US2023410577A1PendingUtilityA1

Systems and methods for system generated damage analysis

Assignee: ALLSTATE INSURANCE COPriority: Dec 26, 2018Filed: Aug 28, 2023Published: Dec 21, 2023
Est. expiryDec 26, 2038(~12.4 yrs left)· nominal 20-yr term from priority
G07C 5/0833G06N 20/00G07C 5/0825G07C 5/0808G07C 5/085G06N 7/01G07C 5/008
66
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Claims

Abstract

A system, includes at least one processor and memory storing instructions that, when executed by the at least one processor, cause the system to perform operations. The operations include receiving, from a sensor associated with an object, sensor data; determining, based on the sensor data, a damage model indicating a severity of one or more damage elements; determining, based on the sensor data, scene data identifying a geographic location; and generating, by at least one machine classifier, event interpretation data for each of the one or more damage elements, wherein the event interpretation data is based on the sensor data, the damage model, and the scene data.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A system, comprising:
 at least one processor; and   memory storing instructions that, when executed by the at least one processor, cause the system to perform operations comprising:
 receiving, from a sensor associated with an object, sensor data; 
 determining, based on the sensor data, a damage model indicating a severity of one or more damage elements; 
 determining, based on the sensor data, scene data identifying a geographic location; and 
 generating, by at least one machine classifier, event interpretation data for each of the one or more damage elements, wherein the event interpretation data is based on the sensor data, the damage model, and the scene data. 
   
     
     
         2 . The system of  claim 1 , wherein the damage model further indicates a point of impact for each of the one or more damage elements. 
     
     
         3 . The system of  claim 1 , wherein the operations further comprise obtaining additional information regarding the geographic location, the additional information comprising at least one of a road type, an intersection type, a speed limit, a road condition, or weather information. 
     
     
         4 . The system of  claim 1 , wherein:
 the sensor data comprises image data of the one or more damage elements; and   the damage model is based on the image data.   
     
     
         5 . The system of  claim 1 , wherein the event interpretation data comprises:
 a confidence metric comprising a likelihood of liability for the one or more damage elements,   an indication of how the one or more damage elements occurred, and   an indication of a party that is at fault.   
     
     
         6 . The system of  claim 1 , wherein the operations further comprise obtaining satellite image data for the geographic location. 
     
     
         7 . The system of  claim 1 , wherein the operations further comprise:
 generating a scene rendering for the geographic location based on the event interpretation data and the satellite image data;   generating a user interface comprising the scene rendering and the event interpretation data; and   providing the user interface.   
     
     
         8 . The system of  claim 1 , wherein the sensor data comprises information regarding operation of a vehicle including at least one of a speed, an acceleration, the geographic location, or impact data from an impact sensor. 
     
     
         9 . A computer-implemented method comprising:
 receiving, from a sensor associated with an object, sensor data;   determining, based on the sensor data, scene data identifying a geographic location;   determining, by at least one machine classifier, a damage model indicating a severity of one or more damage elements, wherein the damage model is based on the sensor data; and   generating, by the at least one machine classifier, event interpretation data for each of the one or more damage elements, wherein the event interpretation data is based on the sensor data, the damage model, and the scene data.   
     
     
         10 . The computer-implemented method of  claim 9 , wherein the damage model further indicates a point of impact for each of the one or more damage elements. 
     
     
         11 . The computer-implemented method of  claim 9 , further comprising obtaining additional information regarding the geographic location, the additional information comprising at least one of a road type, an intersection type, a speed limit, a road condition, or weather information. 
     
     
         12 . The computer-implemented method of  claim 9 , wherein the event interpretation data comprises:
 a confidence metric comprising a likelihood of liability for the one or more damage elements,   an indication of how the one or more damage elements occurred, and   an indication of a party that is at fault.   
     
     
         13 . The computer-implemented method of  claim 9 , further comprising obtaining satellite image data for the geographic location. 
     
     
         14 . The computer-implemented method of  claim 9 , further comprising:
 generating a scene rendering for the geographic location based on the event interpretation data and the satellite image data;   generating a user interface comprising the scene rendering and the event interpretation data; and   providing the user interface.   
     
     
         15 . Non-transitory computer-readable medium storing instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:
 receiving, from a sensor associated with a vehicle, sensor data regarding operation of the vehicle;   determining, based on the sensor data, a damage model indicating a severity of one or more damage elements;   determining, based on the sensor data, scene data identifying a geographic location of the vehicle; and   generating, by at least one machine classifier, event interpretation data for each of the one or more damage elements, wherein the event interpretation data is based on the sensor data, the damage model, and the scene data.   
     
     
         16 . The non-transitory computer-readable medium of  claim 15 , wherein the damage model further indicates a point of impact for each of the one or more damage elements. 
     
     
         17 . The non-transitory computer-readable medium of  claim 15 , wherein the operations further comprise obtaining additional information regarding the geographic location, the additional information comprising at least one of a road type, an intersection type, a speed limit, a road condition, or weather information. 
     
     
         18 . The non-transitory computer-readable medium of  claim 15 , wherein:
 the sensor data comprises image data of the one or more damage elements; and   the damage model is based on the image data.   
     
     
         19 . The non-transitory computer-readable medium of  claim 15 , wherein the event interpretation data comprises:
 a confidence metric comprising a likelihood of liability for the one or more damage elements,   an indication of how the one or more damage elements occurred, and   an indication of a party that is at fault.   
     
     
         20 . The non-transitory computer-readable medium of  claim 15 , wherein the operations further comprise:
 obtaining satellite image data for the geographic location;   generating a scene rendering for the geographic location based on the event interpretation data and the satellite image data;   generating a user interface comprising the scene rendering and the event interpretation data; and   providing the user interface.

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