We propose a path planning method to improve the productivity of AOI (automatic optical inspection) machines in PCB (printed circuit board) assembly lines. To minimize the overall working time, the inspection clusters and visiting sequence of camera should be determined optimally considering the FOV (field-of-view) size of camera. A unified method is newly proposed to determine the inspection clusters and visiting sequence simultaneously. We apply a hybrid genetic algorithm to solve the highly complicated optimization problem. Comparative simulation results are presented to verify the usefulness of proposed method.
['Tae-Hyoung Park', 'Hwa-Jung Kim']
Path planning of automatic optical inspection machines for PCB assembly systems