Automated Inspection of Assembly Parts Using Machine Vision

Abstract

Automated inspection has become an essential requirement in automated manufacturing system. The advances in computer vision and image processing contributed in enhancing developing better vision-based inspection systems that enhanced the efficiency of automated manufacturing systems. In this paper, a new vision-based inspection model for automatic inspection of assembly parts is presented. The developed model can perform different inspection functions including: measurement, counting, checking the presence of part/ features, assembly direction and proper surface coating. The model receives the part images as an input and automatically generates the inspection results and the acceptance or removal of the part either for rework or rejection.