Assembly Line Quality Assurance Through Hand Tracking and Object Detection
Mamuku Mokuwe, Yurisha Goorun, Gerrie Crafford · MATEC Web of Conferences · 2022
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.