Hair dyeing scheme generation method and device based on hair quality detection, equipment and storage medium

Abstract

The invention discloses a hair dyeing scheme generation method and device based on hair quality detection, equipment and a storage medium, and belongs to the technical field of hair dyeing. The method comprises the following steps: acquiring information of to-be-detected hair to obtain to-be-detected hair quality data; performing hair quality detection based on the to-be-detected hair quality data to obtain a hair quality detection result; and generating a scheme based on the hair quality detection result to obtain a corresponding intelligent hair dyeing scheme. According to the method, the information of the hair of the user is firstly collected, then the hair quality is detected based on the to-be-detected hair quality data, and finally the corresponding hair dyeing scheme is generated according to the hair quality detection result, so that the requirement on the ability of a hairstylist in the hair dyeing process is reduced, and the reliability and the hair dyeing efficiency of the hair dyeing process are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of hair dyeing, in particular to a hair dyeing scheme generation method and device based on hair quality detection, equipment and storage medium. BACKGROUND

[0002] With the continuous improvement of people's quality of life, people pay more and more attention to their appearance. It is not difficult to find that hair dyeing, especially colored hair, has become a fashion trend. Hair dyeing is one of the most common means of modern cosmetics, which specifically uses plant or chemical pigments to dye the color of hair into the desired color.

[0003] In recent years, as people's demand for hair dyeing continues to increase, the requirements for hairdressers' hair dyeing techniques have also increased accordingly. However, in real life, a skilled hairdresser needs to undergo years of work training to fully handle the entire hair dyeing process from hair quality judgment to hair dye preparation and application.

[0004] Therefore, there is an urgent need for a hair dyeing scheme generation method based on hair quality detection to help hairdressers quickly and efficiently generate hair dyeing schemes, thereby meeting people's hair dyeing needs while reducing the operation difficulty of the hair dyeing process.

[0005] The above content is only used to assist in understanding the technical solutions of the present application and does not represent the acknowledgement of the above content as prior art. SUMMARY

[0006] The main purpose of the present application is to provide a hair dyeing scheme generation method, device, equipment and storage medium based on hair quality detection, which aims to solve the technical problem of how to meet people's individualized hair dyeing matching needs while reducing the operation difficulty of the hair dyeing process.

[0007] To achieve the above purpose, the present application provides a hair dyeing scheme generation method based on hair quality detection, which comprises the following steps:

[0008] Collecting information of the hair to be detected to obtain hair quality data to be detected;

[0009] Performing hair quality detection based on the hair quality data to be detected to obtain a hair quality detection result;

[0010] Generating a scheme based on the hair quality detection result to obtain a corresponding intelligent hair dyeing scheme.

[0011] Optionally, collecting information of the hair to be detected to obtain hair quality data to be detected, specifically comprising:

[0012] Performing bleaching and dyeing treatment on the hair to be detected based on user demand information;

[0013] Image information of the hair to be detected after bleaching and dyeing is collected to obtain corresponding hair quality data to be detected.

[0014] Optionally, information of the hair to be detected is collected to obtain hair quality data to be detected, specifically including:

[0015] The hair to be detected is sampled based on user demand information to obtain a hair sample to be detected;

[0016] The hair sample to be detected is pretreated to obtain a processed hair sample to be detected;

[0017] Image information of the processed hair sample to be detected is collected to obtain corresponding hair quality data to be detected.

[0018] Optionally, hair quality detection is performed based on the hair quality data to be detected to obtain a hair quality detection result, specifically including:

[0019] Hair quality segmentation detection processing is performed based on the hair quality data to be detected and the user demand information to obtain a hair quality segmentation detection result;

[0020] Hair quality classification detection is performed based on the hair quality data to be detected to obtain a hair quality classification detection result;

[0021] The hair quality segmentation detection result and the hair quality classification detection result are integrated to obtain the hair quality detection result.

