Integrated process and system for cosmetic vehicle repairs

• US 20120109660A1
• Filed: 10/22/2008
• Published: 05/03/2012
• Est. Priority Date: 10/23/2007
• Status: Abandoned Application

• Current Assignee: Allan Blase Joseph Rodrigues, Daniel A. Benton, Gann Xu, Jonathon P. Purifoy, Jon Kemp, Joseph Francis Campbell, Keith A. Sena, Michael W. Mcmillan
• Original Assignee: Allan Blase Joseph Rodrigues, Daniel A. Benton, Gann Xu, Jonathon P. Purifoy, Jon Kemp, Joseph Francis Campbell, Keith A. Sena, Michael W. Mcmillan
• Inventors: Xu, Gann, Sena, Keith A., Kemp, Jon, Rodrigues, Allan Blase Joseph, Benton, Daniel A., McMillan, Michael W., Purifoy, Jonathon P., Campbell, Joseph Francis
• Application Number:
  US12/288,642
• Publication Number:
  US 20120109660A1
• Time in Patent Office: Days
• US Class Current: 705/1.1
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/0283 Price estimation or determination
• CPC Class Codes: G06Q 50/40 Business processes related to the transportation industry shipping G06Q10/083

Abstract

The present invention is directed to an integrated process and system for cosmetic vehicle repair. The invention provides a process and a system to produce repair formulas, repair estimates, and repair scheduling. The present invention is particularly directed to a process and a system for repairing coating defect of a vehicle.

Claims

1. A method for repairing one or more cosmetic defects of a vehicle of a customer, said method comprising the steps of:

(A) entering vehicle identification data of the vehicle into a computing device to retrieve vehicle data from a vehicle database accessible from the computing device based on the vehicle identification data;

(B) obtaining individual damage data of said cosmetic defects;

(C) entering the individual damage data into the computing device;

(D) obtaining individual repair data from the computing device based on the individual damage data and the vehicle data;

(E) generating individual cost data from the computing device based on the individual damage data and the individual repair data;

(F) generating a repair selection by specifying whether each of said defects is to be repaired;

(G) generating a repair estimate from the computing device based on the individual damage data, the individual cost data and the repair selection; and

(H) repairing said cosmetic defects based on the repair data and the repair selection.

2. The method of claim 1, wherein said vehicle identification data are selected from a vehicle identification number (VIN) of the vehicle, part of the VIN, a manufacturer of the vehicle, a manufacturer plant site of the vehicle, model and model year of the vehicle, paint color code, or a combination thereof.

3. The method of claim 2, wherein at least one of said cosmetic defects is a coating defect of the vehicle and wherein said individual repair data comprises one or more matching formulas for repairing said coating defect.

4. The method of claim 3, wherein the individual damage data of said coating defect is obtained by a process comprises the steps of (1) obtaining color data of the coating of the vehicle;

and (2) optionally, obtaining appearance data of the coating of the vehicle.

5. The method of claim 4, wherein the color data is obtained from a color measuring device, retrieved from a color database based on the vehicle data, or a combination thereof.

6. The method of claim 4, wherein the appearance data is obtained from an appearance measuring device, retrieved from an appearance database based the vehicle data, or a combination thereof.

7. The method of claim 3, wherein said one or more matching formulas are obtained by a process comprising the steps of:

(i) comparing the appearance data with appearance characteristics of known effect pigments stored in an effect pigments database;

(ii) selecting from said effect pigments database, one or more matching effect pigments, effect pigments combinations or effect pigments ratios that have appearance characteristics matching said appearance data;

(iii) comparing said color data with color characteristics of one or more colorant combinations of known colorants stored in a colorant database to select from said colorant database, one or more colorant combinations that have color characteristics matching said color data;

(iv) determining colorant concentrations of each said known colorant of said colorant combinations and said effect pigments concentrations of each of the match effect pigments, the effect pigments combinations or the effect pigments ratios;

(v) producing one or more preliminary refinish matching formulas according to said colorant concentrations and said effect pigments concentrations, wherein match coatings resulted from said matching formulas have color characteristics matching the color data and appearance characteristics matching the appearance data;

(vi) generating and displaying matching images based on said preliminary matching refinish formulas;

(vii) optionally, generating and displaying one or more target images based on said color data and said appearance data, or based on the vehicle data and the appearance data; and

(viii) selecting said one or more matching formulas from said preliminary matching refinish formulas by comparing said matching images and the coating of the vehicle, or by comparing said matching images and said target images.

8. The method of claim 3, wherein said one or more matching formulas are obtained by a process comprising the steps of:

(i) comparing said color data with color characteristics of known refinish formulas in a refinish formula database comprising interrelated refinish formulas, identification data of vehicles, color characteristics, and optionally appearance characteristics;

(ii) comparing the appearance data with appearance characteristics of known refinish formulas in the refinish formula database if the coating comprises effect pigments;

(iii) selecting from said refinish formula database, one or more preliminary matching refinish formulas that have color characteristics matching said color data and optionally, appearance characteristics matching said appearance data; and

(iv) generating and displaying matching images based on said preliminary matching refinish formulas;

(v) optionally, generating and displaying one or more target images based on said color data and said appearance data, the vehicle identification data and the appearance data, or the vehicle identification data and the color data;

(vi) selecting said one or more matching formulas from said preliminary matching refinish formulas by comparing said matching images and the coating of the vehicle, or by comparing said matching images and said target images.

