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Research and Development of Electrode Surface Inspection System
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 Title & Authors
Research and Development of Electrode Surface Inspection System
Oh, Choonsuk;
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In manufacturing processing of a secondary battery, the visual inspection system is studied and developed to check the surface defects of the electrode plates. It consists of two parts, one is the hardware control and the other software implementation. The former is made up to the system configuration and the design of the optical system, the illuminations and the controllers. The latter is the detection algorithms of the surface defects. This system achieves the quality improvement of the electrode process and the price competitiveness. By using the proposed defects detection algorithms this system demonstrates the high reliability of spot, line, manhole, extraneous substance, scratch, and crater defect of a electrode plate surface.
Surface Defects;Electrode Plates;Visual Inspection;
 Cited by
C. S. Oh, "3D Analysis System for Copper Palate Defect Detection", Journal of IIBC, Vol. 13, No. 1, pp. 55-62, 2013.

C. H. Han and C. S. Oh, Y. K, Ryu, and S. H. Cho, "Development of Vision system for Back Light Unit of Defect", The transactions of the Korean Institute of Electrical Engineers. D Vol. 55 no.4, pp. 161-164, 2006.

C. S. Oh and H. M. Lee, "A High-speed Automatic Precision Inspection System for Bolts Defects", Journal of KIPS, Vol. 10-B, No. 6, pp. 305-310, 2003

C. S. Oh and H. M. Lee, "Automatic Visual Inspection System Development for Tarpaulin's Pinholes Defect Detection", Journal of KIPS, Vol. 7, No. 6, pp. 1973-1979, 2000.

C. S. Oh, Y. Ryu and B. Roh, “Video Tape Recorder Head inspection using image processing techniques,” Optical Engineering, Vol. 38, No. 1, pp. 124-130, 1999. crossref(new window)

Dalsa INC., "1998-1999 Databook," 1998.

Matrox Electronic System Ltd., "Matrox Imaging Library," Manual No. 10513-MN-0600, February, 1999.

C. S. Oh and C. H. Han, Image Processing Technology and Applications, Bokdu Press, pp. 193-196, 2014.