Power Equipment State Recognition Method Based on Binocular Vision Video

Chuanyou Zhang, Zhizhou Sun, Tao Wang, Jian Li, Yafei Wang, G. Shao, Yan Deng, Guoqing Yang
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Abstract

A state detection method of power equipment based on Binocular vision video is proposed. The power equipment video stream is obtained by binocular camera, and the inspection image is obtained by extracting the video key frames. The disparity map of the region of interest in the inspection image is calculated, and the distance information distribution is obtained from the disparity map. According to the distance information distribution, the status of electrical equipment is determined. Through the principle of binocular vision ranging, equipment status identification is realized, which provides a new method for the identification of substation equipment status, and realizes the rapid and accurate identification of power equipment status.
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基于双目视觉视频的电力设备状态识别方法
提出了一种基于双目视觉视频的电力设备状态检测方法。利用双目摄像机获取电力设备视频流,通过提取视频关键帧获得巡检图像。计算检测图像中感兴趣区域的视差图,并从视差图中得到距离信息分布。根据距离信息分布,确定电气设备的状态。通过双目视觉测距原理,实现了设备状态识别,为变电站设备状态识别提供了一种新的方法,实现了电力设备状态的快速准确识别。
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