Intelligent control method and device for multifunctional use of hair removal instrument based on user identification

Abstract

The invention discloses an intelligent control method and device for multifunctional use of an unhairing instrument based on user recognition, and the method comprises the steps: collecting a skin image of a user to recognize the skin color type of the user, and judging the use authority of the user in combination with identity information; if not, prompting the user to prohibit using the hair removal instrument through voice; otherwise, judging whether the user attribute is a first user; if yes, performing clustering analysis on the age and the skin color type of the user and an unhairing scheme database, and determining an unhairing parameter scheme; if not, generating an unhairing parameter recommendation scheme according to user preferences; according to the skin color type, carrying out region division on the to-be-depilated region, carrying out sensitivity analysis and hair follicle condition analysis, dividing depilation priorities of different regions according to an analysis result, and generating a depilation path recommendation scheme; and generating a target depilation recommendation scheme according to the depilation parameter recommendation scheme and the depilation path recommendation scheme. Through intelligent region division and path planning, scientific guidance is provided for hair removal of the user, and the user experience is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent control of hair removal devices, and particularly to an intelligent control method and device for multi-functional use of a hair removal device based on user identification. Background Art

[0002] With the development of technology, home hair removal devices have become the choice of more and more consumers. The existing hair removal devices have made remarkable progress in terms of function and operation convenience, but there are still some deficiencies: First, the existing hair removal devices lack the functions of user identity recognition and permission management. Users need to judge whether they are suitable for use by themselves before using. Once the judgment is incorrect, it may cause skin damage or other adverse reactions, and the safety level needs to be improved; Second, adopting a fixed working mode, the lack of personalized settings leads to poor hair removal effect, and even causes skin discomfort or damage; Third, when users use a hair removal device, they usually only determine the hair removal order according to personal habits, lacking a reasonable and effective hair removal path planning. In this way, not only will some areas be forgotten to be depilated, but also because the working parameters of different hair removal areas are different, the working mode may be switched repeatedly, thus accelerating the aging of the device; Fourth, the lack of a dynamic adjustment mechanism leads to a poor user experience, etc. Summary of the Invention

[0003] In order to solve at least one of the above-mentioned technical problems, the present invention provides an intelligent control method and device for multi-functional use of a hair removal device based on user identification.

[0004] In a first aspect, the present invention provides an intelligent control method for multi-functional use of a hair removal device based on user identification, and the method includes:

[0005] Responding to the identity information input by the user, collecting the skin image of the user to identify the skin color type of the user, and judging the user's usage permission according to the identity information and skin color type of the user; the identity information includes user age, drug use situation, and pregnancy situation;

[0006] When it is determined that the usage permission is not passed, the user is prohibited from using the hair removal device through voice prompt;

[0007] When it is determined that the usage permission is passed, it is judged whether the user attribute is a first-time user; if so, a hair removal plan database is constructed according to the hair removal working parameters, skin color characteristics, and hair removal feedback data of different historical users using the hair removal device, and the user age and skin color type are subjected to cluster analysis with the hair removal plan database to determine the hair removal parameter plan; if not, a hair removal parameter recommendation plan is generated according to the user preference;

[0008] Identify the area of the user to be depilated, divide the area to be depilated according to skin color type, analyze the sensitivity and hair follicle conditions of the skin in different areas, divide the depilation priorities of different areas according to the analysis results, and generate a recommended depilation path plan;

[0009] Generate a target depilation recommendation plan according to the depilation parameter recommendation plan and the depilation path recommendation plan.

[0010] Preferably, the dividing the depilation priorities of different areas according to the analysis results and generating a recommended depilation path plan includes:

[0011] When the sensitivity value is greater than the preset sensitivity threshold, the corresponding area is used as the first depilation area;

[0012] When the sensitivity value is less than or equal to the preset sensitivity threshold and the number of hair follicles is greater than the preset number threshold, the corresponding area is used as the second depilation area;

[0013] When the sensitivity value is less than or equal to the preset sensitivity threshold and the number of hair follicles is less than or equal to the preset number threshold, the corresponding area is used as the third depilation area;

[0014] Among them, the depilation priorities of the first depilation area, the second depilation area and the third depilation area decrease in turn; for the depilation areas in the same priority, the depilation path is determined according to the hair growth direction.

[0015] Preferably, the method further includes:

[0016] Dynamically adjust the energy density and pulse width in the depilation parameter recommendation plan according to the analysis results of the user's sensitivity analysis and hair follicle conditions, specifically as follows:

[0017]

[0018] In the formula, E and P represent the adjusted energy density and pulse width, E0 and P0 represent the initial energy density and initial pulse width recommended in the depilation parameter recommendation plan; T is the skin color type, divided into 1-6 levels; S is the sensitivity score, divided into 0-10 points; H is the hair thickness, divided into 1-10 levels; F is the comfort score feedback by the user, divided into 0-10 points; k1, k2, k3, k4, g1, g2, g3, g4 are all adjustment factors, and their numerical values are determined by polynomial regression fitting.

