Machine learning-based hazard visualization system
US11769285B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 1, 2022 |
| Grant date | Sep 26, 2023 |
| Priority date | — |
| Expiry date | Aug 1, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2200/24
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A hazard visualization system that can use artificial intelligence to identify locations at which hazards have occurred and a cause therein and to predict locations at which hazards may occur in the future is described herein. As a result, the hazard visualization system may reduce the likelihood of structural damage and/or loss of life that could otherwise occur due to natural disasters or other hazards. For example, the hazard visualization system can train an artificial intelligence model to predict the date, time, type, severity, path, and/or other conditions of a hazard that may occur at a geographic location. As another example, the hazard visualization system can train an artificial intelligence model to identify equipment or other infrastructure depicted in geographic images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.