IEMEK Journal of Embedded Systems and Applications (대한임베디드공학회논문지)

Institute of Embedded Engineering of Korea (대한임베디드공학회)
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Multi-Vision-based Inspection of Mask Ear Loops Attachment in Mask Production Lines

마스크 생산 라인에서 다중 영상 기반 마스크 이어링 검사 방법

  • JiMyeong, Woo (Department of IT Convergence Engineering, Kumoh National Institute of Technology) ;
  • SangHyeon, Lee (Department of IT Convergence Engineering, Kumoh National Institute of Technology) ;
  • Heoncheol, Lee (Department of IT Convergence Engineering, Kumoh National Institute of Technology)
  • Received : 2022.10.14
  • Accepted : 2022.11.18
  • Published : 2022.12.31
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Abstract

This paper addresses the problem of vision-based ear loops ansd attachment inspection in mask production lines. This paper focuses on connections with ear loops and mask filter by an efficient combined approach. The proposed method used a template matching, shape detection and summation of histogram with preprocessing. We had a parameter for detecting defects heuristically. If the shape vertices are lower than the parameters our proposed method will find defective mask automatically. After finding normal masks in mask ear loops attachment status inspection algorithm our proposed method conducts attachment amount inspection. Our experimental results showed that the precision is 1 and the recall is 0.99 in the mask attachment status inspection and attachment amount inspection.

Keywords

Acknowledgement

이 연구는 2020년 국립대학 육성사업비로 지원되었음.

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