. For example, the systems and methods may extract and/or determine walkable paths within the images, and generate a two- or three-dimensional map that is based on placing the walkable paths within the retail environment.

PROCESSING APPARATUS, PRE-PROCESSING APPARATUS, PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIU

The present invention provides a processing apparatus (10) including: an object region detection unit (11) that detects, from an image, an object region being a region including an object; a reliability computation unit (12) that computes, for each product, reliability in which each of the products is included in an image of the object region; an image parameter computation unit (13) that computes an image parameter related to an image of the object region; a threshold value setting unit (14) that sets a threshold value of the reliability, based on the image parameter; and a product determination unit (15) that determines, based on the reliability of each of the products and the threshold value, the product included in an image of the object region.

FLOW LINE DISPLAY APPARATUS, FLOW LINE DISPLAY METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM

A flow line display apparatus (10) includes an acquisition unit (110) and a display processing unit (120). The acquisition unit (110) acquires at least one piece of flow line information. The flow line information includes a flow line of a person, and action information indicating an action performed when the person moves along the flow line and a location where the action is performed. The flow line information is generated with respect to each person. The display processing unit (120) displays, on a display unit (130), a flow line indicated by flow line information, action content information indicating an action indicated by action information, and action location information indicating a location where the action is performed.

Vehicle off-guard monitoring system

A vehicle off-guard monitoring system includes an automobile vehicle having multiple sensor inputs capturing sensor data representing hazards including garage fires, excessive water or flooding, rain, snow, and at least one person loitering proximate to the automobile vehicle. A database has multiple saved images of the hazards. A computer compares the multiple saved images to the sensor data captured by the multiple inputs to identify if at least one match exists between any one of the multiple saved images of the hazards and the sensor data and when the at least one match exists generating a predefined warning signal. A smart-phone application in communication with the computer and a remote system signals the predefined warning signal to a user of the automobile vehicle to mitigate against damage occurring to the automobile vehicle.

Systems and methods for door error detection

Systems and methods for monitoring an operation of a door of a public transportation vehicle are disclosed. In an embodiment, the system includes an optical sensor unit and a control unit. The optical sensor is arranged at a distance from the door and configured to record a movement of the door during an opening and/or a closing. The control unit is configured to (1) determine a position of a reference point of the door based on the recorded movement of the door, (2) determine a parameter of the movement of the door during the movement based on the determined position of the reference point, (3) determine a deviation of the parameter of the movement from a predetermined/allowed range of values of the parameter, and (4) determine an error in the operation of the door based on the determined deviation.

SYSTEMS AND METHODS FOR MACHINE LEARNING ENHANCED INTELLIGENT BUILDING ACCESS ENDPOINT SECURITY MONITORING AND MANAGEMENT

Systems and methods for correlating access-system primitives generated by an access control system and semantic primitives generated by a sensor data comprehension system.

PERSONAL PROTECTIVE EQUIPMENT MANAGEMENT SYSTEM USING OPTICAL PATTERNS FOR EQUIPMENT AND SAFETY MONITORING

In general, techniques are described for a personal protective equipment (PPE) management system (PPEMS) that uses images of optical patterns embodied on articles of personal protective equipment (PPEs) to identify safety conditions that correspond to usage of the PPEs. In one example, an article of personal protective equipment (PPE) includes a first optical pattern embodied on a surface of the article of PPE; a second optical pattern embodied on the surface of the article of PPE, wherein a spatial relation between the first optical pattern and the second optical pattern is indicative of an operational status of the article of PPE.

VIBRATION DATA ANALYSIS AND IMAGE ANALYSIS FOR ROBUST ACTION RECOGNITION IN RETAIL ENVIRONMENT

A method for using vibration data analysis and image analysis for robust action recognition in a retail environment may include receiving vibration data captured using1 one or more vibration sensors mounted to a shelving unit including at least one retail shelf; receiving at least one image captured using at least one image sensor from a retail environment including the shelving unit; analyzing the vibration data and the at least one image to detect an action performed in the retail environment; and providing information based on the detected action.

Machine vision system

A machine vision system comprising receiving means configured to receive image data indicative of an object to be classified where there is provided processing means with an initial neural network, the processing means configured to determine a differential equation describing the initial neural network algorithm based on the neural network parameters, and to determine a solution to the differential equation in the form of a series expansion; and to convert the series expansion to a finite series expansion by limiting the number of terms in the series expansion to a finite number; and to determine the output classification in dependence on the finite series expansion.

SYSTEMS AND METHODS FOR IDENTIFYING DAMAGE AND THEFT IN AN AIRCRAFT CARGO BAY

A method for monitoring an aircraft cargo bay using an aircraft interface device may comprise receiving image data of a cargo bay of an aircraft. The method may further comprise detecting movement in the cargo bay, directing a camera to activate in response to that movement, and processing the captured image data. The aircraft interface device may include pre-trained neural network based algorithms configured for event classification. The method may further comprise generating an alarm based on a theft event classification and transmitting the alarm to an aircraft.

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM

To efficiency search for an object associated with a sensed event, an information processing apparatus includes a sensor that analyzes a captured video and senses whether a predetermined event has occurred, a determining unit that determines a type of an object to be used as query information based on a type of the event in response to sensing of the event occurrence, and a generator that detects the object of the determined type from the video and generates the query information based on the detected object.

VIDEO SURVEILLANCE SYSTEM AND VIDEO SURVEILLANCE METHOD

A video surveillance system includes: a detection unit that detects a predetermined event on the basis of an image captured by a first imaging apparatus; and a control unit that controls a second imaging apparatus such that the second imaging apparatus captures an image of a predetermined position after the detection of the predetermined event.

APPARATUS, SYSTEM, AND METHOD FOR PROVIDING INCREASED DETECTION ACCURACY

Apparatuses, systems, and methods are described for providing increased detection accuracy. A system for may include a management system, a network, and a sensor device. The sensor device may include a first sensor which captures baseline data and current data associated with the space, a second sensor which detects motion within the space, and a processor which causes the first sensor to capture the baseline data based at least in part upon a predetermined time period having elapsed since detected motion by the second sensor, and further configured to cause the second sensor to capture the current data and perform a comparison operation on the current data and the baseline data.

SYSTEMS, METHODS AND APPARATUS FOR INTERACTING WITH A SECURITY SYSTEM USING A TELEVISION REMOTE CONTROL

A method and apparatus is described for interacting with a security system using a television remote control. Commands sent by the remote control are received by an auxiliary interface device, which then provides the commands to a security system controller either directly, via a local-area network, or via a wide-area network and server. Status and acknowledgement messages are transmitted from the security system controller to the auxiliary device, whereupon they are provided to and displayed by a television in the form of a security dashboard.

WORKER TERMINAL, MOVING IMAGE PROCESSING METHOD AND MOVING IMAGE PROCESSING PROGRAM

The communication amount is reduced while maintaining image quality when transmitting moving images by using a worker terminal. A worker terminal is configured to be connected to a support apparatus and transmit a moving image to the support apparatus upon encoding the moving image, the support apparatus being configured to support, from a remote location, work performed by a worker including installing, repairing, inspecting, or removing a device, based on the moving image captured at a work site, the worker terminal including a camera configured to capture the moving image; an identifying unit configured to perform a recognition process on the moving image captured by the camera to identify a target area; and a processing unit configured to process the moving image such that a data amount per unit area at a time of transmitting the moving image is different for the target area and a non-target area other than the target area, in response to detecting that the target area is identified ...

METHOD FOR DETECTING HUMAN OCCUPANCY AND ACTIVITY IN A WORK AREA

A method includes: recording an image at a sensor block, the sensor block; detecting a set of objects in the image based on an object classification model; generating a feature vector for the image based on the set of objects; accessing a workstation template for the work area, the workstation template defining a set of default objects for each workstation in the work area; identifying a subset of objects comprising an intersection of the set of default objects and the set of objects; removing the subset of objects from the feature vector; accessing an occupancy template for the work area, the occupancy template defining a set of significant objects; classifying the workstation as occupied based on the feature vector and the set of significant objects; and rendering a representation of the workstation at a work area interface, the representation indicating occupancy of the workstation.

IMPROVED SOFTWARE MONITORING OF REAL-TIME-SERVICES

DEVICE PARTICULARLY FOR DETECTING AND POTENTIALLY IDENTIFYING AT LEAST ONE TARGET INSIDE A DETERMINED VOLUME AND ASSEMBLY COMPRISING SUCH A DEVICE

REGION EXTRACTION DEVICE, REGION EXTRACTION METHOD, AND REGION EXTRACTION PROGRAM

An object is to extract a region in which a target object is shown from an image more accurately. A region extraction device acquires a first frame image and a second frame image which are temporally successive. The region extraction device acquires, based on the acquired first frame image and second frame image, motion information indicating a region where a motion exists in the first frame image. The region extraction device detects, based on the acquired first frame image, positions of an elbow and a wrist of a human body from the region where the motion exists indicated by the acquired motion information. The region extraction device extracts, based on the detected positions, a region corresponding to a part, of the region where the motion exists indicated by the acquired motion information, located in a human body hand's side of the wrist.

MANAGEMENT DEVICE, MANAGEMENT METHOD, AND PROGRAM

... [Problem] To manage stocks using a virtual space. [Solving means] A control unit divides a predetermined space (a shop in the embodiment discussed herein) into units previously set in unit three-dimensional virtual cube master data to set relative position coordinates (unit three-dimensional virtual cubes), issues numbers (unit three-dimensional virtual cube sequence numbers) identifying the position coordinates, and creates a stock information management table T2 that associates the position coordinates ((shop)VM(1)SNg), the identification information (item sequence number) of an item existing at the position coordinates, and the presence or absence (delivery flag) of movement of the item with each other.

GROUP IDENTIFICATION AND MONITORING

PROCESSING AN INPUT MEDIA FEED

METHOD AND APPARATUS FOR RECOGNIZING BODY MOVEMENT

A METHOD OF SECURITY SCANNING PIECES OF LUGGAGE ON A CART

IMPROVED MASKING OF OBJECTS IN AN IMAGE STREAM

A method (200) of masking or marking an object in an image stream is provided, including: generating one or more output image streams (114) by processing (220) an input image stream (110) capturing a scene, including discarding pixel information about the scene provided by pixels (113) of the input image stream, such that the discarded pixel information about the scene is not included in any output image stream; and detecting (230) an object in the scene using the discarded pixel information, wherein generating the one or more output image streams includes masking or marking (250) the detected object in at least one output image stream once deciding that the object is at least partially visible within this at least one output image stream. A corresponding device, computer program and computer program product are also provided.

DEVICE, PROCESS AND SYSTEM FOR ASSIGNING ALERTS TO SENSOR ANALYTICS ENGINES

СИСТЕМА И СПОСОБ ОТСЛЕЖИВАНИЯ ДВИЖУЩИХСЯ ОБЪЕКТОВ ПО ВИДЕОДАННЫМ

Изобретение относится к области информационных технологий. Техническим результатом является повышение точности и скорости отслеживания движущихся объектов. Система отслеживания движущихся объектов содержит память, несколько видеокамер с трекером объектов и устройство обработки данных. Устройство обработки данных сконфигурировано для выполнения привязки видеокамер к карте местности, калибровки видеокамер, получения видеоданных от первой видеокамеры, обнаружения объекта в кадре, присвоения объекту уникального идентификационного номера (ID), анализа геометрии движения объекта с последующей оценкой его направления движения, предсказания второй видеокамеры, в области зрения которой может появиться объект. Если области зрения первой и второй видеокамер не пересекаются, выполняется обнаружение объекта в области зрения второй видеокамеры; построение на основе искусственной нейронной сети векторов признаков объекта, обнаруженных в кадре видеокамер; сравнение векторов; присвоение объекту, обнаруженному ...

