Back to results
US 11,900,580 B2Granted
Asset-level vulnerability and mitigation
AssigneeX Development LLC
InventorBenjamin Goddard Mullet
Life of this patent
Estimating the term…
Abstract
Methods, systems, and apparatus for receiving a request for a damage propensity score for a parcel, receiving imaging data for the parcel, wherein the imaging data comprises street-view imaging data of the parcel, extracting, by a machine-learned model including multiple classifiers, characteristics of vulnerability features for the parcel from the imaging data, determining, by the machine-learned model and from the characteristics of the vulnerability features, a damage propensity score for the parcel, and providing a representation of the damage propensity score for display.
Claims19
A method comprising:
- receiving a request for a damage propensity score for a parcel, the request specifying responsive to an occurrence of a real-time hazard event;
- receiving hazard event data for the real-time hazard event, the hazard event data comprising a current set of hazard conditions of the real-time hazard event and including a degree of exposure of the parcel to the real-time hazard event;
- receiving imaging data for the parcel, wherein the imaging data comprises street-view imaging data of the parcel;
- extracting, by a machine-learned model comprising a plurality of classifiers and using object recognition, characteristics of a plurality of vulnerability features for the parcel from the imaging data, the plurality of vulnerability features comprising structures and vegetation;
- determining, by the machine-learned model and from the characteristics of the plurality of vulnerability features and in response to the hazard event data for the real-time hazard event, the damage propensity score for the parcel, the damage propensity score indicating a measure of risk to the parcel including the characteristics of the plurality of vulnerability features of damage due to the real-time hazard event;
- and
- providing a representation of the damage propensity score for the parcel responsive to the real-time hazard event for display.
4 more elements
A non-transitory computer storage medium encoded with a computer program, the computer program comprising instructions that when executed by a data processing apparatus cause the data processing apparatus to perform operations comprising:
- receiving a request for a damage propensity score for a parcel, the request responsive to an occurrence of a real-time hazard event;
- receiving hazard event data for the real-time hazard event, the hazard event data comprising a current set of hazard conditions of the real-time hazard event and including a degree of exposure of the parcel to the real-time hazard event;
- receiving imaging data for the parcel, wherein the imaging data comprises street-view imaging data of the parcel;
- extracting, by a machine-learned model comprising a plurality of classifiers and using object recognition, characteristics of a plurality of vulnerability features for the parcel from the imaging data, the plurality of vulnerability features comprising structures and vegetation;
- determining, by the machine-learned model and from the characteristics of the plurality of vulnerability features and in response to the hazard event data for the real-time hazard event, the damage propensity score for the parcel, the damage propensity score indicating a measure of risk to the parcel including the characteristics of the plurality of vulnerability features of damage due to the real-time hazard event;
- and
- providing a representation of the damage propensity score for the parcel responsive to the real-time hazard event for display.
4 more elements
A system comprising:
- a user device;
- and
- one or more computers operable to interact with the user device and to perform operations comprising:
- receiving a request for a damage propensity score for a parcel, the request responsive to an occurrence of a real-time hazard event;
- receiving hazard event data for the real-time hazard event, the hazard event data comprising a current set of hazard conditions of the real-time hazard event and including a degree of exposure of the parcel to the real-time hazard event;
- receiving imaging data for the parcel, wherein the imaging data comprises street-view imaging data of the parcel;
- extracting, by a machine-learned model comprising a plurality of classifiers and using object recognition, characteristics of a plurality of vulnerability features for the parcel from the imaging data, the plurality of vulnerability features comprising structures and vegetation;
- determining, by the machine-learned model and from the characteristics of the plurality of vulnerability features and in response to the hazard event data for the real-time hazard event, the damage propensity score for the parcel, the damage propensity score indicating a measure of risk to the parcel including the characteristics of the plurality of vulnerability features of damage due to the real-time hazard event;
- and
- providing a representation of the damage propensity score for the parcel responsive to the real-time hazard event for display.
7 more elements
Dependencies are inferred from the claim text.