Research on foreign body identification method of transmission line based on improved Yolov5s

Daili Liang; Sen Wang; Nan Chen; Bowen Chu; Wenjing Li; Yuerou Li; Haoyu Tao; Yuhong Qin; Shibo Yu

doi:10.1117/12.2675367

25 May 2023 Research on foreign body identification method of transmission line based on improved Yolov5s

Daili Liang, Sen Wang, Nan Chen, Bowen Chu, Wenjing Li, Yuerou Li, Haoyu Tao, Yuhong Qin, Shibo Yu

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126361F (2023) https://doi.org/10.1117/12.2675367
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

Aiming at the problems of low accuracy and poor timeliness of complex background images processed by deep learning network models, this paper proposes to optimize the YOLOv5s model. The threshold function is used to denoise the image, and the original loss function GIOU_Loss is optimized into CIOU_Loss function and fine-tuned. The optimized model has good generalization ability and robustness, and the bird's nest detection as a case verifies the effectiveness of the method, which can be used for the detection and identification of foreign objects in high-voltage transmission lines.

Citation Download Citation

Daili Liang, Sen Wang, Nan Chen, Bowen Chu, Wenjing Li, Yuerou Li, Haoyu Tao, Yuhong Qin, and Shibo Yu "Research on foreign body identification method of transmission line based on improved Yolov5s", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126361F (25 May 2023); https://doi.org/10.1117/12.2675367

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