Notification escalation based on visual recognition

Content protection for a glasses device

A glasses device, e.g. augmented reality (AR) glasses, has one or more displays for displaying information to the user and one or more cameras 116 to capture visual data from the front of the glasses. One or more modules determine that sensitive content is to be shown on the displays, and that the visual data from the cameras shows that a human gaze 408 is directed towards the front surface of the glasses. A protection process 214, such as alerting the user or obscuring the information, is then implemented to mitigate exposure of the sensitive content. This prevents an onlooker from viewing private information displayed on the lenses of the glasses. A risk zone 212 may be defined within the field of view of the cameras, and action is only taken to protect the displayed information when the detected gaze vector is within the risk zone.

Method and system for tracking objects in area

A method of tracking objects in an area comprises: receiving 102 a camera image; selecting 104 an object; labelling 106 the selected object with one or more tags; maintaining 108 a library of values assigned to the tags, providing 110 a user interface for the selection of at least one value from the values assigned to the tags; and filtering the object associated with the tag(s) having the value(s) in a manner suitable for tracking the object in the area. The camera image provides a view of at least part of the area and the tags are assigned values. The tags may comprise at least one of: a name, a colour, a height, a width, a length, a weight, a brand, or a barcode number of the object. The method may comprise receiving a floor plan of the area, mapping the section of the area imaged by the camera to a corresponding portion of the floor plan, allowing the operator to select a portion of the floor plan, and displaying a list of the one or more objects in the section. The method may comprise ...

Systems and methods for detecting symptoms of occupant illness

Method of detecting symptoms of illness, comprising: receiving an image 602, audio data 402 and/or radar data 1102; classifying portions of the image, audio data and/or radar data as indicating an illness symptom, such as a cough or sneeze 610, 408, 1110; determining a location of the recognized symptom utilizing the image data from the image source 612, 412, 1112; and displaying an indicator that a recognized symptom occurred at a location 1508. The audio data may come from a plurality of audio sources and the symptoms’ location 412 determined through triangulation. The RADAR data may be used to detect a person’s vital signs. Where more than one data source is used, fusion of the data may occur prior (1502, Fig. 15) or subsequent to 1602 classifying an activity from the data (1110, Fig. 15; 410, 610, 1110, Fig. 16). Recognised symptoms may be aggregated (summed) over time 1506 to provide a color-coded frequency heat map (500, Fig. 5) indicating the location of the recognised symptoms ( ...

Recognition apparatus and method

Image retrieval system

STATION MONITORING APPARATUS, STATION MONITORING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

A station monitoring apparatus (10) includes an image processing unit (110) and a decision unit (120). The image processing unit (110) determines a position of a door (50) of a vehicle (40) and a position of a person by analyzing an image generated by a capture apparatus (20), i.e., an image capturing a platform of a station. The decision unit (120) decides, after the vehicle (40) has begun to move, by use of a position of the door (50) and a position of the person, whether to perform predetermined processing. For example, the decision unit (120) performs the predetermined processing when deciding that a difference between a movement velocity of any of the persons and a movement velocity of the door is within a criterion continuously for a criterion time.

Systems and methods for monitoring remote installations

A system for monitoring a petrochemical installation is disclosed. The system can include an optical imaging system comprising an array of optical detectors. The system can comprise processing electronics configured to process image data detected by the optical imaging system. The processing electronics can be configured to detect a target species based at least in part on the processed image data. The processing electronics can further be configured to, based on a detected amount of the target species, transmit an alarm notification to an external computing device over a communications network indicating that the target species has been detected at the petrochemical installation.

DETECTION SYSTEM AND DETECTION METHOD

A detection system includes an acquisition unit configured to acquire captured data from an imaging device that captures an image of a site, and a dangerous act determination unit configured to determine whether a person who performs a dangerous act is present at the site based on the captured data.

Content security for a video stream

A video capturing device configured to capture video data, the image capturing device comprising: an image processing pipeline configured to generate a video stream from the captured video data; an encryption key activating module configured to, upon request, activate an encryption key and deactivate any previously activated encryption key used for encrypting the video stream, such that only one encryption key is activated to be used for encryption of the video stream at each instance in time; an encryption scheduler module configured to, at a predetermined time interval, instruct the encryption key activating module to activate an encryption key; an event handling module configured to, as a response to receiving indications of a detected event, instruct the encryption key activating module to activate an encryption key; an encryption module configured to encrypt the video stream using the one activated encryption key.

METHOD FOR EXTRACTING OIL STORAGE TANK BASED ON HIGH-SPATIAL-RESOLUTION REMOTE SENSING IMAGE

A method for extracting an oil storage tank based on a high-spatial-resolution remote sensing image is provided, including: acquiring an oil storage tank sample, and randomly dividing the oil storage tank sample into a training set and a testing set; building an oil storage tank extraction model based on a Res2-Unet model structure, wherein the Res2-Unet is a deep learning network based on a UNet semantic segmentation structure, and a Res2Net convolution block is configured to change a feature interlayer learning to a granular learning and is arranged in a residual mode; and performing a precision verification on the testing set.

Retail checkout terminal fresh produce identification system

Disclosed are systems and methods including starting with a first number of images, generating a second number of images by digital operations on the first number of images, extracting features from the second number of images, and generating a classification model by training a neural network on the second number of images wherein the classification model provides a percentage likelihood of an image's categorisation, embedding the classification model in a processor and receiving an image for categorisation, wherein the processor is in communication with a POS system, the processor running the classification model to provide output to the POS system of a percentage likelihood of the image's categorisation.

Comparing planogram compliance to checkout data

The present disclosure relates to systems and methods for identifying products and monitoring planogram compliance using analysis of image data. In one implementation, the method may include accessing at least one planogram describing a desired placement of a plurality of product types on shelves of a plurality of retail stores; receiving image data from the plurality of retail stores; analyzing the image data to determine an actual placement of the plurality of product types on the shelves of the plurality of retail stores; determining at least one characteristic of planogram compliance based on detected differences between the at least one planogram and the actual placement of the plurality of product types on the shelves of the plurality of retail stores; and receiving checkout data from the plurality of retail stores reflecting sales of at least one product type from the plurality of product types.

CAMERA VIEW PORT DEDICATED SELF CLEANING CYCLES

A dedicated self-cleaning cycle for a camera for imaging a cavity of an oven is provided. An indication is received to perform a localized pyrolytic cycle to clean a view port glass protecting an image sensor of the camera from heat or detritus in the cavity of the oven. Responsive to the indication, a camera viewport heating element configured to provide localized heating to the view port glass is operated to perform the localized pyrolytic cycle. The camera is utilized to view the cavity of the oven.

Aerial video based point, distance, and velocity real-time measurement system

A method of determining geo-reference data for a portion of a measurement area includes providing a monitoring assembly comprising a ground station, providing an imaging assembly comprising an imaging device with a lens operably coupled to an aerial device, hovering the aerial device over a measurement area, capturing at least one image of the measurement area within the imaging device, transmitting the at least one image to the ground station using a data transmitting assembly, and scaling the at least one image to determine the geo-reference data for the portion of the measurement area by calculating a size of a field-of-view (FOV) of the lens based on a distance between the imaging device and the measurement area.

OBJECT SEARCH DEVICE AND OBJECT SEARCH METHOD

An object of the invention is to configure an object search device capable of expressing information on shapes and irregularities as features only by images, in a search for an object that is characteristic in shape or irregularity, and performing an accurate search. The object search device includes: an image feature extraction unit that is configured with a first neural network, and is configured to input an image to extract an image feature; a three-dimensional data feature extraction unit that is configured with a second neural network, and is configured to input three-dimensional data to extract a three-dimensional data feature; a learning unit that is configured to extract an image feature and a three-dimensional data feature from an image and three-dimensional data of an object obtained from a same individual, respectively, and update an image feature extraction parameter so as to reduce a difference between the image feature and the three-dimensional data feature; and a search unit ...

DRONE PRE-SURVEILLANCE

Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to pre-surveil a portion of a property. In one aspect, a system may include a monitoring unit. The monitoring unit may include a network interface, a processor, and a storage device that includes instructions to cause the processor to perform operations. The operations may include obtaining data that is indicative of one or more acts of an occupant of the property, applying the obtained data that is indicative of one or more acts of the occupant of the property to a pre-surveillance rule, determining that the pre-surveillance rule is satisfied, determining a drone navigation path that is associated with the pre-surveillance rule, transmitting, to a drone, an instruction to perform pre-surveillance of the portion of the one or more properties using the drone navigation path.

Recognition apparatus and method

A method of identifying an object within an environment is described for capturing visual data associated with the environment and comparing data defining a candidate object in the environment with an object data store storing object templates providing data pertaining to one or more objects; responsive to matching the data defining the candidate object in the environment and an object template, identifying the candidate object; and responsive to failing to match data representing the candidate object in the environment with an object template, identifying one or more object identifiers disposed in the environment to define identifier search data, and using the identifier search data to interrogate a further object data store to identify the candidate object.

Automatic animal detection and deterrent system

This disclosure provides a method of detecting and deterring a target animal from a target area. A target area is positioned within the field of vision of a video camera connected to a computer processing system. An animal identification computer program using convolution neural networks and deep learning computer programs and camera images rapidly detects a target animal. The animal identification computer program is trained to identify target animals accurately using a learning algorithm and related machine learning technology. The time to deploy a deterrent against a target animal from the instant of detection is 2 seconds or less so that little or no time is available to the target animal to damage the target area.

SMART ALARM MANAGEMENT

A security alarm management system and method includes a reader device, a person counter, and an alarm. The reader device reads security tags within a range of the reader. The person counter detects people passing through a point of entry. The person counter can determine a direction of travel of people passing through the point of entry. A white-list includes entries or product identifiers that will not trigger an alarm. The alarm is triggered if conditions associated with the reader device, person counter, and white-list are met.

METHOD OF AUGMENTING HUMAN PERCEPTION OF THE SURROUNDINGS

The present disclosure relates to a method of augmenting human perception of the surroundings, comprising: receiving a first set of data from a user device associated with the user, the first set of data comprising at least location information; receiving a second set of data from a local distributed database associated with the location information, the second set of data comprising a position of one or more entities; constructing a digital model representing the user and the one or more entities using the first and second set of data; projecting a respective course for the user and for the or each entity by inputting the digital model into a first machine learning algorithm (MLA) to infer one or more events; identifying at least one inferred event relevant to the user by inputting the one or more inferred events to the first MLA; and communicating the at least one relevant inferred event to the user.

DATA ANALYSIS APPARATUS AND DATA ANALYSIS METHOD

A data analysis apparatus is provided with a graph data generation unit that generates, in chronological order, a plurality of items of graph data configured by combining a plurality of nodes representing attributes for each element and a plurality of edges representing relatedness between the plurality of nodes, a node feature vector extraction unit that extracts a node feature vector for each of the plurality of nodes, an edge feature vector extraction unit that extracts an edge feature vector for each of the plurality of edges, and a spatiotemporal feature vector calculation unit that calculates a spatiotemporal feature vector indicating a change in node feature vector by performing, on the plurality of items of graph data generated by the graph data generation unit, convolution processing for each of a space direction and a time direction on the basis of the node feature vector and the edge feature vector.

EXCREMENT DETERMINATION METHOD, EXCREMENT DETERMINATION DEVICE, AND NON-TRANSITORY COMPUTER READABLE RECORDING MEDIUM

An excrement determination device performs: acquiring image data captured by a camera which is located at a toilet provided in a toilet room to photograph a bowl of the toilet; acquiring sensing data from a sensor that detects sitting and leaving of a user onto and from the toilet; deciding whether to validate or invalidate the image data on the basis of a change in the sensing data; determining, on the basis of image data decided to be valid, an occurrence of at least one of defecation and urination; and outputting a result of the determination.

