Color design support device, color design support method, program, method for creating paint composition, and method for manufacturing paint

The color design support device addresses the challenge of measuring color design value by estimating suitable color candidates using object and user attributes, enhancing color selection processes.

JP2025136732AActive Publication Date: 2025-09-19KANSAI PAINT CO LTD
View PDF 4 Cites 0 Cited by

Patent Information

Application Number
JP2024035544
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-03-08
Publication Date
2025-09-19
Estimated Expiration
2044-03-08

AI Technical Summary

Technical Problem

The value of color design in vehicles is difficult to measure without professional designer input, making it challenging to support color design effectively.

Method used

A color design support device that estimates color candidates based on object and user attribute information, using a control unit to output suitable color options, and includes a hardware configuration with a processor, memory, and interface units for information acquisition and candidate estimation.

Benefits of technology

Enables effective color design support by estimating color candidates based on user and object attributes, facilitating informed decision-making in color selection.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure 2025136732000001_ABST
    Figure 2025136732000001_ABST
Patent Text Reader

Abstract

To provide a technology for supporting a color design.SOLUTION: Provided is a color design support device including: a control unit that, based on target attribute information indicating an attribute of a color design target and user attribute information indicating an attribute of a user who uses the color design target, executes color candidate estimation processing to estimate candidates for colors that may be determined to be used by the color design; and an output unit that outputs the candidates estimated by the color candidate estimation processing.SELECTED DRAWING: Figure 1
Need to check novelty before this filing date? Find Prior Art

Description

[Technical Field]

[0001] The present invention relates to a color design support device, a color design support method, a program, a paint blend creation method, and a paint manufacturing method. [Background technology]

[0002] When designing the color of an automobile or other vehicle, the design value of the color is taken into consideration. The value of color design is usually measured by the designer's sense and know-how. However, the value of a design cannot be measured easily without the help of a professional designer. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2004-118444 Summary of the Invention [Problem to be solved by the invention]

[0004] An object of the present invention is to provide a technique for supporting color design. [Means for solving the problem]

[0005] One aspect of the present invention is a color design support device that includes a control unit that executes a color candidate estimation process to estimate color candidates that may be determined to be used in the color design based on object attribute information that indicates the attributes of a color design object and user attribute information that indicates the attributes of a user who will use the color design object, and an output unit that outputs the candidates estimated by the color candidate estimation process. [Effects of the Invention]

[0006] According to the present invention, it is possible to provide a technique for supporting color design. [Brief explanation of the drawings]

[0007] [Figure 1] FIG. 1 is an explanatory diagram illustrating an overview of a color design support device according to a first embodiment. [Figure 2] FIG. 10 is a diagram illustrating processing by a color design support device. [Figure 3] FIG. 10 is a diagram illustrating an example of object-dependent preference information. [Figure 4] FIG. 10 is a diagram showing an example of user-dependent preference information. [Figure 5] FIG. 1 is a diagram illustrating an example of a hardware configuration of a color design support apparatus according to an embodiment. [Figure 6] 1 is a flowchart illustrating an example of a flow of a process executed by a color design support device according to an embodiment. [Figure 7] 1 is an example of a display by the color design support device of the first embodiment. [Figure 8] 10 is an example of a display by the color design support device according to the second embodiment. [Figure 9] 1 is a diagram showing a paint blend preparation device and a paint manufacturing device. DETAILED DESCRIPTION OF THE INVENTION

[0008] (First embodiment) (Color design support device) Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. 1 is an explanatory diagram illustrating an overview of a color design support device 10 according to a first embodiment. The color design support device 10 includes a control unit 11 including a processor 91, such as a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), or an NPU (Neural Network Processing Unit), and a memory 92, which are connected via a bus.

[0009] The control unit 11 executes, for example, an information acquisition process and a color candidate estimation process.

[0010] (Information acquisition processing) The information acquisition process is a process for acquiring information used in the color candidate estimation process. The information acquired by the information acquisition process includes object attribute information indicating the attributes of the color design object and user attribute information indicating the attributes of the user who will use the color design object. The object of color design is not particularly limited, and examples include automobiles, automobile parts, motorcycles, railroad cars, home appliances, information terminals, and buildings, with automobiles being particularly suitable. When the object of color design is an automobile, an attribute of the object of color design is, for example, the body type of the automobile. Examples of the body type of the automobile include SUV, sedan, sports car, compact car, luxury car, and family car. When the object of color design is an automobile, the user who uses the object of color design is the user of the automobile. The user attributes include, for example, at least one of the country where the user uses the color design object, the user's gender, and the user's age. In the present invention, the number of users who use the color design target is usually multiple, preferably 100 or more, and more preferably 1000 or more. Therefore, the user attribute information is attribute information of multiple people, not of an individual.