[0019] In the second aspect, the present invention also provides a multifunctional intelligent control device for a hair removal instrument based on user identification, and the device includes:

[0020] The permission analysis module is used to respond to the identity information input by the user, collect the user's skin image to identify the user's skin color type, and judge the user's usage permission according to the user's identity information and skin color type; the identity information includes the user's age, drug use situation, and pregnancy situation;

[0021] The voice prompt module is used to, when it is determined that the usage permission is not passed, prompt the user to prohibit using the hair removal device through voice;

[0022] The parameter recommendation module is used to, when it is determined that the usage permission is passed, judge whether the user attribute is a first-time user; if so, construct a hair removal plan database based on the hair removal working parameters, skin color characteristics, and hair removal feedback data of different historical users using the hair removal device, perform cluster analysis on the user's age and skin color type with the hair removal plan database, and determine the hair removal parameter plan; if not, generate a hair removal parameter recommendation plan according to the user's preference;

[0023] The path recommendation module is used to identify the area to be hair removed by the user, divide the area to be hair removed according to the skin color type, perform sensitivity analysis and hair follicle condition analysis on the skin of different areas, divide the hair removal priorities of different areas according to the analysis results, and generate a hair removal path recommendation plan;

[0024] The plan generation module is used to generate a target hair removal recommendation plan according to the hair removal parameter recommendation plan and the hair removal path recommendation plan.

[0025] Preferably, the path recommendation module is used to divide the hair removal priorities of different areas according to the analysis results and generate a hair removal path recommendation plan, including:

[0026] When the sensitivity value is greater than the preset sensitivity threshold, the corresponding area is used as the first hair removal area;

[0027] When the sensitivity value is less than or equal to the preset sensitivity threshold and the number of hair follicles is greater than the preset number threshold, the corresponding area is used as the second hair removal area;

[0028] When the sensitivity value is less than or equal to the preset sensitivity threshold and the number of hair follicles is less than or equal to the preset number threshold, the corresponding area is used as the third hair removal area;

[0029] Among them, the hair removal priorities of the first hair removal area, the second hair removal area, and the third hair removal area decrease in turn; for the hair removal areas in the same priority, the hair removal path is determined according to the hair growth direction.

[0030] Preferably, the device further includes:

[0031] The dynamic adjustment module is used to dynamically adjust the energy density and pulse width in the hair removal parameter recommendation plan according to the analysis results of the user's sensitivity analysis and hair follicle condition analysis, specifically as follows:

[0032]

[0033] In the formula, E and P represent the adjusted energy density and pulse width, E0 and P0 represent the recommended initial energy density and initial pulse width in the recommended hair removal parameter solution; T is the skin color type, divided into 1-6 levels; S is the sensitivity score, divided into 0-10 points; H is the hair thickness, divided into 1-10 levels; F is the comfort score feedback by the user, divided into 0-10 points; k1, k2, k3, k4, g1, g2, g3, and g4 are all adjustment factors, and their numerical values are determined by polynomial regression fitting.

[0034] In a third aspect, the present invention further provides an electronic device, including a processor and a memory. The memory is used to store computer program code, and the computer program code includes computer instructions. When the processor executes the computer instructions, the electronic device executes the method according to the first aspect and any one of its possible implementation manners as described above.

[0035] In a fourth aspect, the present invention further provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions. When the program instructions are executed by the processor of the electronic device, the processor is enabled to execute the method according to the first aspect and any one of its possible implementation manners as described above.

[0036] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0037] 1) By responding to the user input identity information, collecting the user's skin image to identify the user's skin color type, and judging the user's usage permission according to the user's identity information and skin color type. When it is determined that the usage permission is not passed, the user is prohibited from using the hair removal device through voice prompt; when it is determined that the usage permission is passed, the hair removal solution is considered for recommendation. Through automatic user identity recognition and permission management, it is ensured that only users suitable for using the hair removal device can operate, effectively avoiding misuse by minors, pregnant women or users with specific health conditions, and greatly improving the safety of using the hair removal device.

[0038] 2) When it is determined that the usage permission is passed, it is judged whether the user attribute is that of a first-time user; if so, a hair removal plan database is constructed based on the hair removal working parameters, skin color characteristics, and hair removal feedback data of different historical users using the hair removal device, and the user's age and skin color type are subjected to cluster analysis with the hair removal plan database to determine the hair removal parameter plan; if not, a hair removal parameter recommendation plan is generated according to the user's preferences. Through data analysis and clustering algorithms, personalized hair removal parameter plans can be generated quickly and accurately, ensuring that each user can obtain the most suitable hair removal effect for themselves, avoiding users blindly using the hair removal device based only on personal feelings, and improving the user experience and satisfaction.