Systems and methods for electronic monitoring and protection

An electronic monitoring and protection system which obtains permission from each of a plurality of users to access security data from one or more monitoring devices. The electronic monitoring and protection system using the security data to determine a threat level posed to a person to be protected, and initiating an action if the threat level exceeds a predetermined threshold.

Methods and systems for developing a personalized non-profit venue experience and presenting personalized multimedia to a mobile computing device

A method for developing content for a personalized non-profit venue experience using a mobile computing device, comprising: providing an interface for management of a set of multimedia assets; receiving a mapping of multimedia assets to a set of locations on a site plan for the non-profit venue; receiving metadata for the set of multimedia assets; receiving personalized interest data indicating personal philanthropic interests of a visitor to the non-profit venue; and applying a machine learning algorithm to analyze the metadata and the personalized interest data to provide, to a mobile computing device, a selection of a multimedia asset from the set of multimedia assets for consumption by the visitor.

Locally and globally locating actors by digital cameras and machine learning

Motion of actors within a scene may be detected based on imaging data, using machine learning tools operating on cameras that captured the imaging data. The machine learning tools process images to perform a number of tasks, including detecting heads of actors, and sets of pixels corresponding to the actors, before constructing line segments from the heads of the actors to floor surfaces on which the actors stand or walk. The line segments are aligned along lines extending from locations of heads within an image to a vanishing point of a camera that captured the image. Trajectories of actors and visual data are transferred from the cameras to a central server, which links trajectories captured by multiple cameras and locates detected actors throughout the scene, even when the actors are not detected within a field of view of at least one camera.

RETAIL SHELF IMAGE PROCESSING AND INVENTORY TRACKING SYSTEM

The disclosed system and method relate to automatically detecting empty spaces on retail store shelves, identifying the missing product(s) and causing the space to be replenished or restocked. For example, stores may use shelf-mounted imaging devices to capture images of shelves across the aisle from the imaging devices. The images captured by the imaging devices may be pre-processed to de-warp, de-skew images and stitch together multiple images in order to retrieve an image that captures a full width of a shelf. The pre-processed images can then be used to detect products on the shelf, identify the detected products. For example, the captured image may be compared against a reference background image using a background modeling algorithm to identify empty spaces and mis-shelved items within the shelf.

Techniques for a smart monitoring system

Methods, systems, and devices that support techniques for a smart monitoring system are described. A system may monitor a physical environment using a camera-enabled device operating in a first mode of a set of modes. The system may determine one or more parameters based on the monitoring. The parameters may include an identity of an entity, a behavior of the entity, or a setting of the security and automation system, or any combination thereof. The system may perform an operation based on the one or more parameters. The techniques described herein may deter an intruder from an intended action (e.g., theft, property damage, etc.) and/or provide lighting to a user of the security and automation system, among other benefits.

Online Industrial Flare Smoke Auto-Detection and Off-Line Smoking Event Reporting

A system and computer software mechanism is disclosed that can automatically detect smoking conditions for industrial flares. In an online mode, the software mechanism can analyze live video images to identify smoking conditions and generate a “Smoke Level” value to represent the seriousness of the smoking events. In an off-line mode, the software mechanism can load saved video files and analyze video images to identify smoking conditions and generate a “Smoke Level” value to represent the seriousness of the smoking events. In the online mode, the Smoke Level data can be sent to the plant distributed control system (DCS) or other control devices so alarms can be generated and automatic or manual control actions can be taken quickly to stop the flare from smoking. In both online and off-line modes, Smoke Level data can also be saved in historical files for reporting and smoke event tracking purposes. Using the described system and software mechanism, industrial plants can comply with EPA ...

Social distancing methods and devices

The embodiments disclose a method including providing an aerial drone coupled wirelessly to a social distancing application on a user digital device, wherein the drone is coupled to solar cell panels for recharging its batteries, providing a strobe light coupled to the drone for signaling an S.O.S. automatically in emergency situations, cellular communication device coupled to the drone for transmitting and receiving messages from the social distancing application, wherein the drone includes a cellular signal strength sensor to automatically move to a location to boost cellular signal strength, and providing at least one camera for capturing images and videos during user directed reconnaissance, drone sensors to detect and measure aerosols including biologics and DNA in an area, electromagnetic fields, barometric pressure, humidity, ambient temperature, wind speed and direction, detection and identification devices to detect unnatural sounds, to analyze and identify manmade, animal and ...

IP security camera combining both infrared and visible light illumination plus sensor fusion to achieve color imaging in zero and low light situations

An apparatus includes a first light source, a second light source, an image sensor circuit, and a processing circuit. The first light source is generally capable of emitting infrared light. The second light source is generally capable of emitting visible light. The image sensor circuit is generally responsive to both the infrared light and the visible light. The processing circuit is generally coupled to the image sensor circuit and configured to generate an image comprising both infrared information and color information.

Target association using occlusion analysis, clustering, or both

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for tracking moving objects depicted in multiple images. One of the methods includes determining, for an image captured by a camera, a first bounding box that represents a first moving object depicted in the image, determining that the first bounding box and a second bounding box overlap in an overlap area, determining that the first moving object represented by the first bounding box was farther from the camera that captured the image than a second moving object represented by the second bounding box, generating a mask for the first bounding box based on the overlap area, and determining, using data from the image that is associated with the mask, that the first moving object matches an appearance of another moving object depicted in another image captured by the camera.

WAITING TIME ESTIMATION DEVICE, WAITING TIME ANNOUNCEMENT SYSTEM, WAITING TIME ESTIMATION METHOD, AND PROGRAM STORAGE MEDIUM

A waiting time estimation device includes an acquisition unit, an estimation unit and an output unit. From captured images of queuing-up people, the acquisition unit acquires, as attribute information, at least one piece of information out of: the behaviors of the queuing-up people; the types of the belongings of the queuing-up people; the facial expressions of the queuing-up people; and information as to whether or not any groups have been formed in the queuing-up people. The estimation unit estimates, as the waiting time in the queuing-up case, a time that is obtained by modifying a standard waiting time in the queuing-up case through the use of a modification time having been set on the basis of the attribute information. The output unit outputs the estimated waiting time of the queue toward an announcement device that announces the waiting time.

Retail inventory shrinkage reduction via action recognition

This disclosure includes technologies for action recognition in general. The disclosed system may automatically detect various types of actions in a video, including reportable actions that cause shrinkage in a practical application for loss prevention in the retail industry. Further, appropriate responses may be invoked if a reportable action is recognized. In some embodiments, a three-branch architecture may be used in a machine learning model for action and/or activity recognition. The three-branch architecture may include a main branch for action recognition, an auxiliary branch for learning/identifying an actor (e.g., human parsing) related to an action, and an auxiliary branch for learning/identifying a scene related to an action. In this three-branch architecture, the knowledge of the actor and the scene may be integrated in two different levels for action and/or activity recognition.

IMAGE PROCESSING SYSTEM, IMAGE PROCESSING METHOD, AND PROGRAM STORAGE MEDIUM

Provided is an image processing system, an image processing method, and a program for preferably detecting a mobile object. The image processing system includes: an image input unit for receiving an input for some image frames having different times in a plurality of image frames constituting a picture, which is of a pixel on which the mobile object appears or a pixel on which the mobile object does not appear, for selected arbitrary one or more pixels in an image frame at the time of processing; and a mobile object detection model constructing unit for learning a parameter for detecting the mobile object based on the input.

PIG REARING SUPPORT APPARATUS, PIG REARING SUPPORT METHOD, AND NON-VOLATILE STORAGE MEDIUM STORING PIG REARING SUPPORT PROGRAM

A pig rearing support apparatus includes: an acquirer configured to acquire image data of an image captured by a camera unit installed facing a pen in which sows are raised in a group; a detector configured to detect mounting behavior of the sows based on the image of the image data; and a count processor configured to count the number of times the mounting behavior is detected within a preset observation period. Such a pig rearing support apparatus can inform a breeder at the right time without involving excessive cost or labor whether there is any sow that shows estrus symptoms among sows being raised in a group in a pen.

Mobile Image Surveillance Methods

Detection models are distributed as needed to a select subset of image capture devices, based on geographic location and time of the image capture devices. Each image capture device which receives a model processes image data according to the model, and provides a notification of any detected instances of an event the model is trained to detect. Distribution and detection can be based on historical data or live data.

Systems and methods for 2D to 3D conversion

According to some embodiments, a method includes accessing a video generated by a first physical camera in a physical environment. The method further includes identifying an object of interest in the video frame that corresponds to a physical object in the physical environment. The method further includes displaying a virtual 3D environment that corresponds to the physical environment. The method further includes configuring a plurality of settings of a first virtual camera to match a plurality of settings of a first physical camera and configuring a plurality of settings of a second virtual camera to match a plurality of settings of a second physical camera. The method further includes projecting the identified object of interest into the virtual 3D environment using the configured first and second virtual cameras.

Media content management

Embodiments include a system comprising a gateway that includes a processor coupled to sensors and/or network devices installed at a premises. The system includes a remote server coupled to the gateway and located remote to the premises. The gateway and/or the remote server includes data of the sensors and/or network devices. The system includes an application running on at least one of the gateway and the remote server. The application controls events corresponding to the data and/or the premises in response to content of the data. The system includes a client interface coupled to the gateway and/or the remote server. The client interface presents the data to client devices.

Automatic appending of subtitles based on media context

A processor may automatically generate one or more transcripts based on a media context. The processor may append at least one of the one or more transcripts to the media. The processor may modify the at least one of the one or more transcripts based on an adjustment to a weight factor.

Systems and methods for oilfield drilling operations using computer vision

Computer vision drilling systems and methods may be used with a drilling rig. The computer vision systems and methods may be used during drilling of a well to monitor the drilling equipment and personnel on the drilling site to provide safer drilling operations. The results from the computer vision drilling system may be used to cause corrective actions to be performed if a safety condition arises. In addition, computer vision systems and methods are provided to automatically monitor the drilling site and drilling operations, such as by tallying pipe in the drill string and by monitoring equipment for anomalous drilling conditions, and automatically taking corrective action as may be needed.

Machine learning based content-aware image frame encoding

An electronic device and method for content-aware image encoding using a machine learning (ML) model are provided. The electronic device receives at least one foreground region and at least one background region from a first image frame. The electronic device determines a set of first macroblocks associated with the detected at least one foreground region and a set of second macroblocks associated with the detected at least one background region, determines a bit allocation control parameter associated with the determined set of second macroblocks, updates the determined bit allocation control parameter based on an application of a first trained ML model, and encodes the first image frame based on the updated bit allocation control parameter to obtain a second image frame so that a first image quality index associated with the first image frame matches a second image quality index associated with the second image frame within a threshold range.

Emotional state models and continuous update of emotional states of artificial intelligence characters

Systems and methods for continuously updating emotional states of artificial intelligence (AI) characters using emotional state models are provided. An example method includes providing an emotional state model trained to predict an emotional state of an AI character generated by an AI character model in a virtual environment; continuously monitoring a context of an interaction involving the AI character; generating, based on the context, an input for the emotional state model; providing the input to the emotional state model; obtaining, from the emotional state model, the emotional state of the AI character based on the input; and adjusting, based on the emotional state, parameters of the AI character model, thereby causing the AI character to act according to the emotional state.