9. The method of claim 3, wherein said one or more matching formulas are obtained by a process comprising the steps of:

(i) retrieving one or more preliminary matching formulas from a refinish formula database that match the vehicle identification data, said refinish formula database comprises interrelated refinish formulas, identification data of vehicles, color characteristics, and optionally appearance characteristics;

(ii) generating and displaying matching images based on said preliminary matching refinish formulas;

(iii) optionally, generating and displaying one or more target images based on said color data and said appearance data, the vehicle identification data and the appearance data, or the vehicle identification data and the color data; and

(iv) selecting said one or more matching formulas from said preliminary matching refinish formulas by comparing said matching images and the coating of the vehicle, or by comparing said matching images and said target images.

10. The method of claim 7, 8 or 9, wherein each of said matching images or said target images is displayed as a realistic image.

11. The method of claim 3, wherein said vehicle identification data comprises the paint color code and manufacturing information extracted from the VIN, wherein said manufacturing information is selected from make, model, model year, site of manufacture, production sequence of the vehicle, or a combination thereof, wherein said one or more matching formulas are obtained by a process comprising the steps of:

(i) retrieving one or more preliminary matching formulas from a refinish formula database that match the vehicle identification data, said refinish formula database comprises interrelated refinish formulas, identification data of vehicles, color characteristics, and optionally appearance characteristics;

(ii) generating and displaying individual matching images based on the color characteristics, and optionally the appearance characteristics, interrelated to each of the preliminary matching formulas; and

(iii) selecting said one or more matching formulas from said preliminary matching refinish formulas by comparing said matching images and the coating of the vehicle.

12. The method of claim 1 further comprising the steps of:

(I) scheduling a repair time for repairing at least one defect specified in the repair selection;

(J) optionally, entering data of the customer into said computing device; and

(K) optionally, optimizing said one or more matching formulas.

13. A method for repairing one or more cosmetic defects of an article of a customer, said method comprising the steps of:

(A) entering article identification data of the article into a computing device;

(B) obtaining individual damage data of said cosmetic defects;

(C) entering the individual damage data into the computing device;

(D) obtaining individual repair data from an article database accessible from the computing device based on the individual damage data and the article identification data;

(E) generating individual cost data from the computing device based on the individual damage data and the individual repair data;

(F) generating a repair selection by specifying whether each of said defects is to be repaired;

(G) generating a repair estimate from the computing device based on the individual damage data, the individual cost data and the repair selection; and

(H) repairing said cosmetic defects based on the repair data and the repair selection.

14. A system for repairing one or more cosmetic defects of a vehicle of a customer, said system comprising:

(A) a computing device comprising a memory member;

(B) at least one data input device and at least one data output device, wherein said data input and output devices are functionally coupled to said computing device;

(C) at least one display device functionally coupled to said computing device;

(D) one or more databases accessible from said computing device;

(E) a color measuring device, and optionally, an appearance measuring device; and

(F) a computing program product operatively residing in said memory member that causes the computing device to perform a computing process comprising the steps of;

(1) receiving vehicle identification data of the vehicle from the data input device;

(2) retrieving vehicle data from a vehicle database accessible from the computing device based on the vehicle identification data;

(3) receiving individual damage data of said cosmetic defects;

(4) generating individual repair data based on the individual damage data and the vehicle data;

(5) retrieving individual cost data based on the individual damage data and the individual repair data;

(6) generating a repair selection by displaying a repair selection question and receiving repair selection input to said repair selection question specifying whether each of said defects is to be repaired;

(7) generating a repair estimate based on the individual damage data, the individual cost data and the repair selection;

(8) optionally, generating a repair schedule for repairing at least one defect specified in the repair selection input; and

(9) outputting the repair data, the repair estimate, or a combination thereof.

15. The system of claim 14, wherein said computing device is a portable computing device.

16. The system of claim 14 further comprising a host computer functionally coupled to the computing device via wired or wireless connections.

17. The system of claim 14, wherein said color measuring device is selected from a colorimeter, a spectrophotometer, or a goniospectrophotometer.

18. The system of claim 14, wherein said appearance measuring device comprises an imaging device.

19. The system of claim 14, wherein said computing device and said color measuring device, and optionally the appearance measuring device, are integrated as one portable device.

20. The system of claim 14, wherein said data input device is selected from a digital input device, an optical input device, an electromagnetic input device, or a combination thereof.

21. The system of claim 14, wherein said display device is selected from a digital display device, an optical display device, a print display device, or a combination thereof.

22. The system of claim 14, wherein said output device is digital display device, an optical display device, a print display device, or a combination thereof.

23. The system of claim 14, wherein the display device is part of the computing device, part of the color measuring device or part of the appearance measuring device.

24. The system of claim 14, wherein said color measuring device or said appearance measuring device is portable.

25. The system of claim 14, wherein said color measuring device and said appearance measuring device are integrated as one device.