A laser hair removal device with multi-wavelength adaptive switching

Abstract

The present invention relates to the technical field of laser hair removal devices, and particularly to a laser hair removal device with multi-wavelength adaptive switching, which includes an optical sensor, an infrared sensor, and a beam shaping module. When the hair removal device is working, it determines the hair state index and the skin state index; combines the hair state index and the skin state index to determine the device working condition coefficient for the current time; combines the device working condition coefficient and the average laser wavelength during the previous hair removal to determine the initial device wavelength for the current hair removal, and performs traversal hair removal based on the initial device wavelength; uses the infrared sensor to determine the remaining hair amount after the current hair removal, activates the fixed-point hair removal mode according to the remaining hair amount, adjusts the device wavelength according to the thickness and color of the remaining hair, and performs fixed-point hair removal based on the beam shaping module. In the embodiments of the present invention, while effectively removing hair, it reduces the damage to the skin caused by repeated hair removal and improves the hair removal effect.

Description

Technical Field

[0001] The present invention relates to the technical field of laser hair removal devices, and particularly relates to a laser hair removal device with multi-wavelength adaptive switching. Background Art

[0002] A laser hair removal device is a beauty instrument that uses laser technology for hair removal. It mainly works based on the principle of selective photothermal action, emitting laser light of a specific wavelength. These lasers can penetrate the skin surface and reach the root of the hair follicle. The melanin in the hair follicle has the characteristic of selectively absorbing the light energy of the laser, converting the light energy into heat energy, thereby destroying the hair follicle tissue and making it lose the ability to grow hair, achieving the effect of hair removal (Publication No.: CN118634030A).

[0003] Among them, a laser hair removal device with multi-wavelength switching can more comprehensively cover hairs of different depths, different colors, and skins of different complexions by combining lasers of multiple different wavelengths, improving the hair removal effect and the scope of application. However, when the existing multi-wavelength adaptive switching laser hair removal device is working, it still needs to repeatedly irradiate the skin surface multiple times. That is, when the hair cannot be completely removed, it is necessary to increase the gear and re-perform hair removal. This not only increases the probability of skin surface damage due to repeated irradiation of the cleared area, but also causes the hair to be irradiated by the laser multiple times, resulting in curling changes, which in turn affects the hair removal effect. Summary of the Invention

[0004] In order to solve the technical problems in the related art that not only increases the probability of skin surface damage due to repeated irradiation of the cleared area, but also causes the hair to be irradiated by the laser multiple times, resulting in curling changes, which in turn affects the hair removal effect, the present invention provides a laser hair removal device with multi-wavelength adaptive switching, and the specific technical solution adopted is as follows:

[0005] The present invention provides a laser hair removal device with multi-wavelength adaptive switching, including: a hair removal device body, an optical sensor and an infrared sensor are arranged on the end face of the hair removal device in contact with the skin, and a beam shaping module is arranged in the laser generating component; the optical sensor is used to obtain the color of the skin surface and the color of the hair, and the infrared sensor is used to identify the position and thickness of the hair;

[0006] When the hair removal device is working, obtain the time interval between the current hair removal and the previous hair removal, the average diameter and the average gray value of the hair during the previous hair removal, and combine the time interval, the average diameter and the average gray value of the hair during the previous hair removal to determine the hair state index of the current hair removal;

[0007] According to the difference between the color of the skin surface during the current hair removal and the color of the skin surface during the previous multiple hair removals, determine the skin state index of the current time; combine the hair state index and the skin state index to determine the equipment working condition coefficient of the current time;

[0008] Combine the equipment condition coefficient during the current hair removal and the previous hair removal, and the average laser wavelength during the previous hair removal to determine the initial equipment wavelength for the current hair removal, and perform traversal hair removal based on the initial equipment wavelength;

[0009] Use an infrared sensor to determine the remaining hair amount after the current hair removal, turn on the fixed-point hair removal mode according to the remaining hair amount, adjust the equipment wavelength according to the thickness and color of the remaining hair, and perform fixed-point hair removal based on the beam shaping module.

[0010] Furthermore, the beam shaping module is used to adjust the shape and range of the laser emitted by the laser generating component according to the detected position of the remaining hair, and limit it at the position of the hair root.

