Research on foreign body detection in transmission lines based on a multi-UAV cooperative system and YOLOv7
The unique plateau geographical features and variable weather of Yunnan, China make transmission lines in this region more susceptible to coverage and damage by various foreign bodies compared to flat areas. The mountainous terrain also presents great challenges for inspecting and removing such obje...
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| Format: | Article |
| Language: | English |
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Samara National Research University
2023-10-01
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| Series: | Компьютерная оптика |
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| Online Access: | https://www.computeroptics.ru/eng/KO/Annot/KO47-5/470513e.html |
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| author | R. Chang Z.X. Mao J. Hu H.C. Bai C.J. Zhou Y. Yang S. Gao |
| author_facet | R. Chang Z.X. Mao J. Hu H.C. Bai C.J. Zhou Y. Yang S. Gao |
| author_sort | R. Chang |
| collection | DOAJ |
| description | The unique plateau geographical features and variable weather of Yunnan, China make transmission lines in this region more susceptible to coverage and damage by various foreign bodies compared to flat areas. The mountainous terrain also presents great challenges for inspecting and removing such objects. In order to improve the efficiency and detection accuracy of foreign body inspection of transmission lines, we propose a multi-UAV collaborative system specifically designed for the geographical characteristics of Yunnan's transmission lines in this paper. Additionally, the image data of foreign bodies was augmented, and the YOLOv7 target detection model, which offers a more balanced trade-off between precision and speed, was adopted to improve the accuracy and speed of foreign body detection. |
| format | Article |
| id | doaj-art-820909a71db44835a8486ee38c4632e7 |
| institution | Kabale University |
| issn | 0134-2452 2412-6179 |
| language | English |
| publishDate | 2023-10-01 |
| publisher | Samara National Research University |
| record_format | Article |
| series | Компьютерная оптика |
| spelling | doaj-art-820909a71db44835a8486ee38c4632e72025-01-23T05:41:31ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792023-10-0147578879410.18287/2412-6179-CO-1257Research on foreign body detection in transmission lines based on a multi-UAV cooperative system and YOLOv7R. Chang0Z.X. Mao1J. Hu2H.C. Bai3C.J. Zhou4Y. Yang5S. Gao6Yuxi Power Supply Bureau, Yunnan Power Grid CorporationInformation Center, Yunnan Power Grid Co., LTDInformation Center, Yunnan Power Grid Co., LTDNetwork and Information Center, Yunnan Normal UniversitySchool of Information Science and TechnologySchool of Information Science and TechnologyGuangzhou JianRuan Technology Co.The unique plateau geographical features and variable weather of Yunnan, China make transmission lines in this region more susceptible to coverage and damage by various foreign bodies compared to flat areas. The mountainous terrain also presents great challenges for inspecting and removing such objects. In order to improve the efficiency and detection accuracy of foreign body inspection of transmission lines, we propose a multi-UAV collaborative system specifically designed for the geographical characteristics of Yunnan's transmission lines in this paper. Additionally, the image data of foreign bodies was augmented, and the YOLOv7 target detection model, which offers a more balanced trade-off between precision and speed, was adopted to improve the accuracy and speed of foreign body detection.https://www.computeroptics.ru/eng/KO/Annot/KO47-5/470513e.htmlobject-detectionmulti-uavyolov7transmission-lines |
| spellingShingle | R. Chang Z.X. Mao J. Hu H.C. Bai C.J. Zhou Y. Yang S. Gao Research on foreign body detection in transmission lines based on a multi-UAV cooperative system and YOLOv7 Компьютерная оптика object-detection multi-uav yolov7 transmission-lines |
| title | Research on foreign body detection in transmission lines based on a multi-UAV cooperative system and YOLOv7 |
| title_full | Research on foreign body detection in transmission lines based on a multi-UAV cooperative system and YOLOv7 |
| title_fullStr | Research on foreign body detection in transmission lines based on a multi-UAV cooperative system and YOLOv7 |
| title_full_unstemmed | Research on foreign body detection in transmission lines based on a multi-UAV cooperative system and YOLOv7 |
| title_short | Research on foreign body detection in transmission lines based on a multi-UAV cooperative system and YOLOv7 |
| title_sort | research on foreign body detection in transmission lines based on a multi uav cooperative system and yolov7 |
| topic | object-detection multi-uav yolov7 transmission-lines |
| url | https://www.computeroptics.ru/eng/KO/Annot/KO47-5/470513e.html |
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