IP Library Granted Patent US 9,530,064
Granted Patent B2
US 9,530,064 · App. 14/933,260 · Granted Dec 27, 2016

Vehicle data collection and verification

Inventors: Frederick T. Blumer (Atlanta, GA); Joseph R. Fuller (Mableton, GA)
Assignee: Vehcon, Inc.
G06K9/00832G06F17/30247G06K9/00G06K9/00624G07C5/0866G06K2209/03
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 9,530,064
App. No.
14/933,260
Granted
Dec 27, 2016
Kind
B2
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 (31)

1. A system, comprising:

at least one computing device, configured to at least:

obtain, from a mobile device, at least one image capturing an image of an instrument panel of a vehicle;

generate from the image of the instrument panel image data of a feature of the instrument panel and image data of an odometer display of the vehicle;

generate from the image data of the odometer display an odometer reading;

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

associate the odometer reading with the vehicle identification.

2. The system of claim 1 , wherein the at least one image is a first at least one image, the instrument panel is a first instrument panel, and the image knowledge base comprises a second at least one image depicting at least one second instrument panel associated with the vehicle.

3. The system of claim 2 , wherein the at least one second instrument panel corresponds to a shared make, model or year of the vehicle.

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

5. The system of claim 1 , wherein the at least one computing device is further configured to verify the odometer reading as being greater than or equal to a temporally earlier odometer reading.

6. 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.

7. 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.

8. The system of claim 1 , wherein comparing the image data of the instrument panel to the image knowledge base is performed based at least in part on a machine learning algorithm or an image matching algorithm.

9. A method, comprising:

obtaining, by at least one computing device, from a mobile device, at least one image capturing an image of an instrument panel of a vehicle;

generating, by the computing device, from the image of the instrument panel image data of a feature of the instrument panel and image data of an odometer display;

generating, by the computing device, from the image data of the odometer display an odometer reading;

verifying, by the computing device, that the vehicle corresponds to a vehicle identification as a function of the image data of a feature of the instrument panel by comparing the image data of the instrument panel to an image knowledge base, wherein the at least one image is a first at least one image of the instrument panel and the image knowledge base comprises a second at least one image depicting the instrument panel, and finding a match between the second at least one image depicting the instrument panel and the image data of a feature of the instrument panel of the first at least one image of the instrument panel; and

associating, by the computing device, the odometer reading with the vehicle identification.

10. The method of claim 9 , wherein the at least one image is a first at least one image, the instrument panel is a first instrument panel, and the image knowledge base comprises a second at least one image depicting at least one second instrument panel associated with the vehicle.

11. The method of claim 10 , wherein the at least one second instrument panel corresponds to a shared make, model or year of the vehicle.

12. The method of claim 9 , further comprising associating, by the at least one computing device, the odometer reading with an account corresponding to the vehicle.

13. The method of claim 9 , further comprising verifying, by the at least one computing device, the odometer reading as being greater than or equal to a temporally earlier odometer reading.

14. The method of claim 9 , 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.

15. The method of claim 9 , further comprising determining, by the at least one computing device, whether the first at least one image comprises altered or transformed image data.

16. The method of claim 9 , 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.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 7, 2021
From: VEHCON, INC.
To: MILE AUTO, INC.
Reel/Frame 055844/0931 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 9, 2015
From: BLUMER, FREDERICK T.; FULLER, JOSEPH R.
To: VEHCON, INC.
Reel/Frame 036990/0110 →
Continuity (4)
Continuation 13829140 · Mar 14, 2013
Provisional Application 61696116 · Aug 31, 2012
Provisional Application 61663756 · Jun 25, 2012
Related Publication 20160055386A1 · Feb 25, 2016