Damage detection using machine learning
US12387308B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 5, 2023 |
| Grant date | Aug 12, 2025 |
| Priority date | — |
| Expiry date | Sep 9, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for detecting hail damage on a vehicle are described including, receiving an image of at least a section of a vehicle. Detecting a plurality of hail damage including, detecting a plurality of damaged areas distributed over the entire section of the vehicle, and differentiating the plurality of damaged areas from one or more areas of noise, processing the received image to classify one or more sections of the vehicle as one or more panels of the vehicle bodywork, and using the detected areas of damage, the classification of the seriousness of the damage and the classification of one or more panels to compute a panel damage density estimate.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.