Multi-wavelength self-adaptive switching laser hair removal instrument

Abstract

The invention relates to the technical field of laser hair removal instruments, in particular to a multi-wavelength self-adaptive switching laser hair removal instrument, which comprises an optical sensor, an infrared sensor and a beam shaping module, and is characterized in that when the hair removal instrument works, a hair state index and a skin state index are determined; determining a current equipment working condition coefficient in combination with the hair state index and the skin state index; in combination with the equipment working condition coefficient and the average laser wavelength during last-time depilation, the initial equipment wavelength of current-time depilation is determined, and traversal depilation is performed based on the initial equipment wavelength; and determining the residual hair amount after current hair removal by using an infrared sensor, starting a fixed-point hair removal mode according to the residual hair amount, adjusting the wavelength of equipment according to the thickness and color of the residual hair, and carrying out fixed-point hair removal based on a beam shaping module. According to the embodiment of the invention, during effective depilation, the damage of repeated depilation to the skin is reduced, and the depilation effect is improved.

Description

Technical Field

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

[0002] Laser hair removal device is a beauty instrument that uses laser technology to remove hair. It is mainly based on the principle of selective photothermal effect and emits lasers of specific wavelengths. These lasers can penetrate the surface of the skin and reach the roots of hair follicles. The melanin in the hair follicles has the characteristic of selectively absorbing the light energy of the laser and converting the light energy into heat energy, thereby destroying the hair follicle tissue and making it lose the ability to grow hair, thus achieving the effect of hair removal (publication number: CN118634030A).

[0003] Among them, multi-wavelength switching laser hair removal devices can more comprehensively cover hair of different depths and colors and skin of different skin colors by combining multiple different wavelengths of lasers, thereby improving the hair removal effect and scope of application. However, when the existing multi-wavelength adaptive switching laser hair removal devices are working, they still need to repeatedly irradiate the skin surface, that is, when the hair cannot be completely removed, the gear needs to be increased and the hair needs to be removed again. Not only does it cause the removed area to be repeatedly irradiated, resulting in an increased probability of damage to the skin surface, but it also causes the hair to be irradiated by multiple lasers, causing curling changes, thereby affecting the hair removal effect. Summary of the invention

[0004] In order to solve the technical problem in the related art that not only the removed area is repeatedly irradiated, resulting in an increased probability of skin surface damage, but also the hair is subjected to multiple laser irradiations, resulting in curling changes, thereby affecting the hair removal effect, the present invention provides a multi-wavelength adaptive switching laser hair removal device, and the technical solution adopted is as follows: The present invention proposes a multi-wavelength adaptively switchable laser hair removal device, comprising: a hair removal device body, an optical sensor and an infrared sensor are arranged on the end surface 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 skin surface color and the hair color, and the infrared sensor is used to identify the hair position and the hair thickness; When the hair removal device is working, the time interval between the current hair removal and the last hair removal, the average diameter and the average gray value of the hair during the last hair removal are obtained, and the hair status index of the current hair removal is determined by combining the time interval, the average diameter and the average gray value of the hair during the last hair removal; Determine the current skin condition index based on the difference between the skin surface color during the current hair removal and the skin surface color during the previous hair removals; determine the current equipment condition coefficient by combining the hair condition index and the skin condition index; The initial device wavelength for the current hair removal is determined by combining the device operating coefficients of the current and previous hair removals and the average laser wavelength of the previous hair removal, and traversal hair removal is performed based on the initial device wavelength; An infrared sensor is used to determine the amount of remaining hair after the current hair removal, and a fixed-point hair removal mode is turned on according to the remaining hair amount. The wavelength of the device is adjusted according to the thickness and color of the remaining hair, and fixed-point hair removal is performed based on the beam shaping module.

[0005] Furthermore, the beam shaping module is used to adjust the shape and range of the laser emitted by the laser generating assembly according to the detected position of the remaining hair, and limit it to the position of the hair root.

