Authenticating physical objects using machine learning from microscopic variations
Номер патента: EP3129896A1
Опубликовано: 15-02-2017
Автор(ы): Ashlesh Sharma, Lakshminarayanan Subramanian, Vidyuth SRINIVASAN
Принадлежит: Entrupy Inc
Опубликовано: 15-02-2017
Автор(ы): Ashlesh Sharma, Lakshminarayanan Subramanian, Vidyuth SRINIVASAN
Принадлежит: Entrupy Inc
Реферат: A method for classifying a microscopic image includes receiving a training dataset (306) including at least one microscopic image (305) from a physical object (303) and an associated class definition (304) for the image that is based on a product specification. Machine learning classifiers are trained to classify the image into classes (308). The microscopic image (305) is used as a test input for the classifiers to classify the image into one or more classes based on the product specification. The product specification includes a name of a brand, a product line, or other details on a label of the physical object.
Device and method for modeling 2-dimensional materials using machine learning
Номер патента: US20240282412A1. Автор: Kyoung Min Min,In Hyo LEE,Joon Chul KIM. Владелец: FOUNDATION OF SOONGSIL UNIVERSITY INDUSTRY COOPERATION. Дата публикации: 2024-08-22.