[0039] 3) Identify the area to be hair removed by the user, divide the area to be hair removed according to the skin color type, conduct sensitivity analysis and hair follicle condition analysis on the skin of different areas, divide the hair removal priorities of different areas according to the analysis results, and generate a recommended hair removal path plan. According to the hair removal parameter recommendation plan and the hair removal path recommendation plan, a target hair removal recommendation plan is generated. The present invention not only recommends a hair removal parameter plan that meets the user's comfort through cluster analysis, but also considers the priorities of the hair removal path and the hair removal order. For example, areas with high priorities such as the face and neck can be hair removed first, and a hair removal parameter mode that is relatively close can be adopted; while the priorities of the arms and legs are relatively low, and the operation can be carried out later. This can avoid the problem of large differences in the working modes of different areas and frequent switching, thereby accelerating the aging of the instrument and increasing the safety risk. In addition, when determining the hair removal path, the areas in the same priority area will be hair removed in sequence considering the hair growth direction. Therefore, the present invention can provide scientific guidance for the user's hair removal, greatly enhancing the user experience and the hair removal effect.

[0040] 4) Introduce a dynamic adjustment mechanism, dynamically adjust the energy density and pulse width in the hair removal parameter recommendation plan according to the analysis results of the user's sensitivity analysis and hair follicle condition analysis, continuously optimize the hair removal plan during the user's use process, provide more scientific and reasonable parameter and path suggestions, improve the flexibility of the use of the hair removal device, and overall enhance the hair removal effect and user satisfaction.

[0041] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and do not limit the present disclosure. Description of the Drawings

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the background art, the drawings required to be used in the embodiments of the present invention or the background art will be described below.

[0043] The drawings here are incorporated into the specification and form a part of this specification. These drawings show embodiments that conform to the present disclosure and are used together with the specification to explain the technical solutions of the present disclosure.

[0044] Figure 1 Schematic flowchart of an intelligent control method for multi-functional use of a hair removal device based on user identification provided by an embodiment of the present invention;

[0045] Figure 2 Schematic flowchart of an intelligent control method for multi-functional use of a hair removal device based on user identification provided by another embodiment of the present invention;

[0046] Figure 3 Schematic structural diagram of an intelligent control system for multi-functional use of a hair removal device based on user identification provided by an embodiment of the present invention;

[0047] Figure 4 Schematic structural diagram of an intelligent control system for multi-functional use of a hair removal device based on user identification provided by another embodiment of the present invention. Detailed implementation manners

[0048] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0049] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or devices.

[0050] Referring to "embodiment" in this article means that a specific feature, structure or characteristic described in connection with the embodiment can be included in at least one embodiment of the present invention. The phrase appears in various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0051] At present, there are still many safety hazards in the use of hair removal devices, such as the lack of user permission management and the neglect of individual physical differences among users. Moreover, when users use a hair removal device, they usually determine the hair removal sequence and working parameter mode based on personal experience, lacking a scientific and reasonable hair removal plan. Therefore, the present invention aims to provide an intelligent control method for multi-functional use of a hair removal device based on user identification, which can perform permission analysis according to the user's identity to prevent pregnant women, minors or drug users from misusing the hair removal device; through clustering analysis with a database, it can quickly and accurately recommend a hair removal parameter plan, and by dividing different regions to prioritize hair removal and plan the hair removal path, it can avoid omissions in the hair removal area and the problem of accelerating the aging of the device due to frequent switching of working modes, providing scientific guidance for users' hair removal, and greatly improving the hair removal effect, hair removal safety and user satisfaction.

[0052] Please refer to Figure 1 , Figure 1 which is a schematic flowchart of an intelligent control method for multi-functional use of a hair removal device based on user identification provided by an embodiment of the present invention. As Figure 1 shown, the method includes:

[0053] S10. In response to the identity information input by the user, collect the skin image of the user to identify the skin color type of the user, and judge the user's usage permission according to the identity information and skin color type of the user; the identity information includes the user's age, drug use situation and pregnancy situation.

[0054] At present, many hair removal devices are equipped with a supporting mobile App to enhance the user experience and management functions. These Apps usually support users to create personal accounts, save personal information and usage records. Multiple family members are allowed to use the same device, and each user has independent settings and records. When a certain user needs to use the hair removal device, the user can input the identity information by voice input or connecting to the mobile APP.

[0055] When collecting the skin image of the user, a high-resolution camera or a dedicated skin scanning module can be equipped. The user aligns the area to be hair removed with the camera, and the device automatically takes a skin image. Some specific models of hair removal devices also integrate the camera function, and can also directly use the image acquisition function of the hair removal device to take the skin image of the user for skin color analysis.

[0056] In this embodiment, the identity information includes, but is not limited to, age, drug use situation, and pregnancy situation. It can be understood that the skin and hair of minors are still in the developmental stage, and improper use may cause skin damage or other adverse reactions. In addition, the hormone levels of minors fluctuate greatly, which may affect the hair removal effect and skin reaction. Pregnant women should avoid using hair removal devices because changes in hormone levels may affect skin sensitivity and reaction. If there are skin diseases or undergoing related treatments, it is recommended to use the hair removal device under the guidance of a doctor. Certain drugs (such as photosensitizing drugs) may make the skin more sensitive to light, so people taking specific drugs should avoid using the hair removal device by themselves. Therefore, the identity information takes into account the user's age, drug use situation, and pregnancy situation, so as to prevent minors, pregnant women, drug users, or skin disease patients from misusing the hair removal device by themselves, causing potential safety hazards.

