Title :
Path planning of automatic optical inspection machines for PCB assembly systems
Author :
Park, Tae-Hyoung ; Kim, Hwa-Jung
Author_Institution :
Sch. of Electr. & Comput. Eng., Chungbuk Nat. Univ., South Korea
Abstract :
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.
Keywords :
assembling; automatic optical inspection; genetic algorithms; motion control; path planning; printed circuit manufacture; PCB assembly systems; automatic optical inspection machines; field-of-view size; hybrid genetic algorithm; inspection clusters; optimization; path planning; Assembly systems; Automatic optical inspection; Cameras; Clustering algorithms; Genetic algorithms; Image processing; Path planning; Printed circuits; Soldering; Surface-mount technology; AOI machine; PCB assembly; Path planning; genetic algorithm; optimization;
Conference_Titel :
Computational Intelligence in Robotics and Automation, 2005. CIRA 2005. Proceedings. 2005 IEEE International Symposium on
Print_ISBN :
0-7803-9355-4
DOI :
10.1109/CIRA.2005.1554285
