Research on Recognition Method of Water Meter Based on YOLOv7
To solve the problem of automatic recognition of water meter readings,an efficient and accurate image recognition technology is explored to replace the traditional manual reading methods.A set of automated water meter read-ing recognition system is constructed using YOLOv7 algorithm and image processing technology.Firstly,a large number of water meter images within the water meter company are collected to construct a training dataset.Subsequently,a neural network model is trained using the YOLOv7 algorithm to achieve accurate detection of key elements in the water meter image,such as the water meter wheel,the overall water meter,and the circular dial with pointers.The experimen-tal results show that the recognition system has an accuracy rate(mPA@0.5)of 97％in identifying the water meter wheel,the water meter as a whole,and the circular dial with pointers,demonstrating excellent performance.This system not only achieves rapid detection,but also ensures high accuracy,significantly improving the efficiency and accuracy of water meter readings.Compared to traditional image processing methods,the automatic recognition method of water meter readings based on the YOLOv7 algorithm does not require a fixed camera installation and has the looser requirements for image acquisition conditions,thus having higher universality and practicality.This method has important application value in the field of automatic reading of water meters and other instruments,and is expected to promote the intelligent process of related industries.
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维普