[0006] Furthermore, it also includes a touch screen installed on the surface of the shell, which is used to display the working status 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.

[0007] Furthermore, the method for determining the hair status index comprises: The average diameter and gray value of the hair during the last hair removal are respectively calculated and normalized to obtain the hair diameter index and hair gray index of the last hair removal; Calculating the difference between the hair diameter index and the hair gray index to obtain a state analysis parameter; The ratio of the state analysis parameter to the time interval is normalized and used as the hair state index.

[0008] Furthermore, the method of determining the current skin condition index according to the difference between the skin surface color during the current hair removal and the skin surface color during the previous hair removals includes: Calculate the average grayscale value of the skin surface during the current hair removal and the average grayscale value of the skin surface during the previous preset number of hair removals respectively; Calculate the absolute value of the difference between the mean grayscale values ​​of the skin surface corresponding to the current time and the previous preset number of times; The inverse of the product of the absolute value of the difference and the grayscale value of the skin surface during the current hair removal is normalized and used as the current skin condition indicator.

[0009] Furthermore, the combining of the hair condition index and the skin condition index to determine the current equipment condition coefficient includes: The product value of the hair condition index and the skin condition index is calculated and normalized as the current equipment condition coefficient.

[0010] Furthermore, the initial device wavelength for the current hair removal is determined by combining the device operating coefficients for the current and previous hair removals and the average laser wavelength for the previous hair removal, including: Calculate the ratio of the equipment operating coefficient at the current depilation to the equipment operating coefficient at the previous depilation as the operating ratio; The product of the average laser wavelength during the previous hair removal and the working condition ratio is used as the initial device wavelength for the current hair removal.

[0011] Further, starting the fixed-point hair removal mode according to the remaining hair amount includes: Calculating the remaining hair density according to the remaining hair amount; When the remaining hair density is greater than a preset density threshold, the fixed-point hair removal mode is turned on.

[0012] Furthermore, the preset density threshold is 5 pieces per square centimeter.

[0013] Furthermore, the wavelength of the device is adjusted according to the thickness and color of the remaining hair, including: Detect the diameter of each remaining hair and perform normalization processing as the diameter state value of the corresponding remaining hair; Detecting the mean grayscale value of the hair area corresponding to each remaining hair, and normalizing the inverse of the mean grayscale value to obtain the grayscale state value corresponding to the remaining hair; The device wavelength is adjusted according to the diameter state value and the grayscale state value, wherein the larger the values ​​of the diameter state value and the grayscale state value are, the shorter the device wavelength is.

[0014] The present invention has the following beneficial effects: The embodiment of the present invention divides the overall hair removal process into two major stages, namely, the traversal hair removal stage and the fixed-point hair removal stage, by configuring an optical sensor, an infrared sensor and a beam shaping module. In the traversal hair removal stage, the hair state index of the current hair removal is determined according to the time interval between the current hair removal and the previous hair removal, the average diameter and the gray value mean of the hair during the previous hair removal, and the time interval, the average diameter and the gray value mean of the hair during the previous hair removal; and the skin state index of the current hair removal is determined according to the difference between the skin surface color during the current hair removal and the skin surface color during the previous hair removals. The equipment working condition of the laser hair removal device is determined through the two dimensions of hair analysis and skin analysis, so that the laser hair removal device can be used for the current hair removal. The adaptive initial device wavelength adjustment is realized under the working conditions. Compared with the related art of hair removal by fixing the laser wavelength, the present invention can set the wavelength reasonably for different skins and different hair conditions, effectively improving the stability of traversal hair removal. After traversal hair removal, the infrared sensor is used to determine the amount of hair remaining after the current hair removal, and the fixed-point hair removal mode is turned on according to the remaining hair amount. The wavelength of the device is adjusted according to the thickness and color of the remaining hair, and fixed-point hair removal is performed based on the beam shaping module. Through the fixed-point hair removal mode, secondary repeated hair removal due to excessive remaining hair is avoided, and laser damage to the skin is reduced. At the same time, the adaptive adjustment method can also effectively remove the remaining hair. In summary, in the embodiments of the present invention, while effectively removing hair, the damage to the skin caused by repeated hair removal is reduced, thereby improving the hair removal effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 A structural diagram of a multi-wavelength adaptively switching laser hair removal device provided by an embodiment of the present invention; Figure 2 A schematic diagram of the hair growth cycle provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the specific implementation, structure, features and effects of a multi-wavelength adaptive switching laser hair removal device proposed by the present invention in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0018] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0019] The specific scheme of a multi-wavelength adaptively switching laser hair removal device provided by the present invention is described in detail below with reference to the accompanying drawings.