RECORDING CONTROL DEVICE, RECORDING CONTROL SYSTEM, RECORDING CONTROL METHOD, AND RECORDING CONTROL PROGRAM

DEVICE WITH A DISPLAY AND A CONTACTLESS TEMPERATURE SENSING UNIT

SYSTEM AND METHOD FOR TRACKING A PORTION OF THE USER AS A PROXY FOR NON-MONITORED INSTRUMENT

METHOD AND APPARATUS FOR IDENTIFYING PRODUCT THAT HAS MISSED INSPECTION, ELECTRONIC DEVICE, AND STORAGE MEDIUM

The disclosure provides a method and an apparatus for recognizing product detection missed, an electronic device, and a storage medium, and relates to a field of computer technologies and more particularly to a field of artificial intelligence technologies such as computer vision, natural language processing, image processing, and deep learning. The detailed implementation includes: obtaining a surveillance video; generating product detection results by inputting video frames of the surveillance video into a product detection model; generating detecting action recognition results by inputting the video frames of the surveillance video into an action recognition model; and determining whether product detection is missed based on the product detection results and the detecting action recognition results. In this way, it may be quickly determined whether detection of a product in an industrial production line is missed, with a high detection accuracy.

VEHICLE MONITORING METHOD AND IMAGE ACQUISITION DEVICE

PORTABLE SCANNING DEVICE FOR ASCERTAINING ATTRIBUTES OF SAMPLE MATERIALS

СИСТЕМА И СПОСОБ ДЛЯ ОТСЛЕЖИВАНИЯ ТРАНСПОРТНЫХ СРЕДСТВ НА МНОГОУРОВНЕВЫХ ПАРКОВКАХ И НА ПЕРЕКРЕСТКАХ

Изобретение относится к области техники систем отслеживания. Технический результат заключается в повышении точности системы отслеживания в окружении вне помещений и в присутствии других источников электромагнитного излучения. Система сконфигурирована с возможностью отслеживать отраженное в обратном направлении электромагнитное излучение и ассоциировать отраженное в обратном направлении электромагнитное излучение с множеством отражающих в обратном направлении элементов в пределах области обнаружения, идентифицировать изменения отраженного в обратном направлении электромагнитного излучения и ассоциировать идентифицированные изменения с информацией касательно транспортного средства, оценивать информацию касательно транспортного средства для определения перемещения транспортного средства, размера транспортного средства, формы транспортного средства, положения транспортного средства или их комбинации и управлять автоматизированным устройством на основе оцененной информации касательно транспортного ...

СПОСОБ, СИСТЕМА И УСТРОЙСТВО ОПРЕДЕЛЕНИЯ ДЕЙСТВИЯ

Изобретение относится к способу и устройствам определения действия. Технический результат заключается в более надежном определении необходимости запуска ответного действия на устройстве реагирования. В способе получают текущее событие, обнаруженное устройством обнаружения событий; при наличии целевой группы событий, совпадающей с какой-либо группой событий по правилу связывания и содержащей текущее событие в числе полученных событий, определяют целевое ответное действие, подходящее для целевой группы событий, по правилу связывания, причем интервал между временами наличия любых двух событий в целевой группе событий не превышает заранее заданную допустимую продолжительность отсутствия синхронизации, при этом допустимая продолжительность отсутствия синхронизации представляет собой допустимый максимальный диапазон расхождения, так что два события, интервал времени наличия которых меньше максимального диапазона расхождения, принимаются в качестве синхронно происходящих событий, при этом правило ...

Monitoring device, monitoring system, method, computer program and machine-readable storage medium

The invention relates to a monitoring device (10) for recognizing persons in a monitoring region (2), the monitoring region (2) being video-monitored by means of at least one camera (6) and the camera (6) being designed to provide monitoring images (7) to the monitoring device (10) as video data, the monitoring device comprising: - a feature determination apparatus (13), the feature determination apparatus (13) being designed to determine a feature vector (19) for each object in at least one of the monitoring images (7); - a person recognition apparatus (16), the person recognition apparatus (16) being designed to detect in the monitoring images (7) a person to be recognized (11), on the basis of the determined feature vector and/or the determined feature vectors (19) of the feature determination apparatus (13) and/or a combined feature vector (18); - an association apparatus (14), the association apparatus (14) being designed to determine a feature vector (19) for each person to be recognized ...

Validation of procedures in a decontamination process

A method for validating a decontamination procedure performed on a medical device using a decontamination system. The method comprises: capturing a video stream of a work area 34 in which the decontamination procedure is carried out by a user; analysing the video stream to identify one or more decontamination events in the video stream that correspond with the decontamination procedure being correctly performed on the medical device; determining, based on the or each identified decontamination event, if the decontamination procedure has been completed; and upon determining that the decontamination procedure has been completed, causing a corresponding indication to be provided to the user. The decontamination event can comprise the application of a decontaminating composition to the medical device. The method may include alerting the user to potential errors and/or logging data to provide an audit trail. Preferably the analysis of the video stream is with a trained neural network. There ...

Validation of procedures in a decontamination process

A method for validating a mixing procedure in a process using a two-part disinfectant system which comprises a first part comprising a first reagent in a carrier medium and a second reagent in a carrier medium. The second part is miscible with the first part to react to provide a disinfecting composition. The method comprises: capturing a video stream of a work area 34 in which the mixing procedure is carried out by a user; analysing the video stream to identify one or more mixing events in the video stream that correspond with the mixing procedure being correctly performed; determining, based on the or each identified mixing event, if the mixing procedure has been completed; and upon determining that the mixing procedure has been completed, causing a corresponding indication to be provided to the user. The method may include alerting the user to potential errors and/or logging data to provide an audit trail. Preferably the analysis of the video stream is with a trained neural network.

Alias capture to support searching for an object-of-interest

An apparatus and method for imaging containers

There is provided a control unit (100) to control an imaging unit to perform imaging of a tray/container (401). The control unit is further arranged to cause the performance of actions on the container using automated machines and/or directing humans to perform an action. In particular, the present invention provides a control unit arranged to detect the presence of contamination in a container based on an image of the container captured by an imaging unit (201), the control unit comprising a receiving unit (101) arranged to receive an image of the container from the imaging unit. The control unit further comprises a determining unit (102) arranged to determine whether the container is contaminated based on the received image and a commanding unit (103) arranged to, when the determining unit determines that the container is contaminated, direct the container to a cleaning unit (502).

Validation of procedures in a decontamination process

Automatic digital inspection of railway environment

A method for automatic digital inspection of a railway environment is disclosed. The method comprises receiving 102 at least a first video captured by at least one camera mounted on a rail vehicle, wherein the first video comprises video frames representing the railway environment; generating 104 point clouds using the video frames, wherein a given point cloud correspond to a given set of video frames; attributing labels 106 to each pixel of the video frames for generating annotated video frames evaluating 108 the annotated video frames and their corresponding point clouds using a set of predefined rules to at least determine whether or not at least one violation is present in the railway environment; generating 110 inspection information related to at least one violation, when it is determined that at least one violation is present in the railway environment; and sending 112 the inspection information to a user device. LIDAR and/or neural networks may be employed. The predefined rules ...

Three-dimensional geometry-based models for changing facial identities in video frames and images

Techniques are disclosed for changing the identities of faces in video frames and images. In embodiments, three-dimensional (3D) geometry of a face is used to inform the facial identity change produced by an image-to-image translation model, such as a comb network model. In some embodiments, the model can take a two-dimensional (2D) texture map and/or a 3D displacement map associated with one facial identity as inputs and output another 2D texture map and/or 3D displacement map associated with a different facial identity. The other 2D texture map and/or 3D displacement map can then be used to render an image that includes the different facial identity.

Efficient method for tracking people

In accordance with one embodiment, a method to track persons includes generating a first and second set of facial coefficient vectors by: (i) providing a first and second image containing a plurality of persons; (ii) locating faces of persons in each image; and (iii) generating a facial coefficient vector for each face by extracting from the images coefficients sufficient to locally identify each face, then tracking the persons within the images, the tracking including comparing the first set of facial coefficient vectors to the second set of facial coefficient vectors to determine for each person in the first image if there is a corresponding person in the second image. Optically the method includes using estimated locations in combination with the vector distance between facial coefficient vectors to track persons.

System and method for video-assisted identification of mobile phone users

Methods and systems for identifying and tracking individuals in a area-of-interest that may be covered by a video surveillance subsystem and by a communication location subsystem, and a correlation system correlates the outputs of the two subsystems. The communication location subsystem may monitor communication of mobile phones. The video subsystem captures video images of the area-of-interest, and processes the video images so as to identify individuals who are present in the area. The correlation system correlates a given mobile phone with a given individual who was identified by the video subsystem as being engaged in a phone conversation. After correlating the mobile phone with the individual using the phone, the correlation system outputs correlated information regarding the phone and its user to an operator.

Eliminating Clutter in Video Using Depth Information

A method of clutter elimination in digital images is provided that includes identifying a foreground blob in an image, determining a depth of the foreground blob, and indicating that the foreground blob is clutter when the depth indicates that the foreground blob is too close to be an object of interest. Methods for obstruction detection in depth images such as those captured by stereoscopic cameras and structured light cameras are also provided.

Event determination by alignment of visual and transaction data

Determination of human behavior from an alignment of data streams includes acquiring visual image primitives from a video input comprising visual information relevant to a human activity. The primitives are temporally aligned to an optimally hypothesized sequence of primitives transformed from a sequence of transactions as a function of a distance metric between the observed primitive sequence and the transformed primitive sequence. More particularly, transforming includes comparing the distance metric costs and choosing and performing the lowest cost of temporally matching the observed primitives to one or more transactions, deleting a primitive, or associating a primitive with a pseudo transaction marker. Accordingly, alerts are issued based on analysis of the transformation of primitives.

System and method for multi-agent event detection and recognition

A method and system for creating a histogram of oriented occurrences (HO2) is disclosed. A plurality of entities in at least one image are detected and tracked. One of the plurality of entities is designated as a reference entity. A local 2-dimensional ground plane coordinate system centered on and oriented with respect to the reference entity is defined. The 2-dimensional ground plane is partitioned into a plurality of non-overlapping bins, the bins forming a histogram, a bin tracking a number of occurrences of an entity class. An occurrence of at least one other entity of the plurality of entities located in the at least one image may be associated with one of the plurality of non-overlapping bins. A number of occurrences of entities of at least one entity class in at least one bin may be into a vector to define an HO2 feature.

Method and system of video object tracking

Methods and systems are provided to determine a target tracking box that surrounds a moving target. The pixels that define an image within the target tracking box can be classified as background pixels, foreground pixels, and changing pixels which may include pixels of an articulation, such as a portion of the target that moves relatively to the target tracking box. Identification of background image pixels improves the signal-to-noise ratio of the image, which is defined as the ratio between the number of pixels belonging to the foreground to the number of changing pixels, and which is used to track the moving target. Accordingly, tracking of small and multiple moving targets becomes possible because of the increased signal-to-noise ratio.

Detector for chemical, biological and/or radiological attacks

This specification generally relates to methods and algorithms for detection of chemical, biological, and/or radiological attacks. The methods use one or more sensors that can have visual, audio, and/or thermal sensing abilities and can use algorithms to determine by behavior patterns of people whether there has been a chemical, biological and/or radiological attack.

Automated monitoring and control of safety in a production area

A machine vision process monitors and controls safe working practice in a production area by capturing and processing image data relative to personal protective equipment (PPE) worn by individuals, movement of various articles, and movement-related conformations of individuals and other objects in the production area. The data is analyzed to determine whether there is a violation of a predetermined minimum threshold image, movement, or conformation value for a predetermined threshold period of time. The determination of a safety violation triggers computer activation of a safety control device. The process is carried out using a system including an image data capturing device, a computer and computer-readable program code, and a safety control device.

