In order to improve the safety,flexibility and reliability of automatic state detection of electric energy me-tering device,an automatic detection system of electric energy metering device state based on visual recognition tech-nology is proposed.Based on the visual recognition technology,the system innovatively proposes a hybrid image cor-rection method,and performs data recognition and processing through the OCR model.The dataset was trained by transfer learning,and the residual value range was used to judge whether the state of the electric energy metering device was abnormal.An experiment was designed for the visual recognition effect and the automatic detection effect of the state of the electric energy metering device.The experimental results show that the automatic detection system of electric energy metering device status based on visual recognition technology can more accurately identify the im-age of electric energy metering device,the data processing is accurate and efficient,and the state detection of electric energy metering device is reliable,flexible and accurate.
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