[0020] See also Figure 1 , which shows a structural diagram of a multi-wavelength adaptively switching laser hair removal device provided by an embodiment of the present invention, including: a hair removal device body, an optical sensor and an infrared sensor configured on the end face of the hair removal device in contact with the skin, and a beam shaping module configured in the laser generating component.

[0021] It should be noted that the optical sensor in the embodiment of the present invention is mainly used to obtain the user's skin surface image, which mainly includes images of skin and hair. In the embodiment of the present invention, since the skin grayscale and hair grayscale are mainly analyzed, in the embodiment of the present invention, the user's skin surface image can also be directly processed by mean grayscale to obtain the corresponding grayscale image. Of course, in other embodiments of the present invention, the user's skin surface image can also be directly subjected to RGB color analysis, and there is no limitation on this.

[0022] Among them, infrared sensors are mainly used to analyze the morphological characteristics of the hair itself, the thickness and position of the hair, etc.

[0023] First of all, you need to charge the handheld laser hair removal device before use to ensure that it has enough power when in use; further, check the indicator light of the laser hair removal device to determine whether the handheld laser hair removal device is damaged or in an abnormal state, etc. Finally, after confirming that the device is in normal condition, prepare to use it.

[0024] In the embodiment of the present invention, the overall working process of the laser hair removal device is divided into two modes, one is the traversal hair removal mode, and the other is the fixed-point hair removal mode. It should be noted that the traversal hair removal mode is that the laser hair removal device uses a fixed laser wavelength and intensity to perform traversal hair removal for the irradiated skin range, while the fixed-point hair removal mode is to perform fixed-point laser removal at the hair root according to the hair position. Each hair is analyzed for its adaptive laser wavelength. In the embodiment of the present invention, the traversal hair removal mode is first used for traversal, and then the fixed-point hair removal mode is used for fixed-point removal.

[0025] In the embodiment of the present invention, the optical sensor and the infrared sensor can be combined into a sensor group, and then arranged on the end surface of the hair removal device that contacts the skin, so as to realize the data acquisition process.

[0026] The overall process is: When the hair removal device is working, the time interval between the current hair removal and the last hair removal, the average diameter and the average gray value of the hair during the last hair removal are obtained, and the hair status index of the current hair removal is determined by combining the time interval, the average diameter and the average gray value of the hair during the last hair removal; Determine the current skin condition index based on the difference between the skin surface color during the current hair removal and the skin surface color during the previous hair removals; determine the current equipment condition coefficient by combining the hair condition index and the skin condition index; The initial device wavelength for the current hair removal is determined by combining the device operating coefficients of the current and previous hair removals and the average laser wavelength of the previous hair removal, and traversal hair removal is performed based on the initial device wavelength; Use infrared sensors to determine the amount of remaining hair after the current hair removal, turn on the fixed-point hair removal mode based on the remaining hair amount, adjust the device wavelength based on the thickness and color of the remaining hair, and perform fixed-point hair removal based on the beam shaping module.

[0027] The purpose of the embodiment of the present invention is to remove the easy-to-remove hair on the skin surface through traversal hair removal during hair removal, and to identify and record the difficult-to-remove hair, and then to perform secondary fixed-point hair removal on the difficult-to-remove hair through adaptive wavelength switching, thereby achieving effective hair removal.

