The accurate recognition method of transmission line foreign body image based on deep learning

Jie Zhuang; Yuan Du

doi:10.1117/12.2631416

18 March 2022 The accurate recognition method of transmission line foreign body image based on deep learning

Jie Zhuang, Yuan Du

Proceedings Volume 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021); 121680P (2022) https://doi.org/10.1117/12.2631416
Event: International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 2021, Harbin, China

Abstract

The accuracy of traditional image recognition methods is low, and the image recognition effect decreases. Therefore, an accurate target recognition method of transmission line foreign object image based on deep learning is designed. The foreign object image data of transmission line are collected, and the network structure of foreign object image of transmission line is extracted. Based on deep learning, the accurate index of foreign object image recognition of transmission line is optimized to realize the accurate image recognition. By means of comparative experiment, it is verified that the image recognition effect of the new method is better and has great popularization value.

Citation Download Citation

Jie Zhuang and Yuan Du "The accurate recognition method of transmission line foreign body image based on deep learning", Proc. SPIE 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 121680P (18 March 2022); https://doi.org/10.1117/12.2631416

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