[0057] Furthermore, the usage permission of the user is determined based on the user's identity information and skin color type. For example, minors, pregnant women, drug users, skin disease patients, and skin allergy patients should be prohibited from using the hair removal device to avoid irreversible harm to the body.

[0058] S20. When it is determined that the usage permission is not passed, the user is prompted by voice to prohibit using the hair removal device;

[0059] S30. When it is determined that the usage permission is passed, it is judged whether the user attribute is a first-time user;

[0060] S40. If so, a hair removal plan database is constructed based on the hair removal working parameters, skin color characteristics, and hair removal feedback data of different historical users using the hair removal device. The user's age and skin color type are subjected to cluster analysis with the hair removal plan database to determine the hair removal parameter plan;

[0061] S50. If not, a hair removal parameter recommendation plan is generated according to the user's preference.

[0062] When the permission is not passed, the user should be prompted by voice to prohibit using the hair removal device. If the user insists on using it, an automatic locking mechanism can be triggered to prevent the user from misusing the device. When the permission is passed, it is necessary to further recommend a suitable working mode according to the user attribute, that is, to determine the hair removal working parameters, including but not limited to energy density, wavelength, pulse width, irradiation area, repetition frequency, output power, etc. The user attribute mainly refers to whether the user is a first-time user or an old user, and different attributes of users will have different recommended plans.

[0063] Specifically, when the system receives the user's usage request, it first checks the user's account information to determine whether the user already exists in the system database. If the user information does not exist, the user is marked as a first-time user; if it exists, the user's usage record is further queried to confirm whether it is the first time to use the device.

[0064] If the user is a first-time user, collect the usage data of a large number of historical users, including but not limited to hair removal working parameters, skin color characteristics, and user feedback data after hair removal, to build a hair removal solution database. Multiple hair removal cases can be stored in this database for new users to refer to. When recommending a solution to the current user, only obtain the user's skin color type and age, and use a clustering algorithm to perform clustering analysis on the user information and the data in the hair removal solution database. Common clustering algorithms include K-means, hierarchical clustering, DBSCAN, etc. In this embodiment, the K-means clustering algorithm is preferably used, and the silhouette coefficient is used to determine the optimal number of clusters. After obtaining the clustering result, view the center point of each cluster, that is, the average value of the cluster, to understand the main characteristics of each cluster, such as the average age, the main skin color type, etc. For new users, calculate the distance between them and the center points of each cluster according to their age and skin color type, and select the nearest cluster. According to the historical data of the selected cluster, extract the most commonly used and most effective hair removal parameters in this cluster as the initial hair removal working parameter recommendation solution for new users.

[0065] If the user is a non-first-time user, that is, an old user, analyze the user's past usage records, including but not limited to the usage frequency, preferred hair removal parameters, etc. Adjust the recommended solution according to the user's feedback. For example, if the user often adjusts a certain parameter, this parameter can be considered as the default value. Recommend an optimized hair removal parameter solution to the user.

[0066] S60. Identify the area to be hair removed by the user, divide the area to be hair removed according to the skin color type, perform sensitivity analysis and hair follicle condition analysis on the skin of different areas, and divide the hair removal priorities of different areas according to the analysis results to generate a hair removal path recommendation solution.

[0067] First, the skin color areas can be classified according to the Fitzpatrick skin type:

[0068] Type I: Very fair, always sunburns, never tans.

[0069] Type II: Fair, often sunburns, rarely tans.

[0070] Type III: Light olive, sometimes sunburns, gradually tans.

[0071] Type IV: Olive, rarely sunburns, always tans.

[0072] Type V: Brown, never sunburns, always tans.

[0073] Type VI: Dark brown or black, never sunburns, always tans.

[0074] Since different body parts of the user are blocked to different degrees, for example, the face, neck, and arms are usually easily exposed, while the back and legs are less exposed to the sun. Therefore, even for the same user, the skin color and sensitivity types of different body areas are different. In this embodiment, first determine the area to be depilated of the user, and divide the area to be depilated according to the skin color type. The grid area division method can be used to distinguish different depilation areas with a finer granularity.

[0075] Furthermore, analyze the sensitivity and hair follicle conditions of the skin in different areas. Generally, to obtain the sensitivity score, the following data needs to be collected first:

[0076] User self-report: Let the user report the sensitivity feelings of different skin areas through a questionnaire survey. For example, the user can be asked about the discomfort when using a depilator or other beauty devices.

[0077] Skin test: Conduct skin sensitivity tests, such as the lactic acid sting test, patch test, etc., to objectively evaluate the sensitivity of the skin.

[0078] Historical usage data: Collect the feedback of the user's past use of the depilator, including whether there are adverse reactions such as redness, swelling, and pain.

