{"title":"AI Enhanced Visual Inspection of Post-Polished Workpieces Using You Only Look Once Vision System for Intelligent Robotics Applications","authors":"R. Luo, Zheng-Lun Yu","doi":"10.1109/ARIS56205.2022.9910441","DOIUrl":null,"url":null,"abstract":"The objective of this paper is to provide a solution of automated optical inspection for post-polished workpieces using you only look once YOLOv5 vision system. It intends to assist human labor who checks workpieces with eyes in the long terms. Robots have now become an essential role in industrial applications. An example application is automating polishing tasks using robots. However, polishing still requires people to be involved in the post-processing especially in product detection. YOLOv5 can be applied in multiple scenarios because it is known for high accuracy and fast detection in real-time image detection. In this paper YOLOv5 approach have been implemented for robotic faucet surface inspection and demonstrated the success of the process.","PeriodicalId":254572,"journal":{"name":"2022 International Conference on Advanced Robotics and Intelligent Systems (ARIS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Advanced Robotics and Intelligent Systems (ARIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARIS56205.2022.9910441","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The objective of this paper is to provide a solution of automated optical inspection for post-polished workpieces using you only look once YOLOv5 vision system. It intends to assist human labor who checks workpieces with eyes in the long terms. Robots have now become an essential role in industrial applications. An example application is automating polishing tasks using robots. However, polishing still requires people to be involved in the post-processing especially in product detection. YOLOv5 can be applied in multiple scenarios because it is known for high accuracy and fast detection in real-time image detection. In this paper YOLOv5 approach have been implemented for robotic faucet surface inspection and demonstrated the success of the process.