The invention discloses a graphic image recognition method and a patrol
system used in patrol inspection of
electric power equipment, which solves the problems that the prior
electric power equipmentimage recognition method needs to manually
label a large amount of sample data, which is time-consuming, labor-consuming, high economic cost and unsatisfactory recognition accuracy. The invention usesa pattern image recognition method used in patrol inspection of
electric power equipment, Firstly, the image data of the same type of
power equipment sample is collected, annotated sample data and unannotated sample data are collected, Secondly, the sample data is preprocessed, Then
feature extraction of image data is performed, and the binary classifier model is trained based on semi-supervisedactive learning training. At last, that
train model is used to classify, and the real-time image data to be detect is inputted to recognize, and the normal or abnormal image data is judged, and the normal and abnormal conditions of the
power equipment are obtained; As that invention utilize sa large amount of unlabeled data, only a small amount of data is required to be
label, which saves time andlabor, and achieves good recognition rate under the same condition.