Skin lightening device and lightening method, electronic device, storage medium

Abstract

The application relates to the technical field of skin light processing, in particular to a skin light processing device and a light processing method, an electronic device and a storage medium. According to the skin light processing method of the application, the method is applied to a skin light processing device, the skin light processing device comprises a shell, a skin color detection module, a light emitting assembly and a filter assembly, the skin light processing method first needs to perform skin color detection on target skin through the skin color detection module to determine a target skin color type, and at least one target filter is determined from various alternative filters; a driving operation is performed on a power unit of the filter assembly, at least one target filter is placed between the light emitting assembly and a light emitting port through a transmission mechanism of the filter assembly; the light emitting assembly generates original processing light, and the original processing light is filtered into target processing light through the target filter; and the target processing light is emitted from the light emitting port of the shell. In this way, the processing of the emitted light can be completed by automatically switching the filter.

Description

Technical Field

[0001] This application relates to the field of skin light processing technology, and in particular to a skin light processing device and method, electronic device, and storage medium. Background Technology

[0002] In the field of phototherapy technology, traditional phototherapy devices use filters corresponding to fixed wavelengths. Switching between filters with different wavelengths requires manual intervention. Melanin, as the primary light absorber in the skin, strongly absorbs visible and near-infrared light, especially in shorter wavelength ranges. For users with darker skin tones, the large amount of melanin in their epidermis leads to the absorption of energy intended for deeper target tissues. This not only causes excessive absorption and significant attenuation of the phototherapy energy by the epidermis, resulting in ineffective treatment of deeper target tissues and a greatly reduced effect, but also risks local overheating due to excessive energy absorption by the melanin in the epidermis. This can lead to adverse reactions such as pain, redness, blisters, and even pigmentation or scarring, posing certain safety risks.

[0003] Therefore, fixed or manually selected filtering schemes cannot adapt to individual skin color differences in real time, automatically and accurately, resulting in unstable therapeutic effects and potential safety risks when phototherapy devices are applied to diverse user groups. Summary of the Invention

[0004] This application aims to at least solve one of the technical problems existing in the prior art. To this end, this application proposes a skin light processing device and method, an electronic device, and a storage medium, which can process emitted light by automatically switching filters.

[0005] A skin light treatment apparatus according to a first aspect embodiment of this application includes:

[0006] A housing, the housing internally housing a skin color detection module, a light emitting component and a light filtering component, and the housing surface having a light emitting port; The skin color detection module is used to detect the skin color of the target skin in order to determine the target skin color type. The light-emitting component is used to generate the initial processed light; The filtering assembly is configured with a power unit, a transmission mechanism, and at least two alternative filters; wherein, the filtering assembly is used to determine a target filter from the at least two alternative filters according to the target skin color type, and to move the target filter between the light-emitting assembly and the light-emitting port through the power unit and the transmission mechanism, so as to filter the original processed light into target processed light; wherein, the target processed light is emitted from the light-emitting port.

[0007] The skin light processing method according to a second aspect of this application is applied to the skin light processing apparatus according to a first aspect of this application. The skin light processing apparatus includes a housing, a skin color detection module, a light emitting component, and a light filtering component. The method includes: The skin color detection module is used to detect the skin color of the target skin in order to determine the target skin color type. Based on the target skin color type, at least one target filter is determined from each of the candidate filters; The power unit of the control filter assembly performs a drive operation, which, in conjunction with the transmission mechanism of the filter assembly, causes at least one of the target filters to be placed between the light-emitting assembly and the light-emitting port; The light-emitting component is controlled to generate primary processed light, and the primary processed light is filtered into target processed light through the target filter; wherein the target processed light is emitted from the light-emitting port of the housing.

[0008] According to some embodiments of this application, one of the alternative filters of the filter assembly is fixed between the light emitting assembly and the light emitting port, and the remaining alternative filters of the filter assembly are connected to the transmission mechanism. The step of determining at least one target filter from the candidate filters based on the target skin color type includes: If the target skin color type meets the preset first filtering conditions, the alternative filter fixed between the light-emitting component and the light-emitting port will be determined as the target filter. If the target skin color type meets the preset second filtering conditions, the alternative filter fixed between the light-emitting component and the light-emitting port, and the alternative filter connected to the transmission mechanism, are jointly determined as the target filter.

[0009] According to some embodiments of this application, the target filter fixed between the light-emitting component and the light-emitting port is a first target filter, and the target filter connected to the transmission mechanism is a second target filter. The power unit controlling the filter component performs a driving operation, cooperating with the transmission mechanism of the filter component to place at least one target filter between the light-emitting component and the light-emitting port, including: If the target skin color type meets the preset first filtering conditions, the power unit of the filter component is controlled to perform a driving operation to move the second target filter away from the light emitting component and the light emitting port; wherein, the first target filter is used to filter the original processed light into the target processed light; If the target skin color type meets the preset second filtering conditions, the power unit of the filter component is controlled to perform a driving operation to move the second target filter between the light emitting component and the light emitting port; wherein, the first target filter and the second target filter are used together to filter the original processing light into the target processing light.

[0010] According to some embodiments of this application, before determining at least one target filter from the candidate filters based on the target skin color type, the method further includes: Obtain skin color light absorption reference data; wherein, the skin color light absorption reference data is used to reflect the correspondence between different skin color depths and different absorption wavelengths; Based on the skin color light absorption reference data, at least two candidate filters are determined, which are used to filter out light shorter than the specified absorption wavelength; wherein different candidate filters correspond to different specified absorption wavelengths.

[0011] According to some embodiments of this application, determining at least one target filter from the candidate filters based on the target skin color type includes: Based on the target skin color type, an adaptive wavelength analysis is performed to obtain the target absorption wavelength; Based on the target absorption wavelength, the target filter is selected from at least two candidate filters.

[0012] According to some embodiments of this application, the skin color detection module is configured with a supplementary lighting unit, a reflected light sensing unit, and a skin analysis unit. The step of performing skin color detection on the target skin using the skin color detection module to determine the target skin color type includes: The supplementary lighting unit is controlled to release incident light rays toward the target skin; The reflected light sensor unit collects the reflected light corresponding to the incident light. The skin analysis unit is used to perform skin appearance analysis on the detected reflected light to determine the target skin color type.

[0013] According to some embodiments of this application, the step of using the skin analysis unit to perform skin appearance analysis on the detected reflected light to determine the target skin color type includes: Imaging processing is performed based on the detected reflected light to obtain a skin fitting image; The skin fitting image is purified to extract skin color correlation information; The skin color association information is input into a preset skin color evaluation model to extract skin color features and obtain the corresponding skin color depth feature value. Based on the skin color depth feature value, the target skin color type is determined from the preset skin color classification benchmark.

[0014] According to some embodiments of this application, the purification process performed on the skin fitting image to extract skin color association information includes: The skin fitting image is processed to grayscale to highlight the apparent texture features of the skin fitting image, resulting in a skin apparent grayscale image; The apparent grayscale image of the skin is subjected to contrast enhancement processing to obtain an apparent grayscale enhanced image; Perform binarization on the apparent grayscale enhanced image to generate a skin color interference mask; Based on the skin color interference factor mask, the skin fitting image is restored to its original appearance to obtain the original skin appearance fitting image; The skin color correlation information is extracted from the original skin appearance fitting map.

[0015] According to some embodiments of this application, the purification process performed on the skin fitting image to extract skin color association information includes: Extract the brightness and color representation parameters corresponding to each primitive pixel in the skin fitting image; Based on the brightness representation parameter and the color representation parameter, clustering is performed on each primitive pixel to obtain multiple clustered color clusters; Skin color clusters and interfering factor color clusters are identified from the multiple clustered color clusters; Edge detection calculation is performed on the skin fitting image based on the skin color cluster and the interference factor color cluster to determine the original skin region in the skin fitting image; Extract the skin color association information from the original skin region.

[0016] According to some embodiments of this application, the step of performing edge detection calculation on the skin fitting image based on the skin color cluster and the interference factor color cluster further includes: Edge detection calculation is performed on the skin fitting image based on the skin color cluster and the interference factor color cluster to determine the original skin region and the apparent abnormal region in the skin fitting image. After performing edge detection calculation on the skin fitting image based on the skin color cluster and the interference factor color cluster to determine the original skin region and the apparent abnormal region in the skin fitting image, the method further includes: Apparent anomaly analysis is performed based on the brightness characterization parameter and the color characterization parameter corresponding to the apparent anomaly region to determine the type of apparent anomaly of the target skin. In response to the apparent anomaly type belonging to a preset light processing taboo type, an alarm intervention operation is performed.

[0017] Thirdly, embodiments of this application provide an electronic device, including: a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the skin light processing method as described in any one of the embodiments of the first aspect of this application.

[0018] Fourthly, embodiments of this application provide a computer-readable storage medium storing a program that is executed by a processor to implement the skin light processing method as described in any one of the embodiments of the first aspect of this application.

[0019] The skin light processing apparatus, light processing method, electronic device, and storage medium according to the embodiments of this application have at least the following beneficial effects: According to this application, the skin light processing method is applied to a skin light processing device, which includes a housing, a skin color detection module, a light-emitting component, and a filter component. The skin light processing method first requires the skin color detection module to detect the target skin color to determine the target skin color type. Based on the target skin color type, at least one target filter is selected from the candidate filters. The power unit of the filter component is controlled to perform a drive operation, cooperating with the transmission mechanism of the filter component to place at least one target filter between the light-emitting component and the light-emitting port. The light-emitting component is controlled to generate initial processed light, which is then filtered into target processed light by the target filter. The target processed light is emitted from the light-emitting port of the housing. In this way, the processing of the emitted light can be completed by automatically switching filters.