[0011] Furthermore, it also includes a touchable display screen, installed on the surface of the housing, used to display the working state of the laser hair removal device, the currently used parameters, the remaining power, and at the same time used to control and adjust the working parameters of the laser hair removal device.

[0012] Furthermore, the method for determining the hair state index includes:

[0013] Respectively calculate the average diameter and the average gray value of the hair during the previous hair removal, and perform normalization processing to obtain the hair diameter index and the hair gray index of the previous hair removal;

[0014] Calculate the difference between the hair diameter index and the hair gray index to obtain a state analysis parameter;

[0015] Normalize the ratio of the state analysis parameter to the time interval as the hair state index.

[0016] Furthermore, the method for determining the skin state index for the current hair removal according to the difference in the skin surface color during the current hair removal and the skin surface colors during the previous multiple hair removals includes:

[0017] Respectively calculate the average gray value of the skin surface during the current hair removal and the average gray values of the skin surfaces during the previous preset number of hair removals;

[0018] Calculate the absolute value of the difference between the average gray value of the skin surface corresponding to the current time and the average gray values of the skin surfaces during the previous preset number of times;

[0019] Normalize the opposite number of the product of the absolute value of the difference and the average gray value of the skin surface during the current hair removal as the skin state index for the current time.

[0020] Furthermore, the method for determining the equipment condition coefficient for the current time by combining the hair state index and the skin state index includes:

[0021] Calculate the product value of the hair state index and the skin state index, and perform normalization processing as the device operating condition coefficient for the current time.

[0022] Further, determining the initial device wavelength for the current hair removal in combination with the device operating condition coefficient during the current and previous hair removals and the average laser wavelength during the previous hair removal includes:

[0023] Calculate the ratio of the device operating condition coefficient during the current hair removal to the device operating condition coefficient during the previous hair removal as the operating condition ratio;

[0024] Multiply the average laser wavelength during the previous hair removal by the operating condition ratio as the initial device wavelength for the current hair removal.

[0025] Further, turning on the fixed-point hair removal mode according to the remaining hair amount includes:

[0026] Calculate the remaining hair density based on the remaining hair amount;

[0027] When the remaining hair density is greater than the preset density threshold, turn on the fixed-point hair removal mode.

[0028] Further, the preset density threshold is 5 hairs per square centimeter.

[0029] Further, adjusting the device wavelength according to the thickness and color of the remaining hair includes:

[0030] Detect the diameter of each remaining hair and perform normalization processing as the diameter state value of the corresponding remaining hair;

[0031] Detect the average gray value of the hair area corresponding to each remaining hair, and perform normalization processing on the opposite number of the average gray value as the gray state value of the corresponding remaining hair;

[0032] Adjust the device wavelength according to the diameter state value and the gray state value, wherein the larger the values of the diameter state value and the gray state value, the shorter the device wavelength.

[0033] The present invention has the following beneficial effects:

[0034] In the embodiment of the present invention, by configuring an optical sensor, an infrared sensor, and a beam shaping module, the overall hair removal process is divided into two major stages, namely the traversing hair removal stage and the fixed-point hair removal stage. In the traversing hair removal stage, according to the time interval between the current hair removal and the previous hair removal, the average diameter and the average gray value of the hair during the previous hair removal, combining the time interval, the average diameter and the average gray value of the hair during the previous hair removal, determine the hair state index of the current hair removal; and according to the difference between the skin surface color during the current hair removal and the skin surface color during the previous multiple hair removals, determine the skin state index of the current time. Through two dimensions of hair analysis and skin analysis, determine the equipment working condition of the laser hair removal device, so as to be able to realize the adaptive adjustment of the initial equipment wavelength under the corresponding working condition. Compared with the prior art that uses a fixed laser wavelength for hair removal treatment, the present invention can reasonably set the wavelength according to different skins and different hair states, effectively improving the stable effect of traversing hair removal; after traversing hair removal, use the infrared sensor to determine the remaining hair amount after the current hair removal, start the fixed-point hair removal mode according to the remaining hair amount, adjust the equipment wavelength according to the thickness and color of the remaining hair, and perform fixed-point hair removal based on the beam shaping module. Through the fixed-point hair removal mode, avoid secondary repeated hair removal due to excessive remaining hair, reduce the laser damage to the skin, and at the same time, the adaptive adjustment method can also effectively remove the remaining hair. In summary, in the embodiment of the present invention, while effectively removing hair, reduce the damage to the skin caused by repeated hair removal and improve the hair removal effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0036] Figure 1 The structural diagram of a laser hair removal device with multi-wavelength adaptive switching provided by an embodiment of the present invention;