[0028] In some embodiments of the present invention, the laser hair removal device also includes a touch screen installed on the surface of the shell, which is used to display the working status 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.

[0029] The growth cycle of human hair is divided into growth phase, regression phase and resting phase, see Figure 2 , Figure 2Schematic 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.

[0030] At the same time, due to 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, the probability of damage to more sensitive skin is higher when exposed to stronger lasers.

[0031] In summary, when a laser hair removal device performs hair removal, it is difficult to effectively balance hair removal efficiency and user protection. A higher laser intensity (short wavelength) may cause skin damage, while a lower laser intensity (long wavelength) may result in the failure to smoothly remove hair, thus requiring repeated hair removal, which ultimately still causes skin damage. Therefore, a laser hair removal device with multi-wavelength adaptive switching and good hair removal effect is needed.

[0032] 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. Alternatively, 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.

[0033] Furthermore, it should be noted that the previous hair removal time can specifically be, for example, the startup time of the hair removal device during the previous use. Since multiple startup and shutdown 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 startup and shutdown can also be set, and the use of the hair removal device within 5 hours of startup and shutdown is regarded as one hair removal. Thus, the current and previous hair removal times are determined.

[0034] Further, in some embodiments of the present invention, the method for determining the hair state index includes: respectively calculating the average diameter and average gray value of the hair during the previous hair removal, and performing normalization processing to obtain the hair diameter index and hair gray index of the previous hair removal; calculating the difference between the hair diameter index and the hair gray index to obtain a state analysis parameter; and normalizing the ratio of the state analysis parameter to the time interval as the hair state index.

[0035] It should be noted that as the hair grows, the hair diameter will gradually become thicker, and the hair will gradually change from yellow-gray to black. Therefore, the larger the value of the hair diameter index, the more vigorous the hair growth, and the smaller the grayscale value of the hair, the more vigorous the hair growth. In the embodiment of the present invention, the average diameter of the hair and the mean grayscale value are first normalized to remove the dimension effect, and then the difference between the hair diameter index and the hair grayscale 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 grayscale value, thus, it is more consistent with the situation of vigorous hair growth.

[0036] It is understandable that the smaller the time interval, the shorter the hair growth cycle, and the easier it is to absorb (short-wavelength) lasers. Therefore, in order to indicate the state of hair, the ratio of the state analysis parameter to the time interval is normalized and used as the hair state index. That is, the hair state index indicates 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, and the easier it is for the corresponding hair to absorb short-wavelength lasers. Laser hair removal devices can use short-wavelength lasers to achieve effective and reliable hair removal effects.

[0037] Since skin condition can also affect the laser effect, such as allergic skin, redness, swelling, and itching, it is necessary to reduce the damage of laser to the skin, and the smaller the wavelength, the more serious the impact on the skin, so lasers with smaller wavelengths cannot be used. Therefore, in the embodiment of the present invention, the current skin condition index is determined based on the difference between the skin surface color during the current hair removal and the skin surface color during the previous hair removals, so that the skin condition information of the current hair removal is represented by the skin condition index.

[0038] It is understandable that due to the inconsistency of skin color among different people, directly analyzing based on skin color will result in a lower scope of application. In the embodiment of the present invention, skin condition index analysis is performed based on the difference between the skin surface color during the current hair removal and the skin surface color during the previous hair removals.

[0039] Furthermore, in some embodiments of the present invention, the skin condition index of the current time is determined based on the difference in skin surface color during the current hair removal and the skin surface color during the previous multiple hair removals, including: respectively calculating the mean grayscale value of the skin surface during the current hair removal and the mean grayscale value of the skin surface during the previous preset number of hair removals; calculating the absolute value of the difference between the mean grayscale value of the skin surface corresponding to the current time and the previous preset number of times; and normalizing the inverse of the product of the absolute value of the difference and the grayscale value of the skin surface during the current hair removal as the skin condition index of the current time.