[0020] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0021] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is a schematic diagram of a skin light processing device provided in an embodiment of this application; Figure 2 This is another schematic diagram of the skin light processing device provided in the embodiments of this application; Figure 3A This is a schematic flowchart of a skin light processing method provided in an embodiment of this application; Figure 3B This is a table showing the correspondence between skin color type and corresponding filter wavelength selection in an embodiment of this application; Figure 4 This is another schematic flowchart of the skin light treatment method provided in the embodiments of this application; Figure 5 This is another schematic flowchart of the skin light treatment method provided in the embodiments of this application; Figure 6 This is another schematic flowchart of the skin light treatment method provided in the embodiments of this application; Figure 7 This is another schematic flowchart of the skin light treatment method provided in the embodiments of this application; Figure 8 This is another schematic flowchart of the skin light treatment method provided in the embodiments of this application; Figure 9 This is another schematic flowchart of the skin light treatment method provided in the embodiments of this application; Figure 10 This is a schematic diagram of the hardware structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0022] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0023] In the description of this application, "several" means one or more, "more than" means two or more, "greater than," "less than," and "exceeding" are understood to exclude the stated number, while "above," "below," and "within" are understood to include the stated number. The use of "first" and "second" in the description is merely for distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the order of the indicated technical features.

[0024] In the description of this application, it should be understood that the orientation descriptions, such as up, down, left, right, front, and back, are based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0025] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0026] In the description of this application, it should be noted that, unless otherwise explicitly defined, terms such as "setting," "installation," and "connection" should be interpreted broadly. Those skilled in the art can reasonably determine the specific meaning of the above terms in this application based on the specific content of the technical solution. Furthermore, the identification of specific steps in the following text does not imply a limitation on the order of steps or execution logic. The execution order and logic between each step should be understood and inferred from the content described in the embodiments.

[0027] In the field of phototherapy, such as hair removal and skin rejuvenation, traditional techniques often rely on the operator's or user's choice and judgment. These devices, whether professional salon equipment or home-use devices, operate on the principle of using specific wavelengths of light energy absorbed by target tissues in the skin (such as melanin in hair follicles), converting it into heat energy to destroy hair follicles or improve skin texture. However, the interaction between light energy and skin is highly dependent on the skin's optical properties, one of the most crucial factors being skin color, specifically the content and distribution of melanin in the epidermis.

[0028] Traditional technologies have limitations in handling skin tone differences. It's important to note that traditional skin light treatment devices use filters corresponding to fixed wavelengths. When different wavelengths are needed, the switching process requires manual intervention. For example, some professional salon equipment may come with a set of pluggable filters, requiring technicians to select the appropriate filter for the customer based on experience or simple reference charts. This reliance on manual judgment and operation introduces complexity and instability. The operator's experience level directly affects the accuracy of filter selection, thus impacting the final light treatment effect and safety. This problem is even more pronounced for home-use devices, where ordinary users lack the professional knowledge and judgment to easily select the wrong filter.

[0029] Melanin, as the main light absorber in the skin, strongly absorbs visible and near-infrared light, especially in shorter wavelength ranges. For users with darker skin tones, the epidermis contains a large amount of melanin, which becomes a "competitor" for light energy, absorbing a significant amount of energy originally intended for deeper target tissues. This not only leads to excessive absorption and significant attenuation of light treatment energy by the epidermis, preventing effective light treatment of deeper target tissues and greatly reducing the effectiveness, but also may cause local overheating due to excessive energy absorption by the melanin in the epidermis, resulting in adverse reactions such as pain, redness, swelling, blisters, and even pigmentation or scarring, posing certain safety risks.

[0030] Therefore, fixed or manually selected filtering schemes cannot adapt to individual skin color differences in real time, automatically and accurately, resulting in unstable therapeutic effects and potential safety risks when light skin treatment devices are applied to diverse user groups.

[0031] This application aims to at least solve one of the technical problems existing in the prior art. To this end, this application proposes a skin light processing device and method, an electronic device, and a storage medium, which can process emitted light by automatically switching filters.

[0032] The skin light treatment device mentioned in this application embodiment is designed and functionally applicable to a variety of skin treatment and beauty devices, such as skin rejuvenation devices and hair removal devices. These devices all utilize light of specific wavelengths to treat or care for the skin, but the light parameters need to be adjusted according to different skin tones to ensure safety and effectiveness.

[0033] The skin photoprocessing apparatus according to embodiments of this application may include: The housing contains a skin color detection module, a light-emitting component, and a light-filtering component. The surface of the housing is provided with a light-emitting port. The skin color detection module is used to detect the skin color of the target skin in order to determine the target skin color type. Light-emitting components are used to generate primary processed light; A light filtering assembly is configured with a power unit, a transmission mechanism, and at least two alternative filters, wherein at least one of the alternative filters can be driven by the power unit in conjunction with the transmission mechanism; wherein the light filtering assembly is used to determine at least one target filter from the alternative filters according to the target skin color type, and to place at least one target filter between the light emitting assembly and the light emitting port through the power unit in conjunction with the transmission mechanism, so as to filter the original processed light into target processed light; wherein the target processed light is emitted from the light emitting port.

[0034] It should be noted that the skin light processing device of this application is an integrated hardware architecture that achieves skin tone adaptive optical processing through modular collaborative design. The skin light processing device uses a housing as its supporting foundation, integrating the skin tone detection module, light-emitting components, and filter components into a closed system, with a light-emitting port on the housing surface serving as the energy output terminal. This integrated structure avoids the risk of optical path misalignment associated with split designs, ensuring spatial stability throughout the entire process from light generation and filtering to skin action, while also providing mechanical support and electromagnetic shielding for each functional module.

[0035] The skin color detection module, acting as the sensing front end, is responsible for the quantitative evaluation of the optical properties of the target skin. This module actively emits probe light and collects the skin's reflectance spectrum, or utilizes multispectral imaging technology to acquire epidermal melanin distribution data. After analysis by a built-in algorithm, continuous skin color parameters are mapped to discrete target skin color types. This design transforms traditional experience-based decision-making, which relies on operator visual judgment, into objective measurement based on sensors. This provides a standardized input signal for subsequent filter selection, fundamentally eliminating the risk of skin color misjudgment caused by human factors, and enabling the skin light processing device to identify different skin categories.

[0036] The light-emitting component, serving as the energy source for the skin phototherapy device, is responsible for generating unmodulated, high-intensity initial treatment light. This component can employ a xenon lamp or a pulsed laser, emitting broadband or narrow-band pulsed light covering the visible to near-infrared wavelength range, possessing sufficient radiant power to meet the energy density requirements of phototherapy treatments such as hair removal and skin rejuvenation. The spectral range of the initial treatment light generally includes multiple wavelength components, and its energy distribution is not wavelength-selective. If applied directly to the skin, it will not be able to adapt to the differentiated spectral absorption characteristics of different skin tones. Therefore, it must undergo wavelength selection by a subsequent filtering component to form a safe and effective targeted treatment light.

[0037] The filter assembly is the core actuator for wavelength adaptation in the device, and its structural design embodies mechatronics. Internally, the assembly contains at least two alternative filters with different cutoff wavelengths, each corresponding to a specific skin type range. The built-in power unit, which can employ a micro-stepper motor or electromagnetic driver, receives digital control signals and outputs precise angular or linear displacement. The transmission mechanism uses a rack and pinion, screw slide, or cam-linkage mechanism to convert the rotational motion of the power unit into linear displacement of the filter, ensuring that the target filter accurately enters or exits the optical path. Compared to traditional plug-in filters, this mechanical switching mechanism achieves sub-second response speeds and micron-level positioning accuracy.

[0038] It is worth noting that the embodiments of this application only require that at least one candidate filter be drivable, and do not limit all candidate filters to be movable. Therefore, the target filter in the embodiments of this application can actually be flexibly configured as a combination of a fixed filter and a movable filter, or a combination of multiple movable filters. This leads to differentiated control logic and filtering modes.

[0039] It should be noted that in the scheme of using a fixed filter and a movable filter, the embodiments of this application configure a reference filter fixed to the optical path and a drivable superimposed filter. The fixed filter, as the basic filter layer, always participates in the operation, providing basic filtering capabilities; the drivable filter determines whether to enter the optical path based on the skin tone depth, forming a series filter with the fixed filter. In some embodiments, when the target skin tone is light, the power unit drives the transmission mechanism to move the movable filter out of the optical path, relying solely on the fixed filter to output the target processing light; when the target skin tone is dark, the power unit drives in the opposite direction, inserting the movable filter into the optical path, with both filters working together to enhance the short-wavelength filtering effect. The advantage of this implementation is that the control logic is clear, and the presence of the fixed filter ensures that the skin light processing device of this application is always in a safe filtering state, and the filtering function will not be completely lost even if the power unit fails.

