IMAGE BASED DAMAGE RECOGNITION AND REPAIR COST ESTIMATION

• US 20140316825A1
• Filed: 04/18/2014
• Published: 10/23/2014
• Est. Priority Date: 04/18/2013
• Status: Abandoned Application

• Current Assignee: Audatex North America Incorporated (Solera Holdings Incorporated)
• Original Assignee: Audatex North America Incorporated (Solera Holdings Incorporated)
• Inventors: van Dijk, Cornelis Nicolaas, Nix, Robbert, Smith, John Jr.
• Application Number:
  US14/256,511
• Publication Number:
  US 20140316825A1
• Time in Patent Office: Days
• US Class Current: 705/4
• CPC Class Codes: G06Q 10/20 Administration of product repair or maintenance
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G06V 20/64 Three-dimensional objects

Abstract

An apparatus and method for generating a repair cost estimate for a damaged vehicle from an image of the damaged vehicle. The image is provided to a processor that operates in accordance with instructions that perform the steps of identifying an area of the damaged vehicle that is damaged, associating at least one part with the identified damaged area, and generating a repair estimate utilizing the associated part.

Claims

1. A method for generating a repair cost estimate for a damaged vehicle, comprising:

generating an image of the damaged vehicle with an image device;

providing the image to a processor that operates in accordance with instructions that perform the steps of;

identifying an area of the damaged vehicle that is damaged;

associating at least one part with the identified damaged area; and

,

generating a repair estimate utilizing the associated part.

2. The method of claim 1, further comprising the steps of generating a statistical model repair estimate utilizing a statistical model based on historical repair estimate data and comparing the repair estimate with the statistical model repair estimate.

3. The method of claim 1, wherein the image of the damaged vehicle is captured with a camera.

4. The method of claim 1, wherein the image of the damaged vehicle is captured with a scanner.

5. The method of claim 1, further comprising transforming the image of the damaged vehicle into a 3D image.

6. The method of claim 1, wherein the damaged area is identified by comparing the image of the damaged vehicle with an image of an undamaged vehicle.

7. The method of claim 2, further comprising the step of calculating a probability that is associated with the statistical model repair estimate.

8. A non-transitory computer program storage medium, comprising computer-readable instructions for generating a repair cost estimate from an image of a damaged vehicle, execution of said computer-readable instructions by at least one processor to perform the steps of:

identifying an area of the damaged vehicle that is damaged;

associating at least one part with the identified damaged area; and

,

generating a repair estimate utilizing the associated part.

9. The non-transitory computer program storage medium of claim 8, further comprising generating a statistical model repair estimate utilizing a statistical model based on historical repair estimate data and comparing the repair estimate with the statistical model repair estimate.

10. The non-transitory computer program storage medium of claim 8, wherein the image of the damaged vehicle is captured with a camera.

11. The non-transitory computer program storage medium of claim 8, wherein the image of the damaged vehicle is captured with a scanner.

12. The non-transitory computer program storage medium of claim 8, further comprising transforming the image of the damaged vehicle into a 3D image.

13. The non-transitory computer program storage medium of claim 8, wherein the damaged area is identified by comparing the image of the damaged vehicle with an image of an undamaged vehicle.

14. The non-transitory computer program storage medium of claim 9, further comprising the step of calculating a probability that is associated with the statistical model repair estimate.