Method for recognizing distribution network equipment based on raspberry pi multi-scale feature fusion
US11631238B1 · kind B1 · utility
Assignees
Inventors
Key dates
| Filing date | Sep 26, 2022 |
| Grant date | Apr 18, 2023 |
| Priority date | — |
| Expiry date | Sep 26, 2042 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S10/50
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is a method for recognizing distribution network equipment based on Raspberry Pi multi-scale feature fusion. The method includes obtaining an initial sample data set; constructing an object detection network composed of EfficientNe-B0 backbone network, multi-scale feature fusion module and a regression classification prediction head; training the object detection network by taking the initial sample data set as a training sample; finally, detecting inspection pictures by using a the trained object detection network. A light-weight EfficientNet-B0 backbone network feature extraction method obtains more features of objects. Meanwhile, an introduction of multi-scale feature fusion better adapts to small object detection, and a light-weight y_pred regression classification detection head is effectively deployed and realized in Raspberry Pi embedded equipment with tight resources and limited computing power.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.