[0040] In some embodiments, structurally, the filter assembly arranges at least two candidate filters at equal intervals along a circumferential or linear direction, and mounts them as a whole on a rotating platform or linear guide rail. The power unit typically uses a stepper motor or servo motor with an encoder to output high-precision angular or linear displacement; the transmission mechanism converts the motor output into overall translational or rotational motion of the filter carrier. When the control unit determines the target filter based on the target skin color type, the power unit receives the command for rotation angle or movement distance, driving the transmission mechanism to move the entire filter array, so that the target filter is precisely aligned with the center of the optical axis, while the filters originally in the optical path automatically deviate from the optical axis. Since all candidate filters are always located on the same optical conjugate surface as the light-emitting assembly and the light-emitting port, the switching process only changes the position of the light-transmitting aperture, without changing the spatial structure of the optical path, thereby avoiding mechanical vibration and positioning errors that may be caused by frequent insertion and removal of filters.

[0041] In some embodiments, if the optical filter includes two or more drivable filters, the filter selection logic can become more complex. In this case, all candidate filters have no fixed position, and the power unit, in conjunction with the transmission mechanism, can independently control the entry and exit of each filter. The decision to "determine at least one target filter" may involve selecting a single filter to work independently or selecting multiple filters to work in combination. For example, for very dark skin tones, embodiments of this application may select two filters with different cutoff wavelengths to be placed simultaneously in the optical path, achieving more stringent spectral selection through the superposition effect; while for medium skin tones, only one filter with a suitable wavelength may be selected. The transmission mechanism needs to be equipped with a multi-degree-of-freedom motion platform, such as a rotating filter wheel or a linear guide array, to achieve spatial scheduling of multiple filters. Although embodiments of this application increase mechanical complexity and cost, they provide more precise wavelength adjustment capabilities, enabling optimized filtering for specific skin tone types and improving the matching accuracy of treatment parameters.

[0042] It should be understood that, based on the design principle that at least one alternative filter can be driven, the filter assembly can be flexibly configured into various topologies such as fixed plus moving, fully moving, or single moving. Each structure corresponds to different filter mode switching capabilities, and is not limited to the examples mentioned above. Regardless of the implementation method, the coordinated control of the power unit and the transmission mechanism is always the core of realizing filter movement.

[0043] The automatic filter selection logic is based on the target skin tone type signal output by the skin tone detection module. When the system determines that the target skin is light-colored, the control unit selects a filter with a shorter cutoff wavelength as the target filter, ensuring sufficient energy for deep tissues while retaining some short-wavelength components to enhance therapeutic effects. When the target skin is dark-colored, this embodiment automatically uses a filter with a longer cutoff wavelength to actively filter out short-wavelength light that is easily absorbed by melanin, shifting the dominant wavelength of the target treatment light towards longer wavelengths, thereby reducing the thermal load on the epidermis. This closed-loop decision-making mechanism, which infers filter parameters based on the absorption spectral characteristics of melanin, achieves optimized energy distribution at different depths of the skin.

[0044] The combination of a power unit and a transmission mechanism solves the problem of automating the physical position switching of optical filters. Traditional manual filter replacement suffers from drawbacks such as cumbersome operation, positioning errors, and easy contamination of optical surfaces. This solution, however, uses a power unit that receives control commands and drives the transmission mechanism to move or rotate the target filter along the guide rail system, precisely positioning it at the center of the optical path between the light-emitting component and the light-emitting port. After switching, the optical surface of the filter is perpendicular to the optical axis, ensuring that the original processed light passes uniformly through its effective aperture, producing target processed light with reshaped spectral characteristics. The entire process requires no opening of the housing or manual intervention, improving operational efficiency while maintaining the cleanliness and stability of the internal optical environment.

[0045] The targeted light beam is ultimately emitted from the light outlet and acts on the skin surface. The light outlet can be made of sapphire or quartz glass, serving as both an optical window and a skin contact cooling mechanism. The light, after being filtered by the target filter, has its spectral composition optimized according to the target skin tone type. Short-wavelength components are effectively suppressed or retained, while long-wavelength components are fully preserved to ensure penetration depth, thus achieving a balance between minimizing melanin absorption and maximizing energy to the target tissue. This on-demand customized spectral output mode allows the same device to continuously treat skin areas of users with different skin tones without interrupting the light processing flow for manual adjustments, expanding the device's applicability.

[0046] Reference Figure 1 This paper demonstrates a feasible filter component structure within a skin light processing device, designed to automatically select appropriate filters based on different skin tone types to optimize light processing effects and improve safety. The device includes key components such as a housing, a skin tone detection module, a light-emitting component, and a filter component.

[0047] It should be noted that the filter assembly is the core component of this device, consisting of both fixed and movable filters. Figure 1 In the embodiment shown, at least two alternative filters are visible. Taking two alternative filters as an example, they are labeled as alternative filter A and alternative filter B, respectively. These two filters have different cutoff wavelengths, used to filter out light in different wavelength ranges. The design of the filter assembly allows one of the filters to move under the drive of a power unit and a transmission mechanism, thereby achieving the switching of the filtering state.

[0048] It is important to clarify that the power unit and transmission mechanism are the key mechanical components for realizing the movement of the optical filter. The power unit, which can be a motor or other type of driver, receives commands from the control unit and generates power to drive the transmission mechanism. The transmission mechanism then converts the rotational or linear motion of the power unit into the movement of the optical filter, ensuring that the filter can be precisely switched to the desired position. Figure 1 In the transmission mechanism, a connecting rod or slide rail can be selected to allow each filter to move between the light-emitting assembly and the light-emitting port.

[0049] Furthermore, the skin tone detection module is responsible for detecting the skin tone type of the target skin and sending the detection results to the control unit. Based on the skin tone detection results, the control unit determines which filter to use and drives the transmission mechanism via the power unit to achieve automatic filter switching. This automated filter switching mechanism allows the device to automatically adjust light processing parameters according to different users' skin tones, thereby improving the personalization and safety of light processing.

[0050] It should be understood that the light-emitting component is the part that generates the initial processing light, and it is located upstream of the light-filtering component. The initial processing light first passes through the light-filtering component, and after being filtered by the filter, it forms the target processing light, which is then emitted from the light-emitting port and acts on the skin. Figure 1 In the middle, the light emitting component is located to the left of the filter component. The light is emitted from the light emitting component, filtered by alternative filter A and / or alternative filter B, and finally emitted from the light outlet.

[0051] Figure 1 It also demonstrated the positional changes of the filter assembly under different operating conditions. Figure 1 On the left side, alternative filter A is located between the light-emitting assembly and the light-emitting port, and is in working condition; while... Figure 1 On the right side, alternative filter A is removed, leaving only alternative filter B in operation. This design allows the device to flexibly select the filter based on skin tone detection results, catering to the needs of users with different skin tones.

[0052] Reference Figure 2 This paper showcases another skin light processing device with a filter assembly structure designed to automatically adjust the filter state based on skin color detection results to adapt to different users' skin color types. The device includes a housing, a skin color detection module, a light-emitting assembly, and a filter assembly.

[0053] It should be noted that the filter component is in Figure 2 The image shows movable alternative filters, labeled Alternate Filter A and Alternate Filter B. Theoretically, both filters can be designed to move via a transmission mechanism, driven by a power unit, into the optical path between the light-emitting assembly and the light-emitting port. Figure 2 The example shown is a fixed alternative filter A, while alternative filter B is movable. This design allows the filter assembly to achieve different filtering effects in different operating states by using only alternative filter A or by using both filters in combination.

[0054] It is important to clarify that the power unit is a key component in the filter assembly, responsible for providing power to drive the transmission mechanism. The transmission mechanism then converts the power from the power unit into the movement of the alternative filter B, ensuring that alternative filter B can be precisely positioned as needed. Figure 2 In the middle, the transmission mechanism is connected to the alternative filter B, allowing it to move between the light-emitting component and the light-emitting port.

[0055] In addition, the skin tone detection module is responsible for detecting the skin tone type of the target skin and sending the detection results to the control unit. Based on the skin tone detection results, the control unit controls the power unit to drive the transmission mechanism, realizing the automatic switching of the filters. This automated filter switching mechanism allows the device to automatically adjust the light processing parameters according to different users' skin tones, thereby improving the personalization and safety of light processing.

[0056] It should be understood that the light-emitting component is the part that generates the initial processing light, and it is located upstream of the filter component. The initial processing light first passes through the filter component, and after being filtered by the filter plate, it forms the target processing light, which is then emitted from the light-emitting port and acts on the skin. Figure 2 In the middle, the light-emitting component is located to the left of the light-filtering component. The light is emitted from the light-emitting component, filtered by the light-filtering component, and finally emitted from the light-emitting port.

[0057] Figure 2 It also demonstrated the positional changes of the filter assembly under different operating conditions. Figure 2 On the left side, only alternative filter A is located between the light-emitting assembly and the light-emitting port, and is in working condition; while... Figure 2 On the right side, both alternative filter A and alternative filter B are located between the light-emitting component and the light-emitting port, working together to filter the light. This design allows the device to flexibly select the filtering method based on skin color detection results, adapting to the needs of users with different skin tones. This structure enables more precise light processing control, improving light processing efficiency while ensuring user safety.

[0058] It should be understood that Figure 1 and Figure 2 The embodiments shown are merely examples. There are many possible solutions for the filter components in the skin light processing device of this application, and they are not limited to the examples above.

