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

fYear

2005

fDate

27-30 June 2005

Firstpage

249

Lastpage

254

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence in Robotics and Automation, 2005. CIRA 2005. Proceedings. 2005 IEEE International Symposium on

Print_ISBN

0-7803-9355-4

Type

conf

DOI

10.1109/CIRA.2005.1554285

Filename

1554285