COLOR MANAGEMENT AND SOLUTION DISTRIBUTION SYSTEM AND METHOD
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] The present application is a continuation-in-part application of U.S. Patent
Application Serial No. 09/874,700, (BASF DOCKET NO. LN-5457), filed June 5, 2001.
BACKGROUND OF THE INVENTION
1. Field of the Invention
[0002] The present invention relates generally to color matching, and more particularly, to
a method and system for providing a color matching solution.
2. Description of the Related Art
[0003] Modern vehicles, such as automobiles, typically are offered to consumers in a wide
variety of paint colors. In fact, from model year to model year, it is not uncommon for a
particular vehicle model to be available in several new paint colors. Actual paint color may vary depending on any number of factors, such as variations in the paint application process.
Consequently, when a vehicle's body panels are damaged and require repairs (including
repainting), the paint manufacturer supplies one or more paint formulations for the original
paint color to customers, such as repair shops.
[0004] By supplying a plurality of formulations or variances for a particular color, the paint manufacturer accounts for those factors which affect the actual color. Typically, the
formulations for a particular color are distributed to repair shops, i.e., "bump" shops, on
paper, microfiche, and/or compact disks (CD). A color tool, composed of swatches of the
variances for each color may also be produced and delivered to each customer.
[0005] Furthermore, the customer must select which formulation most closely matches
that part to be painted. This is typically done visually, i.e., by comparing swatches to the
part or spraying a test piece with each formulation.
[0006] Different formulations are derived from actual data gathered by inspectors at various locations, e.g., the automobile manufacturer or vehicle distribution point. The
inspectors take color measurement readings from new automobiles which have a particular
paint color. These readings are used to develop color solutions, i.e., different paint
formulations for the same color.
[0007] There are several disadvantages to the present method of distributing color
solutions in this manner. One disadvantage is the cost. A copy of the paper or CD listing of
all of the solutions for each color must be printed and sent to each customer, i.e., repair shop.
Furthermore, new formulations are periodically developed. The new formulations and any other corrections must be sent to each customer. It is a time consuming and a laborious
process to make sure every customer has the most up to date formulations.
[0008] Further, many automobiles have auxiliary paint colors. Auxiliary paint colors may
be used on various parts of the interior or the exterior of the automobile, for example, trim,
molding, cladding, lower two tone colors, wheel covers, bumpers, stripes, or parts within the passenger compartment. Identifying an auxiliarypaint color may be difficult, since auxiliary
colors are not typically listed on the vehicle identification plate (located on the vehicle).
Additionally, as a result of the many different application areas used on recent automobiles,
it is often difficult to unambiguously describe the area of interest.
[0009] The present invention is aimed at one or more of the problems identified above.
. SUMMARY OF THE INVENTION
[0010] In one aspect of the present invention, a computer system for providing a color solution for an auxiliary color of a portion of a motor vehicle to be repaired, is provided. The computer system includes a first module located at a remote location and a second module coupled to the first module. The first module is adapted to receive a solution request from an operator. The solution request includes an identification of the motor vehicle to be repaired, a main body color, and the portion of the motor vehicle to be repaired. The second module includes a composite solution database and a search routine coupled to the composite solution database. The second module is adapted to receive the solution request from the first module. The search routine is adapted to search the composite solution database and to determine the color solution as a function of the solution request. [0011] In another aspect of the present invention, a computer based method forproviding a color solution for an auxiliary color of a portion of a motor vehicle to be repaired is provided. The method includes the steps of receiving a solution request from an operator located at a remote location and delivering the solution request from the remote location to a central location over the computer network. The solution request includes an identification of the motor vehicle to be repaired, a main body color, and the portion of the motor vehicle to be repaired. The method also includes the step of searching a composite solution database and determining the color solution as a function of the solution request.
