Automatic Monitoring of Power Equipment Operation Status Based on Image Recognition
Due to the wide variety,complex structure,and diverse operating environments of power equipment,the real-time monitoring rate of equipment operation status is relatively low.Therefore,a research on automatic monitoring of power equipment operation status based on image recognition is proposed.Using high-performance cameras to capture real-time images of power equipment operation,optimizing image quality through Gaussian filtering and grayscale conversion,improving image quality through histogram equalization technology,and extracting key point features from images through scale invariant feature transformation algorithm.Using template matching algorithm,comparing real-time captured image features of power equipment with image features in standard databases,achieving automatic monitoring and accurate identification of anomalies in power equipment.The results show that the design method can quickly and accurately capture abnormal situations of power equipment,significantly improving the real-time monitoring rate.
NETL
NSTL
万方数据
