Abstract
FPGA-based PCB Pattern Matching System, which supports a Camera Link (Medium), was used to detect PCB defect patterns. For the automation of the vision inspection of the PCB production process, the system was optimized by implementing the vision library in IP, which is used to produce high speed processing FPGA-based systems and to detect defect patterns. The implemented IPs comprised of Pattern Matching IP, VGA Control IP, Memory Control IP and Single Clock Processing MAD Pattern Matching IP. Xilinx was used to process the image transmitted in high speed from Digital Camera, Vertex-4 type FPGA chip. It allowed the processing of 2352(H) * 1728(V) *8Bit image data transmitted from the camera without the need for a separate Frame Grabber Board[5] in the FPGA. In addition, it could check the image data on a PC. For pattern matching, it abstracted a 480*480 area out of the image, transmitted the image to each IP and displayed the Pattern Matching output result on a TFT-LCD.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Jaemyung, Y., et al.: A Study on Optimal Design of Flip-chip Inosculation Equipment. Korea Society of Machine Tool Engineers (2007)
Seongbyeong, L., et al.: A Study on the Enhancement of Flip-chip Package Reliability. Korea Society of Machine Tool Engineers (2007)
Dongjung, G., et al.: Digital Image Processing using Visual C++. Sci. Tech. Media (2005)
Seongyu, H.: Image Processing Programming Visual C++. Hanbit Media Inc. (2007)
Matrox: Solios XCL Image Frame Grabber Board Manual (2006)
Xilinx: Virtex 4 XC4VLX200 Technical Reference Manual (2007)
Youngah, L.: Real-time PCB Vision Test using Pattern Matching. The Institute of Electronics Engineering of Korea Research Development Journal (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Moon, CH., Jang, HC., Jun, JK. (2010). Implementation of the PCB Pattern Matching System to Detect Defects. In: Li, K., Li, X., Ma, S., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Communications in Computer and Information Science, vol 97. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15853-7_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-15853-7_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15852-0
Online ISBN: 978-3-642-15853-7
eBook Packages: Computer ScienceComputer Science (R0)