Research on Detection and Recognition of Pointer Instrument Based on Lightweight Network
Xin Zhang, Ye Lu, Xiao Zhang, Ligang Wu, Fan Yeping · Proceedings of the 2020 International Conference on Aviation Safety and Information Technology · 2020
This article proposes an embedded platform automatic detection and recognition method for pointer instruments in substations and communication rooms. Firstly, YOLO network is selected for coarse positioning, and SSD network is used as the backbone network for fine positioning, and they are respectively lightweight for deployment in embedded devices. Secondly, perspective transformation is used to correct the deviation of the viewing angle between the dial and the camera for the positioned meters. Finally, for the obtained high-quality meter image, the final reading of the meter is recognized through the dial detection, pointer detection and scale correspondence. Experimental results show that the proposed method has good performance for rapid and effective detection and recognition of pointer instruments in substation and communication room environments.