Identification Method of Pointer Pressure Gauge Based on YOLOv5 and Digital Image Processing
In view of the difficulties in meter image detection,reading difficulties and large errors caused by complex background environment and other factors during automatic reading detection of pointer pres-sure gauge,a reading recognition method of pointer pressure gauge based on the mixture of YOLOv5 and digital image processing technology was proposed.The detection and extraction of dial under complex back-ground environment was realized through YOLOv5 network.Then the digital image processing technology is used to realize the high-precision positioning of the dial circle center and the pointer line,and finally the measuring range is determined by CRNN network.The experimental results show that this method can read the indicator of pointer pressure gauge efficiently and accurately in complex environment,and the average basic error of reading is 0.32%,which is significantly higher than the existing method,and proves that this method has good practical application value.