[0037] Figure 2 The schematic diagram of the hair growth cycle provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following specifically describes, with reference to the accompanying drawings and preferred embodiments, a laser hair removal device with multi-wavelength adaptive switching proposed according to the present invention, including its specific implementation manner, structure, features and effects, as follows. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0039] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0040] The following specifically describes the specific solution of a laser hair removal device with multi-wavelength adaptive switching provided by the present invention with reference to the accompanying drawings.

[0041] Please refer to Figure 1 , which shows the structure diagram of a laser hair removal device with multi-wavelength adaptive switching provided by an embodiment of the present invention, including: a hair removal device body, an optical sensor and an infrared sensor are arranged on the end face of the hair removal device in contact with the skin, and a beam shaping module is arranged in the laser generating assembly.

[0042] It should be noted that the optical sensor in the embodiment of the present invention is mainly used to obtain the image of the user's skin surface, and the image of the skin surface mainly includes the images of the skin and hair. In the embodiment of the present invention, since the skin gray scale and hair gray scale are mainly analyzed, thus, in the embodiment of the present invention, the user's skin surface image can also be directly subjected to average gray scale processing to obtain the corresponding gray scale image. Of course, in some other embodiments of the present invention, the RGB color analysis can also be directly performed on the user's skin surface image, and no limitation is imposed on this.

[0043] Among them, the infrared sensor is mainly used to analyze the morphological characteristics of the hair itself, such as the thickness and position of the hair.

[0044] First, the handheld laser hair removal device needs to be charged before use to ensure sufficient power during use; further, check the indicator light of the laser hair removal device to determine whether there is any damage or abnormal state in the handheld laser hair removal device, and finally, after confirming that the device state is normal, prepare for use.

[0045] In the embodiments of the present invention, the overall working process of the laser hair removal device is divided into two modes. One is the traversing hair removal mode, and the other is the fixed-point hair removal mode. It should be noted that in the traversing hair removal mode, the laser hair removal device performs traversing hair removal on the irradiated skin area using a fixed laser wavelength and intensity, while in the fixed-point hair removal mode, the laser is used to perform fixed-point removal at the hair root according to the hair position. For each hair, its adaptive laser wavelength is analyzed. In the embodiments of the present invention, the traversing hair removal mode is first used for traversing, and then the fixed-point hair removal mode is used for fixed-point removal.

[0046] In the embodiments of the present invention, an optical sensor and an infrared sensor can be combined into a sensor group and configured on the end face of the hair removal device in contact with the skin to realize the data acquisition process.

[0047] The overall process is as follows:

[0048] When the hair removal device is working, obtain the time interval between the current hair removal and the previous hair removal, the average diameter and the average gray value of the hair during the previous hair removal. Combine the time interval, the average diameter and the average gray value of the hair during the previous hair removal to determine the hair state index of the current hair removal.

[0049] According to the difference between the skin surface color during the current hair removal and the skin surface colors during the previous multiple hair removals, determine the skin state index of the current time; combine the hair state index and the skin state index to determine the device working condition coefficient of the current time.

[0050] Combine the device working condition coefficients during the current and previous hair removals and the average laser wavelength during the previous hair removal to determine the initial device wavelength for the current hair removal, and perform traversing hair removal based on the initial device wavelength.

[0051] Use the infrared sensor to determine the remaining hair amount after the current hair removal. According to the remaining hair amount, turn on the fixed-point hair removal mode, adjust the device wavelength according to the thickness and color of the remaining hair, and perform fixed-point hair removal based on the beam shaping module.

[0052] The purpose of the embodiments of the present invention is to remove the easily removable hairs on the skin surface through traversing hair removal during hair removal, identify and record the difficult-to-remove hairs, and then perform secondary fixed-point hair removal treatment on the difficult-to-remove hairs by adaptively switching the wavelength, so as to achieve effective hair removal.

[0053] In some embodiments of the present invention, the laser hair removal device further includes a touchable display screen installed on the surface of the housing, which is used to display the working state of the laser hair removal device, the currently used parameters, and the remaining power, and is also used to control and adjust the working parameters of the laser hair removal device.

