Vehicle image and sound data gathering for insurance rating purposes

• US 9,734,537 B2
• Filed: 03/10/2014
• Issued: 08/15/2017
• Est. Priority Date: 03/10/2013
• Status: Active Grant

• Current Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Original Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Inventors: Christensen, Scott T., Hayward, Gregory, Gay, Christopher E., Cielocha, Steven, Binion, Todd
• Primary Examiner(s): Shaikh, Mohammad Z
• Application Number:
  US14/203,344
• Publication Number:
  US 20140257872A1
• Time in Patent Office: 1,254 Days
• CPC Class Codes: B60C 1/00 Tyres characterised by the chemical composition or the physical arrangement or mixture of the composition
• CPC Class Codes: B60Q 1/00 Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor for lighting vehicle interior B60Q3/00
• CPC Class Codes: B60R 25/20 Means to switch the anti-theft system on or off
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 30/0208 Trade or exchange of goods or services in exchange for incentives or rewards
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G07C 5/00 Registering or indicating the working of vehicles
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G08G 1/096838 where the user preferences are taken into account or the user selects one route out of a plurality
• CPC Class Codes: H04W 4/40 for vehicles, e.g. vehicle-to-pedestrians [V2P]

Abstract

A method and computer system provides vehicle insurance underwriting and ratings to a policy holder. The method and system receives captured sensor data associated with a vehicle from the policy holder. For example, the captured sensor data may include vehicle image and sound data. The method and system may compare the received data to baseline data to determine an operating condition of the vehicle. Based at least in part on the determined operating condition of the vehicle, the method and system may identify a risk of loss for the vehicle. The method and system may then determine an insurance premium for the vehicle based at least in part on the identified risk of loss, and provide the determined insurance premium to the policy holder. In some embodiments, the sensor data is image and sound data captured by a user'"'"'s mobile phone.

Claims

1. A computer-implemented method for providing vehicle insurance, the method comprising:

receiving, by one or more processors executing a processor-implemented instruction module, data associated with a vehicle captured by a sensor of a computing device, wherein the data includes sound data produced by the vehicle and captured by an audio sensor of the computing device, the sound data having a particular frequency;

analyzing, by the processor-implemented instruction module, the received data to determine an operating condition of the vehicle, wherein determining the operating condition of the vehicle includes comparing the particular frequency of the sound data captured by the audio sensor to a baseline frequency of a baseline engine sound model to determine one or more of an indication of a state of disrepair of the vehicle engine or an indication of an inappropriate or illegal modification of the vehicle engine;

determining, by the processor-implemented instruction module, a deviation between the particular frequency of the sound data and the baseline frequency of the baseline engine sound model;

identifying, by the processor-implemented instruction module, a beginning or ending of a trip using the vehicle based at least in part on the sound data captured by the audio sensor of the computing device, wherein the beginning of the trip causes collection of vehicle usage data including one or more of miles driven, a speed, a time of day, or a geographic location;

calculating, by the processor-implemented instruction module, a risk of loss for the vehicle based on (i) the determined operating condition of the vehicle (ii) the deviation, (iii) the vehicle usage data, and (iv) the sound data used to identify the beginning or ending of the trip using the vehicle;

determining, by the processor-implemented instruction module, an insurance premium for the vehicle based at least in part on the calculated risk of loss; and

providing, by the processor-implemented instruction module, the determined insurance premium to a user.

2. The computer-implemented method of claim 1, wherein the data further includes image data captured by an imaging sensor of the computing device.

3. The computer-implemented method of claim 2, wherein the imaging sensor includes one or more of a camera or a video recorder, and the audio sensor includes a microphone.

4. The computer-implemented method of claim 3, wherein the image data includes a captured odometer reading indicating a mileage of the vehicle and the sound data includes a recorded engine sound while the vehicle is running.

