Image processing systems for detecting types of damage to a vehicle
US12315276B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 10, 2022 |
| Grant date | May 27, 2025 |
| Priority date | — |
| Expiry date | Aug 18, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An image processing system analyzes each of a set of vehicle images to determine one or more types of vehicle damage present in the selected images. The image processing system uses a characterization engine in the form of a neural network based image model to process each of the pixels of each of the selected images to determine, for the particular pixels of the image (or of the object depicted within the image) at which damage exists, the type of damage that is present. The damage types may include a tear, a scratch, a dent, a missing piece, a misalignment or other types of damage. The characterization engine or image model may be developed or trained using a training engine that analyzes a plurality of images of different vehicles damaged in various different manners which have been annotated, on a pixel by pixel basis, to indicate the type of vehicle damage that is present at each of the image pixels at which damage exists, and which have also been annotated, on an image basis, to indicate the view and/or zoom level of the image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.