Recognition of insulator based on yolov5 algorithm
Feng H(冯晗)1,2; Jiang Y(姜勇)1,2
2021
会议日期July 27-31, 2021
会议地点Jiaxing, China
页码505-509
英文摘要The pollution flashover accident of insulator strings in substation is the main threat to the safety of power systems, water washing operations on the surface of insulator strings can effectively eliminate this risk, and use intelligent robots to perform water washing tasks instead of manual labor is gradually becoming mainstream. In order to accomplish water washing task, the robot needs to find out the position of the insulator string by using vision sensors. In this paper, we build an insulator strings dataset with 150 images, train and compare the performance differences of four models of Yolov5 for insulator strings detection. Experiments show that when performing the insulator string detection, the difference of detection precision between the four Yolov5 models is small, Yolov5x having 0.02 higher precision than Yolov5s. While the difference in inference speed is large, with Yolov5s being 5 times faster than Yolov5x and can reach 43 FPS on GTX1060. © 2021 IEEE.
源文献作者IEEE Robotics and Automation Society ; Shenyang Institute of Automation CAS ; Shenzhen Academy of Robotics
产权排序1
会议录2021 IEEE 11th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2021
会议录出版者IEEE
会议录出版地New York
语种英语
ISSN号2642-6633
ISBN号978-1-6654-2527-8
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/29936]  
专题工艺装备与智能机器人研究室
通讯作者Jiang Y(姜勇)
作者单位1.Institute for Robotics and Intelligent Manufacturing, Shenyang 110169, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式
GB/T 7714
Feng H,Jiang Y. Recognition of insulator based on yolov5 algorithm[C]. 见:. Jiaxing, China. July 27-31, 2021.
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