IPL energy parameter adjustment method of multi-user data and related device

Abstract

The invention relates to the technical field of intense pulsed light (IPL) unhairing, in particular to an IPL energy parameter adjusting method of multi-user data and a related device. The adjusting method comprises the following steps: synchronously activating the multi-layer sensing system when the treatment head is in contact with the skin; and identifying a hair distribution mode and a skin state based on real-time feedback data of the multi-layer sensing system. According to the IPL energy parameter adjusting method of the multi-user data, a three-dimensional dynamic mapping system of skin microstructure, hair distribution and hair follicle response is constructed through millisecond-level activation of a contact type multi-layer sensing system. Specifically, the physical action that the treatment head makes contact with the skin directly triggers multi-mode perception of optical, thermodynamic and mechanical deformation, user biological key matching and hair gridding modeling are synchronously completed, and the problem of time sequence splitting of parameter loading and biological detection in a traditional scheme is solved.

Description

Technical Field

[0001] This invention relates to the field of intense pulsed light (IPL) hair removal technology, specifically to a method and device for adjusting IPL energy parameters using multi-user data. Background Technology

[0002] Existing hair removal devices require manual parameter adjustment when switching users. The parameter adaptation of multi-user devices has long been constrained by the inherent defects of static preset schemes. Most hair removal devices rely on loading historical data to differentiate users, but their parameter switching mechanism is seriously out of sync with real-time biological response: on the one hand, users need to manually select files when switching, which interrupts the operation and disrupts the continuity of treatment; on the other hand, preset parameters cannot dynamically respond to spatial changes in hair and instantaneous skin reactions during treatment. Especially when faced with complex conditions such as curly hair lying flat and delayed hair follicle contraction, existing systems still use fixed pulse sequence output, which leads to energy overload causing epidermal damage or insufficient energy affecting the efficacy.

[0003] Furthermore, current technologies rely on empirical time thresholds to determine the endpoint of hair follicle destruction, lacking the ability to track the real-time evolution of hair papilla morphology, resulting in treatment blind spots or excessive heat accumulation. The essence of this systemic deficiency lies in the failure to establish a complete biological response from the moment of skin contact to the termination of treatment. Therefore, this invention aims to solve the problem of: how to achieve dynamic bio-adaptation throughout the entire process from skin contact to treatment termination in multi-user scenarios, avoiding manual intervention while ensuring that energy parameters respond in real-time to the evolution of hair spatial distribution and changes in hair follicle morphology. Summary of the Invention

[0004] This disclosure proposes a method and related apparatus for adjusting IPL energy parameters for multi-user data, aiming to overcome at least one of the defects existing in the prior art.

[0005] To achieve the above objectives, the technical solution disclosed in this invention is as follows: According to one aspect of this disclosure, a method for adjusting IPL energy parameters for multi-user data is provided, comprising the steps of: The multi-layer sensor system is activated simultaneously when the treatment head contacts the skin; Based on the real-time feedback data of the multi-layer sensing system, hair distribution patterns and skin condition are identified. The system calls the pre-stored target user baseline parameter set and dynamically generates an energy mapping scheme based on the current hair distribution pattern. During pulse output, the pulse sequence is adjusted in real time according to the hair follicle contraction response, and the energy output is terminated when the target hair follicle is detected to have reached the preset morphological change threshold.

[0006] Furthermore, the multilayer sensing system includes: An optical sensing layer is used to capture the microstructure of the skin surface; A heat distribution sensing layer is used to monitor changes in the skin temperature gradient. The mechanical response layer is used to detect the deformation state of hair under pressure.

[0007] Furthermore, the hair distribution pattern recognition step includes: The treatment area is divided into multiple sub-grid units; Within each sub-grid cell, active grids containing hair follicles and silent grids without hair follicles are marked; Pulse path planning is generated based on the spatial distribution of the active grid.

[0008] Furthermore, the dynamically generated energy mapping includes: Apply high-energy pulses perpendicular to the hair direction; Low-energy isolation bands are arranged parallel to the hair direction; A cross pulse sequence is configured in areas with dense hair follicles.

[0009] Furthermore, the monitoring steps for the hair follicle contraction response include: Tracking the displacement of the dermal papilla structure using a microscopic imaging device; When the displacement reaches a set proportion of the initial position, the energy reduction mode is activated; Energy is immediately cut off when follicular sheath shrinkage is detected.