BRIEF DESCRIPTION OF THE DRAWINGS
[0012] Other advantages of the present invention will be readily appreciated as the same
becomes better understood by reference to the following detailed description when considered in connection with the accompanying drawings wherein:
[0013] Fig. 1 is a block diagram of a color management and solution distribution system,
according to an embodiment of the present invention;
[0014] Fig. 2 is a flow diagram of a color management and solution distribution method, according to an embodiment of the present invention;
[0015] Fig. 3 is a block diagram of a color management and solution distribution system, according to another embodiment of the present invention;
[0016] Figure 4 is a flow diagram of a color management and solution distribution
method, according to another embodiment of the present invention;
[0017] Fig. 5 is a flow diagram of a method for determining an auxiliary color solution, according to an embodiment of the present invention;
[0018] Fig. 6 is a diagrammatical illustration of a portion of a customer interface,
according to an embodiment of the present invention;
[0019] Fig. 7 is a diagrammatical illustration of a portion of a customer interface,
according to another embodiment of the present invention; and,
[0020] Fig. 8 is a diagrammatic illustration of a portion of a customer interface, according
to still another embodiment of the present invention.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT [0021] 1. Overview.
[0022] Referring to the Figs., wherein like numerals indicate like or corresponding parts
throughout the several views, a computer system 100 for managing and providing color
solutions, such as paint, pigments or dye formulations, is provided.
[0023] With particular reference to Fig. 1 , in a first embodiment, the system 100 includes
a first module 102 located at a remote location 104, such as a customer site. Preferably, the
first module 102 is implemented on a computer (not shown), such as a personal computer or
wireless computing device. The first module 102 is adapted to be operated by a user or
operator 106, i.e., the customer. The operator 106 inputs a solution request to the first
module 102. The solution request includes a paint identifier (or color code) which identifies
the paint color of a subject part 108, such as an automobile body part and color
measurements from a color measurement device 110.
[0024] The color measurement device 110 is used to provide color measurements, i.e., an
indication of the actual color of the subject part 108 to be painted. Preferably, the color
measurement device 110 is a spectrophotometer such as is available from X-Rite,
Incorporated of Grandville, MI as model no. MA58. Alternatively, the color measurement
device 110 may be a spherical geometry color measuring device, a digital camera or other suitable device.
[0025] The first module 102 is coupled to a second computer based module 112 located at
a central location 114, such as the paint manufacturer's facility. The first and second
computer based modules 102, 112 are coupled across a computer network 116. In the preferred embodiment, the computer network 116 is the internet.
[0026] The second module 112 receives the solution request from the operator 106 via the
first module 102 and the computer network 116. The second module 112 includes a
composite solution database 118 and a search engine or routine 120. The search routine 120
is adapted to search the composite solution database 118 and determine a paint color
solution as a function of the solution request.
[0027] With reference to Fig. 2, a computer based method for providing paint color
solutions to a customer will now be explained. In a first control block 202, the solution
request from the operator 106 located at the remote location 104 is received. In a second
control block 204, the solution request is delivered over the computer network 116 from the
remote location 104 to the central location 104. hi a third control block 206, the composite
solution database 118 is searched and a paint color solution is determined as a function of
the solution request.
[0028] With particular reference to Fig. 3, in a second embodiment, a system 300 for
managing and providing color solutions is provided. The system 300 includes three
databases: the composite solution database 118, a color measurement database 302, and a
customer and solution usage database 304.
[0029] A customer interface 306 is implemented on the first module 102 located at the
remote location 104. The customer interface 306 allows the operator 106 to log on to the
system, communicate with the system 100,300, e.g., to request color solutions, and to
receive color solutions from the system 100,300. The customer interface 306 is graphical in nature, and, preferably, is accessed through a generic world wide web (WWW) browser,
such as Microsoft™ Internet Explorer, available from Microsoft of Redmond, Washington.
[0030] The customer interface 306 may be implemented in hyper text markup language (HTML), the JAVA language, and may include JavaScript. The system 300 also includes
several processes: a solution creation process 308, a quality control process 310, a formula
conversion process 312, a variant determination process 314, and a derived tolerance process 316. Each of the databases 118, 302, 304 and the processes 308,310, 312, 314, 316 will be explained further below.
