Design Of Drug And Wine Bottlecap Defect Detection System Based On Machine Vision
Defects in liquor and medicine bottlecaps are difficult to be detected by common intelligent vision inspection equipment due to their complex shapes. Manual testing is highly dependent on the subjective judgment of workers, so it is hard to guarantee the test quality. Based on machine vision recogni...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tamkang University Press
2022-09-01
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| Series: | Journal of Applied Science and Engineering |
| Subjects: | |
| Online Access: | http://jase.tku.edu.tw/articles/jase-202304-26-4-0005 |
| _version_ | 1828735327134547968 |
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| author | Qingzhi Yang Xiao Yu Qun Chen |
| author_facet | Qingzhi Yang Xiao Yu Qun Chen |
| author_sort | Qingzhi Yang |
| collection | DOAJ |
| description | Defects in liquor and medicine bottlecaps are difficult to be detected by common intelligent vision inspection equipment due to their complex shapes. Manual testing is highly dependent on the subjective judgment of workers, so it is hard to guarantee the test quality. Based on machine vision recognition, this paper construct an
online defect detection system with LED light source, industrial camera, industrial computer and PLC for drugs and liquor caps. According to the test results, the system operation is stable and reliable, achieving the design
purpose. |
| first_indexed | 2024-04-12T23:04:55Z |
| format | Article |
| id | doaj.art-9cfba128f869404a999c50c5485fb667 |
| institution | Directory Open Access Journal |
| issn | 2708-9967 2708-9975 |
| language | English |
| last_indexed | 2024-04-12T23:04:55Z |
| publishDate | 2022-09-01 |
| publisher | Tamkang University Press |
| record_format | Article |
| series | Journal of Applied Science and Engineering |
| spelling | doaj.art-9cfba128f869404a999c50c5485fb6672022-12-22T03:12:57ZengTamkang University PressJournal of Applied Science and Engineering2708-99672708-99752022-09-01264489500 10.6180/jase.202304_26(4).0005Design Of Drug And Wine Bottlecap Defect Detection System Based On Machine VisionQingzhi Yang0Xiao Yu1Qun Chen2Department of Intelligent Engineering, Bozhou Vocational and Technical College, Bozhou 236800, ChinaAnhui Lianpeng Bottle Caps Packaging Co. Ltd., Bozhou 236800, ChinaCollege of Pharmacy, Bozhou Vocational and Technical College, Bozhou 236800, ChinaDefects in liquor and medicine bottlecaps are difficult to be detected by common intelligent vision inspection equipment due to their complex shapes. Manual testing is highly dependent on the subjective judgment of workers, so it is hard to guarantee the test quality. Based on machine vision recognition, this paper construct an online defect detection system with LED light source, industrial camera, industrial computer and PLC for drugs and liquor caps. According to the test results, the system operation is stable and reliable, achieving the design purpose.http://jase.tku.edu.tw/articles/jase-202304-26-4-0005machine visiondefect detectionimage segmentationgrayscalecontour trackingedge algorithm |
| spellingShingle | Qingzhi Yang Xiao Yu Qun Chen Design Of Drug And Wine Bottlecap Defect Detection System Based On Machine Vision Journal of Applied Science and Engineering machine vision defect detection image segmentation grayscale contour tracking edge algorithm |
| title | Design Of Drug And Wine Bottlecap Defect Detection System Based On Machine Vision |
| title_full | Design Of Drug And Wine Bottlecap Defect Detection System Based On Machine Vision |
| title_fullStr | Design Of Drug And Wine Bottlecap Defect Detection System Based On Machine Vision |
| title_full_unstemmed | Design Of Drug And Wine Bottlecap Defect Detection System Based On Machine Vision |
| title_short | Design Of Drug And Wine Bottlecap Defect Detection System Based On Machine Vision |
| title_sort | design of drug and wine bottlecap defect detection system based on machine vision |
| topic | machine vision defect detection image segmentation grayscale contour tracking edge algorithm |
| url | http://jase.tku.edu.tw/articles/jase-202304-26-4-0005 |
| work_keys_str_mv | AT qingzhiyang designofdrugandwinebottlecapdefectdetectionsystembasedonmachinevision AT xiaoyu designofdrugandwinebottlecapdefectdetectionsystembasedonmachinevision AT qunchen designofdrugandwinebottlecapdefectdetectionsystembasedonmachinevision |