[0010] Furthermore, the management of multi-user data includes the following steps: Create a biometric fingerprint key for each user; When the treatment head contacts the skin, it automatically matches the biometric fingerprint key and loads a unique parameter set; When adding a new user, scan the finger vein to generate a new key.

[0011] Furthermore, it also includes: Detect the state of hair lying flat before energy output; When there are fallen hairs, activate the airflow guide device to make the hair stand up; The energy intensity is compensated based on the angle of the hair after it is upright.

[0012] Furthermore, it also includes a security intervention mechanism, which includes: Real-time comparison of the current skin reaction with pre-stored safe template images; When an abnormal erythema diffusion pattern is detected, a cooling pulse is inserted and the spot area is reduced; The system will be forcibly shut down when blistering or scabbing of the skin is detected.

[0013] Furthermore, the update steps for the reference parameter set include: Data on the depth of hair follicle destruction was collected after each treatment. If the target depth of destruction is achieved after three consecutive treatments, then this set of parameters is marked as the gold standard. When the change in ambient temperature and humidity exceeds the threshold, the adaptive calibration of the gold parameter is initiated.

[0014] According to another aspect of this disclosure, a multi-user data IPL energy parameter adjustment system is provided for implementing the multi-user data IPL energy parameter adjustment method as described above, comprising: Contact-type dual-film sensing layer, integrating optical micro array and temperature sensing grid; The hair dynamic modeling module is used to reconstruct the three-dimensional spatial distribution of hair. An energy map generator is used to generate a pulse spatial arrangement scheme based on hair distribution. The hair follicle response tracking unit includes a high-speed imaging lens and an image analysis engine; The biometric key management module is used to store and match user biometric fingerprints; A safety policy executor used to compare skin reactions with safety template images.

[0015] According to another aspect of this disclosure, a hair removal device is provided, integrating an IPL energy parameter adjustment system with multi-user data as described above, and further comprising: A deformable treatment head containing an independently adjustable microlens array; An airflow guide device, with an annular air hole surrounding the treatment head, performs air jet and inhalation actions to straighten fallen hair; Multispectral illumination module, emitting detection light sources in different wavelengths; Finger vein scanning window, a biometric sensor embedded in the handle grip area, is used to scan finger veins to generate a new key.

[0016] According to another aspect of this disclosure, a computer-readable storage medium is provided storing executable instructions that, when executed on a hair removal device processor, implement the IPL energy parameter adjustment method for multi-user data as described above.

[0017] The beneficial effects of this invention are: The IPL energy parameter adjustment method for multi-user data in this invention constructs a three-dimensional dynamic mapping system for skin microstructure, hair distribution, and hair follicle response through millisecond-level activation of a contact-type multilayer sensing system. Specifically, the physical action of the treatment head contacting the skin directly triggers multimodal sensing of optical, thermodynamic, and mechanical deformation, simultaneously completing user biometric key matching and hair mesh modeling, thus overcoming the temporal disconnect between parameter loading and biometric detection in traditional solutions.

[0018] Furthermore, pulse path planning based on active grid generation enables energy to be precisely focused on the high-efficiency action zone perpendicular to the hair direction, and the thermal diffusion effect in dense hair follicle areas is suppressed by cross-pulse sequences, such as... Figure 5 As shown, this approach increases the hair follicle destruction rate by 19.3% and reduces the risk of epidermal thermal damage by 37% compared to conventional uniform irradiation methods.

[0019] Furthermore, the real-time tracking of hair papilla displacement by the microscopic imaging device forms the basis for energy output control. Specifically, when the displacement reaches a morphological change threshold, it automatically switches to an energy reduction mode. The recognition accuracy of hair follicle sheath shrinkage features reaches the micrometer level, realizing a paradigm shift from empirically timed treatment to biosignal-driven treatment. The airflow guidance device, linked to energy compensation for the angle of the fallen hair, more thoroughly solves the industry problem of insufficient energy absorption at the root of curly hair, improving the consistency of treatment for different hair morphologies.

[0020] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, the preferred embodiments of the present invention are described in detail below with reference to the accompanying drawings. Attached Figure Description

[0021] Figure 1 This is a flowchart of a method for adjusting IPL energy parameters for multi-user data in one embodiment of the present invention; Figure 2 This is a schematic diagram of a three-dimensional mesh model of hair distribution in one embodiment of the present invention; Figure 3 This is a schematic diagram of an IPL energy mapping scheme in one embodiment of the present invention; Figure 4 This is a schematic diagram of the real-time response curve of hair papilla displacement in the thermal damage response analysis of hair follicles in one embodiment of the present invention; Figure 5 This is a schematic diagram comparing the hair follicle destruction rate and the risk of epidermal thermal damage in one embodiment of the present invention. Detailed Implementation

[0022] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments.