Method and system for automatic object detection and subsequent object tracking in accordance with the object shape

A method and system for automatic object detection and subsequent object tracking in accordance with the object shape in digital video systems having at least one camera for recording and transmitting video sequences. In accordance with the method and system, an object detection algorithm based on a Gaussian mixture model and expanded object tracking based on Mean-Shift are combined with each other in object detection. The object detection is expanded in accordance with a model of the background by improved removal of shadows, the binary mask generated in this way is used to create an asymmetric filter core, and then the actual algorithm for the shape-adaptive object tracking, expanded by a segmentation step for adapting the shape, is initialized, and therefore a determination at least of the object shape or object contour or the orientation of the object in space is made possible.

Video analytics method and system

A method for performing video analytics comprises capturing video data using a video source disposed at an acquisition end. The captured video data is stored at the acquisition end, and non-adjacent single frames of the captured video data are transmitted from the acquisition end to a server via an IP network. The non-adjacent single frames of captured video data are transmitted one at a time at known time intervals, or a burst of a plurality of non-adjacent single frames is transmitted at another known time interval. At the server, video analytics is performed on a current one of the non-adjacent single frames for detecting an actionable event relative to a previous one of the non-adjacent single frames. In response to detecting an actionable event, a signal for requesting previously stored video data captured between the current one of the non-adjacent single frames and the previous one of the non-adjacent single frames is transmitted to the acquisition end via the IP network.

Method for finding paths in video

A system for detecting behavior of a target may include: a target detection engine, adapted to detect at least one target from one or more objects from a video surveillance system recording a scene; a path builder, adapted to create at least one mature path model from analysis of the behavior of a plurality of targets in the scene, wherein the at least one mature path model includes a model of expected target behavior with respect to the at least one path model; and a target behavior analyzer, adapted to analyze and identify target behavior with respect to the at least one mature path model. The system may further include an alert generator, adapted to generate an alert based on the identified behavior.

Method and system for selecting a video analysis method based on available video representation features

A method is performed for selecting a video analysis method based on available video representation features. The method includes: determining a plurality of available video representation features for a first video output from a first video source and for a second video output from a second video source; and analyzing the plurality of video representation features as compared to at least one threshold to select one of a plurality of video analysis methods to track an object between the first and the second videos.

Data processing apparatus

A method of configuring data processing apparatus for automatically determining the real size of an object in an image of a scene is provided. The method includes responding to user input by displaying in the image of the scene displayed on the display screen a virtual object representative of a real size object to establish a first datum position, and storing data defining the first datum position; varying a size of the virtual object in the image; storing data representative of a horizontal and vertical size of the virtual object relative to the displayed image at the first datum position; displaying said virtual object at a second datum position in said image; varying the size of the virtual object on the display screen at the second datum position; and storing data representative of the vertical and horizontal size of the virtual object at the second datum position.

Method for building and extracting entity networks from video

A computer implemented method for deriving an attribute entity network (AEN) from video data is disclosed, comprising the steps of: extracting at least two entities from the video data; tracking the trajectories of the at least two entities to form at least two tracks; deriving at least one association between at least two entities by detecting at least one event involving the at least two entities, said detecting of at least one event being based on detecting at least one spatio-temporal motion correlation between the at least two entities; and constructing the AEN by creating a graph wherein the at least two objects form at least two nodes and the at least one association forms a link between the at least two nodes.

Method and multi-scale attention system for spatiotemporal change determination and object detection

A method and multi-scale attention system for the detection of objects and temporal change regions by a spatiotemporal attention operator of an image sequence, which linearly aggregates temporal change filter with spatial saliency filter and includes an extractor of salient maxima, which selects consecutive salient maxima of the spatiotemporal operator to produce the locations of the objects of interest and the centers of temporal change regions. The concept of spatial local scale introduced into the system and method for its determination allows for a scale-adaptive integration of the temporal change with spatial saliency and effective detection of different in size and location objects of interest. Can be used for object and spatiotemporal change detection in monitoring pollution, natural disasters, weather conditions and environmental changes based on satellite remote sensing imagery from various sensors.

Image processing to prevent access to private information

A processing resource receives original image data by a surveillance system. The original image data captures at least private information and occurrence of activity in a monitored region. The processing resource applies one or more transforms to the original image data to produce transformed image data. Application of the one or more transforms sufficiently distorts portions of the original image data to remove the private information. The transformed image data includes the distorted portions to prevent access to the private information. However, the distorted portions of the video include sufficient image detail to discern occurrence of the activity in the retail environment.

Destination and duration of stay determination in a geographically bounded area

Embodiments of the present invention provide a method, system and computer program product for destination and duration of stay determination in a geographically bounded area such as a smart home. The method includes detecting movement by an identified individual in an origination location of a geographically bounded area and retrieving a contemporaneously generated pattern of movement for the individual. The method additionally includes comparing the pattern for the identified individual to a set of patterns in a pattern data store and predicting from a matching pattern both a destination location in the geographically bounded area and a duration of time at which the identified individual is to remain at the destination location. Finally, the method includes directing activation of a fixture at the destination location responsive to predicting the destination location, and directing deactivation of a fixture at the origination location responsive to predicting a duration of time that exceeds a threshold value.

Activity Recognition in Multi-Entity Environments

A physical environment is equipped with a plurality of non-obtrusive sensors (e.g., motion sensors). As a plurality of residents perform various activities within the physical environment, sensor readings are received from one or more of the sensors. Based on the sensor readings, each of the plurality of residents is identified and locations of each of the plurality of residents are tracked.

Method and system for automatic detection of a class of objects

An apparatus and method for providing automatic threat detection using passive millimeter wave detection and image processing analysis.

Multi-view object detection using appearance model transfer from similar scenes

View-specific object detectors are learned as a function of scene geometry and object motion patterns. Motion directions are determined for object images extracted from a training dataset and collected from different camera scene viewpoints. The object images are categorized into clusters as a function of similarities of their determined motion directions, the object images in each cluster are acquired from the same camera scene viewpoint. Zenith angles are estimated for object image poses in the clusters relative to a position of a horizon in the cluster camera scene viewpoint, and azimuth angles of the poses as a function of a relation of the determined motion directions of the clustered images to the cluster camera scene viewpoint. Detectors are thus built for recognizing objects in input video, one for each of the clusters, and associated with the estimated zenith angles and azimuth angles of the poses of the respective clusters.

Image processing apparatus and method

An information processing apparatus comprises a category recognition section, a characteristic recognition section and a specifying section. The category recognition section recognizes the category of a commodity using input imaged images. The characteristic recognition section recognizes the characteristics of a specific attachment attached to the commodity using the input imaged images. The specifying section specifies the specific information of the commodity according to the category of the commodity that is recognized by the category recognition section and the characteristics of the specific attachment recognized by the characteristic recognition section.

Method and device for locating persons in a prescribed area

The invention relates to a method and device for locating persons ( 12, 14 ) in a prescribed area ( 10 ) monitored by at least one image acquisition device ( 3 ), wherein the image acquisition device ( 3 ) continuously generates images of the prescribed monitored area ( 10 ), said images being analyzed and evaluated by means of at least one image-processing method and/or image analysis method, and to a computer program product and data processing program. According to the invention, the generated images of the prescribed area ( 10 ) are analyzed and evaluated for detecting and locating persons ( 12, 14 ), wherein detected and located persons ( 12, 14 ) are classified and associated with at least one prescribed group, wherein the association with a group is performed depending on prescribed clothing features.

Pre-record data storage device and pre-record data storage method

A pre-record data storage device includes: a first recording unit; a second recording unit having a capacitance larger than that of the first recording unit; a face comparison process executing unit that executes a face comparison process on a person's face detected from an image obtained by photographing the person; and a recording control unit. The recording control unit allows the first recording unit to start pre-recording of the image of the person from a face detection time when the person's face is detected, and to finish the pre-recording at a matched time when matching is confirmed as a result of the face comparison process of the face comparison process executing unit. The recording control unit stores pre-recorded data from the face detection time to the matched time in the second recording unit.

Real-Time Player Detection From A Single Calibrated Camera

A method for detecting the location of objects from a calibrated camera involves receiving an image capturing an object on a surface from a first vantage point; generating an occupancy map corresponding to the surface; filtering the occupancy map using a spatially varying kernel specific to the object shape and the first vantage point, resulting in a filtered occupancy map; and estimating the ground location of the object based on the filtered occupancy map.

Camera tracing and surveillance system and method for security using thermal image coordinate

A camera tracing and surveillance system and method for security using a thermal image coordinate, whereby an image having high resolution for identification in which a person can be accurately identified within a surveillance area and identity of the person can be accurately checked, can be obtained using a simple algorithm. To this end, the person within the surveillance area is identified and a position coordinate of the person is extracted from a thermal image captured by a thermal image camera, and a tracing and surveillance camera traces the person, enlarges an image of the person, and captures the enlarged image based on the extracted position coordinate so that an image having high resolution for identification can be obtained.

Behavior analysis device

A behavior analysis device has an object extraction portion that processes a frame image of an imaging area being imaged by an imaging device and extracts an object being imaged, a position detection portion that detects a position in the imaging area, for each object extracted by the object extraction portion, a posture estimation portion that estimates an posture of the object, for each object extracted by the object extraction portion, and a behavior determination portion that determines a behavior of the object, for each object extracted by the object extraction portion, based on the position in the imaging area that is detected by the position detection portion and the posture estimated by the posture estimation portion.

System and method for monitoring a retail environment using video content analysis with depth sensing

A method and system for monitoring a retail environment by performing video content analysis based on two-dimensional image data and depth data are disclosed. Accuracy in customer actions to provide assistance, change marketing behavior, safety and theft, for example, is increase by analyzing video containing two-dimensional image data and associated depth data. Height data may be obtained from depth data to assist in object detection, object classification (e.g., detection a customer or inventory) and/or event detection.

System and method for video content analysis using depth sensing

A method and system for performing video content analysis based on two-dimensional image data and depth data are disclosed. Video content analysis may be performed on the two-dimensional image data, and then the depth data may be used along with the results of the video content analysis of the two-dimensional data for tracking and event detection.

Image-monitoring device and method for ssearching for objects therefor

Disclosed are an image monitoring device capable of searching an object on the basis of a statistical model with respect to the characteristics of an object detected from a monitored image to thereby provide an object search function resistant to a variation in the characteristics of an object according to a monitoring environment, and a method for searching an object thereof. The method for searching an object by an image monitoring device, including: displaying a characteristic value of an object detected from a monitored image and a detection frequency of an object having the characteristic value on a first region; searching a frame, in which an object having a characteristic value selected from characteristic values displayed on the first region is detected, from the monitored image; and displaying the searched frame in a second region.

Method for human activity prediction from streaming videos

A method for human activity prediction from streaming videos includes extracting space-time local features from video streams containing video information related to human activities; and clustering the extracted space-time local features into multiple visual words based on the appearance of the features. Further, the method for the human activity prediction includes computing an activity likelihood value by modeling each activity as an integral histogram of the visual words; and predicting the human activity based on the computed activity likelihood value.

Image-monitoring device and method for detecting events therefor

Disclosed are an image monitoring device capable of detecting a meaningful event on the basis of a scenario by providing a function of setting various combinations of monitoring events in a monitored image in which a plurality of monitoring events are set, and an event detecting method thereof. The event detecting method of an image monitoring device includes: obtaining a monitored image; detecting an occurrence of a first monitoring event with respect to an object from the obtained monitored image; detecting an occurrence of a second monitoring event with respect to the object from the obtained monitored image; and storing information regarding the detected occurrence of the second monitoring event.

Image processing device, image processing method, and image processing program

An image processing device has an image input part to which a frame image of an imaging area taken with an infrared camera is input, a background model storage part in which a background model is stored with respect to each pixel of the frame image input to the image input part, a frequency of a pixel value of the pixel being modeled in the background model, a background difference image generator that determines whether each pixel of the frame image input to the image input part is a foreground pixel or a background pixel using the background model of the pixel, which is stored in the background model storage part, and generates a background difference image, and an object detector that sets a foreground region and detects an imaged object based on the foreground pixel in the background difference image generated by the background difference image generator.

