Power equipment indicator status detection algorithm based on the improved YOLOv4 and HSV color space

Junlong Wang; Wei Kang; Wei Zhou; Fengbiao Huang; Xuefeng Tao; Qiong Wu

doi:10.1117/12.2634414

4 May 2022 Power equipment indicator status detection algorithm based on the improved YOLOv4 and HSV color space

Junlong Wang, Wei Kang, Wei Zhou, Fengbiao Huang, Xuefeng Tao, Qiong Wu

Proceedings Volume 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021); 121720U (2022) https://doi.org/10.1117/12.2634414
Event: International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 2021, Nanchang, China

Abstract

This paper proposes a power equipment indicator status detection algorithm based on the improved YOLOv4 and HSV color space. Firstly, the image of power meter is preprocessed by denoising and histogram equalization. Secondly, the PSA attention mechanism module is added to the network layer of YOLOv4 to improve its power of small target detection. The improved YOLOv4 is used to detect the indicator lights in the image, the color of the detected indicator light is determined through the HSV space. Experimental results verify that the proposed algorithm has better performance than several existed algorithms.

Citation Download Citation

Junlong Wang, Wei Kang, Wei Zhou, Fengbiao Huang, Xuefeng Tao, and Qiong Wu "Power equipment indicator status detection algorithm based on the improved YOLOv4 and HSV color space", Proc. SPIE 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 121720U (4 May 2022); https://doi.org/10.1117/12.2634414

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