Invention Grant
- Patent Title: Machine learning-based hazard visualization system
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Application No.: US17878773Application Date: 2022-08-01
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Publication No.: US11769285B2Publication Date: 2023-09-26
- Inventor: Matthew E. Karli , Robert V. Fritchie
- Applicant: CoreLogic Solutions, LLC
- Applicant Address: US CA Irvine
- Assignee: CoreLogic Solutions, LLC
- Current Assignee: CoreLogic Solutions, LLC
- Current Assignee Address: US CA Irvine
- Agency: Knobbe Martens Olson & Bear LLP
- Main IPC: G06T11/60
- IPC: G06T11/60 ; G06N20/00 ; G06F16/29 ; G06V30/422 ; G06F18/214

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.
Public/Granted literature
- US20230044469A1 MACHINE LEARNING-BASED HAZARD VISUALIZATION SYSTEM Public/Granted day:2023-02-09
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