Real-time FPGA-based template matching module for visual inspection application

Autor: Yin-Tsung Hwang, Yen-Chung Chang, Cheng-Ru Hong, Hung Kuo-Feng, Yung-Jung Chang, Hsin-Yi Lin, Jiun-Yan Chen, Chin-Chia Wu, Ciao-Kai Yu
Rok vydání: 2012
Předmět:
Zdroj: 2012 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM).
Popis: 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.
Databáze: OpenAIRE