마스크 생산 라인에서 다중 영상 기반 마스크 이어링 검사 방법Multi-Vision-based Inspection of Mask Ear Loops Attachment in Mask Production Lines
- Other Titles
- Multi-Vision-based Inspection of Mask Ear Loops Attachment in Mask Production Lines
- Authors
- 우지명; 이상현; 이헌철
- Issue Date
- Dec-2022
- Publisher
- 대한임베디드공학회
- Keywords
- Multi-vision-based inspection; Image processing; Manufacturing automation
- Citation
- 대한임베디드공학회논문지, v.17, no.6, pp 337 - 346
- Pages
- 10
- Journal Title
- 대한임베디드공학회논문지
- Volume
- 17
- Number
- 6
- Start Page
- 337
- End Page
- 346
- URI
- https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/26149
- DOI
- 10.14372/IEMEK.2022.17.6.337
- ISSN
- 1975-5066
- 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.
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