[0040] Among them, the preset number is the specific number of the previous multiple times. In the embodiment 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 taken as a normal skin level, so that the difference analysis of the gray value average between the current time and the previous 5 times is performed. The larger the absolute value of the difference, the worse the skin condition of the current time. Since the skin condition index is a parameter used for subsequent laser wavelength analysis, the skin color also has a certain influence on the absorption of the laser wavelength. The darker the skin color, the easier it is to absorb short-wavelength laser. Therefore, in the embodiment of the present invention, the absolute value of the difference and the gray value of the skin surface during the current hair removal are calculated. The larger the product value, the more likely the skin surface is to be allergic, red, swollen, itchy and other abnormal conditions during the current hair removal. At the same time, the whiter the skin color, the worse the absorption effect of the laser. Therefore, the opposite number is normalized to obtain the skin condition index. The larger the value of the skin condition index, the easier it is for the skin condition to receive short-wavelength laser.

[0041] In summary, calculation and analysis of the hair condition index and the skin condition index require integration of the two data, combining the hair condition index and the skin condition index to determine the current equipment condition coefficient, including: calculating the product value of the hair condition index and the skin condition index, and normalizing it as the current equipment condition coefficient.

[0042] Since the larger the value of the hair condition index is, the darker the hair color is, the larger the diameter is, and the shorter the growth cycle is, the easier it is for the corresponding hair to absorb short-wavelength lasers, and laser hair removal devices can use short-wavelength lasers to achieve effective and reliable hair removal effects. The larger the value of the skin condition index is, the easier it is for the skin to receive short-wavelength lasers.

[0043] Therefore, the larger the value of the equipment operating coefficient is, the more effective the equipment can be in using a shorter laser to achieve a more effective hair removal effect during the current hair removal.

[0044] The frequency with which users use laser hair removal devices is usually affected by the growth rate of hair, and since the condition of hair and skin is mainly affected by factors such as the user's own physique and living environment, the initial device wavelength in the traversal phase can be determined through historical usage information, thereby performing traversal hair removal.

[0045] Furthermore, in some embodiments of the present invention, the initial equipment wavelength for the current hair removal is determined in combination with the equipment operating condition coefficients of the current and previous hair removals and the average laser wavelength of the previous hair removal, including: calculating the ratio of the equipment operating condition coefficient of the current hair removal to the equipment operating condition coefficient of the previous hair removal as the operating condition ratio; taking the product of the average laser wavelength of the previous hair removal and the operating condition ratio as the initial equipment wavelength for the current hair removal.

[0046] Among them, the operating condition ratio of the equipment operating condition coefficient during the current hair removal and the equipment operating condition coefficient during the previous hair removal is used to perform the current analysis combined with the average laser wavelength during the previous hair removal, and the initial equipment wavelength during the current hair removal is adaptively adjusted. Through the adjustment of the initial equipment wavelength, a more effective and reliable hair removal effect can be achieved in combination with the hair condition and skin condition during the current hair removal.

[0047] It is understandable that even with the most effective wavelength, some hair will still remain unremoved, such as some originally light hair or hair that was missed during the traversal hair removal. When using a laser hair removal device for hair removal, the hair detection sensor will not only detect the user's hair status, but also record the hair that was not successfully removed during this hair removal, including the status of the hair and the approximate location. According to the status of the remaining uncleared hair, it is determined whether to change the hair removal mode, that is, to change to the fixed-point hair removal mode.

[0048] Further, in some embodiments of the present invention, starting the fixed-point hair removal mode according to the remaining hair volume includes: calculating the remaining hair density according to the remaining hair volume; when the remaining hair density is greater than a preset density threshold, starting the fixed-point hair removal mode. The preset density threshold is 5 hairs per square centimeter.

[0049] Among them, the remaining hair density can be calculated based on the end face area of ​​the corresponding hair removal device in contact with the skin, and the number of hairs remaining on the end face. Then, when the remaining hair density is greater than 5 hairs per square centimeter, it means that there are still a lot of hairs remaining, and the fixed-point hair removal mode is turned on.

