Paper
10 November 2020 An automatic reading method for pointer meter based on one-stage detector
Yi Zheng, Meilin Chen, Jishen Peng, Donglian Qi
Author Affiliations +
Proceedings Volume 11584, 2020 International Conference on Image, Video Processing and Artificial Intelligence; 1158408 (2020) https://doi.org/10.1117/12.2579436
Event: Third International Conference on Image, Video Processing and Artificial Intelligence, 2020, Shanghai, China
Abstract
Nowadays pointer meters are widely used in industries. In this paper, we propose a novel automatic reading method for pointer meters. Different from previous works that adopt two-stage detectors for detection, our approach integrates two components: a one-stage detector NeighborNet (Neighbor Network) and an angle reading module. NeighborNet is a simple but effective framework that can generate keypoint detection and meter detection with higher accuracy and less inference time. Specifically, we construct a neighborhood module, which significantly improves the accuracy of keypoint detection, thereby improving the accuracy of meter readings. The prediction generated by NeighborNet are then delivered into the angle reading module to obtain the final meter reading. Experiments validate the effectiveness of our automatic reading method and also prove that our method is robust to different types of meters.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yi Zheng, Meilin Chen, Jishen Peng, and Donglian Qi "An automatic reading method for pointer meter based on one-stage detector", Proc. SPIE 11584, 2020 International Conference on Image, Video Processing and Artificial Intelligence, 1158408 (10 November 2020); https://doi.org/10.1117/12.2579436
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KEYWORDS
Sensors

Visualization

Calibration

Electrical engineering

Network architectures

Relays

Reliability

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