Advancements in Machine Vision for Automated Inspection of Assembly Parts: A Comprehensive Review

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 various components in diverse industries. This review paper explores the development 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 development 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.