[0022] Optionally, hair quality segmentation detection processing is performed based on the hair quality data to be detected and the user demand information to obtain a hair quality segmentation detection result, specifically including:

[0023] Hair quality segmentation is performed based on the hair quality data to be detected to obtain a preliminary hair quality segmentation detection result;

[0024] Hair quality segmentation is performed based on the user demand information and the preliminary hair quality segmentation detection result to obtain the hair quality segmentation detection result.

[0025] Optionally, a scheme is generated based on the hair quality detection result to obtain a corresponding intelligent hair dyeing scheme, specifically including:

[0026] A hair dyeing formula scheme is generated based on the hair quality detection result;

[0027] Hair dyeing operation design is performed based on the hair quality detection result and the user demand information to obtain a corresponding hair dyeing operation scheme;

[0028] The hair dyeing formula scheme and the hair dyeing operation scheme are integrated to obtain the intelligent hair dyeing scheme.

[0029] Optionally, the hair dyeing formula generation is performed based on the hair quality detection result, and a corresponding hair dyeing formula scheme is obtained, specifically including:

[0030] The hair quality detection result is analyzed to obtain a segmented hair quality detection result set.

[0031] The hair dyeing formula is generated based on each segment of the segmented hair quality detection result set, and the generated hair dyeing formulas are integrated to obtain a corresponding hair dyeing formula scheme.

[0032] In addition, to achieve the above-mentioned purpose, the application further provides a hair dyeing scheme generation device based on hair quality detection, which comprises:

[0033] The information collection module collects information of the hair to be detected to obtain hair quality data to be detected.

[0034] The hair quality detection module detects the hair quality based on the hair quality data to be detected to obtain a hair quality detection result.

[0035] The scheme generation module generates a scheme based on the hair quality detection result to obtain a corresponding intelligent hair dyeing scheme.

[0036] In addition, to achieve the above-mentioned purpose, the application further provides a hair dyeing scheme generation device based on hair quality detection, which comprises a memory, a processor, and a hair dyeing scheme generation program based on hair quality detection stored on the memory and executable on the processor, and the hair dyeing scheme generation program based on hair quality detection is configured to implement the steps of the hair dyeing scheme generation method based on hair quality detection as described above.

[0037] In addition, to achieve the above-mentioned purpose, the application further provides a computer readable storage medium storing a computer program, and the storage medium stores a hair dyeing scheme generation program based on hair quality detection, and the hair dyeing scheme generation program based on hair quality detection is executed by a processor to implement the steps of the hair dyeing scheme generation method based on hair quality detection as described above.

[0038] The application collects information of the hair to be detected to obtain hair quality data to be detected, detects the hair quality based on the hair quality data to be detected to obtain a hair quality detection result, and generates a scheme based on the hair quality detection result to obtain a corresponding intelligent hair dyeing scheme. The application first collects information of the hair of a user, then detects the hair quality based on the hair quality data to be detected, and finally generates a corresponding hair dyeing scheme based on the hair quality detection result, thereby reducing the requirement for the ability of a hair stylist in the hair dyeing process and improving the reliability and efficiency of the hair dyeing process. BRIEF DESCRIPTION OF DRAWINGS

[0039] Figure 1 This is a schematic diagram of the structure of a hair dyeing scheme generation device based on hair quality detection in the hardware operating environment of the embodiment of the present invention.

[0040] Figure 2 This is a flowchart illustrating the first embodiment of the hair dyeing scheme generation method based on hair quality detection of the present invention.

[0041] Figure 3 This is a flowchart illustrating the second embodiment of the hair dyeing scheme generation method based on hair quality detection of the present invention;

[0042] Figure 4 This is a flowchart illustrating the third embodiment of the hair dyeing scheme generation method based on hair quality detection of the present invention;

[0043] Figure 5 This is a structural block diagram of the first embodiment of the hair dyeing scheme generation device based on hair quality detection of the present invention.

[0044] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0045] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0046] Reference Figure 1 , Figure 1 This is a schematic diagram of the structure of a hair dyeing solution generation device based on hair quality detection, which is part of the hardware operating environment of the embodiment of the present invention.

