https://scholars.lib.ntu.edu.tw/handle/123456789/633688
標題: | AI Enhanced Visual Inspection of Post-Polished Workpieces Using You Only Look Once Vision System for Intelligent Robotics Applications | 作者: | REN-CHYUAN LUO Yu, Zheng Lun |
公開日期: | 1-一月-2022 | 卷: | 2022-August | 來源出版物: | International Conference on Advanced Robotics and Intelligent Systems, ARIS | 摘要: | 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. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/633688 | ISBN: | 9781665487184 | ISSN: | 23743255 | DOI: | 10.1109/ARIS56205.2022.9910441 |
顯示於: | 電機工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。