[0079] Then, a questionnaire can be designed to let the user score the sensitivity of different skin areas (0-10 points), where 0 means completely insensitive and 10 means very sensitive. Or according to the results of the skin test, the sensitivity can be divided into several levels, and each level corresponds to a score range. For example: 0-2 points: almost insensitive; 3-5 points: mildly sensitive; 6-8 points: moderately sensitive; 9-10 points: highly sensitive. Preferably, the two results of the questionnaire and the skin test can also be combined, and the final sensitivity score can be determined by weighted summation.

[0080] For the analysis of the hair follicle situation, a high-resolution skin imaging device (such as a dermoscope, optical coherence tomography OCT) can be used to take skin images of different areas and analyze the density, size, and distribution of the hair follicles. The user self-report can also be combined, and the user can be asked about the hair growth situation, such as the thickness, color, and growth rate of the hair. For example, the obtained hair follicle score results are: 0-2 points: sparse hair follicles, fine hair; 3-5 points: medium density hair follicles, medium thickness hair; 6-8 points: dense hair follicles, thicker hair; 9-10 points: very dense hair follicles, very thick hair.

[0081] Furthermore, according to the analysis results, divide the depilation priorities of different areas and generate a depilation path recommendation scheme, including:

[0082] When the sensitivity value is greater than the preset sensitivity threshold, the corresponding area is used as the first depilation area;

[0083] When the sensitivity value is less than or equal to a preset sensitivity threshold and the number of hair follicles is greater than a preset number threshold, the corresponding area is taken as the second hair removal area;

[0084] When the sensitivity value is less than or equal to a preset sensitivity threshold and the number of hair follicles is less than or equal to a preset number threshold, the corresponding area is taken as the third hair removal area;

[0085] Among them, the hair removal priority order of the first hair removal area, the second hair removal area and the third hair removal area decreases in turn; for the hair removal areas at the same priority, the hair removal path is determined according to the hair growth direction.

[0086] Currently, when users remove hair, they may just follow personal habits. For example, they remove hair from head to toe in order from top to bottom. However, the working parameters for hair removal in different areas usually vary greatly. If they just blindly follow their feelings to determine the hair removal order, it may lead to frequent switching of the working parameters of the hair remover. For example, the face and neck are more sensitive, the arms are less sensitive, the abdomen is more sensitive, and the legs are relatively less sensitive. Then, removing hair in this order will frequently switch the working mode, accelerating the aging and damage of the instrument. And each time the mode is switched, the hair remover needs a certain adaptation time, which will also affect the hair removal efficiency. Therefore, this embodiment aims to make a scientific regional and priority division to plan a reasonable hair removal path, so that the hair removal areas at the same priority can complete hair removal within a certain time range, avoiding the problem of repeated switching of the hair removal parameters of the instrument.

[0087] For the convenience of understanding, the following uses a specific example to illustrate:

[0088] Suppose that after dividing the areas, we get:

[0089] Priority 1: The first hair removal area: sensitive areas (such as the face, neck, armpits);

[0090] Priority 2: The second hair removal area: areas with a large number of hair follicles but not very sensitive (such as the bikini area, legs);

[0091] Priority 3: The third hair removal area: areas with a small number of hair follicles and not very sensitive (such as the arms, back).

[0092] Therefore, during the hair removal operation, the hair removal work for the first hair removal area with priority 1 can be carried out first, selecting a lower energy density and a shorter residence time. Irradiate each area once and observe the skin reaction. Use a cooling gel or spray to help cool the skin. Then carry out the hair removal for the second hair removal area, selecting a medium energy density and an appropriate residence time. Irradiate each area 1 to 2 times, ensuring a few seconds of interval between each irradiation. Finally, carry out the hair removal for the third hair removal area, selecting a higher energy density and a longer residence time. Irradiate each area 1 to 2 times, ensuring a few seconds of interval between each irradiation, etc. When removing hair, pay attention to slowly moving the hair removal device along the hair growth direction to reduce skin pulling and discomfort.

[0093] S70. Generate a target hair removal recommendation plan based on the hair removal parameter recommendation plan and the hair removal path recommendation plan.

[0094] Finally, combining the hair removal parameter recommendation plan and the hair removal path recommendation plan can obtain a complete target hair removal recommendation plan.

[0095] See Figure 2 , in one embodiment, after step S70, it further includes:

[0096] S80. Dynamically adjust the energy density and pulse width in the hair removal parameter recommendation plan according to the analysis results of the user's sensitivity analysis and hair follicle condition analysis, specifically as follows:

[0097]

[0098] In the formula, E and P represent the adjusted energy density and pulse width, E0 and P0 represent the initial energy density and initial pulse width recommended in the hair removal parameter recommendation plan; T is the skin color type, divided into 1 - 6 levels; S is the sensitivity score, divided into 0 - 10 points; H is the hair thickness, divided into 1 - 10 levels; F is the comfort score feedback by the user, divided into 0 - 10 points; k1, k2, k3, k4, g1, g2, g3, g4 are all adjustment factors, and their numerical values are determined by polynomial regression fitting.