[0031] With reference to Figs. 3 and 4, basic operation of the system 300 will now be discussed. In a fourth process block 402, the operator 106 measures the color of the part 108, which needs to be painted, using the color measuring device 110. As stated above, the color measuring device 110 may be a spectrophotometer, a digital camera or other suitable device. Preferably, the color measuring device 110 is a spectrophotometer which measures reflective values. The color measurements of the part 108 are taken at multiple angles using industry known methods.
[0032] In a fifth process block 404, the color measurement data along with other identifying data (collectively known as a solution request) are transmitted over the computer network 116 to the central location 114. The identifying data includes at least a paint color code which represents the original color of the part 108. Preferably, the identifying data includes a customer identification number or identifier, vehicle information (make, model, model year), color code and desired paintline. Paintline refers to different types of paint available from the manufacturer, which typically balance product features and cost. [0033] In a first decision block 406, the solution request is analyzed by the quality control analysis process 310 to ensure that the data contained in the solution request is accurate. For example, the quality control analysis process 310 compares the given color code with the color measurements to make sure that it is the right color. In another example, the color code and vehicle data are compared to make sure that the color was available on the particular model. If the solution request is inconsistent, the inconsistencies are reported to
the operator 106 in a sixth process block 408. The operator 106 is requested to make
corrections through the customer interface 306.
[0034] Once the solution request has been approved by the quality control analysis process
310, control proceeds to a seventh process block 410. In the seventh process block 410, the
search routine 120 searches the composite solution database 118 for a color solution
(formulation) which most closely matches the solution request. The search routine 120
compares the color solution with tolerances determined by the derived tolerance process 316
(see below).
[0035] In a second decision block 410, if the color solution is within the tolerances, than the color solution is sent to the operator 106 at the remote location 104 in a eighth process
block 414. If the color solution is not within the given tolerances, than control proceeds to a
third decision block 416. In the third decision block 416, the solution creation process 308
attempts to adjust the solution to be within tolerances and/or creates a new solution. If the
color solution can successfully adjust the solution or create a new solution, the new solution
is sent to the operator 106. Otherwise, the operator 106 is informed that no solution is feasible in a ninth process block 418.
[0036] 2. Databases
[0037] As discussed above, the system 100,300 includes several databases containing
information used in and generated by the various processes 120, 304, 306, 308, 310, 312,
314, 316. The use and content of each of these databases are described below.
[0038] A. Composite Solution Database 118
[0039] The composite solution database 118 is the main database of the system 100,300
and contains all current formulations or variants for each paint color.
[0040] For example, the paint or color code "4M9" may have multiple formulations
contained in the database 118. The composite solution database 118 is coupled to the search
routine 120, the solution creation process 308, the quality control analysis process 310, and
the customer and solution usage database 304.
[0041] For each formulation, the composite solution database 118 contains measurement
data in the form of color values. Color values refer to color attributes used to quantify color.
Examples include, but are not limited to, reflectance values, tristimulus values, and color
space values. One example of color space values are defined by L*a*b*, where L*
represents luminous intensity, a* represents a red/green appearance, b* represents a
yellow/blue appearance. Another example of color space values are defined by L*, C*, h,
where L* represents lightness, C* represents chroma, and h represents hue. The color values
(L*, a*, and b* or L*, C*, and h) at various angles are obtained using a color measurement
device.
[0042] B. Color Measurement Database 302
[0043] The color measurement database 302 includes all valid field measurements (color
values) for a particular paint color (color code). Preferably, the color measurements
included in the database 302 for a particular color code includes all measurements taken by
inspectors and all valid measurements received by the system 100,300 from customers. The
color measurement data contained in the database 302 is used by the various processes 120,308,310,312,314,316 of the system 100,300.
[0044] C. Customer and Solution Usage Database
[0045] The customer and solution usage database 304 contains customer and solution
request data gathered by the system 100,300. For example, the customer and solution usage
database may contain information regarding a particular customer, how many times the
customer has used the system and what solutions he has requested. This data may be used to
assist in planning for the future in terms of paint color trends and material requirements
based on the requested paint solutions.