[0023] The term "comprising" and any variations thereof in this application are intended to cover non-exclusive inclusion, for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product, or device.

[0024] In embodiments of the present invention, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" or "for example" in embodiments of the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Rather, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0025] The present invention provides the following preferred embodiments: Example 1: To address the problem of insufficient selective thermal damage control caused by static energy parameters in existing IPL treatments, this example provides a multi-user data-based IPL energy parameter adjustment method. Specifically, at the instant the treatment head contacts the skin surface, a multi-layer sensing system built into the base of the treatment head is simultaneously activated. This system integrates an impedance measurement unit and a multispectral imaging module, capturing bioimpedance gradient and hemoglobin distribution data from the dermis to the dermal papilla layer at a sampling frequency of 200 frames per second. Figure 1 As shown, the adjustment process is as follows: S100: Simultaneously activates the multi-layer sensing system when the treatment head contacts the skin.

[0026] S200: Based on real-time feedback data from a multi-layer sensor system, it identifies hair distribution patterns and skin condition.

[0027] S300: Call the pre-stored target user baseline parameter set and dynamically generate an energy mapping scheme in combination with the current hair distribution pattern.

[0028] S400: During pulse output, the pulse sequence is adjusted in real time according to the hair follicle contraction response, and the energy output is terminated when the target hair follicle is detected to have reached the preset morphological change threshold.

[0029] Furthermore, a three-dimensional tissue model is constructed based on the aforementioned real-time feedback data: such as Figure 2 As shown, the treatment area is discretized into a 10mm×10mm×5mm spatial grid array, and the spatial coordinates and hair direction of active hair follicles are identified using a convolutional neural network. The hair follicle distribution pattern is simulated using a random distribution algorithm, and the three-dimensional morphology of the hair at each grid point is dynamically generated by a parameterized function, forming a hair follicle topology map including curl and growth depth. Skin condition is quantitatively graded by analyzing the microvascular density of the dermal papillae and the epidermal absorbance coefficient.

[0030] Furthermore, when invoking the pre-stored target user baseline parameter set, the system performs feature matching between the current hair distribution pattern and the historical database. For example... Figure 3As shown, an asymmetric energy mapping is generated by combining the hair direction vector field: peak energy is distributed in the direction perpendicular to the hair shaft (Y-axis), and a low-energy isolation band is set in the parallel direction (X-axis); cross pulse sequences are implemented for dense hair follicle areas so that the energy distribution is positively correlated with the spatial density of hair follicles.

[0031] Furthermore, during the pulse output phase, the energy sequence is controlled by real-time tracking of the hair papilla displacement. For example... Figure 4 As shown, when the micro-displacement sensor detects that the normalized displacement is approaching the 0.65 threshold, two actions are triggered: first, the pulse decrement mechanism is activated, as follows... Figure 4 At the 2.1ms mark, the single-pulse energy is adjusted downwards according to the exponential decay curve; secondly, when the displacement continuously exceeds the threshold, the energy output at the current coordinate point is immediately terminated. This process is implemented through a feedback system, and the energy interruption command for each treatment grid point is executed independently.

[0032] The advantage of this embodiment is that by coupling multi-layer sensor data with 3D modeling in real time, the morphological response of hair follicle destruction is transformed into the decision boundary of energy control. This improves the efficiency of selective damage to hair follicles while avoiding the risk of epidermal heat accumulation caused by energy oversaturation in traditional solutions.

[0033] Example 2: To address the issue of insufficient multidimensional biosignal acquisition in existing IPL treatments, which limits energy adaptation accuracy, this example refines a multilayer sensing system. This multilayer sensing system comprises a three-tiered, interconnected biosignal capture network consisting of an optical sensing layer, a thermal distribution sensing layer, and a mechanical response layer. The optical sensing layer integrates a narrowband multispectral imaging unit, which illuminates the skin surface with a tunable light source in the 500-950nm wavelength range, simultaneously acquiring epidermal microstructure reflectance maps. These maps are then processed using Fourier transform to extract the stratum corneum wrinkle index and pore distribution characteristics, providing sub-millimeter-level spatial references for hair follicle localization.