[0054] The growth cycle of human hair is divided into the growth phase, the regression phase and the resting phase. See Figure 2 ,Figure 2 A schematic diagram of the hair growth cycle provided by an embodiment of the present invention; hairs in different periods vary in hardness, appearance, and response to laser hair removal.

[0055] At the same time, due to the changes in the skin types of different users, when irradiated with lasers of different wavelengths, it is easy to cause different degrees of damage. For example, more sensitive skin has a higher probability of damage when exposed to stronger lasers.

[0056] In summary, when a laser hair removal device performs hair removal, it is difficult to effectively balance the hair removal efficiency and the protection of the user. A higher laser intensity (short wavelength) may cause skin damage, while a lower laser intensity (long wavelength) may result in the hair not being smoothly removed, thus requiring repeated hair removal, which ultimately still causes skin damage. Therefore, a laser hair removal device with multi-wavelength adaptive switching and better hair removal effect is needed.

[0057] It should be noted that the hair state is a state parameter of the hair to be removed during the current hair removal. In the embodiments of the present invention, the hair state of the end face in contact with the skin of the hair removal device during the current hair removal can be directly analyzed based on the overall average hair diameter and the average gray value during the previous hair removal, or the user can also set the hair removal area by themselves, such as the thigh area, armpit, etc., so as to analyze the average hair diameter, average gray value, and time interval of each area, and determine the hair state in the corresponding end face area during the current time.

[0058] Furthermore, it should be noted that the previous hair removal time can specifically be, for example, the previous power-on time of the hair removal device. Since multiple power-on and power-off operations may be triggered during the same hair removal, the previous hair removal time can also be set as different dates according to actual usage habits. For example, hair removal within today is collectively referred to as one hair removal time, or the time judgment between power-on and power-off can also be set, and the use of the hair removal device within 5 hours of power-on and power-off is regarded as one hair removal, thereby determining the current and previous hair removal times.

[0059] Furthermore, in some embodiments of the present invention, the method for determining the hair state index includes: respectively normalizing the average diameter and the average gray value of the hair during the previous hair removal to obtain the hair diameter index and the hair gray index of the previous hair removal; calculating the difference between the hair diameter index and the hair gray index to obtain the state analysis parameter; and normalizing the ratio of the state analysis parameter to the time interval as the hair state index.

[0060] It should be noted that as the hair grows, the hair diameter gradually becomes thicker, and the hair gradually changes from yellowish - gray to black. Thus, the larger the value of the hair diameter index, the more lush the hair growth, and the smaller the gray - scale value of the hair, the more lush the hair growth. In the embodiments of the present invention, first, the average diameter and the average gray - scale value of the hair are respectively normalized to remove the influence of dimensions. Then, the difference between the hair diameter index and the hair gray - scale index is directly calculated to obtain the state analysis parameter. That is, the larger the value of the state analysis parameter, the larger the corresponding hair diameter and the smaller the hair gray - scale value. Thus, it is more in line with the situation of more lush hair growth.

[0061] It can be understood that the smaller the time interval, the shorter the hair growth cycle. At this time, it is easier to absorb (short - wavelength) laser. Thus, in order to represent the hair state, the ratio of the state analysis parameter to the time interval is normalized as the hair state index. That is, the hair state index represents the absorption effect of the hair itself on the laser; the larger the value of the hair state index, the darker the hair color, the larger the diameter, and the shorter the growth cycle. Then, the corresponding hair is easier to absorb short - wavelength laser, and the laser hair removal device can use short - wavelength laser to achieve effective and reliable hair removal effect.

[0062] Since the skin state will also affect the laser effect, such as allergic skin, redness, swelling, and itching, etc., it is necessary to reduce the damage of the laser to the skin. And the smaller the wavelength, the more serious the impact on the skin. Therefore, in the embodiments of the present invention, according to the difference between the skin surface color at the current hair removal and the skin surface colors at the previous multiple hair removals, the skin state index at the current time is determined, so as to use the skin state index to characterize the skin state information of the current hair removal.

[0063] It can be understood that because the skin colors of different people are inconsistent, directly analyzing according to the skin color will result in a low applicable range. In the embodiments of the present invention, the skin state index analysis is carried out by combining the difference between the skin surface color at the current hair removal and the skin surface colors at the previous multiple hair removals.

