03-02-2022 дата публикации
Номер: US20220032397A1
Принадлежит:
Systems and methods for missing weld identification using machine learning techniques are described. In some examples, a part tracking system uses machine learning techniques to identify whether an operator has missed one or more welds when assembling a part. The part tracking system may additionally identify which specific welds were missed (e.g., the first weld, the third weld, the fifteenth weld, etc.). The part tracking system may be able to identify missing welds after a part has been completed, or in real-time, during assembly of the part. Identification of the particular weld(s) missed during the welding process can help an operator quickly assess and resolve any issues with the part being assembled, saving time and ensuring quality 1. A system , comprising:processing circuitry; and identify an initial weld of a part assembly process,', 'access one or more first feature characteristics of the initial weld,', 'access a typical part model representative of a part produced by the part assembly process with all required welds,', 'determine whether the part includes an initial required weld based on a comparison of at least some of the first feature characteristics of the initial weld with at least some first typical feature characteristics associated with an initial typical weld of the typical part model, and', 'in response to determining that the part does not include the initial required weld, output a notification., 'memory circuitry comprising computer readable instructions which, when executed, cause the processing circuitry to2. The system of claim 1 , wherein one or more machine learning techniques are used to determine whether the part includes the initial required weld.3. The system of claim 1 , wherein the memory circuitry further comprises computer readable instructions which claim 1 , when executed claim 1 , cause the processing circuitry to:in response to determining that the part does not include the initial required weld, disable one or more pieces ...
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