Multispectral Detection of Personal Attributes for Video Surveillance

Techniques, systems, and articles of manufacture for multispectral detection of attributes for video surveillance. A method includes generating one or more training sets of one or more multispectral images, generating a group of one or more multispectral box features, using the one or more training sets to select one or more of the one or more multispectral box features to generate a multispectral attribute detector, and using the multispectral attribute detector to identify a location of an attribute in video surveillance, wherein using the multispectral attribute detector comprises, for one or more locations on each spectral band level of the multispectral image, applying the multispectral attribute detector and producing an output indicating attribute detection or an output indicating no attribute detection, and wherein the attribute corresponds to the multispectral attribute detector.

System and method for product identification

A system and method for identifying an object includes a plurality of object sensors, each object sensor configured and arranged to determine at least one parameter describing objects as they are relatively moved with respect to a sensing volume and having a known position and attitude with respect to the sensing volume. A location sensor is configured and arranged to produce position information relating to the relative movement. Outputs from the object and location sensors are passed to a processor and the parameters are associated with respective ones of the objects on the basis of the position information and on the basis of the known positions and attitudes of the sensors. For each object having associated parameters, the processor compares the parameters to known item parameters to assign item identification to the object.

Biometric matching technology

Biometric matching technology, in which a watch list is managed, multiple images of a potential suspect are accessed, and parallel pre-processing of the multiple images is controlled. Based on the pre-processing, an image of the potential suspect to use in matching against the watch list is determined and the determined image is used to search sorted biometric data included in the watch list. A subset of persons from the watch list is identified based on the search and parallel analysis of the determined image of the potential suspect against detailed biometric data associated with the subset of persons in the watch list is controlled. Based on the parallel analysis, it is determined whether the potential suspect matches a person in the watch list and a result is outputted based on the determination.

Processing distributions

A method and apparatus for processing a distribution of a population ( 4 ) distributed over a region of interest ( 2 ), the region ( 2 ) being divided into cells, the method comprising: measuring, at two different points in time, values of a measure of population intensity in each cell; for a cell, determining a vector of values, each value in the vector being a function of the intensity values measured in that cell and the population intensity values measured in a different cell; determining a matrix using the determined vector(s) and the population intensity values measured at one of the different points in time; and predicting, using the matrix and the value of the population intensity measured in a cell at either of the different points in time, a value for the measure of population intensity in that cell for a point in time different to the two different points in time.

System And Process For Detecting, Tracking And Counting Human Objects of Interest

A system is disclosed that includes: at least one image capturing device at the entrance to obtain images; a reader device; and a processor for extracting objects of interest from the images and generating tracks for each object of interest, and for matching objects of interest with objects associated with RFID tags, and for counting the number of objects of interest associated with, and not associated with, particular RFID tags.

Stationary target detection by exploiting changes in background model

A computer-implemented method for processing one or more video frames may include obtaining one or more video frames; generating one or more blobs using the one or more video frames; classifying the one or more blobs to produce one or more classified blobs, wherein the one or more classified blobs include one or more of a stationary target, a moving target, a target insertion, a target removal, or a local change; and constructing a list of detected targets based on the one or more classified blobs.

Surveillance including a modified video data stream

Systems and computer program products provide surveillance including a modified video data stream. The systems and products include computer readable program code, when read by a processor, that is configured for receiving at an image processor a first video data stream and a second video data stream, each of the first and second video data streams may include a target object having an assigned tracking position tag. The code further includes extracting a first facial image of the target object from the first video data stream, determining a target object location in the second video data stream based at least in part on the tracking position tag and generating a modified video data stream including the first facial image superimposed on or adjacent to the target object location in the second video data stream.

Apparatus and methods for use in flash detection

The present embodiments provide methods, systems and apparatuses that detect, classify and locate flash events. In some implementations, some of the methods detect a flash event, trigger an imaging system in response to detecting the flash event to capture an image of an area that includes the flash event, and determines a location of the flash event.

Techniques for video analytics of captured video content

Examples are disclosed for video analytics of captured video content. In some examples, information may be received from a host processing system for a camera to capture video content. The camera may be a surveillance camera or a camera located with a display device. Video analytics may be performed on the captured video and the captured video content may be encoded. Data associated with the video analytics may then be sent to the host processing system. In some examples, the data as well as encoded captured video content or streaming video may be sent via communication channels included in an interconnect. Other examples are described and claimed.

Identification system

An identification system for identifying, recording, and alerting to an impact between a vehicle and an impacting object, such as another vehicle that impacts the vehicle. At least one sensor positions on a front and rear bumper of the vehicle for sensing the impact and actuating the system in response. At least one camera on the vehicle periphery records the impacting object. Each camera positions on a periphery of the vehicle and tilts up to 180 degrees. An alert portion emits an alert in response to the impact. An antenna communicates with a positioning system to identify a location of the vehicle during the impact. A communication device stores and relays information, such as vehicle identification number, license plate number, and drivers license information of the impacting object to an emergency department. A processor and a SIM card store and identify information about each vehicle.

Automatic detection of persistent changes in naturally varying scenes

A method for detecting a persistent change in a dynamically varying scene includes: obtaining a set of reference images of the scene; transforming the reference images into an abstract feature space; classifying pixels of the reference images in the abstract feature space; generating a stable reduced-reference image based on the classifications of corresponding pixels; obtaining a set of test images of the scene; transforming the test images into the abstract feature space; classifying pixels of the test images in the abstract feature space; generating a stable test image based on the classifications of corresponding pixels; and comparing the stable reduced-reference and test images to one another to detect a difference therein, the difference corresponding to a persistent change in the dynamically varying scene occurring between when the reference images and the test images were obtained.

Asset Monitoring Using the Internet

Method for monitoring assets that include a sensor system that obtains data about contents thereof, a processor that derives information about the contents from the sensor data, and a communication system that, when linked to a communications network, wirelessly transmits the information derived by the processor via the Internet. The information is received at a data processing and storage facility, associated with a unique identification code for each asset, and stored in association with the identification code. Access to the stored information is effected via the Internet.

Authentication device, authentication method, and recording medium

An authentication device includes an image acquisition unit, an identification unit, and an authentication unit. The image acquisition unit acquires an image of an eye of a subject. The identification unit identifies the colored pattern of a colored contact lens worn by the subject by comparing a reference image with the image of the eye. The authentication unit identifies the subject, using a feature in a region other than a colored region of the colored pattern in the iris region of the eye.

Information processing apparatus, information processing method, and non-transitory storage medium

A controller is provided that is configured to perform: obtaining information about a condition for an image that is provided to a user, and that corresponds to a preference of the user; specifying at least one predetermined position at which an image satisfying the condition can be taken; and generating a command for a moving object to move to the predetermined position and to take an image, and transmitting the command to the moving object.

Method and System for Generating a Smart Time-Lapse Video Clip

An electronic device with a display, processor(s), and memory displays a video monitoring user interface including a video feed from a camera located remotely from the client device in a first region and an event timeline in a second region, the event timeline including event indicators for motion events previously detected by the camera. The electronic device detects a user input selecting a portion of the event timeline, where the selected portion of the event timeline includes a subset of the event indicators. In response to the user input, the electronic device causes generation of a time-lapse video clip of the selected portion of the event timeline. The electronic device displays the time-lapse video clip, where motion events corresponding to the subset of the event indicators are played at a slower speed than the remainder of the selected portion of the event timeline.

Systems and methods for monitoring remote installations

A system for monitoring a petrochemical installation is disclosed. The system can include an optical imaging system comprising an array of optical detectors. The system can comprise processing electronics configured to process image data detected by the optical imaging system. The processing electronics can be configured to detect a target species based at least in part on the processed image data. The processing electronics can further be configured to, based on a detected amount of the target species, transmit an alarm notification to an external computing device over a communications network indicating that the target species has been detected at the petrochemical installation.

Apparatus and method for video analytics

An apparatus for Video Analytics (VA), including an object identifier configured to identify an object in a video image, a property extractor configured to extract properties of the object, a property-of-interest designator configured to designate at least some of the extracted properties as properties of interest for identifying a target, and a target recognizer configured to recognize an object identified in a video image as a target in a case where properties of the object are similar to properties of interest.

Method and System for Processing Motion Event Notifications

The disclosed embodiments include a system for processing motion events. The system obtains a video stream from a camera, the video stream corresponding to a field of view of the camera and obtains identification of a spatial zone, the spatial zone corresponding to at least a portion of the field of view of the camera. For each motion event detected in the video stream: (1) the system determines whether the motion event involves the spatial zone; and (2), in accordance with a determination that the motion event involves the spatial zone, the system suppresses a first user notification for the motion event.

Method and system for detecting the occurrence of an interaction event via trajectory-based analysis

Disclosed is a method and system for detecting an interaction event between two or more objects in a surveillance area, via the application of heuristics to trajectory representations of the static or dynamic movements associated with the objects. According to an exemplary embodiment, trajectory interaction features (TIFs) are extracted from the trajectory representations and heuristics are applied to the TIFs to determine if an interaction event has occurred, such as a potential illegal drug deal involving two or more pedestrians.

System for transmission and digitization of machine telemetry

A system for digitizing gauges, lights and other human-readable machine gauges and functions and status without interfering with the operation of the machine or requiring re-working or interfering with the existing machine wiring, signaling, electrical or mechanical elements or operating modes, or adding new digitizing equipment to the machine.

Method, apparatus, device and system for processing commodity identification and storage medium

The present application provides a method, an apparatus, a device and a system for processing commodity identification and a storage medium, where the method includes: receiving image information transmitted by a camera apparatus and a distance signal transmitted by a distance sensor corresponding to the camera apparatus; determining a start frame and an end frame for a pickup behavior of a user according to the image information and the distance signal; and determining, according to the start frame and the end frame for the pickup behavior of the user, information of a commodity taken by the user. By performing a commodity identification on the start frame and the end frame for the pickup behavior of the user, and determining the information of the commodity taken by the user, commodity identification efficiency is effectively improved.

Information processing device, terminal device, information processing method, information output method, customer service assistance method, and recording medium

An information processing device ( 210 ) comprises the following: an acquisition unit ( 211 ) for acquiring first information indicating a position; an identification unit ( 212 ) for identifying a target present within a prescribed range from the position, using the first information acquired by the acquisition unit ( 211 ); a generation unit ( 213 ) for generating second information relating to the target identified by the identification unit ( 212 ), using third information indicating the movement history of the target; and an output unit ( 214 ) for outputting the second information generated by the generation unit ( 213 ).

Image processing device, image processing method, and recording medium

A state of a display rack is determined more accurately. An image processing device includes a detection unit configured to detect a change area related to a display rack from a captured image in which an image of the display rack is captured, and a classification unit configured to classify a change related to the display rack in the change area, based on a previously learned model of the change related to the display rack or distance information indicating an image captured before an image capturing time of the captured image.

Security system, security method, and non-transitory computer readable medium

A security system (10) includes an image information acquisition unit (11) that acquires input image information on an image taken of a person in a store, a tracking unit (12) that tracks an action of a hand of the person based on the input image information, and a suspicious action detection unit (13) that detects a suspicious action of the person based on the tracked action of the hand. A security system, a security method, and a security program capable of accurately detecting a suspicious action are thereby provided.

