Systems and methods for automated vehicle image acquisition, analysis, and reporting

• US 7,889,931 B2
• Filed: 10/21/2005
• Issued: 02/15/2011
• Est. Priority Date: 10/22/2004
• Status: Active Grant

• Current Assignee: Steven Urvan
• Original Assignee: GB Investments, LLC
• Inventors: Webb, Sean E., Johnson, Merritt Franklin III, Watson, Jason D.
• Primary Examiner(s): Kassa; Yosef
• Application Number:
  US11/255,642
• Publication Number:
  US 20060114531A1
• Time in Patent Office: 1,943 Days
• Field of Search: 382/103, 382/104, 382/209, 382/218, 382/278
• US Class Current: 382/209
• CPC Class Codes: G01N 21/8806 Specially adapted optical and illumination features
• CPC Class Codes: G01N 21/8851 Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges G01N21/8806 and G01N21/93 - G01N21/95692 take precedence; optical measurement of dimensions G01B11/00; optical scanning G02B26/10; image transformation G06T3/00; computerised image enhancement G06T5/00; image processing per se for flaw detection G06T7/0002
• CPC Class Codes: G01N 21/9515 Objects of complex shape, e.g. examined with use of a surface follower device measuring contours and curvatures G01B11/24

Abstract

The present invention relates to methods, systems, and apparatuses for providing automated vehicle image acquisition, analysis, and reporting. One embodiment of the invention includes a method for providing vehicle damage information to an interested party. The method can include receiving simultaneously captured image data associated with a vehicle. The method can also include comparing at least a portion of the image data with previously stored image data associated with the vehicle. Furthermore, the method can include based at least in part on the comparison of the portion of image data with previously stored image data associated with the vehicle, determining whether damage to the vehicle exists. In addition, the method can include outputting an indicator of whether damage to the vehicle exists.

Claims

1. A method for providing vehicle damage information to an interested party, comprising:

receiving simultaneously captured image data associated with a vehicle;

comparing at least a portion of the image data with previously stored image data associated with the vehicle;

based at least in part on the comparison of the portion of image data with previously stored image data associated with the vehicle, determining whether damage to the vehicle exists; and

outputting an indicator of whether damage to the vehicle exists.

2. The method of claim 1, further comprising:

positioning a vehicle adjacent to a plurality of image capturing devices capable of simultaneously capturing a plurality of images of the vehicle.

3. The method of claim 2, further comprising:

sensing a position associated with the vehicle; and

providing at least one instruction to an operator of the vehicle to position the vehicle with respect to the plurality of image capturing devices capable of simultaneously capturing a plurality of images of the vehicle.

4. The method of claim 1, further comprising:

receiving identification data associated with the vehicle;

associating the image data with the identification data associated with the vehicle; and

based at least in part on the identification data associated with the vehicle, locating previously stored image data associated with the vehicle.

5. The method of claim 4, wherein the identification data comprises at least one of the following:

a vehicle identification number, a license plate, a dealer tag, vehicle-related data from a radio frequency identification device, vehicle-related data from a bar code, a vehicle make, a vehicle model, or a vehicle year of manufacture.

6. The method of claim 1, wherein receiving simultaneously captured image data associated with the vehicle comprises receiving a plurality of images of the vehicle from a plurality of image capturing devices.

7. The method of claim 1, wherein receiving simultaneously captured image data associated with the vehicle comprises receiving near-simultaneously captured images from at least one image capturing device.

8. The method of claim 1, wherein comparing at least a portion of the image data with previously stored image data associated with the vehicle comprises comparing the portion of the image data with at least one image of the vehicle obtained earlier than the image data.

9. The method of claim 1, wherein comparing at least a portion of the image data with previously stored image data associated with the vehicle comprises comparing the portion of image data with at least one image associated with a standard set of images of the vehicle.

10. The method of claim 1, wherein determining whether damage to the vehicle exists comprises identifying at least one of the following:

a similarity between at least two images, a dissimilarity between at least two images, dirt, a dent, a scratch, a color, a paint imperfection, a body imperfection, or a pattern.

11. The method of claim 1, wherein outputting an indicator of whether damage to the vehicle exists comprises at least one of the following:

displaying at least one image of the damage to the vehicle, generating a report of the damage, or transmitting a signal to notify a person that damage to the vehicle exists.

12. A system for identifying damage to a vehicle and providing damage-related information to an interested party, comprising:

a plurality of image capturing devices capable of simultaneously capturing image data of a vehicle;

a vehicle inspection engine capable of

receiving from the plurality of image capturing devices simultaneously captured image data associated with the vehicle;

comparing at least a portion of the image data with previously stored image data associated with the vehicle;

based at least in part on the comparison of the image data with previously stored image data associated with the vehicle, determining whether damage to the vehicle exist; and

outputting an indicator of whether damage to the vehicle exists.

13. The system of claim 12, wherein the vehicle inspection engine is further capable of:

receiving identification data associated with a vehicle;

associating the image data with the identification data associated with the vehicle; and

based at least in part on the identification data associated with the vehicle, locating previously stored image data associated with the vehicle.

14. The system of claim 12, further comprising:

at least one sensor adapted to detect a position associated with the vehicle; and

at least one indicator adapted to provide at least one instruction to an operator of the vehicle to position the vehicle with respect to the plurality of image capturing devices.

15. The system of claim 12, further comprising

an enclosure adapted to

receive a vehicle;

and

mount the plurality of image capturing devices, the at least one sensor adapted to detect a position associated with the vehicle, and the at least one indicator adapted to provide at least one instruction to an operator of the vehicle to position the vehicle with respect to the plurality of image capturing devices with respect to the vehicle.

16. A computer-readable medium containing program code, comprising:

program code for receiving simultaneously captured image data associated with a vehicle;

program code for comparing at least a portion of the image data with previously stored image data associated with the vehicle;

program code for determining whether damage to the vehicle exists based at least in part on the comparison of the portion of image data with previously stored image data associated with the vehicle; and

program code for outputting an indicator of whether damage to the vehicle exists.

17. The computer readable medium of claim 16, further comprising:

program code adapted to receive identification data associated with the vehicle;

program code adapted to associate the image data with the identification data associated with the vehicle; and

program code adapted to locate previously stored image data associated with the vehicle based at least in part on the identification data associated with the vehicle.