[0050] The fixed-point hair removal mode in the embodiment of the present invention mainly uses a beam shaping module, which 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 to the position of the hair root. In other words, the position and shape of the laser are adjusted by the beam shaping module so that the remaining hair can be removed to complete the fixed-point hair removal.

[0051] Furthermore, in some embodiments of the present invention, the wavelength of the device is adjusted according to the thickness and color of the remaining hair, including: detecting the diameter of each remaining hair and normalizing it as the diameter status value corresponding to the remaining hair; detecting the mean grayscale value of the hair area corresponding to each remaining hair, normalizing the opposite of the mean grayscale value, and using it as the grayscale status value corresponding to the remaining hair; adjusting the wavelength of the device according to the diameter status value and the grayscale status value, wherein the larger the diameter status value and the grayscale status value are, the shorter the wavelength of the device is.

[0052] In the embodiment of the present invention, a wavelength parameter adaptive model can be constructed, with the input being the thickness and color of a certain hair and the output being a suitable working wavelength, such as a selective photothermal model (SPT) or a convolutional neural network model (CNN), etc., which are all well known to those skilled in the art and are not limited thereto.

[0053] After the hair removal is completed, all the information recorded during this use is stored, including skin condition, hair condition, working time and working wavelength, and the user's database is updated. Each piece of information corresponds to its recording time.

[0054] At the same time, the laser hair removal device dissipates heat and cools down the inside to ensure the safety of the device, and uses indicator lights and display screens to provide prompts and feedback to the user based on the remaining power and possible abnormal information.

[0055] The embodiment of the present invention divides the overall hair removal process into two major stages, namely, the traversal hair removal stage and the fixed-point hair removal stage, by configuring an optical sensor, an infrared sensor and a beam shaping module. In the traversal hair removal stage, the hair state index of the current hair removal is determined according to the time interval between the current hair removal and the previous hair removal, the average diameter and the gray value mean of the hair during the previous hair removal, and the time interval, the average diameter and the gray value mean of the hair during the previous hair removal; and the skin state index of the current hair removal is determined according to the difference between the skin surface color during the current hair removal and the skin surface color during the previous hair removals. The equipment working condition of the laser hair removal device is determined through the two dimensions of hair analysis and skin analysis, so that the laser hair removal device can be used for the current hair removal. The adaptive initial device wavelength adjustment is realized under the working conditions. Compared with the related art of hair removal by fixing the laser wavelength, the present invention can set the wavelength reasonably for different skins and different hair conditions, effectively improving the stability of traversal hair removal. After traversal hair removal, the infrared sensor is used to determine the amount of hair remaining after the current hair removal, and the fixed-point hair removal mode is turned on according to the remaining hair amount. The wavelength of the device is adjusted according to the thickness and color of the remaining hair, and fixed-point hair removal is performed based on the beam shaping module. Through the fixed-point hair removal mode, secondary repeated hair removal due to excessive remaining hair is avoided, and laser damage to the skin is reduced. At the same time, the adaptive adjustment method can also effectively remove the remaining hair. In summary, in the embodiments of the present invention, while effectively removing hair, the damage to the skin caused by repeated hair removal is reduced, thereby improving the hair removal effect.

[0056] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0057] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A laser hair removal device with multi-wavelength adaptive switching, comprising: The hair removal device body is characterized in that an optical sensor and an infrared sensor are arranged on the end surface 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 skin surface color and the hair color, and the infrared sensor is used to identify the hair position and the hair thickness; When the hair removal device is working, the time interval between the current hair removal and the last hair removal, the average diameter and the average gray value of the hair during the last hair removal are obtained, and the hair status index of the current hair removal is determined by combining the time interval, the average diameter and the average gray value of the hair during the last hair removal; Determine the current skin condition index based on the difference between the skin surface color during the current hair removal and the skin surface color during the previous hair removals; determine the current equipment condition coefficient by combining the hair condition index and the skin condition index; The initial device wavelength for the current hair removal is determined by combining the device operating coefficients of the current and previous hair removals and the average laser wavelength of the previous hair removal, and traversal hair removal is performed based on the initial device wavelength; An infrared sensor is used to determine the amount of remaining hair after the current hair removal, and a fixed-point hair removal mode is turned on according to the remaining hair amount. The wavelength of the device is adjusted according to the thickness and color of the remaining hair, and fixed-point hair removal is performed based on the beam shaping module.