[0011] (Color candidate estimation process) The color candidate estimation process is a process for estimating color candidates (hereinafter referred to as "color candidates") that may be determined to be used in the color design of a color design target. The color candidates are, for example, colors that are suitable as colors for the color design target. The color candidate estimation process is a process for estimating color candidates based on object attribute information and user attribute information. FIG. 2 is a diagram showing processing by the color design support device 10. The color design support device 10 acquires object attribute information and user attribute information, and estimates color candidates based on the object attribute information and user attribute information. A color is, for example, a combination of a hue and a brilliance level. The brilliance level is an index that indicates differences in brilliance.

[0012] The color candidate estimation process estimates color candidates based on, for example, object attribute information, information indicating the relationship between the attributes of the color design object and the colors of the color design object, user attribute information, and information indicating the relationship between the user's attributes and the colors of the color design object. The information indicating the relationship between the attributes of the color design object and the colors of the color design object is, for example, object-dependent preference information indicating color preferences according to the attributes of the color design object. The information indicating the relationship between the user's attributes and the colors of the color design object is user-dependent preference information indicating color preferences according to the user's attributes.

[0013] The object-dependent preference information indicates, for example, the degree to which each color is preferred for a specific color design object or its attributes. The object-dependent preference information indicates, for example, the degree of preference using a score (hereinafter referred to as an "object-dependent score"). The object-dependent score is determined, for example, by the number of colors produced, which differ depending on the attributes of the color design object or the combination of the hue and brilliance level of the color design object. In the object-dependent preference information, for example, for each attribute of the color design object, the object-dependent score of a color that has not been produced indicates the lowest value. In the object-dependent preference information, the object-dependent score may be normalized. The object-dependent score is normalized to a value between 0.8 and 1.2, for example. The value between 0.8 and 1.2 is based on the idea in social psychology that a 20% change is the limit. The subject-dependent score may be adjusted as appropriate according to the designer's taste.

[0014] FIG. 3 is a diagram showing an example of object-dependent preference information. The example shown in FIG. 3 is an example in which the color design object is an automobile vehicle, and the attribute of the color design object is the body type of the automobile vehicle in a specific country. The example shown in FIG. 3 is an example in which the body type of the automobile vehicle is a compact car. FIG. 3 shows object-dependent scores corresponding to the hue (white, gray, etc.) of the color of the body type and the brilliance level (L, M, S, T). The brilliance levels L, M, and S (with brilliance material) indicate the difference between highlight and shade, with the difference increasing in the order of L, M, and S. T indicates that the brilliance level is solid (without brilliance material). The hues in Figure 3 and Figure 4 (described later) are examples, but in the case of red, for example, they can be further divided into dark colors, pale colors (thin, pale colors close to white), and medium colors (between dark and pale colors). The luster pigment refers to a scaly or plate-like pigment that imparts a sparkling brilliance or optical interference to the coating film. Examples of the luster pigment include scaly aluminum, vapor-deposited aluminum, aluminum oxide, oxybismuth chloride, mica, titanium oxide-coated mica, iron oxide-coated mica, micaceous iron oxide, titanium oxide-coated silica, titanium oxide-coated alumina, iron oxide-coated silica, iron oxide-coated alumina, glass flakes, colored glass flakes, vapor-deposited glass flakes, and hologram films.

[0015] The object-dependent score is determined by the number of colors produced for each automobile vehicle. In the example shown in FIG. 3, the object-dependent score is set to the minimum value of 0.8 if the color is not in the color lineup, and is set to a value between 1.0 and 1.2 if the color is in the color lineup based on the number of colors produced. In the example shown in FIG. 3, the production numbers are normalized so that the object-dependent score of the color of an automobile vehicle with a color lineup and the lowest number of colors produced is 1.0, and the object-dependent score of the color of an automobile vehicle with the highest number of colors produced is 1.2.

[0016] The user-dependent preference information indicates, for example, the degree to which a color of the color design target is preferred by a user of the attribute indicated by the user attribute information for a specified attribute. The user-dependent preference information indicates, for example, the degree to which the color is preferred by the user using a score (hereinafter referred to as a "user-dependent score"). The user-dependent score is determined, for example, by a color preference survey by country, age, or gender. A user-dependent score not determined by a preference survey may be determined artificially based on the user-dependent scores of related colors or the designer's intuition. In the user-dependent preference information, the user-dependent score may be normalized. The user-dependent score is normalized to a value between 0.8 and 1.2, for example, for the same reasons as the target score.