[0047] like Figure 1 As shown, the hair dyeing solution generation device based on hair quality detection may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen and an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be high-speed random access memory (RAM) or stable non-volatile memory (NVM), such as a disk drive. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.

[0048] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on the hair dyeing solution generation device based on hair quality detection, and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0049] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and a hair dyeing scheme generation program based on hair quality detection.

[0050] exist Figure 1 In the hair dyeing scheme generation device based on hair quality detection shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and memory 1005 in the hair dyeing scheme generation device based on hair quality detection of the present invention can be set in the hair dyeing scheme generation device based on hair quality detection. The hair dyeing scheme generation device based on hair quality detection calls the hair dyeing scheme generation program based on hair quality detection stored in the memory 1005 through the processor 1001 and executes the hair dyeing scheme generation method based on hair quality detection provided in the embodiment of the present invention.

[0051] This invention provides a method for generating hair dyeing schemes based on hair quality detection, referring to... Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of a hair dyeing scheme generation method based on hair quality detection according to the present invention.

[0052] In this embodiment, the hair dyeing scheme generation method based on hair quality detection includes the following steps:

[0053] Step S10: Collect information from the hair to be tested to obtain hair quality data;

[0054] It should be noted that, in the specific implementation, information collection of the hair to be detected specifically involves acquiring image information (hair quality data) of the hair to be detected. This can be achieved through image acquisition devices such as cameras, RGB sensors, or (hyper)spectral sensors. Specifically, camera devices acquire images of the hair to be detected; RGB sensor devices acquire light reflectance values ​​of different wavelengths of the hair to be detected; and (hyper)spectral sensor devices acquire spectral data of the hair to be detected.

[0055] It should also be noted that, in the specific implementation, the process of collecting information from the hair to be tested may include testing the entire hair starting from the root; or, based on the hairstylist's judgment, selecting one or more points on the same hair to be tested as the testing site (for example, selecting one point at the root, one point in the middle, and one point at the end). The resulting intelligent hair dyeing plan can be a pre-planned complete intelligent hair dyeing plan, or it can be the dye formula and recommended application time for this point / section of hair (hair dyeing operation plan).

[0056] Understandably, in practice, if a hairstylist determines that a user's hair color is uniform, or determines that only a certain part of the user's hair needs to be tested to complete the information collection process, the hairstylist can test only one point of the user's hair (for example, only test the mid-length of the user's hair to obtain the hair dye formula corresponding to the mid-length).

[0057] Step S20: Perform hair quality testing based on the hair quality data to be tested, and obtain the hair quality testing results;

[0058] It should be noted that, in the specific implementation, hair quality detection based on the hair quality data to be detected is specifically used to identify the hair quality data (hair quality detection results) of the hair to be detected from the acquired image information (image, light reflectance value or spectral data), such as the degree of hair damage, smoothness, hair color, hair quality attributes (oily, normal and dry) and hair color value, etc.

[0059] Step S30: Generate a solution based on the hair quality test results to obtain the corresponding intelligent hair dyeing solution.

[0060] It should be noted that, in the specific implementation, the generation of the solution based on the hair quality test results is achieved through an intelligent hair dyeing solution generation model. The intelligent hair dyeing solution generation model has pre-stored various hair types and corresponding pre-stored hair dyeing formula solution data. Therefore, it can obtain the corresponding pre-stored hair dyeing formula solution data by matching the data with the hair quality test results, and finally integrate all the matched pre-stored hair dyeing formula solution data to obtain the hair dyeing formula solution in the intelligent hair dyeing solution.