[0099] Generally, the recommended values of wavelength, energy density, pulse width, repetition frequency and contact pressure under different skin types are as follows in the table:

[0100] Table 1

[0101]

[0102] When the user obtains the initial recommended hair removal working parameters according to the clustering analysis results, they are often within the range provided in the above table. However, there are still individual differences among different users. Therefore, this embodiment needs to introduce a dynamic adjustment mechanism to flexibly adjust the parameters to adapt to different users.

[0103] In the above formula, k1 represents the influence of skin color type. The larger the exponent, the higher the energy required for dark skin. k2 represents the influence of sensitivity. The larger the exponent, the lower the energy required for sensitive skin. k3 represents the influence of hair thickness. The larger the exponent, the higher the energy required for thick hair. k4 represents the influence of historical feedback data. The larger the exponent, the lower the energy required for users with a history of discomfort. g1 represents the influence of skin color type. The larger the exponent, the longer the pulse required for dark skin. g2 represents the influence of sensitivity. The larger the exponent, the longer the pulse required for sensitive skin. g3 represents the influence of hair thickness. The larger the exponent, the longer the pulse required for thick hair. g4 represents the influence of historical feedback data. The larger the exponent, the longer the pulse required for users with a history of discomfort.

[0104] When using polynomial regression to fit the adjustment factors k1, k2, k3, k4, g1, g2, g3, g4, the following steps are specifically included:

[0105] 1) Assume that the relationship between energy density and pulse width and each parameter is non-linear.

[0106] 2) Construct a feature matrix including the power terms of T, S, H, and F.

[0107] 3) Use the least squares method or other optimization algorithms to fit the polynomial regression model.

[0108] 4) Evaluate the performance of the model and use methods such as cross-validation to ensure the generalization ability of the model.

[0109] Among them, a set of preferably fitted values of the adjustment factors are: k1, k2, k3, k4 take the values of 1.2, 1.5, 0.8, and 1.3 respectively; g1, g2, g3, g4 take the values of 1.1, 1.4, 1.2, and 1.1 respectively.

[0110] Substitute the above adjustment factors into the above formula, and substitute the values of T, S, H, and F of the user into the formula, then the energy density and pulse width can be dynamically adjusted to make the working parameters of the hair removal device more accurate and improve the hair removal effect.

[0111] In summary, the method provided in this embodiment can at least achieve the following beneficial effects:

[0112] 1) By responding to the identity information input by the user, collect the user's skin image to identify the user's skin color type, and judge the user's usage permission based on the user's identity information and skin color type. When it is determined that the usage permission is not passed, the user is prohibited from using the hair removal device through voice prompts; when it is determined that the usage permission is passed, the hair removal solution is considered for recommendation. Through automatic user identity recognition and permission management, it is ensured that only users suitable for using the hair removal device can operate it, effectively avoiding misuse by minors, pregnant women, or users with specific health conditions, and greatly improving the safety of using the hair removal device.

[0113] 2) When it is determined that the usage permission is passed, judge whether the user attribute is a first-time user; if so, construct a hair removal solution database based on the hair removal working parameters, skin color characteristics, and hair removal feedback data of different historical users using the hair removal device, perform cluster analysis on the user's age and skin color type with the hair removal solution database, and determine the hair removal parameter solution; if not, generate a hair removal parameter recommendation solution according to the user's preference. Through data analysis and clustering algorithms, personalized hair removal parameter solutions can be generated quickly and accurately, ensuring that each user can obtain the most suitable hair removal effect for themselves, avoiding users blindly using the hair removal device based on personal feelings, and improving user experience and satisfaction.

[0114] 3) Identify the area to be hair removed by the user, divide the area to be hair removed according to the skin color type, analyze the sensitivity and hair follicle conditions of the skin in different areas, divide the hair removal priorities of different areas according to the analysis results, and generate a recommended hair removal path solution. According to the hair removal parameter recommendation solution and the hair removal path recommendation solution, generate a target hair removal recommendation solution. The present invention not only recommends a hair removal parameter solution that meets the user's comfort through cluster analysis, but also considers the priorities of the hair removal path and sequence. For example, areas with high priority such as the face and neck can be hair removed first, using a hair removal parameter mode that is relatively close; while the arms and legs have relatively low priority and can be operated later. This can avoid the problem of large differences in working modes in different areas and frequent switching, thereby accelerating the aging of the instrument and increasing safety risks. In addition, when determining the hair removal path, areas in the same priority area will be hair removed in sequence considering the hair growth direction. Therefore, the present invention can provide scientific guidance for the user's hair removal, greatly enhancing the user experience and hair removal effect.

[0115] 4) Introduce a dynamic adjustment mechanism, dynamically adjust the energy density and pulse width in the hair removal parameter recommendation solution according to the analysis results of the user's sensitivity analysis and hair follicle condition analysis, continuously optimize the hair removal solution during the user's use process, provide more scientific and reasonable parameter and path suggestions, improve the flexibility of using the hair removal device, and overall enhance the hair removal effect and user satisfaction.

