Assembly body change detection method, device and medium based on attention mechanism
US11630972B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 9, 2021 |
| Grant date | Apr 18, 2023 |
| Priority date | — |
| Expiry date | Aug 6, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02P90/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An assembly change detection method based on attention mechanism, including: establishing a three-dimensional model of an assembly body, adding a tag to each part in the three-dimensional model, setting several assembly nodes, obtaining depth images of the three-dimensional model under each assembly node in different viewing angles, and obtaining a change tag image of a added part at each assembly node; selecting two depth images at front and back moments in different viewing angles as training samples; performing semantic fusion, feature extraction, attention mechanism processing and metric learning sequentially on the training samples, training a detection model, continuously selecting training samples to train the detection model, saving model parameters with optimal similarity during training, completing training; and obtaining depth images of successive assembly nodes during assembling the assembly body, inputting depth images into trained detection model, and outputting change image of added part of the assembly body during assembly.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.