- 专利标题: Machine learning-based hazard visualization system
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申请号: US17878773申请日: 2022-08-01
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公开(公告)号: US11769285B2公开(公告)日: 2023-09-26
- 发明人: Matthew E. Karli , Robert V. Fritchie
- 申请人: CoreLogic Solutions, LLC
- 申请人地址: US CA Irvine
- 专利权人: CoreLogic Solutions, LLC
- 当前专利权人: CoreLogic Solutions, LLC
- 当前专利权人地址: US CA Irvine
- 代理机构: Knobbe Martens Olson & Bear LLP
- 主分类号: G06T11/60
- IPC分类号: G06T11/60 ; G06N20/00 ; G06F16/29 ; G06V30/422 ; G06F18/214
摘要:
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.
公开/授权文献
- US20230044469A1 MACHINE LEARNING-BASED HAZARD VISUALIZATION SYSTEM 公开/授权日:2023-02-09
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