Research on intelligent discrimination technology of conductor insulator damage based on UAV images

Jipu Gao; Changbao Xu; Mingyong Xin; Yu Wang

doi:10.1117/12.2684502

1 August 2023 Research on intelligent discrimination technology of conductor insulator damage based on UAV images

Jipu Gao, Changbao Xu, Mingyong Xin, Yu Wang

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 1275436 (2023) https://doi.org/10.1117/12.2684502
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

In the transmission and transformation network, line status inspection is always a key, important work items. The key object of line inspection work is mainly line status and insulator status, etc. For line inspection work with security risks and low efficiency, the insulator can be used for image acquisition by UAV and image analysis by computer. The goal of image segmentation and insulator alignment is achieved by using binarization segmentation and image transformation on the captured images from the UAV. Various operations are performed based on the geometric features and pixel distribution features of insulators, and fault evaluation and feedback are realized. The results show that the designed insulator damage intelligent discrimination technology can accurately locate insulators and identify defects.

Citation Download Citation

Jipu Gao, Changbao Xu, Mingyong Xin, and Yu Wang "Research on intelligent discrimination technology of conductor insulator damage based on UAV images", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 1275436 (1 August 2023); https://doi.org/10.1117/12.2684502

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