Computer vision methods for loss prediction and asset evaluation based on aerial images
US12106462B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 1, 2021 |
| Grant date | Oct 1, 2024 |
| Priority date | — |
| Expiry date | Jan 4, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30184
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the disclosure relate to using computer vision methods for asset evaluation. A computing platform may receive historical images of a plurality of properties and corresponding historical inspection results. Using the historical images and historical inspection results, the computing platform may train a roof waiver model (which may be a computer vision model) to output inspection prediction information directly from an image. The computing platform may receive a new image corresponding to a particular residential property. Using the roof waiver model, the computing platform may analyze the new image to output of a likelihood of passing inspection. The computing platform may send, to a user device and based on the likelihood of passing inspection, inspection information indicating whether or not a physical inspection should be performed and directing the user device to display the inspection information, which may cause the user device to display the inspection information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.