[0034] Furthermore, the heat distribution sensing layer employs a 32×32 thermopile array manufactured using microelectromechanical systems (MEMS), which generates an epidermal temperature gradient field at a sampling rate of 50 frames per second. It's important to understand that this layer establishes a baseline temperature model before pulse emission and monitors the local ΔT / Δt change rate in real time as the treatment head moves, paying particular attention to abnormal heat conduction signals within a 0.5mm radius around the hair follicle. These abnormal signals are strongly correlated with abnormal epidermal melanin deposition, providing a physical basis for setting the upper energy threshold.

[0035] Furthermore, a mechanical response layer is deployed on the substrate of the treatment head contact surface, consisting of a honeycomb detection network of piezoresistive thin-film sensors. This layer infers the anchoring strength of the hair follicle within the dermis by measuring the stress relaxation curve during hair compression deformation. Understandably, when the hair bending angle exceeds 8°, an elastic limit warning is triggered, indicating that the hair papilla is in a mechanically vulnerable state, requiring a corresponding reduction in the peak pulse energy. The three layers of sensor data are synchronized at the millisecond level via a timestamp synchronization module, ensuring the spatiotemporal coupling of biomechanical response and thermal conductivity characteristics.

[0036] The advantage of this embodiment is that the hair deformation state captured by the mechanical response layer and the preheating data of the heat distribution sensing layer form cross-validation, identifying high-risk areas of epidermal heat accumulation before pulse emission, and providing a priori decision basis for setting up isolation zones in subsequent energy mapping.

[0037] Example 3: To overcome the energy coverage bias caused by spatial positioning ambiguity in traditional hair follicle recognition, this example refines a hair distribution pattern recognition method based on mesh topology analysis. The treatment area is first divided into a 10mm × 10mm × 5mm three-dimensional mesh array, where the XY plane mesh spacing is 2mm, and the Z-axis depth direction is discretized with a layer interval of 1mm, forming 5000 cubic sub-units. For example... Figure 2 As shown, each sub-unit is marked with an active state using dual-frequency impedance detection technology. When the unit impedance value is less than 200Ω, it is determined to be an active grid containing hair follicles, and when it is higher than 350Ω, it is classified as a silent grid without hair follicles.

[0038] Furthermore, the spatial topology analysis of the active grid includes a three-stage process: first, a hair follicle density heatmap is generated, and the number of hair follicles per unit volume is calculated using a 5×5 subgrid as a window; second, a hair direction vector field is constructed, and the direction cosine of the hair shaft in three-dimensional space is identified through Hough transform; finally, a pulse path planning tree diagram is established, generating a minimum spanning tree with the peak point of hair follicle density as the root node. It is important to understand that this planning employs a bidirectional scanning strategy, progressing along a serpentine path in sparse hair follicle areas and converting to a spiral progressive path in dense areas.

[0039] Understandably, the silent grid automatically triggers a safety shielding mechanism during the energy mapping phase. For example... Figure 2 As shown, the silent grid coordinates are imported into the pulse control blacklist, and the energy output circuit is automatically cut off when the treatment head moves to these coordinates. Meanwhile, the depth coordinate Z-value of the active grid directly determines the pulse duration; deeper hair follicle units correspond to longer thermal relaxation time windows.

[0040] The advantage of this embodiment is that by transforming hair distribution into a discrete spatial topology problem through three-dimensional mesh modeling, the pulse path planning can avoid ineffective tissue areas while accurately locking the geometric center of the hair follicle cluster, thereby reducing the energy consumption of the treatment head during empty movement.

[0041] Example 4: To address the energy distribution mismatch problem caused by the spatial heterogeneity of hair follicles, this example refines a direction-sensitive energy mapping mechanism. In the setting of high-energy pulse bands perpendicular to the hair direction, the system first calculates the unit vector of the hair shaft axis, and generates a normal plane projected coordinate system accordingly. For example... Figure 3 As shown, a 2mm wide strip of energy is deployed along the plane of the hair shaft. Its intensity distribution conforms to a Gaussian attenuation model, with the intensity reaching a peak of 100% at the center line and attenuating to 65% at the edges. This design ensures that light energy penetrates radially along the hair shaft to the hair papilla layer while avoiding energy flux dispersion.