Alert volume normalization in a video surveillance system

Techniques are disclosed for normalizing and publishing alerts using a behavioral recognition-based video surveillance system configured with an alert normalization module. Certain embodiments allow a user of the behavioral recognition system to provide the normalization module with a set of relative weights for alert types and a maximum publication value. Using these values, the normalization module evaluates an alert and determines whether its rareness value exceed a threshold. Upon determining that the alert exceeds the threshold, the module normalizes and publishes the alert.

Virtual mask for use in autotracking video camera images

A surveillance camera system includes a camera that acquires images and that has an adjustable field of view. A processing device is operably coupled to the camera. The processing device allows a user to define a virtual mask within the acquired images. The processing device also tracks a moving object of interest in the acquired images with a reduced level of regard for areas of the acquired images that are within the virtual mask.

Method and apparatus for using a regionally specific spectral model to identify the spectral bands for use for isolating remotely sensed materials of interest

A system and method for collecting spectral data of a region of interest with a sensor is described. In one embodiment, the method comprises generating a simulated spectral representation of a region of interest, identifying at least one of the plurality of materials as a material of interest within the region of interest, identifying other of the plurality of materials not identified as a material of interest as background materials within the region of interest, selecting a subset spectral portion of the spectral data according to the simulated spectral representation of the material of interest and the simulated spectral representation of the background materials within the region of interest, and configuring the sensor to collect a subset spectral portion of the spectral data.

Methods and systems of a multistage object detection and tracking checkout system

A system for multistage object detection and tracking for realizing a cashierless checkout includes a mobile device. The mobile device includes a set of on-board sensors together installed to the shopping container. The on-board sensors could include multiple digital cameras viewing interior of the shopping container from different angles and positions. The on-board sensors detect and provide user activity data with respect to placement or removal of the items into or from the shopping container. The digital camera obtains a set of digital image frames associated with the unique signatures associated with various shopping items entering and leaving the interior region of the shopping container and communicates them to a mobile device comprising an on-device machine learning (ML) detection and tracking engine; and relay them to subsequent stages for improved accuracy and confidence to arrive at a go/no-go decision.

Endoscope device, endoscope operation method, and program

There is provided an endoscope device, an endoscope operation method, and a program which can allow the operator to simply perform operations using mechanisms and buttons of an operation unit already provided, without confusing the assigned operations. An endoscope device (10) includes a motion pattern identification unit (103) that identifies a single or plurality of motion patterns indicating a specific movement of a scope head of a scope unit; an operation storage unit (101) that stores a single or plurality of pieces of operation information for instructing an operation of the endoscope device, and the single or plurality of motion patterns of the scope head in association with each other; an operation information acquisition unit (105) that acquires the operation information corresponding to the motion pattern from the operation storage unit on the basis of the motion pattern identified by the motion pattern identification unit; and an operation execution unit (107) that executes an operation corresponding to the operation information acquired by the operation information acquisition unit.

Method and system for identifying a liquid product in luggage or other receptacle

A method, an apparatus and a system are provided for determining if a piece of luggage contains a liquid product comprised of a container holding a body of liquid. The piece of luggage is scanned with an X-ray scanner to generate X-ray image data conveying an image of the piece of luggage and contents thereof. The X-ray image data is processed with a computer to detect a liquid product signature in the X-ray image data and determine if a liquid product is present in the piece of luggage. A detection signal is released at an output of the computer conveying whether a liquid product was identified in the piece of luggage. The detection signal may, for example, be used in rendering a visual representation of the piece of luggage on a display device to convey information to an operator as to the presence of a liquid product in the piece of luggage.

Periphery surveillance apparatus and program

A periphery surveillance apparatus includes: a storage section storing captured image data from a capturing section capturing an image of a region including a road surface and a region upward therefrom, in a traveling direction of a vehicle; a display section selectively displaying at least one of past and present images, the past image based on captured image data corresponding to a current underfloor area among captured image data stored in the storage section, and the present image based on new captured image data captured and output by the capturing section; and a control section performing switching to the past image when a permission condition for permitting display of the past image is established during displaying the present image and performing switching to the present image when a recovery condition for performing recovery to the present image is established during displaying the past image.

Automated training data collection for object detection

A method, system, and computer program product for automated collection of training data and training object detection models is provided. The method generates a set of reference images for a first set of products. Based on the set of reference images, the method identifies a subset of products within an image stream. Based on the subset of products, a second set of products is determined within the image stream. The method identifies a set of product gaps based on the subset of products and the second set of products. The method generates a product detection model based on the set of reference images, the subset of products, the second set of products, and the product gaps.

Device and Method for Imaging Structures Positioned Behind or Within a Surface

The present invention relates to a surface scanning and imaging device. The surface scanning and imaging device is designed for viewing through walls, ceilings, and other surfaces in a building to view structural components by positioning the device in proximity to the desired surface. The device includes one or more sensors for transmitting surface penetrating signals, a transceiver for receiving signals reflected from one or more structures positioned behind the surface, and an image processor to process the received signals to create a 2D or 3D image of the structural component that reflected the transmitted signals. The device displays the image of the structural component located behind the surface, allowing a user to determine where a repair or modification can be made. The structural components can be one or more of wires, circuits, studs, pipes, taps and other construction components.

Property monitoring and management using a drone

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for property management and monitoring using a drone. In some implementations, images of an outside area corresponding to a property are obtained. From the images, it is determined that a person is approaching the property. A state of the property is identified. An action to perform by a drone is determined based on the images and a state of the property. The drone is instructed to navigate to the person and perform the action.

Shopping Facility Assistance System and Method to Retrieve In-Store Abandoned Mobile Item Containers

A central computer system identifies a mobile item container in a retail shopping facility as being abandoned. The central computer system then directs a motorized transport unit through the retail shopping facility to the abandoned mobile item container and causes that motorized transport unit to physically attach to the abandoned mobile item container. The central computer system then directs that motorized transport unit through the retail shopping facility with the attached abandoned mobile item container to a specified destination within the retail shopping facility. Abandonment can be determined as a function, at least in part, of determining that the mobile item container is both stationary and unattended for at least a predetermined amount of time. By one approach the central computer system can use different predetermined amounts of time when assessing abandonment depending upon where in the retail shopping facility the mobile item containers are located.

Material classification using brdf slices

Material classification using illumination by spectral light from multiple different incident angles, coupled with measurement of light reflected from the illuminated object of unknown material, wherein the incident angle and/or spectral content of each light source is selected based on a mathematical clustering analysis of training data, so as to select a subset of only a few light sources from a superset of many light sources.

Method and system for encrypting and decrypting a facial segment in an image

This disclosure relates to method and system for encrypting and decrypting a facial segment in an image with a unique server key. The method includes receiving an image from one of a plurality of users. The image includes a plurality of facial segments. The method further includes, for each facial segment from the plurality of facial segments, identifying a unique user associated with the facial segment using a facial recognition algorithm, encrypting the facial segment with a unique server key, generating a protection frame, unlockable with the unique server key, to cover the facial segment, and decrypting the facial segment while rendering the image for at least one of the plurality of users upon receiving the unique server key from the at least one of the plurality of users.

System and method of personalized navigation inside a business enterprise

Systems and methods for tracking movement of individuals through a building receive, by one or more RF nodes disposed near an entrance to the building, RF signals from RF-transmitting mobile devices carried by persons near the entrance, capture an image of the persons while they are near the entrance, determine an identity and relative distance of each RF-transmitting mobile device from each RF node based on information associated with the RF signals received by that RF node, detect humans in the image, determine a relative depth of each human in the image, and assign the identity of each RF-transmitting mobile device to one of the humans detected in the image based on the relative distance of each RF-transmitting mobile device from each RF node and the relative depth of each human in the image, thereby identifying each individual who to be tracked optically as that individual moves throughout the building.

Method of human body recognition and human body recognition sensor

The invention relates to a method of human body recognition by analysing a detected object (P) in a monitored area and deciding whether or not the detected object is a human being with a laser scanner ( 12 ) comprising: the laser scanner ( 12 ) generates at least one laser curtain ( 22, 32, 34 ), where each laser curtain ( 22, 32, 34 ) is generated by multiple pulses evaluated by time of flight (TOF) measurement of single pulses to generate the distance of the points of reflection with respect to the laser scanner position; combination of distances of the points of reflection with the direction of the pulse to retrieve a position in a predefined detection zone within a monitored area; projecting the points of reflection belonging to a detected object into an evaluation plane (EP) as evaluation objects (O 1, O 2 ), where the evaluation plane (EP) has a Z-axis that is related to the height and a perpendicular one to the Z-axis that is related to the width in the direction of the lateral extension of the laser curtain ( 22, 32, 34 ). The invention is characterized in that the evaluation plane (EP) is evaluated based on the density distribution of the points of reflection along the Z-axis and the evaluation result is compared to anthropometric parameters.

Method and System for Cluster-Based Video Monitoring and Event Categorization

A computing system obtains a respective motion vector for each of a series of motion event candidates in real-time as said each motion event candidate is detected in a live video stream. In response to receiving the respective motion vector for each of the series of motion event candidates, the computing system determines a spatial relationship between the respective motion vector of said each motion event candidate to one or more existing clusters established based on a plurality of previously processed motion vectors, and in accordance with a determination that the respective motion vector of a first motion event candidate of the series of motion event candidates falls within a respective range of at least a first existing cluster of the one or more existing clusters, assigns the first motion event candidate to at least a first event category associated with the first existing cluster.

Systems and methods for mapping an environment

A method for mapping an environment by an electronic device is described. The method includes obtaining a set of sensor measurements. The method also includes determining a set of voxel occupancy probability distributions respectively corresponding to a set of voxels based on the set of sensor measurements. Each of the voxel occupancy probability distributions represents a probability of occupancy of a voxel over a range of occupation densities. The range includes partial occupation densities.

Roulette wheel bias tracking

Image processing unit (3), and method (300), for detecting event data during a game round of a roulette wheel (1) via a camera (2), thereby enabling detection of a roulette wheel bias. The roulette wheel (1) comprises a ball track (11A), upon which a roulette ball (14) is brought into rotation around the roulette wheel (1), and a sloping lower ball track (11B) comprising ball deflectors (13, 15), encircling a rotor (7). The image processing unit (3) is configured for: receiving a captured image of the roulette ball (14) from the camera (2); detecting that the roulette ball (14), under influence of gravity, reaches an imaginary circle (17) encircling the ball deflectors (13, 15) of the lower ball track (11B); and determining a position where it is detected that the roulette ball (14) reaches the imaginary circle (17); and storing the determined position in a database (6).

Video processing system

A video processing system includes: an object movement information acquiring means for detecting a moving object moving in a plurality of segment regions from video data obtained by shooting a monitoring target area, and acquiring movement segment region information as object movement information, the movement segment region information representing segment regions where the detected moving object has moved; an object movement information and video data storing means for storing the object movement information in association with the video data corresponding to the object movement information; a retrieval condition inputting means for inputting a sequence of the segment regions as a retrieval condition; and a video data retrieving means for retrieving the object movement information in accordance with the retrieval condition and outputting video data stored in association with the retrieved object movement information, the object movement information being stored by the object movement information and video data storing means.

Methods and systems for fire detection

In accordance with various aspects of the present disclosure, methods and systems for fire detection are disclosed. In some embodiments, a method for fire detection includes: acquiring data related to a monitored area, wherein the data comprises image data related to the monitored area; determining, based on the acquired data, whether a first mode or a second mode is to be executed for fire detection, wherein the first mode comprises a first smoke detection, and the second mode comprises a first flame detection; and executing, by a hardware processor, at least one of the first mode or the second mode based on a result of the determination.

