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


KIPS Transactions on Computer and Communication Systems, Vol. 10, No. 1, pp. 7-14, Jan. 2021
https://doi.org/10.3745/KTCCS.2021.10.1.7,   PDF Download:
Keywords: Vision Based System, Automation System, industrial automation, Automation Robot
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.


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Cite this article
[IEEE Style]
B. Jonghwan, L. Jaeyoul, J. Myungsoo, J. Minwoo, S. Dongho, S. Kapho, H. Sungho, "Hole Identification Method Based on Template Matching for the Ear-Pins Insertion Automation System," KIPS Transactions on Computer and Communication Systems, vol. 10, no. 1, pp. 7-14, 2021. DOI: https://doi.org/10.3745/KTCCS.2021.10.1.7.

[ACM Style]
Baek Jonghwan, Lee Jaeyoul, Jung Myungsoo, Jang Minwoo, Shin Dongho, Seo Kapho, and Hong Sungho. 2021. Hole Identification Method Based on Template Matching for the Ear-Pins Insertion Automation System. KIPS Transactions on Computer and Communication Systems, 10, 1, (2021), 7-14. DOI: https://doi.org/10.3745/KTCCS.2021.10.1.7.