[0061] It should also be noted that, in its specific implementation, the intelligent hair dyeing solution includes a hair dyeing formula, a hair dyeing operation plan, and hair dyeing-related information. The hair dyeing formula includes information on the mixing or selection of hair dyeing agents, the type or composition of hair dyeing agents (such as dye color number, dye ratio, hydrogen peroxide concentration, and hydrogen peroxide ratio), and the method of using hair dyeing agents or the time of use (such as the dwell time after applying the dye). The hair dyeing operation plan includes information on the use of hair dyeing agents, instructions on the steps of using hair dyeing agents, and information on the corresponding locations where hair dyeing agents are applied (such as information on the areas of hair affected by the hair dye formula, the order of application steps, the dwell time between steps, information on checking and touch-up, and rinsing time). The hair dyeing-related information includes the user's hair quality test results and the results of intelligent hair dyeing analysis.

[0062] For example, if a user's target hair color is dreamy purple-gray, and the user's hair was previously dyed brown (which has now faded), then it is necessary to first use equipment to test each section of her hair to see if it meets the requirements for dyeing purple-gray.

[0063] Test results for this user:

[0064] The roots are black, so it needs to be bleached to a base color of level 8 or higher.

[0065] The hair is a level 5 base color that has faded after dyeing, and needs to be bleached to a level 8 or higher.

[0066] The hair ends are already at level 8 in color, so no treatment is needed.

[0067] The hair dyeing process involves the stylist manually bleaching the base color evenly first, and then using equipment to test it again. If the base color does not meet the dyeing standard, or if the stylist determines that it does not meet the standard (the user's hair color is not uniform after bleaching), then the bleaching process needs to continue. If the base color meets the dyeing standard, or if the stylist determines that it meets the standard (the user's hair color is uniform after bleaching), then the intelligent hair dyeing solution generation algorithm needs to generate a corresponding intelligent hair dyeing solution (hair dyeing formula and operation plan) based on the user's hair quality test results and user needs information.

[0068] The user's hair dye formula is as follows:

[0069] Hair dye A: Hair dye B: Hair dye C: Conditioner = 10:1:11:55;

[0070] First apply to the roots, then apply to the mid-lengths and ends of the hair. Leave it on for 10-20 minutes, then rinse.

[0071] For example, if a user's target hair color is ice blue, and the user's hair is originally light yellow (Caucasian), then it is necessary to first use equipment to test each section of her hair to see if it meets the requirements for dyeing ice blue.

[0072] Test results for this user:

[0073] If the base color has reached level 7.5 or higher, you can directly dye your hair this color.

[0074] The hair dyeing process involves directly applying the dye formula and instructions generated based on the hair quality test results.

[0075] The user's hair dye formula is as follows:

[0076] Hair dye A: Hair dye B: Hair dye C = 10:2:12;

[0077] Apply the product to the roots first, then apply it to the mid-lengths and ends of the hair below.

[0078] Finally, leave it on for 15-25 minutes, then rinse.

[0079] For example, if a user's target hair color is Barbie pink, and the user's hair was previously dyed brown (which has now faded), then it is necessary to first use equipment to test each section of her hair to see if it meets the requirements for Barbie pink.

[0080] Test results for this user:

[0081] The roots are black, so it needs to be bleached to a base color of level 8 or higher.

[0082] The mid-lengths and ends of the hair are a faded level 5 base color and need to be bleached to level 8 or higher.

[0083] The hair dyeing process involves the stylist manually bleaching the hair once, and then testing it again with equipment. If the base color does not meet the dyeing standard (level 8), the bleaching and dyeing process needs to continue. If the base color meets the dyeing standard, the intelligent hair dyeing solution generation algorithm generates a corresponding intelligent hair dyeing solution (hair dyeing formula and operation plan) based on the user's hair quality test results and user needs.

[0084] The user's hair dye formula is as follows:

[0085] The hair is divided into two sections. The first section, 0-3cm from the root, reaches a temperature of 9.

[0086] The second section, from the middle to the ends, 3-50cm, is styled at 8 degrees.

[0087] The generated hair dyeing process is as follows: First section:

[0088] Hair dye A: Hair dye B: Hair dye D; Hair dye C: Conditioner = 10:1:3:14:70;

[0089] After 5 minutes, apply the second layer. The formula is as follows:

[0090] Hair dye A: Hair dye B: Hair dye C: Conditioner = 10:1:11:55;

[0091] Finally, let it sit for 10-15 minutes, then flush.

