Insulator Defect Detection,Identification and Location Based on Modified Faster R-CNN
In view of the problem of unsatisfactory accuracy of existing algorithm in insulator detection,the present work made an improvement by using Faster R-CNN algorithm,and introduced Resnet50,which has better detection utility and excellent performance,to replace the original VGG network for defect identification.The improved algorithm,according to experimental results,can achieve a mAP reaching 77.29%on the data set in this paper,and a recall rate of 87.55%,exhibiting better accuracy and stronger real-time performance compared with other typical algorithms.