Methods and Devices for Cognitive-based Image Data Analytics in Real Time Comprising Saliency-based Training on Specific Objects

A real time video analytic processor that uses a trained convolutional neural network that embodies algorithms and processing architectures that process a wide variety of sensor images in a fashion that emulates how the human visual path processes and interprets image content. Spatial, temporal, and color content of images are analyzed and the salient features of the images determined. These salient features are compared to the salient features of objects of user interest in order to detect, track, classify, and characterize the activities of the objects. Objects or activities of interest are annotated in the image streams and alerts of critical events are provided to the user. Instantiation of the cognitive processing can be accomplished on multi-FPGA and multi-GPU processing hardware.

Object tracking device and object tracking method

A congestion degree estimating unit ( 12 ) which estimates, for each image frame, a congestion degree of an area in which each object detected by an object detecting unit ( 11 ) is present is provided. An object selecting unit ( 13 ) refers to an estimation result of the congestion degree by the congestion degree estimating unit ( 12 ) for each image frame, and selects an object present in an area the congestion degree of which is equal to or lower than a first threshold out of one or more objects detected by the object detecting unit ( 11 ).

Intraoperative surgical event summary

Systems and methods for generating decision support data for surgical videos are disclosed, the system may include at least on processor configured to implement a method. The method may include receiving video footage of a surgical procedure performed by a surgeon on a patient in an operating room and implementing a model on the received video footage to determine an existence of a surgical decision-making junction. The model may be trained to detect decision-making junctions using training data based on historical video footage depicting surgical situations. The method may include accessing, in a data structure, a correlation between an outcome and a specific action taken at the decision-making junction, and, based on the existence of the decision-making junction and the correlation, outputting a recommendation to at least one of a user device or a user interface related to the specific action.

Systems and methods for vehicle wireless charging

Method and apparatus are disclosed for preventing damage to an object within a charging field of a wireless vehicle battery charger. An example vehicle includes a wireless vehicle battery charger having a charging field, a plurality of Bluetooth antennas, and a processor. The processor is configured to identify a location of an object using one or more of the plurality of Bluetooth antennas, and, responsive to determining that the object is within the charging field, disable the wireless vehicle battery charger.

Remote state following device

A system and method for a remote state following device that includes an electronic device with a controllable operating state; an imaging device; and control system that when targeted at a control interface interprets a visual state from the control interface, and modifies the operating state in coordination with the visual state.

Commodity recognition apparatus and commodity recognition method

The commodity recognition apparatus displays a frame for surrounding a commodity in an image captured by an image capturing module. Then the commodity recognition apparatus recognizes a candidate of the commodity imaged in the frame according to the feature amount of the image in the area surrounded by the frame, and outputs information of a highest ranked candidate commodity. If a change instruction for the candidate is received, the commodity recognition apparatus outputs information of the commodity other than the highest ranked candidate selected from the candidates.

Video identification and analytical recognition system

An analytical recognition system includes a video camera, an antenna, and a data analytics module. The video camera is configured to capture video data. The antenna is configured to capture mobile communication device data. The data analytics module is configured to correlate the video data and the mobile communication device data to generate a profile of a person associated with the video data and the mobile communication device data. The profile has profile data including any one or a combination of the captured video data and the captured mobile communication data.

Method and system for door status detection and alert generation

Disclosed are methods and systems such as an imaging assembly that may include a variety of components, such as, but not limited to, a two-dimensional (2D) camera configured to capture 2D image data, a three-dimensional camera configured to capture three-dimensional (3D) image data, and an evaluation module executing on one or more processors. The 2D camera may be oriented in a direction to capture 2D image data of a first field of view of a container loading area, and the 3D camera may be oriented in a direction to capture 3D image data of a second field of view of the container loading area at least partially overlapping with the first field of view. The evaluation module may be configured to detect a status event in the container loading area based on 2D image data.

Smart unmanned aerial vehicle for home

The present invention discloses a smart unmanned aerial vehicle for home which includes a route reconnaissance module to respond to reconnaissance instructions which instruct the unmanned aerial vehicle to patrol a house according to a preset flight route; a feature recognition module to recognize family members and different reactions of the family members toward the unmanned aerial vehicle for generating and recording an instruction set for different family members; a control module to generate reconnaissance instructions according to external reconnaissance control signals, wherein when exception occurs, warning signals are generated; the control module interrupts a patrol according to an external patrol interruption signal or when the feature recognition module recognizes the family members; the control module responds or waits for a response to the control signals for actions of the feature recognition module. The present invention is customized for family members, which is able to monitor and etc.

Calculation device, information processing method, and storage medium

A calculation device includes: an image input unit that receives, as an input, an image acquired by an image acquisition device that photographs a prescribed area; a visibility evaluation unit that calculates an evaluation value showing the visibility of a detection object in the image, on the basis of the contrast of the image and noise information showing the degree of noise included in the image; a calculation unit that calculates a maximum visually recognizable distance, which is the maximum distance from the image acquisition device to the detection object at which the detection object is visually recognized in the image, based on the evaluation value, a value set as the actual size of the detection object in the image, and the image angle of the image acquisition device; and an output unit that generates and outputs output information based on the maximum visually recognizable distance.

Information processing apparatus, information processing method, and program

There is provided an information processing apparatus including an image acquiring unit configured to acquire at least one captured image; and an associating unit configured to associate a first information corresponding to a first object and a second information corresponding to a second object, wherein the acquired at least one captured image comprises at least one selectable object depicted therewithin, and at least one of the first object and the second object corresponds to a respective one or ones of the at least one selectable object.

Traffic condition prediction system and traffic condition prediction method

A traffic condition prediction system and a traffic condition prediction method are disclosed. The method includes: determining a center of circle in a surveillance image of a target traffic scene; determining a first circle based on the center of circle and a first radius; extracting a plurality of first feature points along the circumference of the first circle according to a first preset sampling frequency; generating a scene feature of the target traffic scene at least based on the first feature points; determining whether the scene feature and a scene feature of another traffic scene are similar; and when determining that they are similar, predicting traffic condition of the target traffic scene through a prediction model used for predicting traffic condition of the other traffic scene. The scene feature of the target traffic scene and that of the other traffic scene are generated in a same way.

Systems And Methods for Detecting Vehicle Attributes

Described in detail herein are methods and systems for detecting attributes of vehicles using an images captured by an image capturing device disposed at a facility. The system detects attributes of the vehicles from the image, retrieves information associated with each vehicle based on the attributes and generates a score for each vehicle based on the information associated with each vehicle. Based on the score a distribution of physical objects is triggered to the facility.

Physical activity and it alert correlation

A computer implemented method of correlating between detected access events to access client terminals in a monitored location and physical activity of people in the monitored location, comprising detecting one or more access events to access one or more of a plurality of client terminals located in a monitored location and operatively connected to a first network, obtaining sensory activity data from one or more activity detectors deployed in the monitored location to capture physical activity of people in the monitored location wherein the activity detector(s) are operatively connected to a second interconnection isolated from the first network, analyzing the sensory activity data to identify a spatiotemporal activity pattern of one or more persons in the monitored location, correlating between the access event(s) and the spatiotemporal activity pattern(s) to validate the access event(s) and initiating one or more actions according to the validation.

Multiple View and Multiple Object Processing in Wide-Angle Video Camera

Methods and systems of transmitting a plurality of views from a video camera are disclosed. A multi object processing camera captures a wide-angle field of view in high resolution and a processing circuit executes a plurality of software tasks on a plurality of regions extracted from the wide-angle view. Multiple objects can be processed by the camera to detect various events, and the results of the processing transmitted to a base station. The camera removes the need for mechanical pan, tilt, and zoom apparatus by correcting distortions in the electronic image introduced by the wide-angle optical system and image sensor to electronically emulate the pan, tilt, and zoom movement.

Method and system for processing image data

Provided are a method and system for processing image data, the method comprising: capturing raw image data of multiple images of one or more scenes under one or more lighting conditions; machine vision processing the raw image data to generate machine vision data; classifying the machine vision data according to a type of the machine vision data; and storing the classified machine vision data in a multi-tiered data structure according to the machine vision data type, configured to enable each of the tiers of data to be processed independently of each other.

Updating online store inventory based on physical store inventory

A system for identifying products and tracking inventory in a retail store based on analysis of image data is provided. The system may comprise at least one processor configured to receive image data from a plurality of image sensors mounted in a retail store; analyze the image data to estimate a current inventory of at least one product type in the retail store; receive product supply information associated with the at least one product type in the retail store; determine that an online order from a virtual store made during a first time period will be fulfilled by an employee of the retail store during a second time period; determine a predicted inventory of the at least one product type during the second time period; and provide information to the virtual store regarding the predicted inventory of the at least one product type during the second time period.

Image-processing method for removing light zones

An image-processing method for filtering light pollution appearing in a video image stream acquired by a video camera. The method includes, for a current image of the video image stream, the steps of subtracting the background represented in the current image in order to obtain the foreground of the current image, determining a brightening matrix, determining a compensating matrix by restricting the values of the pixels of the determined brightening matrix, segmenting the determined brightening matrix, determining a mask from the segmented brightening matrix, applying the mask to the determined compensating matrix in order to obtain a filtering matrix, and filtering the foreground of the current image by applying the filtering matrix in order to decrease the zones of light pollution in the images of the image stream.

Information processing apparatus and method, and program

An information processing apparatus includes an entry and leaving management unit configured to analyze a captured image and detect vehicle information included in the captured image, and in a case where there is reservation information of parking corresponding to the detected vehicle information, open a gate of a parking lot corresponding to the reservation information.

Systems, methods and devices for monitoring betting activities

System, processes and devices for monitoring betting activities using bet recognition devices and a server. Each bet recognition device has an imaging component for capturing image data for a gaming table surface. The bet recognition device receives calibration data for calibrating the bet recognition device. A server processor coupled to a data store processes the image data received from the bet recognition devices over the network to detect, for each betting area, a number of chips and a final bet value for the chips.

Monitoring method for goods shelf, monitoring system for goods shelf and goods shelf

A monitoring method for a goods shelf, a monitoring system for a goods shelf and a goods shelf are disclosed. The monitoring system for the goods shelf includes an image acquisition device and a controller. The image acquisition device includes a camera that is moveable along the goods shelf, and is configured to acquire an image of commodities on the goods shelf by the camera, and to send the image of the commodities to the controller; the controller is configured to recognize the image, which is acquired by the camera, of the commodities, so as to determine whether or not at least one of a group consisting of commodity shortage and commodity misplacement exists.

Apparatus for Automated Monitoring of Facial Images and a Process Therefor

Provided herein is an apparatus for automated monitoring of facial images. The apparatus includes a cabinet having at least one video capturing device for continuously capturing video. The apparatus also includes means for analyzing frames to identify human facial images and for cropping facial images with data and time information, if detected, and at least one means for instantaneously transmitting the cropped facial images with date and time to at least one predefined storage unit operating in an unattended mode. The predefined storage unit is operatively connected to the cabinet. The apparatus can be configured for headless startup by means of an in built application software. A process for automated monitoring of facial images for surveillance purposes in a monitoring apparatus is also provided.

Processing container images and identifiers using optical character recognition and geolocation

Embodiments include a system configured to process location information for objects in a site comprising an imaging device configured to take a picture of an object, the picture containing a unique identifier of the object; a global positioning system (GPS) component associated with the imaging device and configured to tag the image of the object with GPS location information of the object to generate a tagged image; a communications interface configured to transmit the tagged image to a server computer remote from the imaging device over an Internet Protocol (IP) network; and a processor of the server configured to perform Optical Character Recognition (OCR) on the picture and to create an indicator code corresponding to the identifier of the object, wherein the processor is further configured to create a processed result containing the indicator code and the location to locate the object within the site.

Information output device, camera, information output system, information output method, and program

As information output device includes: a first output unit that outputs acquired information acquired by a sensor; and a second output unit that converts personal information included in the acquired information into attribute information from which identification of an individual is impossible, and outputs the attribute information.