Zakaria Belbacha, Hamdi Ben Abdallah, Igor Jovančević, J. Orteu, L. Brethes
{"title":"基于三维视觉的机械结构缺陷检测与表征","authors":"Zakaria Belbacha, Hamdi Ben Abdallah, Igor Jovančević, J. Orteu, L. Brethes","doi":"10.1117/12.3000509","DOIUrl":null,"url":null,"abstract":"This paper deals with the detection and characterization of surface damages (a dent, a crack, etc.) on mechanical surfaces using 2D/3D vision (3D scanner and/or 2D RGB camera). The main innovative aspect lies in the exploitation of the Computer Aided Design model, when it is available, with two possible scenarios: ”manual control” via a hand-held 3D scanner carried by an operator, or ”automated control” via a 3D scanner carried by a cobot. This research work has been carried out within the joint research laboratory ”Inspection 4.0” between IMT Mines Albi/ICA and the DIOTA company, specialized in the development of numerical tools for Industry 4.0","PeriodicalId":295011,"journal":{"name":"International Conference on Quality Control by Artificial Vision","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection and characterization of defects on mechanical structures by using 3D vision\",\"authors\":\"Zakaria Belbacha, Hamdi Ben Abdallah, Igor Jovančević, J. Orteu, L. Brethes\",\"doi\":\"10.1117/12.3000509\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with the detection and characterization of surface damages (a dent, a crack, etc.) on mechanical surfaces using 2D/3D vision (3D scanner and/or 2D RGB camera). The main innovative aspect lies in the exploitation of the Computer Aided Design model, when it is available, with two possible scenarios: ”manual control” via a hand-held 3D scanner carried by an operator, or ”automated control” via a 3D scanner carried by a cobot. This research work has been carried out within the joint research laboratory ”Inspection 4.0” between IMT Mines Albi/ICA and the DIOTA company, specialized in the development of numerical tools for Industry 4.0\",\"PeriodicalId\":295011,\"journal\":{\"name\":\"International Conference on Quality Control by Artificial Vision\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Quality Control by Artificial Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.3000509\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Quality Control by Artificial Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.3000509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection and characterization of defects on mechanical structures by using 3D vision
This paper deals with the detection and characterization of surface damages (a dent, a crack, etc.) on mechanical surfaces using 2D/3D vision (3D scanner and/or 2D RGB camera). The main innovative aspect lies in the exploitation of the Computer Aided Design model, when it is available, with two possible scenarios: ”manual control” via a hand-held 3D scanner carried by an operator, or ”automated control” via a 3D scanner carried by a cobot. This research work has been carried out within the joint research laboratory ”Inspection 4.0” between IMT Mines Albi/ICA and the DIOTA company, specialized in the development of numerical tools for Industry 4.0
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
