System, method, apparatus, and computer program product for utilizing machine learning to process an image of a mobile device to determine a mobile device integrity status
US12125254B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 17, 2023 |
| Grant date | Oct 22, 2024 |
| Priority date | — |
| Expiry date | May 17, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/95
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system, apparatus, method and computer program product are provided for determining a mobile device integrity status. Images of a mobile device captured by the mobile device and using a reflective surface are processed with various trained models, such as neural networks, to verify authenticity, detect damage, and to detect occlusions. A mask may be generated to enable identification of concave occlusions or blocked corners of an object, such as a mobile device, in an image. Images of the front and/or rear of a mobile device may be processed to determine the mobile device integrity status such as verified, not verified, or inconclusive. A user may be prompted to remove covers, remove occlusions, and/or move the mobile device closer to the reflective surface. A real-time response relating to the mobile device integrity status may be provided. The trained models may be trained to improve the accuracy of the mobile device integrity status.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.