Paint refinish determination
A method, system and apparatus for determining requirements for painting a vehicle, including receiving images of the vehicle, determining, using classifiers, one or more classifications for parts of the vehicle based on the images, wherein each classifier processes the same images and is trained to identify damage to only one part of the parts of the vehicle, wherein each classifier is trained to identify a different part of the vehicle and be generic with respect to a make and model and year of the vehicle, determining, for at least one of the parts of the vehicle, one or more paint areas, wherein each paint area is an area of damage to the vehicle requiring painting, determining one or more operations and materials required to paint at least one of the one or more paint areas and outputting the determined one or more operations and materials required.
1. A method for determining requirements for painting a vehicle, comprising:
receiving a plurality of images of the vehicle;
determining, using a plurality of classifiers, one or more classifications for each of a plurality of parts of the vehicle based on at least the plurality of images, wherein each classifier of the plurality of classifiers processes a same plurality of images and is trained to identify damage to only one part of the plurality of parts of the vehicle, wherein each classifier is trained to identify a different part of the vehicle and be generic with respect to a make and model and year of the vehicle;
determining, for at least one of the parts of the vehicle, one or more paint areas, wherein each paint area is an area of damage to the vehicle requiring painting;
determining one or more operations and materials required to paint at least one of the one or more paint areas; and
outputting the determined one or more operations and materials required.
2. The method of claim 1 , further comprising receiving proposed vehicle repair estimate data, wherein the vehicle repair estimate data comprises one or more proposed vehicle repairs operations and materials.
3. The method of claim 2 , wherein the proposed vehicle repair estimate data comprises data in relation to a vehicle.
4. The method of claim 3 , wherein the data in relation to the vehicle comprises cost data in relation to one or more vehicle parts, vehicle materials or labor operations.
5. The method of claim 1 , wherein each of the plurality of classifiers comprise one or more of: a neural network; a convolutional neural network; or a recurrent neural network.
6. The method of claim 1 , wherein the determining one or more operations and materials required to paint at least one of the one or more paint areas comprises determining whether one or more pre-painted vehicle parts should be used.
7. The method of claim 6 , wherein the determining whether one or more pre-painted vehicle parts should be used comprises determining any of: replace paint time for a pre-painted part; additional cost for a pre-painted part; or total paint time for a pre-painted part.
8. The method of claim 1 , wherein the determining one or more operations and materials required to paint at least one of the one or more paint areas comprises determining any of: paint labor cost; material cost; or total paint cost.
9. The method of claim 1 , further comprising querying one or more databases to determine any of: pre-painted vehicle part costs; additional cost for a pre-painted part; total paint time for a pre-painted part; paint labor cost; material cost; or total paint cost.
10. The method of claim 1 , wherein the determining one or more operations and materials required to paint at least one of the one or more paint areas comprises any of: a replacement of the one or more paint areas using one or more pre-painted vehicle parts; a replacement of the one or more paint areas using one or more vehicle parts which require painting or repainting the one or more paint areas.
11. The method of claim 1 , wherein the outputting the determined one or more operations and/or materials required comprises one or more jurisdictional constraints.
12. The method of claim 1 , further comprising determining the relevant images showing the paint areas.
13. The method of claim 1 , wherein the paint area comprises any or any combination of: normalized parts of the vehicle; normalized regions of the vehicle; normalized zones of the vehicle; standardized parts of the vehicle; standardized regions of the vehicle; standardized zones of the vehicle.
14. The method of claim 2 , further comprising determining whether any of the proposed vehicle repairs in the proposed vehicle repairs operations and materials are unnecessary based on the determined one or more operations or materials required.