Dynamic training for assembly lines

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 the detected errors or to improve the product of manufacture.

Description

[0001] Cross References to Related Applications [0002] This application claims priority to U.S. Patent Application Serial No. 16 / 289,422, filed February 28, 2019, the entire contents of which are incorporated herein by reference. technical field [0003] The subject technology provides improvements to pipeline workflows and, in particular, includes systems and methods for adaptively updating pipeline operator instructions based on feedback and feedforward error propagation predictions made using machine learning models. As discussed in further detail below, some aspects of the technology include systems and methods for automatically adjusting instructional videos provided at one or more operator stations based on inferences made about manufacturing or assembly variances. Background technique [0004] In traditional assembly-line workflows, detecting manufacturing errors and determining how to correct them through modifications in the downstream process requires human (oper...

AI Technical Summary

Problems solved by technology

Furthermore, there is no mechanism for learning from any mistakes, not even any active corrective action

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