[0059] Reference Figure 3A The skin light processing method according to the embodiments of this application is applied to the skin light processing device of the embodiments of this application. The skin light processing device includes a housing, a skin color detection module, a light emitting component, and a filter component. The skin light processing method may include: Step S301: Perform skin color detection on the target skin using the skin color detection module to determine the target skin color type. Step S302: Based on the target skin color type, determine at least one target filter from the candidate filters; Step S303: Control the power unit of the filter assembly to perform a drive operation, and coordinate with the transmission mechanism of the filter assembly to place at least one target filter between the light-emitting assembly and the light-emitting port. Step S304: Control the light-emitting component to generate the original processing light, and filter the original processing light into the target processing light through the target filter; wherein the target processing light is emitted from the light-emitting port of the housing.

[0060] Some embodiments of this application construct a complete automated workflow that links skin color perception, decision making, and optical execution into a closed-loop system, realizing full-link autonomous control from skin detection to light output, and solving the shortcomings of traditional manual operation mode in terms of efficiency and accuracy.

[0061] In step S301 of some embodiments, the skin color detection module performs skin color detection on the target skin to determine the target skin color type. It's important to note that at the initial stage of the process, the skin color detection module, acting as the system's sensing input, actively measures the optical properties of the target skin area. This module emits multi-band probe light and collects reflectance spectral data from the skin surface, or uses a digital image sensor to acquire skin color space distribution information. After processing by a built-in algorithm, it generates a classification result for the target skin color type. This process quantifies continuously changing individual skin color differences into discrete, identifiable type labels, providing standardized input parameters for subsequent filtering decisions. Compared to traditional methods relying on operator experience, this step transforms subjective assessment into objective measurement, eliminating the risk of skin color misjudgment caused by human factors. Furthermore, the detection action seamlessly integrates with the device's contact with the skin, requiring no additional operation.

[0062] Referring to 3B, a table showing the correspondence between skin tone types and corresponding filter wavelengths is presented. This table guides the selection of suitable filters based on different skin tone types to ensure the safety and effectiveness of the phototherapy device during the light treatment process. The table lists six skin tone types, from the lightest white (Type I) to the darkest dark brown / black (Type VI). These skin tone types are categorized based on the amount of melanin in the skin. Melanin is a pigment in the skin that determines the depth of skin color and affects the skin's light absorption characteristics.

[0063] For each skin tone type, the table provides the corresponding filter wavelength range. The function of a filter is to filter out light below a specific wavelength to reduce the absorption of light energy by melanin in the skin, thereby reducing the risk of epidermal overheating and ensuring that light can more effectively reach the deeper skin tissues that require light treatment. For example, for white (Type I) and ivory (Type II) skin tones, the recommended filter wavelength is 560-1200 nm, and light below 560 nm should be filtered out because lighter skin tones have lower melanin content and do not require very long wavelengths to safely penetrate the skin.

[0064] As skin tone deepens, the recommended wavelength for filters also increases. For beige (Type III) skin, a filter with a wavelength of 590-1200 nm is recommended; for light brown (Type IV) skin, a filter with a wavelength of 640-1200 nm is recommended. This is because darker skin contains more melanin, requiring a longer wavelength to penetrate effectively. For brown (Type V) skin, the filter wavelength is also 640-1200 nm, indicating that there may be overlap in filter selection for some medium to dark skin tones.

[0065] For dark brown / black (Type VI) skin tones, no light is emitted. Under these skin tones, the light-based skin treatment device does not emit light to avoid potential skin damage. This is because very dark skin tones contain a large amount of melanin, which absorbs light energy very strongly, and using conventional filters may still not ensure the safety of the light treatment.

[0066] In summary, selecting the appropriate filter based on the user's skin tone type optimizes light processing effects and protects skin safety. This personalized filter selection is a crucial aspect of phototherapy for skin.

[0067] Reference Figure 4 According to some embodiments of this application, the skin color detection module is configured with a supplementary light unit, a reflected light sensing unit, and a skin analysis unit. Step S301 involves performing skin color detection on the target skin using the skin color detection module to determine the target skin color type, which may include: Step S401: Control the supplementary light unit to release the detection incident light towards the target skin; Step S402: Collect the detection reflected light corresponding to the detection incident light through the reflection light sensing unit; Step S403: Use the skin analysis unit to perform skin appearance analysis on the detected reflected light to determine the target skin color type.

[0068] This application clarifies the functional architecture and workflow of the skin color detection module. Through the division of labor and cooperation among the supplementary light unit, the reflected light sensing unit, and the skin analysis unit, a closed-loop measurement from optical detection to skin color classification is achieved, providing a reliable input signal for subsequent filtering decisions.

[0069] In step S401 of some embodiments, the supplementary light unit is controlled to release probe incident light onto the target skin; It should be noted that the skin color detection module employs an active optical measurement scheme, the core of which lies in the spatial configuration of the supplementary light unit and the reflected light sensing unit. The supplementary light unit, as the system's excitation source, is responsible for releasing specific wavelengths or broadband incident light to the target skin area. This light typically covers the visible to near-infrared band, and its intensity and spectral distribution are pre-calibrated to ensure identifiable differences in reflectivity against different skin color backgrounds. The incident light illuminates the skin surface at a certain angle, penetrates the stratum corneum, and is absorbed by chromophores such as melanin and hemoglobin in the epidermis. The remaining energy is scattered to form reflected light carrying the skin's optical properties. The light source selection for the supplementary light unit must consider stability and safety, often employing an LED array or a low-power xenon lamp, along with a light homogenizing device to achieve uniform illumination.

[0070] In step S402 of some embodiments, the detection reflected light corresponding to the detection incident light is collected by the reflection light sensing unit; It should be noted that the reflected light sensing unit is deployed along the reflection path of the incident light and is responsible for accurately acquiring the spectral information of the reflected light. This unit is typically composed of a multi-channel photodetector or a miniature spectrometer, capable of simultaneously recording the intensity of reflected light at different wavelengths. Since melanin absorbs light at significantly different wavelengths, the spectral distribution curve of the reflected light directly reflects the chromophore composition and concentration of the target skin. Lighter skin has lower melanin content, resulting in relatively higher reflectivity in the short wavelength range; darker skin, on the other hand, has stronger reflected light in the long wavelength range due to the greater absorption of short-wavelength components by melanin. The reflected light sensing unit converts the acquired light signal into a digital electrical signal and transmits it to the skin analysis unit for further processing, completing the conversion from physical light signal to computable data.

[0071] In step S403 of some embodiments, the skin analysis unit performs skin appearance analysis on the detected reflected light to determine the target skin color type of the target skin.

[0072] It should be noted that the skin analysis unit, as the core of data processing, performs skin appearance analysis algorithms on the spectral data output by the reflected light sensing unit. This unit first normalizes the intensity of the detected reflected light and filters out noise, then extracts key spectral feature parameters, such as the reflectance ratio or the rate of change of spectral slope in a specific wavelength band. Based on a pre-defined skin color classification model, the skin analysis unit compares the extracted feature parameters with a standard skin color type library. Through pattern matching or a machine learning classifier, the skin analysis unit finally outputs the target skin color type label corresponding to the target skin and transmits it to the main control system for filter selection. This process transforms the raw spectral data into discretized decision-making criteria, achieving quantitative evaluation and standardized classification of skin color differences, ensuring the accuracy and repeatability of subsequent filter decisions.

[0073] Reference Figure 5 According to some embodiments of this application, step S403, which utilizes a skin analysis unit to perform skin appearance analysis on the detected reflected light to determine the target skin color type, may include: Step S501: Perform imaging processing based on the detected reflected light to obtain a skin fitting image; Step S502: The skin fitting image is purified to extract skin color association information; Step S503: Input the skin color association information into the preset skin color evaluation model to extract skin color features and obtain the corresponding skin color depth feature value. Step S504: Based on the skin color depth feature value, determine the target skin color type of the target skin from the preset skin color classification benchmark.

[0074] This application discloses the data processing chain inside the skin analysis unit. Through multi-stage signal conversion and model inference, the original optical signal is gradually refined into a skin color type label that can be used for filtering decisions, realizing the leap from physical light signal to classification semantic information.

[0075] In some embodiments, step S501 involves imaging based on the detected reflected light to obtain a skin fitting image; It should be noted that the skin analysis unit first performs imaging processing on the probed reflected light collected by the reflective light sensing unit to generate a skin fitting image. The probed reflected light is essentially a discrete sequence of light intensity values. The imaging processing module maps these one-dimensional or two-dimensional spectral data into a two-dimensional image matrix. This process reconstructs the distribution pattern of light intensity on the skin surface based on the incident angle of the probed light and the spatial arrangement of the reflective light sensing units, forming a preliminary visual representation. Each pixel value in the skin fitting image corresponds to the reflectivity or spectral characteristics of a specific location. Although not a traditional visible light photograph, it carries information about the optical heterogeneity of the skin surface, providing a structured data foundation for subsequent feature extraction.

[0076] In step S502 of some embodiments, the skin fitting image is purified to extract skin color association information; It should be noted that after obtaining the skin fitting image, this embodiment of the application performs purification processing to extract skin color association information. The purification processing aims to eliminate interference from non-skin color factors, such as hair, pores, dandruff, ambient light, or irregular textures on the skin surface. This step can employ image segmentation algorithms to identify and mask non-skin regions, or remove high-frequency noise components through frequency domain filtering. Simultaneously, this embodiment of the application may perform color space conversion on the image, mapping the original data to skin color-sensitive color channels to enhance melanin-related signal components. The skin color association information output by the purification processing is a cleaned and enhanced feature map, which strips away redundant details and retains core data directly related to melanin concentration and distribution, thus preparing the model input for quality.

