{"title":"基于机器视觉的工件加工自标定策略研究","authors":"Zhenqi Wang, Dong Guo, Yongjin Wang, Chunyong Wang, Wending Wei, Runan Ding","doi":"10.1109/ICOCN53177.2021.9563710","DOIUrl":null,"url":null,"abstract":"Self-calibration processing equipment is studied through measuring the precise size of the workpiece produced in the factory assembly line based on the machine vision measurement technology. Hough circle detection algorithm and subpixel edge algorithm are adopted. After several experiments, the measuring accuracy of the device can reach 0.05mm, which meets the design requirements of measurement accuracy. The self-calibration parameters are sent to the processing equipment through the transmission layer to reduce the rejection rate and improve the enterprise benefits.","PeriodicalId":6756,"journal":{"name":"2021 19th International Conference on Optical Communications and Networks (ICOCN)","volume":"18 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Research on Self-calibration Strategy of Workpiece Processing Based on Machine Vision\",\"authors\":\"Zhenqi Wang, Dong Guo, Yongjin Wang, Chunyong Wang, Wending Wei, Runan Ding\",\"doi\":\"10.1109/ICOCN53177.2021.9563710\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Self-calibration processing equipment is studied through measuring the precise size of the workpiece produced in the factory assembly line based on the machine vision measurement technology. Hough circle detection algorithm and subpixel edge algorithm are adopted. After several experiments, the measuring accuracy of the device can reach 0.05mm, which meets the design requirements of measurement accuracy. The self-calibration parameters are sent to the processing equipment through the transmission layer to reduce the rejection rate and improve the enterprise benefits.\",\"PeriodicalId\":6756,\"journal\":{\"name\":\"2021 19th International Conference on Optical Communications and Networks (ICOCN)\",\"volume\":\"18 1\",\"pages\":\"1-3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 19th International Conference on Optical Communications and Networks (ICOCN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOCN53177.2021.9563710\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 19th International Conference on Optical Communications and Networks (ICOCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOCN53177.2021.9563710","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Self-calibration Strategy of Workpiece Processing Based on Machine Vision
Self-calibration processing equipment is studied through measuring the precise size of the workpiece produced in the factory assembly line based on the machine vision measurement technology. Hough circle detection algorithm and subpixel edge algorithm are adopted. After several experiments, the measuring accuracy of the device can reach 0.05mm, which meets the design requirements of measurement accuracy. The self-calibration parameters are sent to the processing equipment through the transmission layer to reduce the rejection rate and improve the enterprise benefits.
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