[0042] Furthermore, the low-energy isolation band parallel to the hair direction adopts a fractal boundary design, and its width dynamically adapts to the spacing between hair follicles. When the distance between adjacent hair follicles is less than 1.5mm, the isolation band expands to 120% of the gap area, forming a heat diffusion buffer; when the spacing is greater than 3mm, it is compressed to 80% to prevent insufficient energy coverage. Understandably, the energy intensity of the isolation band is strictly controlled below 30% of the peak intensity, and precise energy flow cutoff is achieved through pulse width modulation technology.

[0043] In areas with dense hair follicles, the cross-pulse sequence employs spatiotemporal diversity technology: such as... Figure 3 As shown, two sets of pulse beams with a 180° phase difference are deployed within a 4mm × 4mm core area. Each beam contains three sub-pulses with progressively decreasing pulse widths. The first pulse opens the keratinocyte channel in the hair follicle, the second pulse enhances the heat absorption efficiency of melanin, and the final pulse prolongs the duration of heat conduction. It is important to understand that the time interval between the three pulses is strictly matched to the thermal relaxation constant of the target tissue to avoid the superposition of thermal effects.

[0044] The advantage of this embodiment is that the phase difference design of the cross pulse sequence forms a dynamic interference field in the dense hair follicle area, which enables thermal energy deposition to break through the diffusion limit of traditional single pulse, while the fractal boundary of the low-energy isolation zone effectively blocks the migration of thermal energy to the superficial epidermis.

[0045] Example 5: To address the insufficient accuracy of dynamic monitoring of hair follicle thermal damage, this example refines a hair follicle contraction response monitoring mechanism based on microscopic imaging. For example... Figure 4 As shown, the three-dimensional displacement of the dermal papilla is captured in real time by a confocal microscopy unit integrated inside the treatment head. This unit uses an 830nm near-infrared light source to acquire the follicular sheath structure at a resolution of 0.5μm. During the pulsed application, the system generates a dermal papilla displacement time-series curve at a rate of 2000 frames per second, and calculates its normalized displacement relative to the initial position using the Horn-Shanke algorithm.

[0046] Furthermore, the trigger condition for the energy reduction mode is set to the displacement reaching 60% of the initial position. It's important to understand that this threshold setting is based on clinical observation data of the hair follicle's elastic limit; it occurs when the slope of the displacement curve first exceeds the preset acceleration tolerance. Figure 3 At the boundary of the green area, the system automatically reduces the pulse energy gradient by 30% while switching the pulse frequency to 50% of its original value. This dual adjustment strategy ensures that the heat penetration rate matches the hair follicle contraction dynamics, avoiding irreversible damage caused by heat accumulation.

[0047] Furthermore, when the microscopic image analysis module detects radial shrinkage of the hair follicle sheath, it immediately activates the energy cutoff protocol. Understandably, this feature manifests as a sharp decrease in the sheath edge curvature radius of more than 35%, which continues to worsen across three consecutive frames. At this point, the optical relay cuts off the xenon lamp path within 0.8 milliseconds, and the temperature drop curve is verified to conform to the expected decay model via a thermopile array.

[0048] The advantage of this embodiment is that it cross-validates the morphological characteristics of hair follicle sheath shrinkage with displacement dynamic parameters, constructs a thermal damage early warning mechanism at the sub-millimeter scale, and enables the timing of energy interruption to precisely match the critical point of phase transition in biological tissues.

[0049] Example 6: To address the issue of low efficiency in adapting treatment parameters to multiple users, this example optimizes the parameter management architecture driven by biometric keys. Upon the user's first operation, the system collects the thumbprint pattern using a capacitive fingerprint sensor built into the treatment handle. Wavelet transform is then used to extract the bifurcation points and endpoints of the ridges, generating a 256-bit hash value as the master key. This key is then compared with the user's three-dimensional hair follicle distribution map, as shown below. Figure 2 The gridded model, skin color optical properties, and historical treatment data shown are bound and stored in an encrypted secure area.

[0050] Furthermore, the moment the treatment head contacts the skin, its pressure sensor array simultaneously triggers the fingerprint verification process. It's important to understand that the contact sensing module detects changes in the skin's dielectric constant every 5ms; when the capacitance value reaches a threshold characteristic of human tissue, fingerprint scanning is activated. After successful key verification, the system automatically loads the user's hair follicle depth distribution parameters, which are derived from... Figure 2 Z-axis grid data, preset energy upper limit and hair angle compensation coefficient.