5. The computer-implemented method of claim 4, wherein the image data further includes a captured image of the vehicle indicating an appearance of the vehicle including a vehicle make, a vehicle model, a vehicle model year, paint conditions of the vehicle, tire conditions of the vehicle, window conditions of the vehicle, interior conditions of the vehicle, dents on the vehicle, scratches on the vehicle, or other vehicle defects.

6. The computer-implemented method of claim 1, further comprising receiving, by the processor-implemented instruction module, vehicle owner or operator data associated with an owner or operator of the vehicle, and identifying the risk of loss for the vehicle is further based on comparing the received vehicle owner or operator data to stored vehicle owner or operator statistics.

7. The computer-implemented method of claim 6, wherein the vehicle owner or operator data includes one or more of an age, gender, or marital status of the vehicle owner or operator, a home address of the vehicle owner or operator, how the vehicle is used by the vehicle owner or operator, where the vehicle is driven to by the vehicle owner or operator, how many miles driven by the vehicle owner or operator, how many speeding tickets that the vehicle owner or operator has, how many auto accidents that the vehicle owner or operator has been involved in, or how many previous vehicle insurance claims that the vehicle owner or operator has previously filed.

8. The computer-implemented method of claim 2, further comprising:

receiving, by the processor-implemented instruction module, updated image data, sound data or vehicle owner or operator data associated with the vehicle; and

calculating, by the processor-implemented instruction module, an adjustment for the determined insurance premium based on the updated image data, sound data or vehicle owner or operator data.

9. A non-transitory computer-readable storage medium including computer-readable instructions to be executed on one or more processors of a system for providing vehicle insurance, the instructions when executed causing the one or more processors to:

receive, by a processor-implemented instruction module, data associated with a vehicle captured by a sensor of a computing device, wherein the data includes sound data produced by the vehicle and captured by an audio sensor of the computing device, the sound data having a particular frequency;

analyze, by the processor-implemented instruction module, the received data to determine an operating condition of the vehicle, wherein determining the operating condition of the vehicle includes comparing the particular frequency of the sound data captured by the audio sensor to a baseline frequency of a baseline engine sound model to determine one or more of an indication of a state of disrepair of the vehicle engine or an indication of an inappropriate or illegal modification of the vehicle engine;

determine, by the processor-implemented instruction module, a deviation between the particular frequency of the sound data and the baseline frequency of the baseline engine sound model;

identify, by the processor-implemented instruction module, a beginning or ending of a trip using the vehicle based at least in part on the sound data captured by the audio sensor of the computing device, wherein the beginning of the trip causes collection of vehicle usage data including one or more of miles driven, a speed, a time of day, or a geographic location;

calculate, by the processor-implemented instruction module, a risk of loss for the vehicle based on (i) the determined operating condition of the vehicle (ii) the deviation, (iii) the vehicle usage data, and (iv) the sound data used to identify the beginning or ending of the trip using the vehicle;

determine, by the processor-implemented instruction module, an insurance premium for the vehicle based at least in part on the calculated risk of loss; and

provide, by the processor-implemented instruction module, the determined insurance premium to a user.

10. The non-transitory computer-readable storage medium of claim 9, wherein the data further includes image data captured by an imaging sensor of the computing device.

11. The non-transitory computer-readable storage medium of claim 10, wherein the imaging sensor includes one or more of a camera or a video recorder, and the audio sensor includes a microphone.

12. The non-transitory computer-readable storage medium of claim 11, wherein the image data includes a captured odometer reading indicating a mileage of the vehicle and the sound data includes a recorded engine sound while the vehicle is running.

13. The non-transitory computer-readable storage medium of claim 10, wherein the image data further includes a captured image of the vehicle indicating an appearance of the vehicle including a vehicle make, a vehicle model, a vehicle model year, paint conditions of the vehicle, tire conditions of the vehicle, window conditions of the vehicle, interior conditions of the vehicle, dents on the vehicle, scratches on the vehicle, or other vehicle defects.

