System and method for improving assembly line processes
AssigneeNanotronics Imaging, Inc.
InventorsMatthew C. Putman, Vadim Pinskiy, Eun-Sol Kim, Andrew Sundstrom
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Abstract
Aspects of the disclosed technology provide an Artificial Intelligence Process Control (AIPC) for automatically detecting errors in a manufacturing workflow of an assembly line process, and performing error mitigation through the update of instructions or guidance given to assembly operators at various stations. In some implementations, the disclosed technology utilizes one or more machine-learning models to perform error detection and/or propagate instructions/assembly modifications necessary to rectify detected errors or to improve the product of manufacture.
Claims20
A method, comprising:
- capturing, at an operator station, motion data corresponding to operator interaction with a component at the operator station;
- evaluating the motion data using a comparison model corresponding to an idealized motion profile of the operator station to identify a deviation from manufacturing instructions;
- and
- generating, based on the deviation from the manufacturing instructions, one or more new instructions to reduce the deviation.
A system, comprising:
- a processor;
- and
- a memory having programming instructions stored thereon, which, when executed by the processor, causes the system to perform operations comprising:
- capturing motion data corresponding to operator interaction with a component at an operator station;
- evaluating the motion data using a comparison model corresponding to an idealized motion profile of the operator station to identify a deviation from manufacturing instructions;
- and
- generating, based on the deviation from the manufacturing instructions, one or more new instructions to reduce the deviation.
A non-transitory computer-readable storage medium comprising executable instructions that, when executed by one or more processors of a computer system, cause the computer system to perform operations comprising:
- capturing, at an operator station, motion data corresponding to operator interaction with a component at the operator station;
- evaluating the motion data using a comparison model corresponding to an idealized motion profile of the operator station to identify a deviation from manufacturing instructions;
- and
- generating, based on the deviation from the manufacturing instructions, one or more new instructions to reduce the deviation.
Dependencies are inferred from the claim text.