Aiming at the problems of low recognition accuracy and poor recognition effect of traditional meter reading methods, this paper presents a numerical recognition method of intelligent meters based on Region-based Convolutional Neural Network (R-CNN). This method first collects the image information of the digital code disc of the ammeter by camera, then preprocesses the collected images, and finally automatically recognizes the preprocessed images through R-CNN. The experimental results show that the proposed method in this paper could identify the position information automatically and read information of the dial simultaneously using R-CNN, which will greatly reduce the pressure of manual meter recognition and improve the accuracy of meter recognition.
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向映红,廖勇,代学武.基于R-CNN的智能电表数值识别方法[J].机床与液压,2019,47(24):87-91. . R-CNN based method for intelligent meter recognition[J]. Machine Tool & Hydraulics,2019,47(24):87-91