[0051] Furthermore, finger vein scanning replaces traditional biometrics during new user registration. A topological map of the veins is obtained by penetrating the finger using 850nm near-infrared light, and the fractal dimension of the blood vessels is extracted through morphological erosion processing as a secondary key. This mechanism leverages the non-replicable nature of internal human biometric features to form a dual biometric encryption system with the surface fingerprint key.

[0052] The advantage of this embodiment is that it dynamically associates hair follicle spatial distribution data with biological keys, ensuring the secure access to treatment parameter sets while avoiding the risk of cross-contamination in multi-user operations.

[0053] Example 7: To overcome the problem of decreased energy absorption caused by flattened hair, this example designs a hair uprighting system based on fluid dynamics. When the treatment head moves to the target area, the angle between the hair and the epidermis is first detected by polarized light scanning. When the Z-axis projection angle is less than 25°, it is determined to be in a flattened state. Figure 2 In the 3D hair model shown, the system automatically marks the grid coordinates of the fallen hairs and calculates their spatial orientation.

[0054] Furthermore, an annular airflow guiding device surrounding the treatment window is activated, containing multiple piezoelectric ceramic nozzles forming a vortex-generating array. Based on hair follicle direction data, three adjacent nozzles are selected to spray high-speed nitrogen gas, creating a dynamic pressure field of 0.5 MPa at a distance of 3 mm from the epidermis. It is important to understand that the duration of this pressure field is strictly controlled within 50 ms, allowing the hair to stand upright at an effective angle of over 60° without damaging the hair follicle structure.

[0055] Furthermore, after the hair stands upright, the energy compensation module dynamically adjusts the pulse parameters based on the angle change. It can be understood that the compensation coefficient K is calculated using the formula K=1+Δθ / 90, where Δθ is the angle difference before and after standing. This coefficient acts on... Figure 3 The Gaussian distribution parameters in the energy mapping scheme shown enable the vertical energy band intensity to be increased proportionally while keeping the safety threshold of the isolation zone unchanged.

[0056] The advantage of this embodiment is that by precisely controlling the spatial posture of hair through a transient fluid field, the light energy reflection loss caused by hair adhering to the epidermis is eliminated, thereby improving the conversion efficiency of melanin in the hair follicle to photothermal energy.

[0057] Example 8: To address the accuracy issue of dynamic monitoring of epidermal thermal damage risk during treatment, this example refines the implementation process of the safety intervention mechanism. For example... Figure 4 As shown, the safety intervention mechanism continuously acquires skin microcirculation data using a high-speed imaging lens. An image analysis engine then performs pixel-level comparisons between real-time blood flow distribution images and pre-stored safety templates. It's important to understand that the safety templates encompass a feature library of normal erythema diffusion patterns for different skin tones and locations, including microvascular dilation rate thresholds and erythema color change gradient standards. When the diffusion rate of an erythema area exceeds a preset threshold within 0.5 seconds, or when discontinuous patchy color changes occur, it is determined to be an abnormal diffusion pattern. At this point, the energy map generator immediately inserts cooling pulses at 100-millisecond intervals, while simultaneously controlling the microlens array to reduce the spot diameter to 40% of its original area, thereby reducing the energy density per unit area.

[0058] Furthermore, the hair follicle response tracking unit simultaneously initiates a high-resolution epidermal scan. When the image analysis engine identifies a translucent cystic structure with a diameter greater than 200 micrometers in the stratum corneum, or irregular crystalline reflective features in the dermis, the safety strategy executor triggers a level three alarm and cuts off the IPL energy output. Understandably, this judgment process incorporates absorbance analysis in the 540nm band of the multispectral illumination module, improving accuracy by detecting absorbance abrupt changes caused by tissue fluid exudation. The benefit of this embodiment lies in establishing a graded intervention logic, ensuring the efficiency of hair follicle destruction while controlling the risk of epidermal thermal damage within the tolerance threshold of biological tissue.

[0059] Example 9: Addressing the issue of treatment parameter drift caused by environmental factors, this example details the optimization mechanism of the baseline parameter set. Specifically, after each treatment, a heat dissipation curve at a subcutaneous depth of 1.5 mm is collected using a temperature-sensing grid of a contact-type dual-membrane sensing layer. This curve is then combined with hair follicle destruction depth data to reconstruct a three-dimensional thermal damage model. If the hair follicle destruction rate within the target depth range meets the agreed-upon standard in three consecutive treatments, this parameter set is designated as the golden parameter set. It is important to understand that the golden parameter set includes a combination of pulse width, energy density, and spot overlap rate, which is correlated with the current season's environmental baseline temperature and humidity data.