[0092] This embodiment collects information from the hair to be tested, obtaining hair quality data; performs hair quality testing based on the hair quality data, obtaining hair quality testing results; and generates a solution based on the hair quality testing results, resulting in a corresponding intelligent hair dyeing solution. This embodiment first collects information from the user's hair, then performs hair quality testing based on the hair quality data, and finally generates a corresponding hair dyeing solution based on the hair quality testing results. This reduces the skill requirements of the hairstylist during the hair dyeing process and improves the reliability and efficiency of the hair dyeing process.

[0093] Furthermore, information is collected from the hair to be tested to obtain hair quality data, specifically including: bleaching and dyeing the hair to be tested based on user needs; and collecting image information from the bleached and dyed hair to obtain corresponding hair quality data.

[0094] Understandably, in practice, bleaching and dyeing the hair to be tested can improve the accuracy of hair quality testing and facilitate subsequent hair dyeing operations.

[0095] It should be noted that in practice, the bleaching process for the hair to be tested can be a multi-stage process. The bleaching process can only be terminated when the bleached hair meets the dyeing standards. For example, if the user's hair is a light color (the user's natural hair color is light or it has been previously dyed and faded), the bleaching process only needs to include one stage. If the user's hair is a dark color (the user's natural hair color is dark or it has been previously dyed and has not yet faded), the bleaching process will require multiple stages.

[0096] It should also be noted that in the specific implementation, if the user's hair color meets the bleaching and dyeing standard (the user's hair color is very light), the user's hair to be tested does not need to be bleached and dyed, and the image information of the user's hair to be tested can be collected directly.

[0097] refer to Figure 3 , Figure 3 This is a flowchart illustrating a second embodiment of a hair dyeing scheme generation method based on hair quality detection according to the present invention.

[0098] Based on the first embodiment described above, in this embodiment, step S10 specifically includes:

[0099] Step S11: Based on the user's needs information, sample the hair to be tested to obtain the hair sample to be tested;

[0100] It should be noted that, in the specific implementation, the user's requirements information may include the user's hair area to be dyed and the target hairstyle information (including hair color, single color / multi-color, and the degree of color intensity, etc.).

[0101] It should also be noted that, in the specific implementation, the hair quality detection process for users can be performed directly on the hair in the area to be dyed (without cutting, the selected sample hair is directly tested), or it can be performed on the sample hair cut from the area to be dyed. When sampling the hair to be tested, the obtained hair sample must meet the corresponding hair quality detection requirements (e.g., the number and length of the hair sample).

[0102] Step S12: Preprocess the hair sample to be tested to obtain the processed hair sample to be tested;

[0103] It should be noted that in the specific implementation, if the hair sample to be tested is cut from the user's hair area to be dyed, the preprocessing process for the hair sample to be tested can be as follows: First, a portion of hair (i.e., the hair sample to be tested) is cut from the customer's head based on the user's requirements. Then, the hair sample to be tested is preprocessed to obtain the processed hair sample to be tested. Specifically, the preprocessing involves first adjusting the cut sample hair to ensure a consistent hair orientation, and then fixing it (the fixing location can be one end, the middle, or both ends of the hair; the fixing method can include using hot melt glue, stapler, metal sheet, hot melt sheet, double-sided tape, etc.), thus finally obtaining the hair sample to be tested.

[0104] It should also be noted that in the specific implementation, if the hair sample to be tested is directly selected from the user's hair to be dyed area (without being cut), then the preprocessing of the hair sample to be tested is just a hair sample processing process to facilitate subsequent hair quality testing, which may include processing the adhesion of the sample hair, trimming, and gathering.

[0105] Step S13: Based on the processed hair sample to be tested, image information is collected to obtain the corresponding hair quality data to be tested.

