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http://dx.doi.org/10.13067/JKIECS.2018.13.2.435

Implementation of an FPGA-based Frame Grabber System for PCB Pattern Detection  

Moon, Cheol-Hong (Dept. of Electrical & Electronic Eng. Gwangju University)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.13, no.2, 2018 , pp. 435-442 More about this Journal
Abstract
This study implemented an FPGA-based system to extract PCB defect patterns. The FPGA-based system can perform pattern matching at high speed for vision automation. An image processing library that is used to extract defect patterns was also implemented in IPs to optimize the system. The IPs implemented are Camera Link IP, Histogram IP, VGA IP, Horizontal Projection IP and Vertical Projection IP. In terms of hardware, the FPGA chip from the Vertex-5 of Xilinx was used to receive and handle images that are sent from a digital camera. This system uses MicroBlaze CPU. The image results are sent to PC and displayed on a 7inch TFT-LCD and monitor.
Keywords
Camera Link; PCB; Horizontal Projection; Vertical Projection; FPGA;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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1 S. Hwang, Image Processing Programming Visual C++. Seoul: Hanbit Publishing Network, 2007.
2 B. Choi, J. Park, J. Song, and B. Yoon, "Object Detection and Tracking with Infrared Videos at Night-time," J. of the Korea Institute of Electronic Communication Sciences, vol. 10, no. 2, 2015, pp. 183-188.   DOI
3 S. Kim, and G. Seok, "Effective Eye Detection for Face Recognition to Protect Medical Information," J. of the Korea Institute of Electronic Communication Sciences, vol. 12, no. 5, 2017, pp. 923 - 932.   DOI
4 K. Jang and S. Kwak, "Fast Center Lane Detection Method for Vehicle Applications," J. of the Korea Institute of Electronic Communication Sciences, vol. 9, no. 6, 2014, pp. 649-656.   DOI
5 K. Jung and C. Moon, "An Impletation of FPGA-based Pattern Matching System for PCB Pattern Detection," J. of the Korea Institute of Electronic Communication Sciences, vol. 11, no. 5, 2016, pp. 465-472.   DOI
6 C. Lee, "An Embedded FPGA Implementation for a Cameralink Interface," J. of Institute of Korean Electrical and Electronics Engineers, vol. 15, no. 2, 2011, pp. 122-128.
7 PULNiX America, "Specification of the Camera Link Interface Standard for Digital Camera and Frame Grabbers," Technical Report, October 2000.
8 D. Jang, The Embedded SoC System for a Moving Object Tracking and Distance Detection. Gwangju: Gwangju University, 2008.
9 S. Kim, SoC System-based Real Time Moving Object Tracing System Implementation. Gwangju: Gwangju University, 2007.
10 D. Gang, Digital Image Processing using Visual C++. Seoul: SciTech Media, 2005.