Combining image brightness enhancement algorithm with YOLOv5 for nest detection in power transmission lines

Ximeng Zhu; Yanghua Cai

doi:10.1117/12.3012509

21 December 2023 Combining image brightness enhancement algorithm with YOLOv5 for nest detection in power transmission lines

Ximeng Zhu, Yanghua Cai

Author Affiliations +

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129702N (2023) https://doi.org/10.1117/12.3012509
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

With the development of urban construction, the power infrastructure continues to expand and improve. Power transmission lines, in particular, are numerous and widely distributed. The maintenance, inspection, and troubleshooting of these lines are essential for the stable operation of the power grid. However, the proliferation of birds has expanded their activity range, posing a significant threat to the power system. Therefore, this paper combines an image brightness enhancement algorithm with YOLOv5 to effectively detect nest images under low-light conditions. Experimental results have demonstrated the effectiveness of the proposed algorithm in this paper.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ximeng Zhu and Yanghua Cai "Combining image brightness enhancement algorithm with YOLOv5 for nest detection in power transmission lines", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129702N (21 December 2023); https://doi.org/10.1117/12.3012509

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