[0106] It should be noted that, in the specific implementation, the image information acquisition based on the processed hair sample to be tested can be achieved through a hair quality analyzer. The hair quality analyzer essentially acquires image information of the hair sample through image acquisition modules such as cameras, RGB sensors or (hyper)spectral sensors, and then obtains the corresponding hair quality data to be tested.

[0107] This embodiment samples the hair to be tested based on user requirements, preprocesses the sampled hair, and finally acquires image information based on the processed hair sample to obtain hair quality data, providing a foundation for subsequent hair quality testing.

[0108] refer to Figure 4 , Figure 4 This is a flowchart illustrating the third embodiment of a hair dyeing scheme generation method based on hair quality detection according to the present invention.

[0109] Based on the first embodiment described above, in this embodiment, step S20 specifically includes:

[0110] Step S21: Perform hair quality segmentation detection based on the hair quality data to be detected and user demand information to obtain hair quality segmentation detection results;

[0111] It should be noted that in the specific implementation, hair quality segmentation detection is performed based on the hair quality data to be detected and the user's needs information. Specifically, it is implemented based on a hair quality segmentation algorithm, which can divide the user's hair into multiple segments based on the user's needs information and hair image data. For example, the number of segments to be divided into can be determined based on the captured hair image, the target color to be dyed, and the type of hair dye used, so that corresponding dyeing solutions can be adopted for different segments of hair in the subsequent process.

[0112] Understandably, in its implementation, this embodiment can segment hair quality according to the machine learning rules of the hair quality segmentation algorithm model itself. Specifically, this can be achieved by manually labeling the corresponding dataset, allowing the algorithm to learn the segmentation method of the dataset and ultimately achieve automatic segmentation. For example, the hair roots, mid-lengths, and ends of the hair image corresponding to the target hair color can be manually labeled in the dataset, enabling the trained hair quality segmentation algorithm model to automatically segment the hair quality (identifying the hair roots, mid-lengths, and ends of hair with the target hair color).

[0113] It should also be noted that, in the specific implementation, the hair quality segmentation detection results can reflect how many segments of the user's hair to be dyed can be divided into, and the final number of segments to be dyed can range from 1 to 10.

[0114] Step S22: Perform hair quality classification detection based on the hair quality data to be tested, and obtain the hair quality classification detection results;

[0115] It should be noted that, in the specific implementation, the hair quality classification operation is to distinguish and classify hairs with different hair quality (which can be different hairs or different areas of the same hair), thereby facilitating the generation of subsequent hair dyeing formulas.

[0116] It should also be noted that, in the specific implementation, the hair texture classification operation is based on a hair texture classification algorithm. The classification criteria of this algorithm can be set to distinguish hair texture categories based on preset classification standards, and the similarity between the hair to be classified and the already classified hair can be calculated, thereby achieving the identification and differentiation of the hair to be classified. The preset classification standards may specifically include hair thickness, hair color, the hair's natural color, and the hair's shape (used to determine whether the user's hair has been permed or straightened), etc.

[0117] Step S23: Integrate the hair quality segmentation test results and the hair quality classification test results to obtain the hair quality test results.

[0118] Understandably, in practice, hair quality testing results can accurately reflect how many sections of the user's hair to be dyed need to be divided into, as well as the relevant information about the hair quality of each section, thus providing a foundation for subsequent intelligent hair dyeing.

[0119] This embodiment first performs hair quality segmentation detection based on the hair quality data to be tested and user demand information, then performs hair quality classification detection based on the hair quality data to be tested, and finally integrates the hair quality segmentation detection results and hair quality classification detection results to obtain the hair quality detection results, which provides a basis for the subsequent hair dyeing solution generation.

[0120] Furthermore, hair quality segmentation detection processing is performed based on the hair quality data to be detected and the user demand information to obtain hair quality segmentation detection results. Specifically, this includes: segmenting hair quality based on the hair quality data to be detected to obtain preliminary hair quality segmentation detection results; and segmenting hair quality based on the user demand information and the preliminary hair quality segmentation detection results to obtain hair quality segmentation detection results.