[0064] Further, in some embodiments of the present invention, determining the skin state index at the current time according to the difference between the skin surface color at the current hair removal and the skin surface colors at the previous multiple hair removals includes: respectively calculating the average gray - scale value of the skin surface at the current hair removal and the average gray - scale values of the skin surfaces at the previous preset number of hair removals; calculating the absolute value of the difference between the average gray - scale value at the current time and the average gray - scale values at the previous preset number of times corresponding to the skin surface; normalizing the opposite number of the product of the absolute value of the difference and the gray - scale value of the skin surface at the current hair removal as the skin state index at the current time.

[0065] Among them, the preset quantity is the specific quantity in the previous multiple times. In the embodiments of the present invention, it can be 5, that is, the average gray value of the skin surface during the previous 5 hair removals is used as a normal skin level, so as to perform difference analysis on the gray value average between the current time and the previous 5 times. The larger the absolute value of the difference, the worse the skin state of the current time. Since the skin state index is a parameter for subsequent laser wavelength analysis, skin color also has a certain impact on the absorption of laser wavelength. The darker the skin color, the easier it is to absorb short-wavelength laser. Therefore, in the embodiments of the present invention, the product of the absolute value of the difference and the gray value of the skin surface during the current hair removal is calculated. The larger this product value, the more likely the skin surface is in abnormal states such as allergic skin, redness, and itching during the current hair removal. At the same time, the lighter the skin color, the worse the absorption effect of the laser. Therefore, its opposite number is normalized to obtain the skin state index. The larger the value of the skin state index, the easier the skin state is to receive short-wavelength laser.

[0066] In summary, for the calculation and analysis of the hair state index and the skin state index, two data need to be integrated. Combining the hair state index and the skin state index, the equipment working condition coefficient of the current time is determined, including: calculating the product value of the hair state index and the skin state index, and normalizing it as the equipment working condition coefficient of the current time.

[0067] Since the larger the value of the hair state index, the darker the hair color, the larger the diameter, and the shorter the growth cycle, the corresponding hair is more likely to absorb short-wavelength laser, and the laser hair removal device can use short-wavelength laser to achieve effective and reliable hair removal effect. The larger the value of the skin state index, the easier the skin state is to receive short-wavelength laser.

[0068] Therefore, the larger the value of the equipment working condition coefficient, the more the device can use shorter laser for more effective hair removal effect during the current hair removal.

[0069] The frequency of users using the laser hair removal device is usually affected by the hair growth rate. And since the states of the hair and the skin are mainly affected by factors such as the user's own physique and living environment, the initial device wavelength in the traversal stage can be determined through the historical usage information, so as to perform traversal hair removal.

[0070] Further, in some embodiments of the present invention, combining the equipment working condition coefficient at the current time and the previous time of hair removal and the average laser wavelength at the previous time of hair removal, the initial device wavelength for the current time of hair removal is determined, including: calculating the ratio of the equipment working condition coefficient at the current time of hair removal to the equipment working condition coefficient at the previous time of hair removal as the working condition ratio; multiplying the average laser wavelength at the previous time of hair removal by the working condition ratio as the initial device wavelength for the current time of hair removal.

[0071] Among them, by the working condition ratio of the equipment working condition coefficient during the current hair removal to the equipment working condition coefficient of the previous hair removal, and combining the average laser wavelength during the previous hair removal for the current analysis, the initial equipment wavelength during the current hair removal is adaptively adjusted. Through the adjustment of the initial equipment wavelength, it is possible to combine the hair state and skin state during the current hair removal to achieve a more effective and reliable hair removal effect.

[0072] It can be understood that even when using the most effective wavelength for hair removal, there are still some hairs that have not been removed, such as some originally very light hairs, or hairs that are missed during the traversing hair removal. When using a laser hair removal device for hair removal, while the hair detection sensor detects the user's hair state, it also records the hairs that have not been successfully removed during this hair removal, including the state and approximate position of the hairs. According to the state of the remaining hairs that have not been removed, it is determined whether to change the hair removal mode, that is, to change to the fixed-point hair removal mode.

[0073] Furthermore, in some embodiments of the present invention, the fixed-point hair removal mode is enabled according to the remaining hair amount, including: calculating the remaining hair density according to the remaining hair amount; when the remaining hair density is greater than the preset density threshold, enabling the fixed-point hair removal mode. And the preset density threshold is 5 hairs per square centimeter.

