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To accurately read the indicated value of the pointer meter in the distribution cabinet and ensure that the patrol robot makes the corresponding decision, a pointer meter detection and indicated value reading method combining improved YOLOv5 and PSPNet (Pyramid Scene Parsing Network) model are proposed. Firstly, the YOLOv5 algorithm was used to detect and locate the dial area by replacing the backbone network with the lightweight network MobileNetv3. Secondly, the PSPNet algorithm was used to segment the dial scale area and the pointer by replacing the feature extraction network with MobileNetv2, and the center of rotation of the pointer and the deflection angle of the pointer was obtained by Least Squares and Hough Line Detection. Finally, the deflection angle of the pointer and the deflection angle of the line connecting the adjacent main scale line and the rotation center was combined to obtain the instrument representation value by the formula method. The experimental results show that the algorithm can accurately extract the dial of the pointer meter on the distribution cabinet and accurately segment the scale and the pointer in the dial, and the relative error is small within the allowed error range, which meets the requirements of practical applications.