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http://dx.doi.org/10.3745/KTCCS.2021.10.1.7

Hole Identification Method Based on Template Matching for the Ear-Pins Insertion Automation System  

Baek, Jonghwan (한국로봇융합연구원 인터랙티브연구본부)
Lee, Jaeyoul (한국로봇융합연구원 인터랙티브연구본부)
Jung, Myungsoo (한국로봇융합연구원 인터랙티브연구본부)
Jang, Minwoo (한국로봇융합연구원 인터랙티브연구본부)
Shin, Dongho (한국로봇융합연구원 인터랙티브연구본부)
Seo, Kapho (한국로봇융합연구원 인터랙티브연구본부)
Hong, Sungho (한국로봇융합연구원 인터랙티브연구본부)
Publication Information
KIPS Transactions on Computer and Communication Systems / v.10, no.1, 2021 , pp. 7-14 More about this Journal
Abstract
In jewelry industry, the proportion of labor costs is high. Also, the production time and quality of products are highly varied depending on the workers' capabilities. Therefore, there is a demand from the jewelry industry for automation. The ear pin insertion automation system is the robot automatically inserts the ear pins into the silicone mold, and this automated system require accurate and fast hole detection method. In this paper, we propose optimal binarization method and a template matching method that can be applied in the ear pin insertion automation system. Through the performance test, it was shown that the applied method has an accuracy of 98.5% and 0.5 seconds faster processing speed than the Otsu binarization method. So, this automation system can contribute to cost reduction, work time reduction, and productivity improvement.
Keywords
Vision Based System; Automation System; Industrial Automation; Automation Robot;
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1 J. Y. Koh, O. S. Song, J. H. Ryu, and S. H. Shin, "Jewelry design automization using a 3D CAD," Journal of Korea Academia-Industrial cooperation Society, Vol.2, No.2, pp.95-99, 2001.
2 S. H. Shin and W. T. Oh, "Development of the design data system of jewelry design industrial," The Korean Society of Science & Art, Vol.9, No.9, pp.151-160, 2011.   DOI
3 S. Choi, E. O. Do, Y. W. Huang, and S. C. Park, "A study on fabrication of traditional metal craft techniques using 3D CAD," Journal of Digital Convergence, Vol.18, No.3, pp.349-355, 2020.   DOI
4 J. S. Kang, "2019 Korea Jewelery Industry Strategy Forum Proposes Strategy for the Next 10 Years," . (2019. 11. 27). http://www.fashionbiz.co.kr/TN/view.asp?idx=175396
5 D. W. Kim, "[Why T] Why is China focusing on factory automation during the Corona 19 crisis?," . (2020. 03. 27). http://www.hellot.net/new_hellot/magazine/magazine_read.html?code=201&sub=001&idx=51414&list=thum
6 D. B. Lenat, "Programming articitical interlligence," in Understanding Artificial Intelligence, Scientific American, Ed., New York: Warner Books Inc., pp.23-29, 2002.
7 A. Stoffel, D. Spretke, H. Kinnemann, and D. A. Keim, "Enhancing document structure analysis using visual analytics," in Proceedings of the ACM Symposium on Applied Computing, Sierre, pp.8-12, 2010.
8 P. Sangwook and K. Bong Soon, "Optimized hardware implementation of HSV algorithm for color correction," Journal of IKEEE, Vol.24, No.1, pp.243-247, 2020.
9 P. Matti and J. Sauvola, "Adaptive document image binarization," Pattern Recognition, Vol.33, No.2, pp.225-236, 2000.   DOI
10 Y. Liu and N. S. Sargur, "Document image binarization based on texture features," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.19, No.5, pp.540-544, 1997.   DOI
11 M. S. Pak, J. H. Park, and S. H. Kim, "The implementation of defect detector using efficient thresholding method," Computer Science and its Applications, Springer, Berlin, Heidelberg, pp.1085-1091, 2015.
12 S. H. Kwon, "Advanced image quality index-based binalization of gray images," Journal of The Korean Institute of Intelligent Systems, Vol.30, No.3, pp.236-241, 2020.   DOI
13 R. Brunelli, "Template matching techniques in computer vision: Theory and practice," John Wiley & Sons, pp.43-71, 2009.
14 K. Do Hyeon, K. Dong Koo and C. Eui Young, "Image and voice processing: Adaptive image labeling algorithm using non - recursive flood - fill algorithm," The KIPS Transactions : Part B, Vol.9, No.3, pp.337-342, 2002.
15 S. H. Kim and J. S. Kim, "Three-level color clustering algorithm for binarizing scene text images," The KIPS Transactions : Part B, Vol.12, No.7, pp.1-8, 2005.