Method and system for detecting typical object of transmission line based on unmanned aerial vehicle (UAV) federated learning
US12183485B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 15, 2022 |
| Grant date | Dec 31, 2024 |
| Priority date | — |
| Expiry date | Aug 10, 2043 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S10/50
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for detecting a typical object of a transmission line based on UAV federated learning. The method includes: determining a detection model for a typical object of a transmission line by YOLOv3 object detection algorithm according to a prior database for the typical object; dividing a UAV network into multiple federated learning units; acquiring pictures, taken by the UAV network, of the typical object and tags corresponding to each picture to determine a training database; training, based on Horovod framework and FATE federated learning framework, each federated learning unit according to the training database and the detection model for the typical object, and determining the trained UAV network according to the trained federated learning unit; and determining, by the trained UAV network, the typical object in each picture. A congestion of communication links is avoided, thereby improving detection efficiency.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.