[0074] Among them, for the calculation of the remaining hair density, it can be specifically calculated according to the end face area of the corresponding hair removal device in contact with the skin and the number of remaining hairs within the end face. Then, when the remaining hair density is greater than 5 hairs per square centimeter, it indicates that there are still relatively many remaining hairs, and the fixed-point hair removal mode is enabled.

[0075] The fixed-point hair removal mode in the embodiments of the present invention mainly uses a beam shaping module. The beam shaping module is used to adjust the shape and range of the laser emitted by the laser generating component according to the detected position of the remaining hairs, and limit it at the hair root position. That is to say, through the beam shaping module, the position and shape of the laser are adjusted so that it can remove the remaining hairs and complete the positioning hair removal.

[0076] Furthermore, in some embodiments of the present invention, the equipment wavelength is adjusted according to the thickness and color of the remaining hairs, including: detecting the diameter of each remaining hair and performing normalization processing as the diameter state value of the corresponding remaining hair; detecting the average gray value of the hair area corresponding to each remaining hair, and normalizing the negative value of the average gray value as the gray state value of the corresponding remaining hair; adjusting the equipment wavelength according to the diameter state value and the gray state value, where the larger the values of the diameter state value and the gray state value, the shorter the equipment wavelength.

[0077] In an embodiment of the present invention, a wavelength parameter adaptive model can be constructed. The input is the thickness and color of a certain hair, and the output is the suitable working wavelength, such as the selective photothermolysis model (SPT) or the convolutional neural network model (CNN), etc. These are well-known to those skilled in the art and are not limited herein.

[0078] After hair removal is completed, all the information recorded during this use process is stored, including skin status, hair status, working time, working wavelength, etc., to update the user's database. Among them, each piece of information corresponds to its recording time.

[0079] Meanwhile, heat dissipation and temperature reduction are carried out inside the laser hair removal device to ensure the safety of the device, and according to the remaining power and possible abnormal information, prompts and feedback are given to the user using indicator lights and a display screen.

[0080] In an embodiment of the present invention, by configuring an optical sensor, an infrared sensor, and a beam shaping module, the overall hair removal process is divided into two major stages, namely the traversing hair removal stage and the fixed-point hair removal stage. In the traversing hair removal stage, according to the time interval between the current hair removal and the previous hair removal, the average diameter and average gray value of the hair during the previous hair removal, combining the time interval, the average diameter and average gray value of the hair during the previous hair removal, the hair status index of the current hair removal is determined; and according to the difference in the skin surface color during the current hair removal and the skin surface color during the previous multiple hair removals, the skin status index of the current time is determined. Through two dimensions of hair analysis and skin analysis, the device working condition of the laser hair removal device is determined, so that an adaptive initial device wavelength adjustment can be realized under the corresponding working condition. Compared with the related art where hair removal is performed with a fixed laser wavelength, the present invention can set a reasonable wavelength for different skins and different hair statuses, effectively improving the stability effect of traversing hair removal; after traversing hair removal, the infrared sensor is used to determine the remaining hair amount after the current hair removal, and the fixed-point hair removal mode is started according to the remaining hair amount. According to the thickness and color of the remaining hair, the device wavelength is adjusted, and fixed-point hair removal is performed based on the beam shaping module. Through the fixed-point hair removal mode, the secondary repeated hair removal caused by too much remaining hair is avoided, reducing the laser damage to the skin. At the same time, the adaptive adjustment method can also effectively remove the remaining hair. In summary, in the embodiment of the present invention, while effectively removing hair, the damage to the skin caused by repeated hair removal is reduced, and the hair removal effect is improved.

[0081] It should be noted that the above sequence of embodiments of the present invention is only for description and does not represent the superiority or inferiority of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0082] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other, and the differences between each embodiment and other embodiments are emphasized respectively.