[0116] See Figure 3, in one embodiment, the present invention further provides an intelligent control device for multi-functional use of a hair removal device based on user identification, and the device includes:

[0117] An authority analysis module 100, configured to respond to the identity information input by the user, collect the skin image of the user to identify the skin color type of the user, and determine the usage authority of the user according to the identity information and skin color type of the user; the identity information includes the user's age, drug use situation, and pregnancy situation;

[0118] A voice prompt module 200, configured to, when it is determined that the usage authority is not passed, prompt the user not to use the hair removal device through voice;

[0119] A parameter recommendation module 300, configured to, when it is determined that the usage authority is passed, determine whether the user attribute is a first-time user; if so, construct a hair removal plan database according to the hair removal working parameters, skin color characteristics, and hair removal feedback data of different historical users using the hair removal device, perform cluster analysis on the user's age and skin color type with the hair removal plan database, and determine the hair removal parameter plan; if not, generate a hair removal parameter recommendation plan according to the user's preference;

[0120] A path recommendation module 400, configured to identify the area to be hair removed by the user, divide the area to be hair removed according to the skin color type, perform sensitivity analysis and hair follicle condition analysis on the skin of different areas, divide the hair removal priorities of different areas according to the analysis results, and generate a hair removal path recommendation plan;

[0121] A plan generation module 500, configured to generate a target hair removal recommendation plan according to the hair removal parameter recommendation plan and the hair removal path recommendation plan.

[0122] In one embodiment, the path recommendation module 400, configured to divide the hair removal priorities of different areas according to the analysis results and generate a hair removal path recommendation plan, includes:

[0123] When the sensitivity value is greater than the preset sensitivity threshold, the corresponding area is used as the first hair removal area;

[0124] When the sensitivity value is less than or equal to the preset sensitivity threshold and the number of hair follicles is greater than the preset number threshold, the corresponding area is used as the second hair removal area;

[0125] When the sensitivity value is less than or equal to the preset sensitivity threshold and the number of hair follicles is less than or equal to the preset number threshold, the corresponding area is used as the third hair removal area;

[0126] Among them, the hair removal priorities of the first hair removal area, the second hair removal area, and the third hair removal area decrease in turn; for the hair removal areas in the same priority, the hair removal path is determined according to the hair growth direction.

[0127] See Figure 4, in one embodiment, the device further comprises:

[0128] A dynamic adjustment module 600, configured to dynamically adjust the energy density and pulse width in the hair removal parameter recommendation scheme according to the analysis results of the user's sensitivity analysis and hair follicle condition analysis, specifically as follows:

[0129]

[0130] Wherein, E and P represent the adjusted energy density and pulse width, and E0 and P0 represent the recommended initial energy density and initial pulse width in the hair removal parameter recommendation scheme; T is the skin color type, divided into 1-6 levels; S is the sensitivity score, divided into 0-10 points; H is the hair thickness, divided into 1-10 levels; F is the comfort score feedback by the user, divided into 0-10 points; k1, k2, k3, k4, g1, g2, g3, and g4 are all adjustment factors, and their numerical values are determined by polynomial regression fitting.

[0131] It can be understood that the functions or modules included in the system provided in this embodiment can be used to execute the methods described in the above method embodiments. The specific implementation can refer to the description of the above method embodiments. For the sake of brevity, it will not be repeated here.

[0132] The present invention also provides an electronic device, including a processor and a memory. The memory is used to store computer program code, and the computer program code includes computer instructions. When the processor executes the computer instructions, the electronic device executes the method in any of the above possible implementation manners.

[0133] The present invention also provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions. When the program instructions are executed by the processor of the electronic device, the processor is caused to execute the method in any of the above possible implementation manners.

[0134] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0135] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein. Those skilled in the art can also clearly understand that each embodiment of the present invention has different emphases in description. For the convenience and brevity of description, the same or similar parts may not be elaborated in different embodiments. Therefore, for the parts not described or not described in detail in a certain embodiment, reference can be made to the descriptions of other embodiments.

Claims

1. A multi-functional intelligent control method for a hair removal device based on user identification, characterized in that, The method includes: In response to the identity information input by the user, collecting the skin image of the user to identify the skin color type of the user, and judging the usage permission of the user according to the identity information and skin color type of the user; the identity information includes the user's age, drug use situation and pregnancy situation; When it is determined that the usage permission is not passed, the user is prompted by voice to prohibit the use of the hair removal device; When it is determined that the usage permission is passed, it is judged whether the user attribute is a first-time user; if so, a hair removal plan database is constructed according to the hair removal working parameters, skin color characteristics and hair removal feedback data of different historical users using the hair removal device, and the user's age and skin color type are clustered and analyzed with the hair removal plan database to determine the hair removal parameter plan; if not, a hair removal parameter recommendation plan is generated according to the user's preference; Identify the area to be hair removed by the user, divide the area to be hair removed according to the skin color type, analyze the sensitivity and hair follicle condition of the skin in different areas, divide the hair removal priorities of different areas according to the analysis results, and generate a hair removal path recommendation plan; Generate a target hair removal recommendation plan according to the hair removal parameter recommendation plan and the hair removal path recommendation plan.