[0077] Reference Figure 6 According to some embodiments of this application, step S502, which purifies the skin fitting image and extracts skin color association information, may include: Step S601: Perform grayscale processing on the skin fitting image to highlight the apparent texture features of the skin fitting image, and obtain the skin apparent grayscale image. Step S602: Perform contrast enhancement processing on the apparent grayscale image of the skin to obtain an apparent grayscale enhanced image; Step S603: Perform binarization on the apparent grayscale enhanced image to generate a skin color interference mask; Step S604: Based on the skin color interference factor mask, perform skin original appearance restoration on the skin fitting image to obtain the skin original appearance fitting map; Step S605: Extract skin color correlation information from the original skin appearance fitting map.

[0078] This application describes in detail the specific algorithmic path for extracting pure skin color information from skin fitting images. Through multi-step image processing techniques, interfering factors are removed, and high-quality skin color correlation data that can be used for model analysis is finally obtained.

[0079] In some embodiments, step S601 involves performing grayscale processing on the skin fitting image to highlight the apparent texture features of the skin fitting image, thereby obtaining a skin apparent grayscale image. It should be noted that the skin-fitted image first undergoes a grayscale processing stage after generation, aiming to highlight the textural features of the skin surface. In this embodiment, the original color or spectral image is converted to grayscale representation using a weighted average or channel separation algorithm, eliminating interference from color information while preserving brightness variations and spatial structure information. This conversion allows texture features such as hair, pores, and fine lines on the skin surface to present clearer contrast in the grayscale domain, laying the foundation for subsequent identification of these non-skin-colored interference elements. The grayscale-processed image retains the geometric structure of the skin-fitted image but simplifies the data dimensions, reduces the complexity of subsequent calculations, and allows the apparent texture features to be concentrated in a single channel.

[0080] In step S602 of some embodiments, the apparent grayscale image of the skin is subjected to contrast enhancement processing to obtain an apparent grayscale enhanced image; It should be noted that after obtaining the apparent grayscale image of the skin, this embodiment of the application performs contrast enhancement processing. This step employs histogram equalization or adaptive contrast stretching algorithms to expand the dynamic distribution range of grayscale values ​​and enhance the brightness difference between the foreground texture and the background skin. After enhancement processing, the originally faint hair edges or pore contours are significantly sharpened, forming a high-contrast apparent grayscale enhanced image. This enhancement operation greatly improves the distinguishability between interfering factors and normal skin areas, creating conditions for accurate segmentation. Contrast enhancement is not a simple brightness adjustment, but rather an adaptive optimization based on local statistical characteristics, ensuring that artifacts or oversaturation are not introduced while enhancing details.

[0081] In some embodiments, step S603 involves performing a binarization operation on the apparent grayscale enhanced image to generate a skin color interference mask. It should be noted that, based on the apparent grayscale enhancement image, this embodiment performs a binarization operation to generate a skin color interference mask. This process uses an adaptive threshold segmentation algorithm to divide image pixels into foreground and background categories: the foreground corresponds to high-contrast interference areas such as hair, dandruff, and pores, while the background corresponds to a relatively smooth skin base. After binarization, a skin color interference mask in binary image form is generated, where interference areas are marked with specific values, and skin areas are marked with background values. This mask is essentially a spatial selection template that precisely identifies the pixel locations that need to be suppressed or removed. Its generation relies on the texture features enhanced in the previous steps, ensuring the accuracy and robustness of interference detection.

[0082] In some embodiments, step S604 involves restoring the original skin appearance of the skin fitting image based on a skin color interference factor mask to obtain a skin original appearance fitting image. It should be noted that after obtaining the skin color interference mask, this embodiment applies it to the original skin fitting image for skin restoration. The restoration algorithm employs image inpainting or texture synthesis techniques. For the interference areas marked by the mask, pixel values ​​or spectral features are sampled from the surrounding healthy skin areas, and the data damaged by interference is filled in through interpolation, diffusion, or a deep learning-based generative model. After restoration, interference factors such as hair and pores in the skin fitting image are replaced by smooth skin texture, generating a skin original appearance fitting image. This image maintains the original skin color optical characteristics while eliminating noise from non-skin color elements, restoring the continuity and uniformity of the skin surface, and providing a clean visual basis for subsequent skin color analysis.

[0083] In some embodiments, step S605 involves extracting skin color association information from the original skin appearance fitting map.

[0084] It should be noted that skin color correlation information is extracted from the original skin appearance fitted image. At this point, the image has been stripped of texture interference, retaining only spectral reflectance features directly related to melanin concentration and hemoglobin distribution. Extraction operations may include calculating the average reflectance of a specific region of interest, constructing simplified spectral curves, or generating low-dimensional feature vectors. The obtained skin color correlation information undergoes purification processing, effectively compressing the data dimensionality while retaining the core features needed to determine skin color depth. This information is then output to the skin color evaluation model, completing the entire preprocessing chain from the original detection signal to features recognizable by the model.

[0085] Reference Figure 7 According to some embodiments of this application, step S502, which purifies the skin fitting image and extracts skin color association information, may include: Step S701: Extract the brightness and color representation parameters corresponding to each primitive pixel in the skin fitting image; Step S702: Based on the brightness representation parameter and the color representation parameter, clustering is performed on each primitive pixel to obtain multiple clustered color clusters; Step S703: Identify skin color clusters and interfering factor color clusters from multiple clustered color clusters; Step S704: Perform edge detection calculation on the skin fitting image based on skin color clusters and interference factor color clusters to determine the original skin region in the skin fitting image; Step S705: Extract skin color association information from the original skin area.

[0086] This embodiment proposes a skin image purification scheme based on pixel-level feature clustering and edge detection. Starting directly from the primitive pixels of the skin fitted image, it calculates the brightness and color dual-dimensional representation parameters to automatically classify the skin and interference factors in the feature space, thereby accurately segmenting the pure original skin region.

[0087] In step S701 of some embodiments, the luminance representation parameter and color representation parameter corresponding to each primitive pixel in the skin fitting image are extracted; It should be noted that, during the feature extraction stage, this embodiment scans each pixel in the fitted skin image and calculates the brightness and color representation parameters for each pixel. The brightness representation parameter typically corresponds to the pixel's luminance component or reflected light intensity value, reflecting the differences in brightness between the skin and interfering factors under illumination. The color representation parameter corresponds to color information such as hue, saturation, or the ratio of red, green, and blue channels, used to capture the differences in spectral characteristics of different materials. This two-dimensional feature description method can comprehensively characterize the subtle differences in the optical properties of pixels, providing a highly discriminative input vector for subsequent clustering analysis, ensuring that interfering factors such as hair and dandruff can be effectively separated from normal skin in the feature space.

[0088] In step S702 of some embodiments, based on the brightness characterization parameter and the color characterization parameter, clustering is performed on each primitive pixel to obtain multiple clustered color clusters; It should be noted that after obtaining the feature vectors of all pixels, this embodiment performs clustering processing based on brightness and color representation parameters. This process employs unsupervised learning algorithms, such as K-means clustering or mean-shifting, to map all primitive pixels to a high-dimensional feature space and automatically divide them into multiple color clusters based on feature similarity. Each color cluster represents a set of pixels with similar optical properties, where some clusters correspond to normal skin areas, while others correspond to interfering factors such as hair, pores, shadows, or dandruff. The clustering results do not rely on a preset template but are adaptively formed based on the actual data distribution of the skin-fitted image, thus exhibiting strong robustness to different lighting conditions and individual differences.

[0089] In some embodiments, step S703 involves determining skin color clusters and interfering factor color clusters from multiple clustered color clusters; It should be noted that after clustering, this embodiment of the application needs to identify and label skin color clusters and interference factor color clusters from multiple clustered color clusters. This step is usually based on the average brightness, color mean, and spatial distribution characteristics of pixels within the cluster. Skin color clusters generally occupy the main area of ​​the image and have smooth spatial continuity and relatively uniform reflection characteristics; interference factor color clusters are characterized by small-area clusters of high brightness or abnormal color. By combining statistical analysis with prior knowledge, this embodiment of the application assigns semantic labels to each cluster, clearly distinguishing which pixels belong to the original skin information to be retained and which belong to the noise interference to be removed, providing clear binarized prior guidance for edge detection.

[0090] In some embodiments, step S704 involves performing edge detection calculations on the skin fitting image based on skin color clusters and interference factor color clusters to determine the original skin region in the skin fitting image. It should be noted that, based on the labeled skin color clusters and interference factor color clusters, this embodiment of the application can perform edge detection calculations on the skin fitting image to accurately locate the boundary of the original skin region. This process utilizes the feature differences between the skin color clusters and interference factor color clusters to detect gradient abrupt changes at the intersection of the two types of pixels, generating closed edge contour lines. The resulting original skin region is continuously distributed in the image space and does not contain any interference factor pixels, achieving accurate extraction of the effective skin region.

[0091] In some embodiments, step S705 involves extracting skin color association information from the original skin region.