[0046] 3. Methods
[0047] A. Search Routine 120
[0048] As stated above, the search routine 120 is used to search the composite solution
database 118 and determine a paint color solution as a function of the solution request.
Given the color code or paint identifier (as part of the solution request), the corresponding
formulations and associated color values are retrieved from the composite solution database
118.
[0049] Using tolerances received from the derived tolerances process 316 (see below), the
formulations may be compared with the color measurements received from the operator 106 in the variant determination process 314 (see below). If a match is found, then the solution
is sent to the operator 106 via the customer interface 306. If no match is found, then the
solution creation process 308 (see below) attempts to derive a new formulation or adjust an
existing formulation. If an acceptable solution is derived, then the derived solution is sent to the operator 106 via the customer interface 306. Otherwise, the operator 106 is informed that no solution exists.
[0050] B. Derived Tolerances Process 316
[0051] Acceptable tolerances vary depending on the color. Tolerances are expressed in
differential color values, e.g., ΔL*, ΔC*, ΔH*. The differential values will vary as a function
of the color. Historically, these values have been determined manually, i.e., by visual
evaluation. The tolerances for that formulation are determined as a function of all of the
color measurement values which have been deemed acceptable (usually by visible methods).
[0052] In the present invention, the derived tolerances process 316 is embodied in a neural
network. The neural network is trained using the color values (L*,C*,h) for each
formulation of each color and the differential color values from all acceptable
measurements.
[0053] When a proposed color solution has been chosen by the search routine 120, the
color values of the solution from the composite solution database 118 and the color
measurement data taken from the subject part 108 form the input to the neural network. The
output of the neural network is whether or not the color solution is acceptable. Preferably,
the neural network is a feed-forward, back propagation neural network. One such neural network is disclosed in commonly assigned US Patent Application Serial No. 09/874,699
(BASF Docket: LN-5458; Attorney Docket No. 65,241-008), filed June 5, 2001, which is
hereby incorporated by reference.
[0054] C. Quality Control Analysis 310
[0055] As stated above, the quality control analysis process 310 ensures that the data
contained in the solution request is accurate, h other words, the solution request is analyzed for inconsistencies.
[0056] D. Solution Creation Process 308
[0057] The solution creation process 308 attempts to either create a new solution given the customer's color measurement value or adjust an existing formulation contained in the composite solution database 118 using artificial intelligence methods. One such system is
described in commonly assigned and pending US Patent Applications Serial Nos.
09/779,101 filed February 7, 2001 (BASF Docket: IN-5393A) and 09/778,819 filed
February 7, 2001 (BASF Docket: IN-5393B), both of which are incorporated herein by reference.
[0058] E. Formula Conversion Process 312
[0059] The formula conversion process 312 is utilized to convert paint formulations between various paint lines. Said process can be used to create needed solutions or starting points for the solution creation process 308. The formula conversion process 312 maybe embodied in an artificial neural network.
[0060] One such process is disclosed in commonly assigned US Patent Application Serial
No. 09/874,698 (BASF Docket: IN-5392; Attorney Docket No. 65,241-015), filed June 5,
2001 which is hereby incorporated by reference.
[0061] F. Variant Determination Process 308
[0062] The variant determination process 308 may be used to select from the plurality of color solutions contained in the composite solution database 118 for a particular color code.
[0063] The measurements received from the customer do not necessarily need to go through the variant determination process before being delivered to the customer. The variant determination process is run after the customer's initial need is met, i.e., the customer receives a solution. The variant determination is a cluster analysis of the measurements. There are several reasons for performing this analysis including the following:
[0064] 1) to determine if new solutions are needed;
[0065] 2) decide what solutions should be published;
[0066] 3) select targets for inclusion in color tools; and/or
[0067] 4) trend analysis.
