Method and system for detecting typical object of transmission line based on unmanned aerial vehicle (UAV) federated learning

A system for detecting a typical object of a transmission line based on UAV federated learning, comprising:

• a detection model determining module for a typical object of a transmission line, configured to determine the detection model for the typical object of the transmission line by using a you only look once, version 3 (YOLOv3) object detection algorithm according to a prior database for the typical object of the transmission line, wherein the prior database for the typical object of the transmission line comprises a plurality of pictures of the typical object of the transmission line and a tag corresponding to each of the plurality of pictures, and the typical object of the transmission line comprises an insulator, a wire, or a pin;
• a federated learning unit and training database determining module, configured to divide a UAV network into multiple federated learning units and determine the training database by acquiring the plurality of pictures, taken by the UAV network, of the typical object of the transmission line and the tag corresponding to each of the plurality of pictures;
• a trained UAV network determining module, configured to train, based on a Horovod framework and a FATE federated learning framework, each federated learning unit according to the training database and the detection model for the typical object of the transmission line, and determine the trained UAV network according to the trained federated learning units;
• and
• a detecting module, configured to determine, by the trained UAV network, the typical object in each of the plurality of pictures of the typical object of the transmission line.