[0092] It should be noted that after the original skin region is determined, the embodiments of this application extract skin color association information from it. At this time, the original skin region has been completely stripped of interference items such as hair, dandruff, and pores, retaining only pure skin reflection features. The extraction operation may include calculating the average brightness of pixels within the region, the dominant color distribution, and simplifying the spectral curve to generate a low-dimensional feature vector that can represent the current skin melanin level and optical properties. This vector is output as skin color association information to the subsequent skin color evaluation model for calculating skin color depth feature values. Compared with traditional statistical methods based on whole images, this scheme significantly improves the purity and representativeness of skin color information extraction through pixel-level clustering and precise edge segmentation, providing a high-quality data foundation for skin color classification.

[0093] Reference Figure 8 According to some embodiments of this application, step S704, which performs edge detection calculation on the skin fitting image based on skin color clusters and interference factor color clusters, may further include: Step S801: Perform edge detection calculation on the skin fitting image based on skin color clusters and interference factor color clusters to determine the original skin region and the apparent abnormal region in the skin fitting image. After step S704, which performs edge detection calculation on the skin fitting image based on skin color clusters and interference factor color clusters to determine the original skin region and the apparent abnormal region in the skin fitting image, the method may further include: Step S802: Perform appearance abnormality analysis based on the brightness characterization parameters and color characterization parameters corresponding to the appearance abnormality region to determine the appearance abnormality type of the target skin. Step S803: In response to the apparent abnormality type belonging to a preset light processing taboo type, an alarm intervention operation is performed.

[0094] This application embodiment adds a safety monitoring mechanism to the basic edge detection function. By distinguishing between the original skin appearance area and the apparent abnormal area, and identifying contraindications for the abnormal area, it forms the ability to predict risks and actively intervene before light processing.

[0095] In some embodiments, step S801 involves performing edge detection calculations on the skin fitting image based on skin color clusters and interference factor color clusters to determine the original skin region and the apparent abnormal region in the skin fitting image. It should be noted that edge detection calculation is no longer limited to simply extracting the original skin area, but also simultaneously identifies apparent abnormal areas. In this embodiment, when detecting based on the clustering results of skin color clusters and interfering factor color clusters, in addition to detecting the continuous boundaries of skin color clusters to locate the normal skin range, interfering factor color clusters that fail to be classified into skin color clusters and exhibit specific spatial distribution patterns are also marked as apparent abnormal areas. These abnormal areas may correspond to pigmentation, inflammatory erythema, open wounds, infected lesions, or other skin lesions, and their brightness and color representation parameters deviate significantly from the statistical characteristics of healthy skin. By differentially labeling the two types of regions through edge detection algorithms, this embodiment establishes a spatial semantic segmentation map of the skin state at the geometric level, providing clear regional localization for subsequent anomaly analysis.

[0096] In some embodiments, step S802 involves performing an appearance abnormality analysis based on the brightness characterization parameters and color characterization parameters corresponding to the appearance abnormality region, in order to determine the appearance abnormality type of the target skin. It should be noted that, for the detected abnormal areas, this embodiment further invokes an abnormality analysis module for in-depth discrimination. This module extracts the brightness and color representation parameters corresponding to the abnormal areas, constructs local feature vectors, and compares them with a preset abnormality type database. The analysis process may involve threshold judgment or lightweight classifier inference; for example, high brightness and red color representation parameters may indicate inflammation, and dark areas of a specific shape may correspond to moles or scars. Through this analysis, this embodiment can output an abnormality type label for the target skin, transforming ambiguous abnormal areas into specific pathological or physiological descriptions, achieving a leap from geometric segmentation to semantic diagnosis.

[0097] In some embodiments, step S803 involves performing an alarm intervention operation in response to the apparent anomaly type belonging to a preset light processing taboo type.

[0098] It should be noted that when the identified abnormality type belongs to a preset light processing contraindication type, this embodiment of the application triggers an alarm intervention operation. The light processing contraindication type database defines skin conditions that are unsuitable for light processing, such as acute dermatitis, active herpes, recent sunburn, deep pigmentation lesions, or suspected malignant skin lesions. The alarm intervention operation may include immediately stopping the energy output of the light-emitting component, prompting the operator through audio and visual signals, highlighting the abnormal area on the display screen, or locking the light processing function until the abnormality is resolved. This mechanism extends the function of the skin color detection module from simple skin color recognition to safety risk assessment, ensuring that the device can actively stop energy emission when encountering skin conditions unsuitable for light processing, avoiding photothermal stimulation of the abnormal area that could aggravate the condition or cause secondary damage, thereby embedding a key safety redundancy design into the automated light processing process.

[0099] In step S503 of some embodiments, skin color association information is input into a preset skin color evaluation model to extract skin color features and obtain the corresponding skin color depth feature value. It's important to note that the skin color association information is then input into a pre-built skin color assessment model for deep feature extraction. This model is typically a classifier trained using machine learning or deep learning frameworks, containing multi-layered convolutional neural networks or support vector machines. The model automatically learns high-level abstract features from the skin color association information through nonlinear transformations, such as the overall shape of the spectral curve, the contrast between specific bands, and the uniformity of spatial distribution. After forward propagation, the model outputs a continuous skin color depth feature value, which quantifies the melanin level or photobiological classification index of the target skin. This skin color depth feature value is not a direct category label, but rather a scalar or low-dimensional vector representing the degree of skin color darkness. It provides precise coordinate positioning on the continuous spectrum of skin types, offering fine-grained decision-making for the final discrete classification.

[0100] In some embodiments, step S504 involves determining the target skin color type from a preset skin color classification benchmark based on skin color depth feature values.

[0101] It should be noted that the target skin color type is retrieved from a preset skin color classification benchmark based on skin depth feature values. The skin color classification benchmark is a lookup table or decision tree established according to skin photobiological typing standards, dividing the range of skin depth feature values ​​into several intervals, each interval mapping to a specific skin type label. For example, a feature value falling within one interval corresponds to type I white skin, and falling within another interval corresponds to type IV brown skin. This matching process is completed through threshold comparison or table lookup operations, outputting a discrete target skin color type. Thus, the skin analysis unit completes the full conversion from optical detection signals to classification semantic information, providing direct and explicit control instructions for the filter assembly to automatically select the matching target filter.

[0102] In step S302 of some embodiments, at least one target filter is determined from each candidate filter according to the target skin color type; It should be noted that, based on the target skin tone type signal output by the skin tone detection module, the control unit initiates the filter decision logic to determine the target filter from at least two candidate filters with different cutoff wavelengths. This decision-making process is based on a preset mapping table. For example, a 560nm filter is selected when the target skin tone type corresponds to light skin, a 590nm filter is selected when it corresponds to medium skin tone, and a 640nm filter is selected when it corresponds to dark skin tone. This mapping relationship stems from the physical characteristics of melanin absorption spectrum—the absorption coefficient decreases with increasing wavelength. Therefore, dark skin requires a longer wavelength filter to avoid excessive heat absorption by the epidermis. The decision result is output in the form of digital commands, driving the subsequent actuators to perform actions, realizing the conversion from perceived data to action commands, and ensuring that the filter selection is always accurately matched with individual skin tone characteristics.

[0103] According to some embodiments of this application, one of the candidate filters of the filter assembly is fixed between the light-emitting assembly and the light-emitting port, and the remaining candidate filters of the filter assembly are connected to the transmission mechanism. Step S302, determining at least one target filter from the candidate filters according to the target skin color type, may include: If the target skin color type meets the preset first filtering conditions, the alternative filter fixed between the light-emitting component and the light-emitting port will be determined as the target filter. If the target skin color type meets the preset second filtering conditions, the alternative filter fixed between the light-emitting component and the light-emitting port, and the alternative filter connected to the transmission mechanism, are jointly determined as the target filter.

[0104] According to some embodiments of this application, before step S302, which determines at least one target filter from the candidate filters based on the target skin color type, the method may further include: Obtain skin tone light absorption baseline data; whereby skin tone light absorption baseline data is used to reflect the correspondence between different skin tone depths and different absorption wavelengths. Based on skin color light absorption reference data, at least two candidate filters are identified. These candidate filters are used to filter out light shorter than the specified absorption wavelength. Different candidate filters correspond to different specified absorption wavelengths.

[0105] This application adds a data preparation stage before the filter selection logic. By pre-establishing a quantitative relationship between skin color optical properties and filter parameters, it provides a scientific basis for subsequent automatic matching and ensures that the configuration of the filter components conforms to the physiological laws of the skin.

[0106] Obtaining baseline data on skin tone light absorption is a fundamental prerequisite for constructing personalized filtering solutions. This baseline data comes from systematic measurements and statistical analysis of skin optical properties, revealing the mapping relationship between different skin tone depths and specific absorption wavelengths. Skin tone depth is determined by the amount of melanin in the epidermis, directly affecting the skin's absorption coefficient for different wavelengths of light; the absorption wavelength is a critical wavelength threshold set to avoid overheating of the epidermis. Light exceeding this threshold is relatively safe due to reduced melanin absorption. The baseline data is usually stored in tabular or functional form, recording the continuous variation from shorter absorption wavelengths for light skin to longer absorption wavelengths for dark skin, providing a standardized reference framework for filter configuration.

[0107] The process of determining candidate filters based on skin tone light absorption benchmark data embodies a reverse design approach. In this embodiment, based on discrete skin tone gradations in the benchmark data, several absorption-defined wavelengths representing different skin tone ranges are selected; for example, 560 nm for light skin tones, 590 nm for medium skin tones, and 640 nm for dark skin tones. Subsequently, a corresponding candidate filter is designed for each absorption-defined wavelength, whose optical coating characteristics ensure that all light components shorter than that wavelength are filtered out, allowing only the longer wavelengths to pass through. The resulting at least two candidate filters constitute a filter assembly configuration covering the skin tone range of the target user group. Each filter corresponds to a safe lower wavelength limit for a specific skin tone depth, laying the hardware foundation for subsequent dynamic selection based on real-time skin tone detection results.

