This work presents a vision-based quality assurance system that does assembly line monitoring. The system is developed using machine learning hand tracking and object detection methods to monitor the worker’s hand movement while evaluating the correctness of the assembly. Feedback about the order of the steps the worker has taken is continuously shown to the user. This work has the potential to reduce the amount of manual work required for quality assurance in assembly line.
Reference:
Mokuwe, M.W., Goorun, Y. & Crafford, G.J. 2022. Assembly line quality assurance through hand tracking and object detection. http://hdl.handle.net/10204/12584 .
Mokuwe, M. W., Goorun, Y., & Crafford, G. J. (2022). Assembly line quality assurance through hand tracking and object detection. http://hdl.handle.net/10204/12584
Mokuwe, Mamuku W, Yurisha Goorun, and Gerhardus J Crafford. "Assembly line quality assurance through hand tracking and object detection." 23rd Annual International RAPDASA Conference joined by RobMech, PRASA and CoSAAMI, Somerset-West, Cape Town, 9-11 November 2022 (2022): http://hdl.handle.net/10204/12584
Mokuwe MW, Goorun Y, Crafford GJ, Assembly line quality assurance through hand tracking and object detection; 2022. http://hdl.handle.net/10204/12584 .