14. The non-transitory computer-readable storage medium of claim 9, further including instructions that, when executed, cause the one or more processors to receive, by the processor-implemented instruction module,-vehicle owner or operator data associated with an owner or operator of the vehicle and wherein the instructions to identify the risk of loss for the vehicle include identifying the risk of loss based on comparing the received vehicle owner or operator data to stored vehicle owner or operator statistics.

15. The non-transitory computer-readable storage medium of claim 14, wherein the vehicle owner or operator data includes one or more of an age, gender, or marital status of the vehicle owner or operator, a home address of the vehicle owner or operator, how the vehicle is used by the vehicle owner or operator, where the vehicle is driven to by the vehicle owner or operator, how many miles driven by the vehicle owner or operator, how many speeding tickets that the vehicle owner or operator has, how many auto accidents that the vehicle owner or operator has been involved in, how many previous vehicle insurance claims that the vehicle owner or operator has previously filed, or other relevant information.

16. The non-transitory computer-readable storage medium of claim 9, further including instructions that, when executed, cause the one or more processors to:

receive, by the processor-implemented instruction module, updated image data, sound data or vehicle owner or operator data associated with the vehicle; and

calculate, by the processor-implemented instruction module, an adjustment for the determined insurance premium based on the updated image data, sound data or vehicle owner or operator data.

17. A computer system for providing vehicle insurance, the system comprising:

a vehicle data repository; and

an insurance server, including a memory having instructions for execution on one or more processors, wherein the instructions, when executed by the one or more processors, cause the insurance server to;

retrieve, via a network connection, sound data produced by a vehicle, the sound data having a particular frequency;

retrieve, from the vehicle data repository, via a network connection, stored baseline vehicle data, wherein the stored baseline vehicle data comprises a baseline engine sound model having a baseline frequency;

compare, by the one or more processors executing one or more processor-implemented instruction modules, the particular frequency of the sound data produced by the vehicle with the baseline frequency of the baseline engine sound model to determine an operating condition of the vehicle including one or more of an indication of a state of disrepair of the vehicle engine or an indication of an inappropriate or illegal modification of the vehicle engine;

determine, by the one or more processors executing one or more processor-implemented instruction modules, a deviation between the particular frequency of the sound data and the baseline frequency of the baseline engine sound model;

identify, by the one or more processors executing one or more processor-implemented instruction modules, a beginning or ending of a trip using the vehicle based at least in part on the sound data produced by the vehicle, wherein the beginning of the trip causes collection of vehicle usage data including one or more of miles driven, a speed, a time of day, or a geographic location;

calculate, by the one or more processors executing one or more processor-implemented instruction modules, a risk of loss for the vehicle based on (i) the determined operating condition of the vehicle (ii) the deviation, (iii) the vehicle usage data, and (iv) the sound data used to identify the beginning or ending of the trip using the vehicle;

determine, by the one or more processors executing the one or more processor-implemented instruction modules, an insurance premium for the vehicle based at least in part on the calculated risk of loss; and

provide, via a network connection, the determined insurance premium to a user.

18. The computer system of claim 17, wherein the instructions of the insurance server, when executed by the one or more processors, further cause the insurance server to:

retrieve, via the network connection, vehicle owner or operator data associated with an owner or operator of the vehicle;

retrieve, via the network connection, vehicle owner or operator statistics; and

identify, by the one or more processors executing the one or more processor-implemented instruction modules, the risk of loss based on comparing the vehicle owner or operator data to the vehicle owner or operator statistics.

19. The computer system of claim 17, wherein the instructions of the insurance server, when executed by the one or more processors, further cause the insurance server to:

retrieve, via the network connection, updated data including image data, updated sound data or vehicle owner or operator data associated with the vehicle from the vehicle data repository; and

calculate, by the one or more processors executing the one or more processor-implemented instruction modules, an adjustment for the determined insurance premium based on the image data, updated sound data or vehicle owner or operator data.

20. The computer system of claim 19, wherein the image data includes a captured odometer reading indicating a mileage of the vehicle, and the updated sound data includes a further recording of engine sound while the vehicle is running.