[0108] This design, combining pre-set reference data with hardware configuration, elevates the safety of skin light processing devices from experience-based judgment to a data-driven level. Traditional devices rely on operators' subjective selection of filters, lacking quantitative basis. In contrast, this embodiment solidifies melanin absorption characteristics into a queryable and verifiable standard through skin color light absorption reference data, ensuring that the filter selection logic strictly corresponds to the physiological laws of skin. When the skin color detection module outputs the target skin color type, this embodiment eliminates the need for complex calculations; it simply uses a lookup table to select the corresponding alternative filter. This simplifies the control logic and ensures that the spectral cutoff wavelength of each filter has undergone optical safety verification. This avoids the risk of excessive absorption of short-wavelength light by dark skin at the source, providing a reliable optical safety boundary for automated light processing.

[0109] According to some embodiments of this application, step S302, which determines at least one target filter from among the candidate filters based on the target skin color type, may include: Based on the target skin color type, adaptive wavelength analysis is performed to obtain the target absorption wavelength; Based on the target absorption wavelength, select the target filter from at least two candidate filters.

[0110] This application's embodiments have optimized the filter selection process in layers, breaking down the original single skin color mapping decision into two progressive steps: wavelength resolution and filter matching. This improves the logical clarity and maintainability of parameter selection, while also enhancing the system's adaptability to continuous changes in skin type.

[0111] The core inference layer of this process is adaptive wavelength analysis based on the target skin color type. This adaptive wavelength analysis is not a simple table lookup operation, but rather a dynamic calculation of the optimal target absorption wavelength based on the melanin concentration level corresponding to the target skin color type. This calculation process may involve interpolation algorithms or piecewise linear mapping to handle non-standard types or boundary cases output by the skin color detection module. The target absorption wavelength represents the critical wavelength value that, under the current skin color conditions, ensures effective energy penetration into deep tissues while minimizing the risk of epidermal thermal damage. Through this analysis step, this embodiment transforms discrete skin color type labels into continuous optical parameters, making subsequent hardware matching more accurate and flexible.

[0112] The selection of a target filter from candidate filters based on the target absorption wavelength constitutes the execution layer of the process. In this embodiment, at least two candidate filters are pre-set, each with a fixed cutoff wavelength, such as 560 nm, 590 nm, or 640 nm. When the target absorption wavelength obtained from adaptive wavelength analysis falls within the effective coverage range of a certain filter, the control unit selects that filter as the target filter. The selection logic may employ the minimum difference principle, that is, selecting the filter with the cutoff wavelength closest to and not less than the target absorption wavelength, ensuring that the actual filtered short-wavelength components meet or exceed the theoretical safety threshold. This wavelength-based matching method directly maps skin color depth information to specific optical hardware configurations, achieving a precise connection from abstract physiological characteristics to physical optical path control.

[0113] It should be understood that adaptive wavelength resolution is independent of specific hardware configurations. This means that when skin color light absorption benchmark data is updated or safety standards are adjusted, only the resolution algorithm needs to be modified, without reconstructing the filter selection logic. Furthermore, adding or removing alternative filters or changing wavelength parameters will not affect the stability of the upper-level resolution module. This decoupled design enhances the system's scalability and maintainability, allowing developers to flexibly optimize wavelength resolution rules for different population characteristics or emerging application scenarios without altering the underlying mechanical switching logic. This provides a clear technical path for product iteration while ensuring the safety of light processing.

[0114] In step S303 of some embodiments, the power unit of the filter assembly is controlled to perform a drive operation, and at least one target filter is placed between the light-emitting assembly and the light-emitting port in coordination with the transmission mechanism of the filter assembly. It should be noted that the power unit and transmission mechanism of the filter assembly are responsible for translating decision commands into physical displacement. After the control unit sends a drive signal to the power unit, the power unit outputs mechanical torque or thrust, which is transmitted to the target filter via the transmission mechanism, causing it to move precisely along the guide rail system to the center position of the optical path between the light-emitting assembly and the light-emitting port. This process is completed within seconds, and the filter positioning accuracy reaches the millimeter level, ensuring the accuracy of optical alignment. Compared with the traditional plug-and-play replacement method, this step does not require manual opening of the equipment casing or direct contact with optical components, which improves operational efficiency and avoids optical path misalignment caused by filter contamination or installation errors, maintaining the cleanliness and stability of the internal optical environment.

[0115] Reference Figure 9 According to some embodiments of this application, the target filter fixed between the light-emitting component and the light-emitting port is a first target filter, and the target filter connected to the transmission mechanism is a second target filter. Step S303 controls the power unit of the filter component to perform a driving operation, cooperating with the transmission mechanism of the filter component to place at least one target filter between the light-emitting component and the light-emitting port, which may include: Step S901: If the target skin color type meets the preset first filtering conditions, control the power unit of the filter assembly to perform a driving operation to move the second target filter away from the light-emitting assembly and the light-emitting port; wherein, the first target filter is used to filter the original processing light into the target processing light. In step S902, if the target skin color type meets the preset second filtering conditions, the power unit of the filter assembly is controlled to perform a driving operation to move the second target filter between the light-emitting assembly and the light-emitting port; wherein, the first target filter and the second target filter are used together to filter the original processing light into the target processing light.

[0116] This application describes a dual-filter collaborative control architecture that, through the combined configuration of a fixed first target filter and a movable second target filter, achieves two differentiated filtering modes based on skin color type judgment, providing the device with a wider safe wavelength adjustment range.

[0117] It should be noted that the first target filter is fixed in the optical path between the light-emitting component and the light-emitting port, forming the basic filter layer of the device. This filter has a specific cutoff wavelength. Regardless of the position of the second target filter, the original processed light must first pass through the first target filter, thus forming a minimum guarantee of short-wavelength filtering. The second target filter is connected to the transmission mechanism and can enter or exit the optical path under the drive of the power unit. Its optical parameters are complementary to those of the first target filter. This combination of fixed and movable arrangement avoids the optical axis misalignment or mechanical wear problems that may be caused by frequent movement of a single filter, while ensuring that the system is always under the protection of at least one filter, maintaining basic optical safety.

[0118] In step S901 of some embodiments, if the target skin color type meets the preset first filtering conditions, the power unit of the filter assembly is controlled to perform a driving operation to move the second target filter away from the light emitting assembly and the light emitting port; wherein, the first target filter is used to filter the original processing light into the target processing light. It should be noted that when the target skin tone meets the preset first filtering condition, the control unit sends a removal command to the power unit. The power unit executes a drive operation, removing the second target filter from the optical path between the light-emitting component and the light-emitting port via a transmission mechanism. At this time, only the first target filter is involved in the operation. The first filtering condition typically corresponds to a lighter skin tone, where the epidermal melanin has a relatively weak absorption capacity for short-wavelength light, and the wavelength filtering provided by a single filter is sufficient to ensure the safety of light processing. The original processing light is emitted directly after being filtered by the first target filter. The spectral characteristics of the target processing light are determined by the cutoff wavelength of this fixed filter. In this embodiment, the light is in a low filtering intensity mode, which can retain more effective wavelengths to improve light processing efficiency.

[0119] In step S902 of some embodiments, if the target skin color type meets the preset second filtering conditions, the power unit of the filter assembly is controlled to perform a driving operation to move the second target filter between the light emitting assembly and the light emitting port; wherein, the first target filter and the second target filter are used together to filter the original processing light into the target processing light.

[0120] It should be noted that if the target skin tone meets the preset second filtering conditions, the control logic executes in reverse. The power unit drives the transmission mechanism to move the second target filter between the light-emitting component and the light-emitting port, so that it is superimposed on the first target filter in the optical axis direction. The second filtering conditions generally correspond to darker skin tones with higher epidermal melanin content, requiring more stringent filtering of short-wavelength components to prevent thermal damage. When the two filters work together, their combined cutoff wavelength is determined by the superposition effect of their optical properties, usually equivalent to taking the longer cutoff wavelength, thereby achieving joint filtering of a wider range of short-wavelength light. The initial processing light must pass through the first and second target filters sequentially. After undergoing double filtering, the target processing light has a purer long-wavelength component, ensuring the light processing safety for users with darker skin tones.

[0121] It should be understood that the condition-driven dual-filter control mechanism mentioned above offers both flexibility and cost-effectiveness in engineering implementation. Compared to schemes with three or more independent filters, the two-filter stacked design achieves multi-level wavelength selection with fewer physical components, reducing mechanical complexity and manufacturing costs. Simultaneously, the division between the first and second filter conditions can be dynamically adjusted based on skin tone light absorption reference data, enabling the system to adapt to a wider range of users. When the skin tone detection module outputs a boundary type, the control unit can select either a single-filter or dual-filter mode, avoiding insufficient safety redundancy or excessive sacrifice of therapeutic efficacy due to inadequate skin tone grading. This provides a reliable hardware control strategy for precise control of the phototherapy device in diverse application scenarios.

[0122] In step S304 of some embodiments, the light-emitting component is controlled to generate the original processed light, and the original processed light is filtered into the target processed light through the target filter; wherein the target processed light is emitted from the light-emitting port of the housing.