[0121] Furthermore, a solution is generated based on the hair quality test results to obtain a corresponding intelligent hair dyeing solution. Specifically, this includes: generating a hair dyeing formula based on the hair quality test results to obtain a corresponding hair dyeing formula solution; designing a hair dyeing operation based on the hair quality test results and the user's needs information to obtain a corresponding hair dyeing operation solution; and integrating the hair dyeing formula solution and the hair dyeing operation solution to obtain an intelligent hair dyeing solution.

[0122] Furthermore, based on the hair quality test results, a hair dyeing formula is generated to obtain a corresponding hair dyeing formula scheme. Specifically, this includes: analyzing the hair quality test results to obtain a segmented hair quality test result set; generating hair dyeing formulas based on each segment of the hair quality test results in the segmented hair quality test result set; and integrating the generated hair dyeing formulas to obtain a corresponding hair dyeing formula scheme.

[0123] It should be noted that in the actual implementation, different hair dyeing formulas are suitable for different hair areas of different hair types. A complete set of hair dyeing formulas is composed of all hair dyeing formulas for a hair dyeing customer. Therefore, it can match the final user hair dyeing formula to be applied to a section of hair based on the hair type classification result set and the user's hair dyeing needs information.

[0124] Understandably, in practice, the intelligent hair dyeing solution includes hair dyeing formulas for all hair types and specific hair dyeing operation plans. The hair dyeing operation plan needs to be generated based on the user's hair dyeing needs and the user's hair dyeing formula.

[0125] Furthermore, embodiments of the present invention also propose a computer-readable storage medium storing a computer program, wherein the storage medium stores a hair dyeing scheme generation program based on hair quality detection, and when the hair dyeing scheme generation program based on hair quality detection is executed by a processor, it implements the steps of the hair dyeing scheme generation method based on hair quality detection as described above.

[0126] Since this storage medium adopts all the technical solutions of all the above embodiments, it has at least all the beneficial effects brought about by the technical solutions of the above embodiments, which will not be repeated here.

[0127] Reference Figure 5 , Figure 5 This is a structural block diagram of the first embodiment of the hair dyeing scheme generation device based on hair quality detection of the present invention.

[0128] like Figure 5 As shown, the hair dyeing scheme generation device based on hair quality detection proposed in this embodiment of the invention includes:

[0129] Information collection module 10: Collects information from the hair to be tested to obtain hair quality data;

[0130] Hair quality detection module 20: Performs hair quality detection based on the hair quality data to be tested, and obtains the hair quality detection results;

[0131] Solution generation module 30: Generates solutions based on hair quality test results to obtain corresponding intelligent hair dyeing solutions.

[0132] This embodiment collects information from the hair to be tested, obtaining hair quality data; performs hair quality testing based on the hair quality data, obtaining hair quality testing results; and generates a solution based on the hair quality testing results, resulting in a corresponding intelligent hair dyeing solution. This embodiment first collects information from the user's hair, then performs hair quality testing based on the hair quality data, and finally generates a corresponding hair dyeing solution based on the hair quality testing results. This reduces the skill requirements of the hairstylist during the hair dyeing process and improves the reliability and efficiency of the hair dyeing process.

[0133] It should be understood that the above are merely illustrative examples and do not constitute any limitation on the technical solutions of the present invention. In specific applications, those skilled in the art can make settings as needed, and the present invention does not impose any restrictions on this.

[0134] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of this invention. In practical applications, those skilled in the art can select some or all of the workflow to achieve the purpose of this embodiment according to actual needs, and no restrictions are imposed here.

[0135] In addition, for technical details not described in detail in this embodiment, please refer to the hair dyeing scheme generation method based on hair quality detection provided in any embodiment of the present invention, which will not be repeated here.

