Smart image tagging and selection on mobile devices
US11341379B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 31, 2019 |
| Grant date | May 24, 2022 |
| Priority date | — |
| Expiry date | Sep 15, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for automatic image tagging and selection at a mobile device include generating a smart image tagging model by first training an initial model based on different angles of image capture of subject vehicles, and then re-training the trained model using weights discovered from the first training and images that have been labeled with additional tags indicative of different vehicle portions and/or vehicle parameters. Nodes that are training-specific are removed from the re-trained model, and the lightweight model is serialized to generate the smart image tagging model. The generated model may autonomously execute at an imaging device to predict respective tags associated with a stream of frames; select, capture and store respective suitable frames as representative images corresponding to the predicted tags; and provide the set of representative images and associated tags for use in determining vehicle damage, insurance claims, and the like.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.