[0068] The variant determination process 308 compares the formulations with the color
measurements of the part 108. Preferably, the variant determination process is accomplished
using artificial intelligence techniques. In the preferred embodiment, the variant
determination process include a self-organizing map (SOM) neural network (not shown).
[0069] One such process is disclosed in commonly assigned US Patent Application Serial
No. 09/874,697 (BASF Docket: LN-5459; Attorney Docket No. 65,241-009), filed June 5,
2001, which is hereby incorporated by reference.
[0070] 4. Auxiliary Color Solutions
[0071] With reference to Figs. 5-8, in another aspect of the present invention, the
computer system 100 is adapted to provide a color solution for an auxiliary color of a portion
of a motor vehicle to be repaired. As described above, the computer system 100 includes a
first module 102 and a second module 106.
[0072] In one embodiment, the first module 102 is located at a remote location and the
second module 106 is located at a central location. In a second embodiment, the first and
second modules 102, 106 are located at a user workstation, e.g., the software is distributed
on compact disc (CD).
[0073] The first module 102 is adapted to receive a solution request from the operator 106. In one embodiment, the solution request includes an identification of the motor vehicle to
be repaired, a main body color, and the portion of the motor vehicle to be repaired. As described above, the second module 112 is coupled to the first module 102 and is located at a central location 114.
[0074] Auxiliary colors may include, but are not limited to:
[0075] accent colors, e.g., bumper, Cladding, Lower Two Tone, Molding;
[0076] accessory colors, e.g., Accessories, Chassis, Grille, Light Bezel;
[0077] interior colors;
[0078] primer colors;
[0079] roof colors, e.g., fiberglass, Hardtop, Vinyl;
[0080] stripe colors;
[0081] underhood colors, e.g., Engine, Trunk, Underhood; and,
[0082] wheel colors, e.g., wheels, Wheel Covers.
[0083] The second module 106 includes the composite solution database 118 and the
search routine 120 coupled to the composite solution database 118, as described above. The
second module 106 is adapted to receive the solution request from the first module 102. The
search routine 120 is adapted to search the composite solution database and determine the color solution for the auxiliary color as a function of the solution request.
[0084] With reference to Fig. 5, in another aspect of the present a computer based method
500 for providing a color solution for an auxiliary color of a portion of a motor vehicle to be
repaired is provided. In a tenth process block 502, a solution request is received from the operator 106 at a remote location 104.
[0085] In one embodiment, the solution request includes an identification of the motor
vehicle to be repaired, a main body color, and the portion of the motor vehicle to be repaired.
hi another embodiment, the solution request may include one of the colors on the vehicle, e.g., the body color. The color maybe identified by a color code, a color standard number of
a reading from a color measurement device. In still another embodiment, the identification
of the motor vehicle may include a special edition, e.g., an Eddie Bauer edition. This maybe
accomplished by either the user entering the special edition or if the user has identified a
vehicle which has a special edition, displaying a button or a pop-up menu which allows the
user to select the special edition.
[0086] In an eleventh process block 504, the solution request is delivered from the remote
location 104 to a central location 114 over a computer network 116. In a twelfth process
block 506, the composite solution database 118 is searched to determine the color solution
as a function of the solution request.
[0087] In one embodiment, the customer interface 306 is adapted to allow the operator 106
to enter the solution request. For example, in a first embodiment the identification of the
motor vehicle being repaired includes a make, a model, and a model year.
[0088] With reference to Fig. 6, in one embodiment, the customer interface 306 includes a
Make drop down list 602, a Model drop down list 604, and a Model Year drop down list
606. The customer interface 306 is adapted to populate the drop down lists 602, 604, 606
based on selected items in the other drop down lists. For example, the choices available on
the Model drop down list 604 are based on the selected Manufacturer (i.e., Make) in the
Make drop down list 602. Likewise, the Model Year drop down list 606 is populated based
on the selections in the Make and the Model drop down lists 602, 604. Alternatively, the
customer interface 306 may provide other mechanisms for the operator 106 to select the
make, model, and the model year of the motor vehicle.
