Abstract
Manual assembly processes can be susceptible to error, potentially leading to incorrect component handling or procedural deviations. A system for real-time procedural verification can use computer vision to address this. An inspection node, which may comprise an imaging device (e.g., a camera) and a processing unit, can capture and analyze an operator's physical actions at a workstation. These actions may be compared against a predefined digital blueprint, such as a standard assembly model (SAM), that codifies a specified sequence of events. Upon detection of a deviation between the operator's actions and the SAM, the system can provide feedback to the operator and log the event. This approach can facilitate in-process error correction and provide data for quality analysis, which may help support process improvement.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Mao, Frank; Chan, Sun Nee; and Liu, George, "A Real-Time Computer Vision System for Procedural Verification in Manual Assembly", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/8983