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http://dx.doi.org/10.3745/KIPSTA.2004.11A.4.235

Development of Automatic Nut Inspection System using Image Processing  

Lee, Sang-Hak (전자부품연구원 유비쿼터스컴퓨팅연구센터, 경희대학교 대학원 컴퓨터공학과)
Seo, Myong-Ho (동원대학 디지털정보전자과)
Chung, Tae-Choong (경희대학교 컴퓨터공학과)
Publication Information
The KIPS Transactions:PartA / v.11A, no.4, 2004 , pp. 235-242 More about this Journal
Abstract
When manufacturing information and communication device that consists of lots of part, it is important to improve the quality of the produced system by inspecting the system accurately and exclude the defected part. In case of LCD which is recently in a great demand, the inspection process of the nut which bonds the back frame to protect the LCD panel has to be done by human labor. It highly required an automatic inspection system which can inspect the nut without wasting human resources. In this paper, we describe the process of developing a system which automatically inspect the status of nuts inserted during the manufacturing of LCD. The nut inspection vision system developed measures the number of nut's spiral, the distance between pitches, the width of a pitch, and the inside diameter of nut. We have adopted lens with high magnifying power and calibration tool and intended to produce automatic lighting for maintaining a stable environment for a high precision system. We also developed the algorithms for analyzing the nut. We apply the system to real factory field and verify that it is better than the man power in terms of error rate.
Keywords
Automatic Nut Inspection System; Image Processing; Factory Automation;
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  • Reference
1 Rafael C. Gonzalez, Richard E. Woods, 'Digital Image Processing,' Addison-Wesley Publishing Company, 1993
2 田村秀行, 'コソピュ一タ畵像處理(1,2,3編)', 1991
3 A. Noble and J. Mundy, 'Constraint processing applied to industrial inspection and continuous product improvement', Proc. of the Image Understanding Workshop, pp. 801-809, April, 1993
4 Marvin E. Frerking, 'Digital Signal Processing in Communication System,' Van Nostrand Reinhold, 1993
5 P.S. Moharir, 'Pattern-Recognition Transforms,' Research studies Press LTD, 1992
6 Peter. Allen, 'Robotic Object Recognition Using Vision and Touch,' Klwer Academic Publishers, 1987
7 日本工業技術센터, '컴퓨터화상처리입문', 기전연구소, 1993
8 Randy Crane, 'simplified approach to Image Processing', hewlwtt-Packard Company, 1997
9 Jean Serra, 'Image Analysis And Mathematical Morphology,' Academic Press, 1989
10 Richard j. Mammone, 'Computational Methods of Signal Recovery and Recognition,' Wiley-Interscience Publication, 1992
11 Bruce Batchelor, 'Intelligent Image Processing in Prolog', Springer-Verlag, 1990
12 A. M. Darwish and A. K. Jain, 'A rule based approach for visual pattern inspection', IEEE Trans. Pattern Anal. Machine Intell., Vol. 10, pp.56-68, 1988   DOI   ScienceOn
13 이용희, '컴퓨터 시각 검사를 위한 모델-기반 접근 방법', 서울대학교 대학원 박사학위논문, 1996
14 L. Van Gool, P. Wambacq, and A. Oosterlinck, 'Intelligent Robotic Systems,' Dekker, New York, 1991
15 B. G. Batchelor and D. W. Braggins, 'Computer Vision : Theory and Industrial Applications,' (Torras, Ed.), Springer-Verrlag, New York, 1992