[0123] It should be noted that the light-emitting component initiates the light-emitting process after the filter is in place, generating unmodulated, high-intensity raw processing light. This light first strikes the target filter, which, based on its optical coating characteristics, selectively transmits light within a specific wavelength range, actively filtering out short-wavelength components easily absorbed by melanin and retaining long-wavelength components capable of penetrating deep tissues. This reshapes the spectrum of the raw processing light into the target processing light that meets the current skin tone requirements. The filtered target processing light is then emitted from the light-emitting port on the surface of the housing, acting on the skin surface. The light-emitting port can be made of sapphire or quartz crystal material, combining optical window and contact cooling functions to ensure uniform light delivery to the skin while providing thermal protection to the epidermis, forming a complete automated chain from energy generation and wavelength selection to skin action.

[0124] Reference Figure 10 , Figure 10 This illustration shows the hardware structure of an electronic device according to another embodiment. The electronic device may include: The processor 1001 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application. The memory 1002 can be implemented as a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 1002 can store the operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 1002 and is called and executed by the processor 1001 using the skin light processing method of the embodiments of this application. Input / output interface 1003 is used to implement information input and output; The communication interface 1004 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.). Bus 1005 transmits information between various components of the device (e.g., processor 1001, memory 1002, input / output interface 1003, and communication interface 1004); The processor 1001, memory 1002, input / output interface 1003 and communication interface 1004 are connected to each other within the device via bus 1005.

[0125] This application also provides a computer program product, which includes a computer program. A processor of a computer device reads and executes the computer program, causing the computer device to perform the skin light processing method described above.

[0126] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in this disclosure and the foregoing drawings are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented, for example, in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “including,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatuses.

[0127] It should be understood that in this disclosure, "at least one item" means one or more, and "more than one" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0128] It should be understood that in the description of the embodiments of this application, "multiple" means two or more, "greater than", "less than", "exceeding" etc. are understood to exclude the number itself, and "above", "below", "within" etc. are understood to include the number itself.

[0129] In the several embodiments provided in this disclosure, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.

[0130] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0131] Furthermore, the functional units in the various embodiments of this disclosure can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0132] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this disclosure, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this disclosure. The aforementioned storage medium may include: a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and other media capable of storing program code.

[0133] It should also be understood that the various implementation methods provided in this application can be combined arbitrarily to achieve different technical effects.

[0134] The above is a detailed description of the embodiments of this disclosure. However, this disclosure is not limited to the above embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of this disclosure. All such equivalent modifications or substitutions are included within the scope defined by the claims of this disclosure.

Claims

1. A skin light treatment device, characterized in that, include: A housing, the housing internally housing a skin color detection module, a light emitting component and a light filtering component, and the housing surface having a light emitting port; The skin color detection module is used to detect the skin color of the target skin in order to determine the target skin color type. The light-emitting component is used to generate the initial processed light; The filtering assembly is configured with a power unit, a transmission mechanism, and at least two alternative filters, wherein at least one of the alternative filters can be driven by the power unit in conjunction with the transmission mechanism; wherein the filtering assembly is used to determine at least one target filter from the alternative filters according to the target skin color type, and to place at least one target filter between the light-emitting assembly and the light-emitting port through the power unit in conjunction with the transmission mechanism, so as to filter the original processed light into target processed light; wherein the target processed light is emitted from the light-emitting port.

2. A method for phototherapy of the skin, characterized in that, The method applied to the skin light processing device of claim 1, the skin light processing device comprising a housing, a skin color detection module, a light emitting component, and a light filtering component, comprises: The skin color detection module is used to detect the skin color of the target skin in order to determine the target skin color type. Based on the target skin color type, at least one target filter is determined from each of the candidate filters; The power unit of the control filter assembly performs a drive operation, which, in conjunction with the transmission mechanism of the filter assembly, causes at least one of the target filters to be placed between the light-emitting assembly and the light-emitting port; The light-emitting component is controlled to generate primary processed light, and the primary processed light is filtered into target processed light through the target filter; wherein the target processed light is emitted from the light-emitting port of the housing.

3. The method according to claim 2, characterized in that, One of the alternative filters of the filter assembly is fixed between the light-emitting assembly and the light-emitting port, and the remaining alternative filters of the filter assembly are connected to the transmission mechanism. The step of determining at least one target filter from the candidate filters based on the target skin color type includes: If the target skin color type meets the preset first filtering conditions, the alternative filter fixed between the light-emitting component and the light-emitting port will be determined as the target filter. If the target skin color type meets the preset second filtering conditions, the alternative filter fixed between the light-emitting component and the light-emitting port, and the alternative filter connected to the transmission mechanism, are jointly determined as the target filter.

4. The method according to claim 3, characterized in that, The target filter fixed between the light-emitting component and the light-emitting port is a first target filter, and the target filter connected to the transmission mechanism is a second target filter. The power unit controlling the filter component performs a drive operation, cooperating with the transmission mechanism of the filter component to place at least one target filter between the light-emitting component and the light-emitting port, including: If the target skin color type meets the preset first filtering conditions, the power unit of the filter component is controlled to perform a driving operation to move the second target filter away from the light emitting component and the light emitting port; wherein, the first target filter is used to filter the original processed light into the target processed light; If the target skin color type meets the preset second filtering conditions, the power unit of the filter component is controlled to perform a driving operation to move the second target filter between the light emitting component and the light emitting port; wherein, the first target filter and the second target filter are used together to filter the original processing light into the target processing light.

5. The method according to claim 2, characterized in that, Before determining at least one target filter from the candidate filters based on the target skin color type, the method further includes: Obtain skin color light absorption reference data; wherein, the skin color light absorption reference data is used to reflect the correspondence between different skin color depths and different absorption wavelengths; Based on the skin color light absorption reference data, at least two candidate filters are determined, which are used to filter out light shorter than the specified absorption wavelength; wherein different candidate filters correspond to different specified absorption wavelengths.

6. The method according to claim 3, characterized in that, The step of determining at least one target filter from the candidate filters based on the target skin color type includes: Based on the target skin color type, an adaptive wavelength analysis is performed to obtain the target absorption wavelength; Based on the target absorption wavelength, the target filter is selected from at least two candidate filters.

7. The method according to claim 2, characterized in that, The skin color detection module is equipped with a supplementary lighting unit, a reflected light sensing unit, and a skin analysis unit. The step of performing skin color detection on the target skin using the skin color detection module to determine the target skin color type includes: The supplementary lighting unit is controlled to release incident light rays toward the target skin; The reflected light sensor unit collects the reflected light corresponding to the incident light. The skin analysis unit is used to perform skin appearance analysis on the detected reflected light to determine the target skin color type.

8. The method according to claim 7, characterized in that, The step of using the skin analysis unit to perform skin appearance analysis on the detected reflected light to determine the target skin color type includes: Imaging processing is performed based on the detected reflected light to obtain a skin fitting image; The skin fitting image is purified to extract skin color correlation information; The skin color association information is input into a preset skin color evaluation model to extract skin color features and obtain the corresponding skin color depth feature value. Based on the skin color depth feature value, the target skin color type is determined from the preset skin color classification benchmark.

9. The method according to claim 8, characterized in that, The purification process for the skin-fitted image, extracting skin color correlation information, includes: The skin fitting image is processed to grayscale to highlight the apparent texture features of the skin fitting image, resulting in a skin apparent grayscale image; The apparent grayscale image of the skin is subjected to contrast enhancement processing to obtain an apparent grayscale enhanced image; Perform binarization on the apparent grayscale enhanced image to generate a skin color interference mask; Based on the skin color interference factor mask, the skin fitting image is restored to its original appearance to obtain the original skin appearance fitting image; The skin color correlation information is extracted from the original skin appearance fitting map.

10. The method according to claim 8, characterized in that, The purification process for the skin-fitted image, extracting skin color correlation information, includes: Extract the brightness and color representation parameters corresponding to each primitive pixel in the skin fitting image; Based on the brightness representation parameter and the color representation parameter, clustering is performed on each primitive pixel to obtain multiple clustered color clusters; Skin color clusters and interfering factor color clusters are identified from the multiple clustered color clusters; Edge detection calculation is performed on the skin fitting image based on the skin color cluster and the interference factor color cluster to determine the original skin region in the skin fitting image; Extract the skin color association information from the original skin region.

11. The method according to claim 10, characterized in that, The method of performing edge detection calculation on the skin fitting image based on the skin color cluster and the interference factor color cluster further includes: Edge detection calculation is performed on the skin fitting image based on the skin color cluster and the interference factor color cluster to determine the original skin region and the apparent abnormal region in the skin fitting image. After performing edge detection calculation on the skin fitting image based on the skin color cluster and the interference factor color cluster to determine the original skin region and the apparent abnormal region in the skin fitting image, the method further includes: Apparent anomaly analysis is performed based on the brightness characterization parameter and the color characterization parameter corresponding to the apparent anomaly region to determine the type of apparent anomaly of the target skin. In response to the apparent anomaly type belonging to a preset light processing taboo type, an alarm intervention operation is performed.

12. An electronic device, characterized in that, include: A memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the skin light treatment method as described in any one of claims 2 to 11.

13. A computer-readable storage medium, characterized in that, The storage medium stores a program that is executed by a processor to implement the skin light treatment method as described in any one of claims 2 to 11.

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