Methods and systems for automatically predicting the repair costs of a damaged vehicle from images
US11106926B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 27, 2020 |
| Grant date | Aug 31, 2021 |
| Priority date | — |
| Expiry date | Oct 27, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N23/64
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A system and computer-implemented method for automatically predicting the labor, hours, and parts costs for repair of a vehicle includes receiving one or more images of the vehicle from a policyholder. A damage assessment model is accessed. The damage assessment model corresponds to features of vehicle damage based on a plurality of damaged vehicle images contained in an image training database. The damage assessment model is compared to the images of the vehicle and vehicle damage is identified based on the images. In addition, in response to identifying the vehicle damage, total labor costs, total parts costs, and total hours for repair of the vehicle are predicted based on the associated total labor costs, total parts costs, and total hours for repair data contained in the historical claims database.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.