Automated part inspection by image processing system in vehicle part manufacturing

Abstract

In automotive part manufacturing, part's qualities are main important that manufacturers have to concern during production process. The purpose of this research was to develope the automated quality inspection by applying the gray image processing system to investigate the quality of plastic injection parts in vehicle part industry in dimension measurement section which were complicated and had various geometries and to replace an operator's inspection. The results showed that automated inspection could reduce time and enhance precision of inspection process. Therefore this automated part inspection by image processing system was able to increase work's efficiency and reliability to enhance customer's satisfaction.