[0017] Fig. 4 is a diagram showing an example of user-dependent preference information. Fig. 4 is an example showing user-dependent scores corresponding to the hue (white, gray, etc.) of a color in a specific country and the glitter level (L, M, S, T). The glitter level indicates the difference between highlight and shade, with L, M, and S (with glitter) showing the largest difference in order. T indicates that the glitter level is solid (without glitter). In the example of user-dependent scores shown in Figure 4, the user-dependent scores with a white background are scores determined by a color preference survey, while the user-dependent scores with a gray background are scores determined artificially by the designer because there were no preference survey results or the number of samples was small.

[0018] The color candidate estimation process estimates color candidates based on, for example, an object-dependent score and a user-dependent score. The color candidate estimation process estimates, for example, a color whose object-dependent score and user-dependent score are each equal to or greater than a predetermined value as a color candidate. The color candidate estimation process may estimate, for example, a color whose value calculated from the object-dependent score and user-dependent score is equal to or greater than a predetermined value as a color candidate. The value calculated from the object-dependent score and user-dependent score is, for example, an average value, a maximum value, or a minimum value.

[0019] As described above, the color design support device 10 of the first embodiment can estimate color candidates based on the object attribute information and the user attribute information. A person who designs a color can perform a color design based on the estimated color candidates.

[0020] The control unit 11 may acquire color information through information acquisition processing, and perform score calculation processing to calculate an object-dependent score and / or a user-dependent score of the color indicated by the acquired color information.

[0021] <Example of Hardware Configuration of Color Design Support Device 10> 5 is a diagram showing an example of the hardware configuration of a color design support device 10 according to an embodiment. The color design support device 10 includes a control unit 11 having a processor 91 and a memory 92 connected via a bus, and executes a program. By executing the program, the color design support device 10 functions as a device including the control unit 11, an interface unit 12, and a storage unit 13.

[0022] More specifically, the processor 91 reads out a program stored in the storage unit 13 and stores the read out program in the memory 92. The processor 91 executes the program stored in the memory 92, whereby the color design support device 10 functions as a device including the control unit 11, the interface unit 12, and the storage unit 13.

[0023] The control unit 11 controls the operation of each functional unit included in the color design support device 10. The control unit 11, for example, acquires information stored in the memory unit 13. The process of acquiring information stored in the memory unit 13 is specifically reading. The control unit 11 may, for example, output various information to the memory unit 13. The memory unit 13 records the information output to the memory unit 13. The control unit 11, for example, acquires information acquired by the interface unit 12. The control unit 11 controls, for example, the interface unit 12 to transmit the information to be transmitted to the destination.

[0024] The control unit 11 executes, for example, an information acquisition process and a color candidate estimation process.

[0025] The interface unit 12 includes a communication interface for connecting the color design support device 10 to an external device. The interface unit 12 communicates with the external device via wired or wireless communication. The external device is, for example, a device that transmits network information. The interface unit 12 acquires network information by communicating with the device that transmits the network information.

[0026] The interface unit 12 may be configured to include input devices such as a mouse, keyboard, or touch panel. The interface unit 12 may be configured as an interface that connects these input devices to the color design support device 10. In this way, the input devices of the interface unit 12 accept input of various information to the color design support device 10 via wired or wireless connections. Note that various information such as network information does not necessarily have to be input to the communication interface of the interface unit 12, but may be input to the input device of the interface unit 12. When various information is input to the input device of the interface unit 12, the interface unit 12 does not have to be configured to be able to communicate with external devices.

[0027] The interface unit 12 outputs, for example, various types of information. The interface unit 12 includes a display device such as a CRT (Cathode Ray Tube) display, a liquid crystal display, or an organic EL (Electro-Luminescence) display, and a speaker. The interface unit 12 may be configured as an interface that connects these display devices or speakers to the color design calculation device 10. Therefore, the display device and speaker included in the interface unit 12 output, for example, information input to an input device of the interface unit 12 as an image or sound.

[0028] The control unit 11 may, for example, control the operation of a display device or speaker that constitutes the interface unit 12 to output the estimated color candidates, the object-dependent score of each color, and the user-dependent score.

[0029] The storage unit 13 is configured using a computer-readable storage medium (non-transitory computer-readable recording medium) such as a magnetic hard disk drive or a semiconductor storage device. The storage unit 13 stores various information related to the color design support device 10. The storage unit 13 stores various information generated by the operation of the control unit 11, such as estimated color candidates. The storage unit 13 may exist on the cloud, for example.