[0089] The customer interface 306 also allows the operator 106 to select the main body color of the motor vehicle being repaired. In the illustrated embodiment, the customer interface 306 includes a Body Color drop down list 608. h a similar manner as described
above, the Body Color drop down list 608 is populated based on the selections in the Make
drop down list 602, the Model drop down list 604, and the Model drop down list 606.
[0090] hi one embodiment, the customer interface 306 includes a graphical representation
610 of the motor vehicle being repaired. In a first embodiment of the present invention the graphical representation 610 is three dimensional and may be rotated. The view of the
graphical representation may also be enlarged or reduced, hi one embodiment, the graphical
representation 610 is implemented using a Virtual Reality Modeling language (VRML).
[0091] The graphical representation 610 includes the body of the motor vehicle 612, as
well as the auxiliary portions of the motor vehicle for which paint color solutions exist.
Examples of such auxiliary portions include trim or molding 614, wheel covers 616,
bumpers 618, stripes 620, roofs or vinyl roofs 622, and parts within a passenger
compartment 624 of the motor vehicle.
[0092] In one embodiment, the graphical representation 610 includes (or displays) the main body color and a color associated with at least one auxiliary part of the motor vehicle.
[0093] In a first embodiment, the customer interface 306 allows the operator 106 to select
the portion of the motor vehicle through interaction with the graphical representation 610 of
the motor vehicle. For example, once the make, model, and model year of the motor vehicle
to be repaired are selected by the operator 106, the selected motor vehicle is represented by
the graphical representation 610. Once the main body color is selected, the body 612 of the
graphical representation 610 is displayed with the main body color. For the selected main
body color, different portions of the motor vehicle may have a plurality of colors available,
hi order to select the correct color, the operator may "click" on the correspond portion of the graphical representation. In the first embodiment, clicking on the corresponding portion will
cycle through the available paint colors for that portion of the motor vehicle. As the
available colors are cycled, the corresponding portion of the graphical representation 610
will be displayed in the selected color.
[0094] With reference to Fig. 7, in another embodiment the customer interface 306 allows
the operator 106 to select the portion of the motor vehicle from a list, e.g., an Auxiliary
Portion drop down list 702. Once the auxiliary portion of the motor vehicle to be repaired is
selected, an Auxiliary Portion Color drop down list 704 is populated with the available
colors. Once a color is selected in the Auxiliary Portion Color drop down list 704 it may be
displayed either on the graphical representation 610 or in a color sample 706 displayed in the
customer interface.
[0095] In another embodiment, as illustrated in Fig. 8, the customer interface 306 displays
the auxiliary color in a color sample 802 associated with the portion of the motor vehicle
being repaired. A color sample 802A, 802B, 802C, 802D may be displayed in the customer
interface 306 for each portion of the motor vehicle for which a paint color solution exists.
For example, as shown, color samples 802A, 802B, 802C, 802D are displayed for the
bumper, trim, roof, and wheel covers, hi one embodiment, the operator 106 may cycle
through available paint colors for a portion of the motor vehicle being repaired by clicking
on the portion of the motor vehicle being repaired within the graphical representation of the
motor vehicle. Alternatively, or in addition, the operator 106 may cycle through available
paint colors by clicking on the respective color sample 802A, 802B, 802C, 802D.
[0096] It should be noted that, although, the customer interface 306 has been described
with particular elements, i.e., drop down lists and/or color samples, the present invention
may be implemented using other components without departing from the spirit of the
invention.
[0097] In another aspect of the present invention, the customer interface 306 is adapted to
display information regarding each color (on a respective part), e.g., the color name, type,
standard number and color code for each color. In one embodiment, the information
regarding each color may be displayed in a pop-up displayed when the user right-clicks on
the respective part.
[0098] Once the correct color for the part or parts being repaired are identified by the
operator 106 using the customer interface 306, the solution request may be submitted to the
second module 112. As described above, the second module 112 searches the composite solution database 118 for the corresponding color solution and returns the color solution to
the operator 106 through the first module 102.