[0060] Furthermore, when the environmental sensor detects a change in treatment ambient temperature exceeding ±3℃ or a change in relative humidity exceeding ±15%, an adaptive calibration procedure is initiated. This calibration employs a gradient compensation algorithm: first, it calculates the influence coefficient of temperature and humidity drift on the skin's heat absorption efficiency based on the heat conduction equation; then, as... Figure 2 The diagram illustrates the spatial density distribution of hair follicles in a 3D mesh model based on hair distribution, dynamically adjusting the energy mapping weights for different mesh regions. The advantage of this embodiment lies in maintaining the stability of the optimal treatment parameters in a dynamic environment through coupled analysis of environmental parameters and historical treatment data.

[0061] Example 10: To achieve precise response to individualized hair characteristics, this example provides an IPL energy parameter adjustment system for multi-user data. Specifically, it includes: a contact-type dual-film sensing layer employing a micrometer-scale transparent electrode array; an upper optical microarray achieving 50μm resolution for hair follicle localization; and a lower temperature-sensing grid monitoring the epidermal temperature field with 0.1℃ accuracy. A hair dynamic modeling module transforms the collected data into a 10×10×5 three-dimensional mesh model, where active meshes are marked with hair follicle locations using a random distribution algorithm, and hair vectors with curl parameters are generated.

[0062] Furthermore, the energy map generator calculates the optimal pulse arrangement based on the hair vector direction, such as... Figure 3As shown, high-intensity pulse bands are deployed perpendicular to the hair growth direction, while low-energy isolation bands are set in the parallel direction. The hair follicle response tracking unit captures the displacement of the hair papilla through a 2000fps high-speed lens, and its image analysis engine is constructed as follows. Figure 4 The real-time response curve shown triggers intervention when the displacement reaches a safety threshold. The biometric key management module binds and stores the user's finger vein features with a hair distribution model to ensure personalized treatment parameter calls. The safety policy executor performs dynamic energy regulation by comparing the texture feature differences between the real-time epidermal image and the safety template, establishing a control system from biometric recognition to energy feedback.

[0063] Example 11: To improve adaptability to complex hair morphologies, this example provides a hair removal device with an IPL energy parameter adjustment system integrating multi-user data. The deformable treatment head incorporates multiple independently controlled microlens units, each adjustable by ±15 degrees to adapt the output light spot to irregular body contours. The annular air vents surrounding the treatment head contain multiple vortex generators; before treatment, directional airflow straightens fallen hairs, such as... Figure 2 The generated hair vector direction is shown. The multispectral illumination module emits three-band probe light at 385nm, 540nm, and 940nm, which are used for melanin localization, vascular imaging, and dermal penetration analysis, respectively.

[0064] Furthermore, a near-infrared finger vein scanning window is embedded in the handle's grip area. This window uses an 850nm wavelength light source to capture subcutaneous vein patterns at a depth of 3mm, and the generated biometric key is doubly encrypted and stored along with a hair distribution model. It's important to understand that when an unregistered user is detected gripping the handle, the system automatically disables the power output function. The advantage of this embodiment lies in achieving a deep adaptation to individual anatomical characteristics through the multi-dimensional integration of mechanical structure, optical components, and biometrics.

[0065] Example 12: This example provides a computer-readable storage medium storing executable instructions that, when run on the processor of a hair removal device, specifically implement the process of adjusting IPL energy parameters for multi-user data. The instruction set includes a hair distribution modeling algorithm, which, when executed, calls, such as... Figure 2 The meshing logic shown converts the coordinates of active hair follicles in a 10×10×5 3D mesh into a spatial matrix. The energy mapping algorithm then... Figure 3 The energy distribution function is used to calculate the enhancement coefficient in the vertical direction and the attenuation coefficient in the parallel direction.

[0066] Furthermore, security monitoring commands continuously compare real-time images with... Figure 4The safety template triggers a cooling pulse insertion protocol when the dermal papilla displacement enters the red warning zone. Parameter optimization instructions update the three-dimensional thermal damage model after each treatment, and when the golden parameter conditions are met, the mapping relationship between environmental parameters and treatment parameters is written into the biological keystore. The advantage of this embodiment is that it solidifies the logic of dynamic energy adjustment, safety intervention, and parameter calibration into repeatable machine instructions.

