DocumentCode
2943353
Title
Real-time FPGA-based template matching module for visual inspection application
Author
Chen, Jiun-Yan ; Hung, Kuo-Feng ; Lin, Hsin-Yi ; Chang, Yen-Chung ; Hwang, Yin-Tsung ; Yu, Ciao-Kai ; Hong, Cheng-Ru ; Wu, Chin-Chia ; Chang, Yung-Jung
Author_Institution
Ind. Technol. Res. Inst., Hsinchu, Taiwan
fYear
2012
fDate
11-14 July 2012
Firstpage
1072
Lastpage
1076
Abstract
Template matching enables localization of objects under inspection, but suffers from long computation due to high computation complexity. In this work, a real-time FPGA-based template matching module which accelerates time consuming normalized cross-correlation (NCC) template matching was presented. To improve NCC computation speed, we simplified the original NCC algorithm and designed a pipelined parallel processing circuit architecture. Experimental results showed that our FPGA module accelerates NCC speed up to 80 times faster than PC performance. The real-time template matching module has been integrated into an LED die inspection system to localize LED dies. This real-time template matching module can be applied to LED, PV, and semiconductor inspection and manufacturing applications. Furthermore, this module can also be applied to vision applications for either service or industrial robots.
Keywords
automatic optical inspection; field programmable gate arrays; light emitting diodes; production engineering computing; semiconductor device manufacture; LED die inspection system; automated visual inspection; computation complexity; normalized crosscorrelation template matching; object localization; pipelined parallel processing circuit architecture; realtime FPGA-based template matching module; semiconductor inspection; Computer architecture; Equations; Field programmable gate arrays; Inspection; Light emitting diodes; Random access memory; Real time systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Intelligent Mechatronics (AIM), 2012 IEEE/ASME International Conference on
Conference_Location
Kachsiung
ISSN
2159-6247
Print_ISBN
978-1-4673-2575-2
Type
conf
DOI
10.1109/AIM.2012.6265941
Filename
6265941
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