Substation equipment defect identification method based on drone inspection

Due to the complex environmental background of the substation, the wide field of view of drone inspection, and the small proportion of the target in the image, it is difficult to extract the defect feature of the small target and the high false detection rate. How to improve the recognition rate of the defect of the small target equipment is an urgent problem to be solved at present. The multimodel cascaded module, which is used to locate device components before defect detection or defect classification, is introduced into the Cascade-Rcnn algorithm to improve the accuracy of defects of small target device components and achieve accurate location of device defects.