2. The intelligent control method for multi-functional use of a hair removal device based on user identification according to claim 1, wherein, The dividing the hair removal priorities of different areas according to the analysis results and generating a hair removal path recommendation plan includes: When the sensitivity value is greater than the preset sensitivity threshold, the corresponding area is used as the first hair removal area; When the sensitivity value is less than or equal to the preset sensitivity threshold and the number of hair follicles is greater than the preset number threshold, the corresponding area is used as the second hair removal area; When the sensitivity value is less than or equal to the preset sensitivity threshold and the number of hair follicles is less than or equal to the preset number threshold, the corresponding area is used as the third hair removal area; Among them, the hair removal priority order of the first hair removal area, the second hair removal area and the third hair removal area decreases in turn; for the hair removal areas in the same priority, the hair removal path is determined according to the hair growth direction.

3. The intelligent control method for multi-functional use of a hair removal device based on user identification according to claim 1, characterized in that, The method further includes: According to the analysis results of the user's sensitivity analysis and hair follicle condition analysis, dynamically adjust the energy density and pulse width in the hair removal parameter recommendation plan, specifically as follows: In the formula, E and P represent the adjusted energy density and pulse width, E0 and P0 represent the initial energy density and initial pulse width recommended in the hair removal parameter recommendation plan; T is the skin color type, divided into 1-6 levels; S is the sensitivity score, divided into 0-10 points; H is the hair thickness, divided into 1-10 levels; F is the comfort score feedback by the user, divided into 0-10 points; k1, k2, k3, k4, g1, g2, g3, g4 are all adjustment factors, and the numerical values are determined by polynomial regression fitting.

4. A multi-functional intelligent control device for a hair removal instrument based on user identification, characterized in that, The device includes: A permission analysis module, which is used to respond to the identity information input by the user, collect the skin image of the user to identify the skin color type of the user, and judge the usage permission of the user according to the identity information and skin color type of the user; the identity information includes the user's age, drug use situation and pregnancy situation; A voice prompt module, which is used to prompt the user to prohibit the use of the hair removal device by voice when it is determined that the usage permission is not passed; A parameter recommendation module, which is used to determine whether the user attribute is a first-time user when it is determined that the usage permission is passed; if so, construct a hair removal plan database based on the hair removal working parameters, skin color characteristics, and hair removal feedback data of different historical users using the hair removal device, perform cluster analysis on the user age and skin color type with the hair removal plan database, and determine the hair removal parameter plan; if not, generate a hair removal parameter recommendation plan according to the user preferences; A path recommendation module, which is used to identify the area to be hair removed by the user, divide the area to be hair removed according to the skin color type, perform sensitivity analysis and hair follicle condition analysis on the skin of different areas, divide the hair removal priorities of different areas according to the analysis results, and generate a hair removal path recommendation plan; A plan generation module, which is used to generate a target hair removal recommendation plan according to the hair removal parameter recommendation plan and the hair removal path recommendation plan.

5. The intelligent control device for multi-functional use of a hair removal device based on user identification according to claim 4, characterized in that, The path recommendation module, which is used to divide the hair removal priorities of different areas according to the analysis results and generate a hair removal path recommendation plan, includes: When the sensitivity value is greater than the preset sensitivity threshold, the corresponding area is used as the first hair removal area; When the sensitivity value is less than or equal to the preset sensitivity threshold and the number of hair follicles is greater than the preset number threshold, the corresponding area is used as the second hair removal area; When the sensitivity value is less than or equal to the preset sensitivity threshold and the number of hair follicles is less than or equal to the preset number threshold, the corresponding area is used as the third hair removal area; Among them, the hair removal priority order of the first hair removal area, the second hair removal area, and the third hair removal area decreases in turn; for the hair removal areas in the same priority, the hair removal path is determined according to the hair growth direction.

6. The intelligent control device for multi-functional use of a hair removal device based on user identification according to claim 4, characterized in that, The device further includes: A dynamic adjustment module, which is used to dynamically adjust the energy density and pulse width in the hair removal parameter recommendation plan according to the analysis results of the user's sensitivity analysis and hair follicle condition analysis, specifically as follows: In the formula, E and P represent the adjusted energy density and pulse width, E0 and P0 represent the initial energy density and initial pulse width recommended in the hair removal parameter recommendation plan; T is the skin color type, which is divided into 1-6 levels; S is the sensitivity score, which is divided into 0-10 points; H is the hair thickness, which is divided into 1-10 levels; F is the comfort score feedback by the user, which is divided into 0-10 points; k1, k2, k3, k4, g1, g2, g3, g4 are all adjustment factors, and their numerical values are determined by polynomial regression fitting.

7. An electronic device, characterized in that, Including: A processor and a memory, the memory is used to store computer program code, the computer program code includes computer instructions, when the processor executes the computer instructions, the electronic device executes the intelligent control method for multi-functional use of the hair removal device based on user identification according to any one of claims 1 to 3.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, the computer program includes program instructions, and when the program instructions are executed by the processor of the electronic device, the processor is enabled to execute the intelligent control method for multi-functional use of the hair removal device based on user identification according to any one of claims 1 to 3.

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