[0030] 6 is a flowchart showing an example of the flow of processing executed by the color design support device 10 according to the embodiment. The control unit 11 executes an information acquisition process to acquire information used to estimate color candidates (step S11). The control unit 11 executes a color candidate estimation process to estimate color candidates (step S12). The control unit 11 outputs the color candidates to a predetermined output destination (step S13). The predetermined output destination is, for example, a display device or speaker constituting the interface unit 12.

[0031] FIG. 7 is an example of a display by the color design support device 10 of the first embodiment. The example shown in FIG. 7 shows the user-dependent score and object-dependent score of a certain color (hue) when SEDAN (sedan) is input as object attribute information and JAPAN, the country in which the user will use the color design object, is input as user attribute information. The user-dependent score and object-dependent score are judged and displayed as FINE, GOOD, or NORMAL as the value increases. The person performing color design can check the object-dependent score and user-dependent score displayed for each color (hue) and decide on a color (hue) based on the checked content.

[0032] (Second embodiment) The second embodiment will be described below. In the second embodiment, the color candidate estimation process of the control unit 11 is a process of estimating color candidates based on object attribute information, information indicating the relationship between the attributes of the color design object and the colors of the color design object, user attribute information, information indicating the relationship between the user's attributes and the colors of the color design object, and information indicating the user's trend colors for the color design object (hereinafter referred to as "trend information"). The trend information indicates the degree of similarity between the color of the color design target and the trend color. The trend information indicates different scores when the color of the color design target and the trend color are similar and when the color of the color design target and the trend color are not similar. Hereinafter, this score will be referred to as the "trend score." The trend score of a color of the color design target that is not similar to the trend color may be set to be greater than the minimum of the object-dependent score and the user-dependent score. This is because it is difficult to identify colors that are not similar to the trend color. In one example of trend information, the trend score of a color of a color design target that is similar to the trend color is set to 1.2, and the trend score of a color of a color design target that is not similar to the trend color is set to 1.0.

[0033] When the object of color design is an automobile or vehicle, the color seen from different angles may be determined as the color seen from a certain angle. The similarity between the color of the color design target and the trend color is determined, for example, by the color difference ΔE2000 between the color and the trend color. If ΔE2000 is equal to or less than a predetermined value, the color and the trend color are similar, and if ΔE2000 is greater than the predetermined value, the color and the trend color are not similar. The similarity between a color of the color design target and a trend color is determined, for example, by the hue difference between the color and the trend color. If the hue difference is equal to or less than a predetermined value, the color and the trend color are similar, and if the hue difference is greater than the predetermined value, the color and the trend color are not similar.

[0034] When it is determined that the color and the trend color are similar in one or more of the determination based on the color difference ΔE2000 and the determination based on the hue difference, it may be determined that the color and the trend color are similar.When it is determined that the color and the trend color are similar in the determination based on the color difference ΔE2000 and the determination based on the hue difference, it may be determined that the color and the trend color are similar.

[0035] The color candidate estimation process estimates color candidates based on, for example, an object-dependent score, a user-dependent score, and a trend score. The color candidate estimation process estimates, for example, a color whose object-dependent score, user-dependent score, and trend score are each equal to or greater than a predetermined value as a color candidate. The color candidate estimation process estimates, for example, a color whose value calculated from the object-dependent score, user-dependent score, and trend score is equal to or greater than a predetermined value as a color candidate. The values ​​calculated from the object-dependent score, user-dependent score, and trend score are, for example, an average value, a maximum value, and a minimum value.

[0036] FIG. 8 is an example of a display by the color design support device 10 of the second embodiment. The example shown in FIG. 8 shows the user-dependent score, object-dependent score, and trend score of a certain color (hue) when SEDAN (sedan) is input as object attribute information and JAPAN, the country in which the user will use the color design object, is input as user attribute information. As with the first embodiment, the trend score is judged and displayed as FINE, GOOD, or NORMAL as the value increases. The person performing color design can check the object-dependent score, user-dependent score, and trend score displayed for each color (hue) and decide on a color (hue) based on the checked results.

[0037] As described above, the color design support device 10 of the second embodiment can estimate color candidates based on the target attribute information and the user attribute information, taking trends into consideration. In the first and second embodiments, for example, in the case of an automobile vehicle, for one body type for which target attribute information and user attribute information have been selected, at least one color candidate is selected by the user of the color design support device 10 based on the color candidates estimated by the color design support device, and preferably multiple color candidates are selected.

