Abstract
Automated inspection of assembly parts plays a vital role in ensuring product quality, reducing manufacturing costs, and enhancing production efficiency. Machine vision systems have emerged as a powerful tool for inspecting vari- ous components in diverse industries. This review paper explores the develop- ment and application of machine vision systems for automotive part inspection, with a particular focus on bearing defect inspection and engineering surface inspection. Additionally, a case study is presented, highlighting the develop- ment of a machine vision system for the inspection of attachment holes on a fuel tank. The system combines high-resolution imaging, image processing techniques, edge detection, and pattern recognition algorithms to accurately detect the position and orientation of attachment holes.
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