Dynamic training for assembly lines
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:
- initiating a workflow in a production line, wherein the production line includes a set of operator stations in which a product is manufactured;
- generating one or more reference recordings, wherein the one or more reference recordings provide manufacturing instructions at each station of the set of operator stations for manufacture of the product;
- capturing, at an operator station of the set of operator stations, 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 the 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 plurality of recording devices disposed at a plurality of operator stations in a production line in which a product is manufactured;
- and
- an assembly instruction system coupled to the plurality of recording devices, wherein the assembly instruction system performs operations comprising:
- generating, using the plurality of recording devices, one or more reference recordings, wherein the one or more reference recordings provide manufacturing instructions at each station of the plurality of operator stations for manufacture of the product;
- capturing, at an operator station of the plurality of operator stations and using one or more recording devices of the plurality of recording devices associated with the 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 the 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, as a result of being executed by one or more processors of a computer system, cause the computer system to:
- initiate a workflow in a production line, wherein the production line includes a set of operator stations in which a product is manufactured;
- generate one or more reference recordings, wherein the one or more reference recordings provide manufacturing instructions at each station of the set of operator stations for manufacture of the product;
- capture, at an operator station of the set of operator stations and using one or more recording devices, motion data corresponding to operator interaction with a component at the operator station;
- evaluate the motion data using a comparison model corresponding to an idealized motion profile of the operator station to identify a deviation from the manufacturing instructions;
- and
- generate, based on the deviation from the manufacturing instructions, one or more new instructions to reduce the deviation.
Dependencies are inferred from the claim text.