Abstract
Insulators and bushings are necessary equipment in transmission lines, and their normal operation plays a key role in the safety and stability of power system. Therefore, fast and accurate positioning and identification of insulators and bushings in aerial images has become a crucial link in the inspection of power system. This paper introduces an improved YOLOv3-spp algorithm based on YOLOv3. The algorithm introduces the SPP module to increase the accuracy of location recognition. In addition, the identification accuracy of YOLOv3 and YOLOv3-spp was compared and analyzed in this paper. The experiment showed that the mAP of YOLOv3-spp was 81.4% when the training times were 10,000 times, which was 1.3 percentage points higher than that of YOLOv3. This indicates that YOLOv3-spp can locate the insulator and bushings in aerial images more accurately, which has certain engineering significance.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