Claims

1. A laser hair removal device with multi-wavelength adaptive switching, comprising: Hair removal device body, an optical sensor and an infrared sensor disposed on the end face of the hair removal device in contact with the skin, and a laser generating component; characterized in that a beam shaping module is disposed in the laser generating component; the optical sensor is used to obtain the skin surface color and hair color, and the infrared sensor is used to identify the hair position and hair thickness; When the hair removal device is working, obtain the time interval between the current hair removal and the previous hair removal, the average diameter and the average gray value of the hair during the previous hair removal, and combine the time interval, the average diameter and the average gray value of the hair during the previous hair removal to determine the hair state index of the current hair removal. The hair state index is used to represent the absorption effect of the hair itself on the laser, and the time interval is used to represent the hair growth cycle; According to the difference between the skin surface color during the current hair removal and the skin surface colors during the previous multiple hair removals, determine the skin state index of the current time. The skin state index is used to characterize the skin state information of the current hair removal; combine the hair state index and the skin state index to determine the device working condition coefficient of the current time; Combine the device working condition coefficient during the current hair removal and the previous hair removal and the average laser wavelength during the previous hair removal to determine the initial device wavelength for the current hair removal, and perform traversal hair removal based on the initial device wavelength; Use the infrared sensor to determine the remaining hair amount after the current hair removal, calculate the remaining hair density according to the remaining hair amount, and when the remaining hair density is greater than the preset density threshold, turn on the fixed-point hair removal mode, adjust the device wavelength according to the thickness and color of the remaining hair, and perform fixed-point hair removal based on the beam shaping module.

2. The laser hair removal device with multi-wavelength adaptive switching according to claim 1, wherein, The beam shaping module is used to adjust the shape and range of the laser emitted by the laser generating component according to the detected position of the remaining hair, and limit it at the hair root position.

3. The laser hair removal device with multi-wavelength adaptive switching according to claim 1, wherein It further includes a touchable display screen installed on the surface of the housing of the hair removal device, which is used to display the working state of the laser hair removal device, the currently used parameters, and the remaining power, and is also used to control and adjust the working parameters of the laser hair removal device.

4. The multi-wavelength adaptive switching laser hair removal device according to claim 1, wherein The method for determining the hair state index includes: Normalize the average diameter and the average gray value of the hair during the previous hair removal respectively to obtain the hair diameter index and the hair gray index of the previous hair removal; Calculate the difference between the hair diameter index and the hair gray index to obtain a state analysis parameter; Normalize the ratio of the state analysis parameter to the time interval as the hair state index.

5. The laser hair removal device with multi-wavelength adaptive switching according to claim 1, characterized in that, The method for determining the skin state index of the current time according to the difference between the skin surface color during the current hair removal and the skin surface colors during the previous multiple hair removals includes: Calculate the average gray value of the skin surface during the current hair removal and the average gray values of the skin surfaces during the previous preset number of hair removals respectively; Calculate the absolute value of the difference between the average gray value of the skin surface corresponding to the current time and the previous preset number of times; Normalize the opposite number of the product of the absolute value of the difference and the average gray value of the skin surface during the current hair removal as the skin state index of the current time.

6. The multi-wavelength adaptive switching laser hair removal device according to claim 1, wherein The method for determining the device working condition coefficient of the current time by combining the hair state index and the skin state index includes: Calculate the product value of the hair state index and the skin state index, and perform normalization processing as the equipment working condition coefficient for the current time.

7. The laser hair removal device with multi-wavelength adaptive switching according to claim 1, characterized in that Determine the initial equipment wavelength for the current hair removal by combining the equipment working condition coefficient at the current time and the previous time and the average laser wavelength at the previous hair removal, including: Calculate the ratio of the equipment working condition coefficient at the current hair removal to the equipment working condition coefficient at the previous hair removal as the working condition ratio; Take the product of the average laser wavelength at the previous hair removal and the working condition ratio as the initial equipment wavelength for the current hair removal.

8. The multi-wavelength adaptive switching laser hair removal device according to claim 1, wherein The preset density threshold is 5 hairs per square centimeter.

9. The laser hair removal device with multi-wavelength adaptive switching according to claim 1, wherein, Adjust the equipment wavelength according to the thickness and color of the remaining hairs, including: Detect the diameter of each remaining hair and perform normalization processing as the diameter state value of the corresponding remaining hair; Detect the average gray value of the hair area corresponding to each remaining hair, and normalize the negative value of the average gray value as the gray state value of the corresponding remaining hair; Adjust the equipment wavelength according to the diameter state value and the gray state value, wherein the larger the values of the diameter state value and the gray state value, the shorter the equipment wavelength.

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