[0136] Furthermore, it should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0137] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0138] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory (ROM) / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0139] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method for generating hair dyeing schemes based on hair quality detection, characterized in that, include: Information is collected from the hair samples to be tested to obtain hair quality data. Based on the hair quality data to be tested, hair quality testing is performed to obtain hair quality testing results; Based on the hair quality test results, a solution is generated to obtain the corresponding intelligent hair dyeing solution.

2. The hair dyeing scheme generation method based on hair quality detection according to claim 1, characterized in that, Information is collected from the hair samples to be tested to obtain hair quality data, specifically including: The hair to be tested is bleached and dyed based on user needs information; Image information of the bleached and dyed hair to be tested is collected to obtain the corresponding hair quality data.

3. The hair dyeing scheme generation method based on hair quality detection according to claim 1, characterized in that, Information is collected from the hair samples to be tested to obtain hair quality data, specifically including: Based on user needs information, hair samples are taken from the hair to be tested to obtain the hair sample to be tested. The hair sample to be tested is preprocessed to obtain the processed hair sample to be tested; Image information is acquired based on the processed hair sample to be tested, and corresponding hair quality data to be tested is obtained.

4. The method for generating a hair dyeing scheme based on hair quality detection according to claim 1, characterized in that, Based on the hair quality data to be tested, hair quality testing is performed to obtain hair quality testing results, specifically including: Based on the hair quality data to be tested and the user demand information, hair quality segmentation detection processing is performed to obtain hair quality segmentation detection results; Based on the hair quality data to be tested, hair quality classification detection is performed to obtain hair quality classification detection results; The hair quality segmentation test results and the hair quality classification test results are integrated to obtain the hair quality test results.

5. The hair dyeing scheme generation method based on hair quality detection according to claim 4, characterized in that, Based on the hair quality data to be tested and the user's needs information, hair quality segmentation detection is performed to obtain hair quality segmentation detection results, specifically including: Based on the hair quality data to be tested, hair quality is segmented to obtain preliminary hair quality segmentation test results; Based on the user demand information and the preliminary hair quality segmentation test results, hair quality is segmented to obtain the hair quality segmentation test results.

6. The method for generating a hair dyeing scheme based on hair quality detection according to any one of claims 1 to 5, characterized in that, Based on hair quality analysis results, a smart hair dyeing solution is generated, which includes: Based on the hair quality test results, a hair dyeing formula is generated to obtain the corresponding hair dyeing formula scheme. Based on the hair quality test results and the user's needs information, a hair dyeing operation is designed to obtain a corresponding hair dyeing operation plan. The hair dyeing formula and the hair dyeing operation plan are integrated to obtain the intelligent hair dyeing solution.

7. The method for generating a hair dyeing scheme based on hair quality detection according to claim 6, characterized in that, Based on the hair quality test results, a hair dye formula is generated to obtain a corresponding hair dye formula solution, specifically including: The hair quality test results are analyzed to obtain a segmented set of hair quality test results; Based on the hair quality test results of each segment in the segmented hair quality test result set, a hair dyeing formula is generated, and the generated hair dyeing formulas are integrated to obtain the corresponding hair dyeing formula scheme.

8. A hair dyeing solution generation device based on hair quality detection, characterized in that, The hair dyeing solution generation device based on hair quality detection includes: Information collection module: Collects information from the hair to be tested to obtain hair quality data; Hair quality detection module: performs hair quality detection based on the hair quality data to be detected, and obtains the hair quality detection results; Solution generation module: Generates solutions based on hair quality test results to obtain corresponding intelligent hair dyeing solutions.

9. A hair dyeing solution generation device based on hair quality detection, characterized in that, The hair dyeing scheme generation device based on hair quality detection includes: a memory, a processor, and a hair dyeing scheme generation program based on hair quality detection stored in the memory and executable on the processor. The hair dyeing scheme generation program based on hair quality detection is configured to implement the hair dyeing scheme generation method based on hair quality detection according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it can implement the steps in the hair dyeing scheme generation method based on hair quality detection as described in any one of claims 1 to 7.

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