VEHICLE DATA COLLECTION AND VERIFICATION

• US 20170109949A1
• Filed: 12/23/2016
• Published: 04/20/2017
• Est. Priority Date: 06/25/2012
• Status: Active Grant

• Current Assignee: Mile Auto, Inc.
• Original Assignee: Vehcon, Inc.
• Inventors: Blumer, Frederick T., Fuller, Joseph R.
• Granted Patent: US 9,916,705 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/583 using metadata automatically derived from the content
• CPC Class Codes: G06F 18/00 Pattern recognition
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G06V 20/20 in augmented reality scenes
• CPC Class Codes: G06V 20/59 inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
• CPC Class Codes: G06V 20/63 Scene text, e.g. street names
• CPC Class Codes: G06V 2201/02 Recognising information on displays, dials, clocks
• CPC Class Codes: G06V 2201/08 Detecting or categorising vehicles
• CPC Class Codes: G07C 5/0866 the electronic data carrier being a digital video recorder in combination with video camera

Abstract

Disclosed are various embodiments for a data aggregation application. Operational data and image data may be captured from a client device. Odometer readings can be extracted from the image data. The operational data and image data can be verified by comparing an instrument panel depicted in the image data to a known instrument panel depiction.

Claims

1. A system, comprising:

at least one computing device, configured to at least;

obtain, from a mobile device, a first at least one image capturing an image of at least a portion of a vehicle at a first point in time;

generate from the first at least one image capturing an image of at least a portion of a vehicle image data of a first image of an identifying feature of the vehicle;

verify that the vehicle of the first at least one image capturing an image of at least a portion of a vehicle corresponds to a vehicle identification as a function of the image data of the identifying feature of the vehicle by comparing the image data of the first image of an identifying feature of the vehicle to an image knowledge base, wherein the image knowledge base comprises an image depicting an identifying feature of the vehicle, and finding a match between the image depicting an identifying feature of the vehicle of the knowledge base and the image data of the first image of an identifying feature of the vehicle of the first at least one image of at least a portion of the vehicle.

2. The system of claim 1, wherein the at least one computing device is further configured to:

generate from the first at least one image capturing an image of at least a portion of the vehicle image data of a characteristic of the vehicle at a given location on the vehicle; and

associate the characteristic of the vehicle with the vehicle identification.

3. The system of claim 1, wherein the characteristic of the vehicle is selected from the group consisting of a number of doors, a portion or section of the vehicle, vehicle color, vehicle markings, cleanliness of the vehicle, one or more parts of the vehicle, whether a part of the vehicle is missing, tinted windows, window and/or windshield condition, general vehicle condition, presence of rust, one or more dents, one or more scratches, the color of the interior of the vehicle, running board color, presence of a roof rack or other vehicle accessory, tire condition, the appearance of one or more of the wheel rims, wheels, hubcaps, and paint quality, and combinations thereof.

4. The system of claim 1, wherein the characteristic is an odometer reading.

5. The system of claim 2, wherein the at least one computing device is further configured to:

obtain, from a mobile device, a second at least one image capturing an image of at least a portion of the vehicle at a second point in time subsequent to the first point in time;

generate from the second at least one image capturing an image of at least a portion of a vehicle image data of a second image of an identifying feature of the vehicle and image data of a characteristic of the vehicle taken from the given location on the vehicle;

verify that the vehicle of the second at least one image capturing an image of at least a portion of the vehicle corresponds to the vehicle identification as a function of the image data of the second image of an identifying feature of the vehicle by comparing the image data of the second image of an identifying feature of the vehicle to an image knowledge base, wherein the image knowledge base comprises an image depicting an identifying feature of the vehicle, and finding a match between the image depicting an identifying feature of the vehicle of the knowledge base and the image data of the second image of an identifying feature of the vehicle of the second at least one image of at least a portion of the vehicle; and

compare from the image data of a characteristic of the vehicle of the first at least one image of a portion of the vehicle to the image data of a characteristic of the vehicle of the second at least one image of a portion of the vehicle to determine whether or not there has been a change in the characteristic of the vehicle.

6. The system of claim 4, wherein no change in the characteristic of the vehicle is determined.

7. The system of claim 4, wherein a change in the characteristic of the vehicle is determined.

8. The system of claim 1, wherein the image depicting an identifying feature of the vehicle of the knowledge base corresponds to a shared make, model or year of the vehicle.

9. The system of claim 1, wherein the at least one computing device is further configured to associate the identifying feature with an account corresponding to the vehicle.

10. The system of claim 1, wherein the at least one computing device is further configured to at least:

obtain, from the mobile device, operational data associated with a usage of the vehicle; and

associate the operational data with an account corresponding to the vehicle.

11. The system of claim 1, wherein the at least one computing device is further configured to determine whether the first at least one image comprises altered or transformed image data.

12. The system of claim 1, wherein comparing the image data of the first image of an identifying feature of the vehicle to the image knowledge base is performed based at least in part on a machine learning algorithm or an image matching algorithm.

13. A method, comprising:

obtaining, by at least one computing device, from a mobile device, at least one image capturing an image of at least a portion of a vehicle at a first point in time;

generating from the first at least one image capturing an image of at least a portion of the vehicle image data of a first image of an identifying feature of the vehicle; and

verifying, by the at least one computing device, that the vehicle corresponds to a vehicle identification as a function of the image data of the identifying feature of the vehicle by comparing the image data of the first image of an identifying feature of the vehicle to an image knowledge base, and finding a match between the image depicting an identifying feature of the knowledge base and the image data of the first image of an identifying feature of the vehicle of the first at least one image of the at least a portion of the vehicle.

14. The method of claim 13, wherein the image depicting an identifying feature of the vehicle of the knowledge base corresponds to a shared make, model or year of the vehicle.

15. The method of claim 13, further comprising associating, by the at least one computing device, the identifying feature with an account corresponding to the vehicle.

16. The method of claim 13, further comprising:

obtaining, by the at least one computing device, from the mobile device, operational data associated with a usage of the vehicle; and

associating, by the at least one computing device, the operational data with an account corresponding to the vehicle.

17. The method of claim 13, further comprising determining, by the at least one computing device, whether the first at least one image comprises altered or transformed image data.

18. The method of claim 13, wherein comparing the at least one image to the image knowledge base is performed based at least in part on a machine learning algorithm or an image matching algorithm.