Computer vision methods for loss prediction and asset evaluation based on aerial images
US12051114B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 1, 2021 |
| Grant date | Jul 30, 2024 |
| Priority date | — |
| Expiry date | Apr 1, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/176
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the disclosure relate to using computer vision methods to forecast damage. A computing platform may receive historical images comprising aerial images of residential properties and historical loss data corresponding to the residential properties. Using the historical images and the historical loss data, the computing platform may train a computer vision model, which may configure the computer vision model to output loss prediction information directly from an image. The computing platform may receive a new image corresponding to a particular residential property, and may analyze the new image, using the computer vision model, which may directly result in a likelihood of damage score. Based on the likelihood of damage score, the computing platform may send likelihood of damage information and one or more commands directing a user device to display the likelihood of damage information, which may cause the user device to display the likelihood of damage information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.