[0038] (Paint formulation equipment, paint manufacturing equipment) FIG. 9 is a diagram showing a paint blend creation device 20 and a paint manufacturing device 30. The paint blend creation device 20 receives estimated color candidates from the color design support device 10. Based on the color candidates, the paint blend creation device 20 creates information indicating the paint blend for creating the color candidates. Based on data on the colors and the paint blends for creating those colors, the paint blend creation device 20 creates information indicating the paint blend for creating the color candidates. The paint blend creation device 20 outputs the information indicating the created paint blend to the paint manufacturing device 30.

[0039] Information indicating the paint formulation is input to the paint manufacturing device 30 from the paint formulation creation device 20. The paint manufacturing device 30 manufactures paint with the formulation indicated by the information indicating the paint formulation. The paint manufacturing device 30 is equipped with predetermined paints, and manufactures paint by blending the paints provided to achieve the paint formulation indicated by the input information. The above-mentioned "creation step of creating information indicating the paint formulation from the color candidates estimated by the color design support device" and "manufacturing step of manufacturing paint of the formulation indicated by the information indicating the paint formulation" can be performed, for example, in the same manner as the invention described in Patent Publication No. 2021-107781 (obtaining formulation composition data from target color data and manufacturing actual candidate paints).

[0040] Other Embodiments One embodiment of the present invention has been described in detail above with reference to the drawings, but the specific configuration is not limited to that described above, and various design changes and the like are possible within the scope that does not deviate from the gist of the present invention.

[0041] The color design support device 10 in the above-described embodiment may be implemented in part or in whole by a computer. In this case, a program for implementing the functions may be recorded on a computer-readable recording medium, and the program may be loaded into a computer system and executed. The term "computer system" as used herein includes an operating system (OS) and peripheral hardware. The term "computer-readable recording medium" refers to portable media such as flexible disks, optical magnetic disks, ROMs, and CD-ROMs, as well as storage devices such as hard disks built into computer systems. The term "computer-readable recording medium" may also include media that dynamically store programs for a short period of time, such as communication lines used when transmitting programs over a network such as the Internet or a telephone line, or media that store programs for a fixed period of time, such as volatile memory within a computer system serving as a server or client. The program may be a program that implements some of the functions described above, or may be a program that can be implemented in combination with a program already stored in the computer system, or may be implemented using a programmable logic device such as an FPGA (Field Programmable Gate Array). [Explanation of symbols]

[0042] 10...color design support device, 11...control unit, 12...interface unit, 13...storage unit

Claims

1. a control unit that executes a color candidate estimation process to estimate color candidates that may be determined to be used in the color design based on object attribute information that indicates the attributes of the color design object and user attribute information that indicates the attributes of the user who uses the color design object; an output unit that outputs candidates estimated by the color candidate estimation process; A color design support device comprising:

2. In the color candidate estimation process, the candidates are estimated based on the object attribute information and the user attribute information using object-dependent preference information indicating color preferences according to attributes of a color design object and user-dependent preference information indicating color preferences according to attributes of a user. The color design support device according to claim 1.

3. In the color candidate estimation process, the candidates are estimated using information indicating trend colors in the color design target. The color design support device according to claim 2.

4. The color design object is an automobile vehicle, and the attribute of the color design object is a body type of the automobile vehicle. The color design support device according to claim 1.

5. The user attributes include at least one of a country where the user uses the color design object, a gender of the user, and an age of the user. The color design support device according to claim 1.

6. a control step of executing a color candidate estimation process to estimate color candidates that may be determined to be used in the color design based on object attribute information indicating attributes of the color design object and user attribute information indicating attributes of a user who uses the color design object; an output step of outputting candidates estimated by the color candidate estimation process; A color design support method comprising:

7. A program for causing a computer to function as the color design support device according to any one of claims 1 to 5.

8. a creating step of creating information indicating a paint formulation based on information indicating candidates estimated by the color design support device according to any one of claims 1 to 5; A method for preparing a paint formulation comprising the steps of:

9. a manufacturing step of manufacturing a paint having a formulation indicated by the information indicating the paint formulation created by the paint formulation creation method according to claim 8; A paint manufacturing method comprising the steps of:

Citation Information

Patent Citations

  • Toning compounding retrieval system and method of toning paint creation using the same

    JP2006268803A

  • Appearance color designing support system

    JP2010277391A

  • System and method for color paint selection and acquisition

    US20160232449A1

  • Color consulting system, color consulting method and its program

    JP2004118444A