Research on infrared image classification of power equipment based on YOLOv7

Jia Chen; Chengbo Yu; Shibin Wang; Xin He; Wei Zhang; Qichao Jiang

doi:10.1117/12.3006123

10 October 2023 Research on infrared image classification of power equipment based on YOLOv7

Jia Chen, Chengbo Yu, Shibin Wang, Xin He, Wei Zhang, Qichao Jiang

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127994X (2023) https://doi.org/10.1117/12.3006123
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

To address the problems of low accuracy and slow detection speed of traditional classification methods for infrared images of power equipment, the YOLOv7 model is used in this paper for the classification task of infrared images of power equipment. Firstly, the data set is labeled according to the existing data set, and then the data set is put into YOLOv7 and YOLOv5s network for comparison. The experimental results show that the YOLOv7 model has higher accuracy and faster detection speed in the power equipment infrared image classification task, and its average accuracy is 91.7%, which is higher than the average accuracy of 86.6% of YOLOv5s, and the model can detect blurred infrared images in power scenes, which has good potential for application. This study provides an effective solution in the field of infrared image classification of power equipment, which can play an important role in the fields of power inspection and fault diagnosis

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

Citation Download Citation

Jia Chen, Chengbo Yu, Shibin Wang, Xin He, Wei Zhang, and Qichao Jiang "Research on infrared image classification of power equipment based on YOLOv7", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127994X (10 October 2023); https://doi.org/10.1117/12.3006123

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KEYWORDS

Infrared imaging

Infrared radiation

Thermography

Infrared detectors

Image classification

Detection and tracking algorithms

Instrument modeling

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