2. A multi-wavelength adaptive switching laser hair removal device as claimed in claim 1, characterized in that: The beam shaping module is used to adjust the shape and range of the laser emitted by the laser generating assembly according to the detected position of the remaining hair, and limit it to the position of the hair root.

3. A multi-wavelength adaptive switching laser hair removal device as claimed in claim 1, characterized in that: It also includes a touch screen installed on the surface of the shell, which is used to display the working status of the laser hair removal device, the parameters currently in use, 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 as claimed in claim 1, characterized in that: The method for determining the hair status index comprises: The average diameter and gray value of the hair during the last hair removal are respectively calculated and normalized to obtain the hair diameter index and hair gray index of the last hair removal; Calculating the difference between the hair diameter index and the hair gray index to obtain a state analysis parameter; The ratio of the state analysis parameter to the time interval is normalized and used as the hair state index.

5. The multi-wavelength adaptive switching laser hair removal device as claimed in claim 1, characterized in that: Determining the current skin condition index according to the difference between the skin surface color during the current hair removal and the skin surface color during the previous hair removals includes: Calculate the average grayscale value of the skin surface during the current hair removal and the average grayscale value of the skin surface during the previous preset number of hair removals respectively; Calculate the absolute value of the difference between the mean grayscale values ​​of the skin surface corresponding to the current time and the previous preset number of times; The inverse of the product of the absolute value of the difference and the grayscale value of the skin surface during the current hair removal is normalized and used as the current skin condition indicator.

6. The multi-wavelength adaptive switching laser hair removal device as claimed in claim 1, characterized in that: The method of combining the hair condition index and the skin condition index to determine the current equipment condition coefficient includes: The product value of the hair condition index and the skin condition index is calculated and normalized as the current equipment condition coefficient.

7. The multi-wavelength adaptive switching laser hair removal device as claimed in claim 1, characterized in that: The method combines the equipment operating coefficients of the current and previous hair removal and the average laser wavelength of the previous hair removal to determine the initial equipment wavelength of the current hair removal, including: Calculate the ratio of the equipment operating coefficient at the current depilation to the equipment operating coefficient at the previous depilation as the operating ratio; The product of the average laser wavelength during the previous hair removal and the working condition ratio is used as the initial device wavelength for the current hair removal.

8. The multi-wavelength adaptive switching laser hair removal device as claimed in claim 1, characterized in that: The step of starting the fixed-point hair removal mode according to the remaining hair amount comprises: Calculating the remaining hair density according to the remaining hair amount; When the remaining hair density is greater than a preset density threshold, the fixed-point hair removal mode is turned on.

9. A multi-wavelength adaptively switching laser hair removal device as claimed in claim 8, characterized in that: The preset density threshold is 5 per square centimeter.

10. The multi-wavelength adaptive switching laser hair removal device according to claim 1, characterized in that: The device wavelength is adjusted according to the thickness and color of the remaining hair, including: Detect the diameter of each remaining hair and perform normalization processing as the diameter state value of the corresponding remaining hair; Detecting the mean grayscale value of the hair area corresponding to each remaining hair, and normalizing the inverse of the mean grayscale value to obtain the grayscale state value corresponding to the remaining hair; The device wavelength is adjusted according to the diameter state value and the grayscale state value, wherein the larger the values ​​of the diameter state value and the grayscale state value are, the shorter the device wavelength is.

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