[0067] Although the present invention has been specifically described above with reference to preferred embodiments, it should be understood that the present invention is not limited to the embodiments described above. Various modifications and variations can be made by those skilled in the art without departing from the spirit of the present invention, and such modifications and variations should fall within the scope defined by the appended claims and their equivalents.

Claims

1. A method for IPL energy parameter adjustment of multi-user data, characterized by the steps of Comprising: Synchronizing activation of multi-layer sensing system when treatment head contacts skin; Identifying hair distribution pattern and skin state based on real-time feedback data of the multi-layer sensing system; Calling pre-stored target user reference parameter set to dynamically generate energy mapping scheme combined with current hair distribution pattern; Adjusting pulse sequence in real-time according to hair follicle shrinkage response during pulse output process, and terminating energy output when target hair follicle reaches preset morphological change threshold.

2. The method of IPL energy parameter adjustment for multi-user data of claim 1, wherein, The multi-layer sensing system comprises: Optical sensing layer for capturing skin surface microstructure; Thermal distribution sensing layer for monitoring epidermis temperature gradient change; Mechanical response layer for detecting hair compression deformation state.

3. The method of IPL energy parameter adjustment for multi-user data of claim 1, wherein, The identification step of the hair distribution pattern comprises: Dividing treatment area into multiple sub-grid units; Marking active grid containing hair follicle and silent grid without hair follicle in each sub-grid unit; Generating pulse path planning according to spatial distribution of the active grid.

4. The method for IPL energy parameter adjustment of multi-user data of claim 1, wherein, The dynamic energy mapping generation comprises: Applying high-energy pulse band in vertical hair direction; Arranging low-energy isolation band in parallel hair direction; Configuring cross-pulse sequence in hair follicle dense area.

5. The method for IPL energy parameter adjustment of multi-user data of claim 1, wherein, The monitoring step of the hair follicle shrinkage response comprises: Tracking hair papilla structure displacement through microscopic imaging device; Starting energy reduction mode when displacement amount reaches preset proportion of initial position; Immediately cutting off energy when hair follicle sheath membrane is detected to be shrunk.

6. The method for IPL energy parameter adjustment of multi-user data of claim 1, wherein, The management of multi-user data comprises the following steps: Creating biological feature fingerprint key for each user; Automatically matching the biological feature fingerprint key to load exclusive parameter set when treatment head contacts skin; Scanning finger vein to generate new key when new user is added.

7. The method for IPL energy parameter adjustment of multi-user data of claim 1, wherein, Further comprising: Detecting hair involution state before energy output; Starting air flow guiding device to make hair stand up when there is involution hair; Compensating energy intensity according to hair angle after standing up.

8. The method for IPL energy parameter adjustment of multi-user data of claim 1, wherein, Further comprising safety intervention mechanism, which comprises: Real-time comparison of current skin reaction and pre-stored safety template image; Inserting cooling pulse and reducing spot area when abnormal erythema diffusion pattern is detected; Forced shutdown when epidermis blister or scab feature is identified.

9. The method for IPL energy parameter adjustment of multi-user data of claim 1, wherein, The update step of the reference parameter set comprises: Collecting hair follicle damage depth data after each treatment; Marking the parameter set as golden parameter if target damage depth is reached for three consecutive treatments; Starting adaptive calibration of the golden parameter when environmental temperature and humidity change exceeds threshold.

10. A system for adjusting IPL energy parameters for multi-user data, for implementing the method for adjusting IPL energy parameters for multi-user data according to any one of claims 1-9, characterized in that, Comprising: Contact type double membrane sensing layer integrating optical microscopic array and temperature sensing grid; Hair dynamic modeling module for reconstructing three-dimensional spatial distribution of hair; Energy map generator for generating pulse spatial arrangement scheme according to hair distribution; Hair follicle response tracking unit containing high-speed imaging lens and image analysis engine; Biological key management module for storing and matching user biological feature fingerprint; Safety policy executor for comparing skin reaction and safety template image.

11. An epilator, characterized in that The IPL energy parameter adjustment system integrating multi-user data as claimed in claim 10 further comprises: Deformable treatment head containing independently adjustable microlens array; Air flow guiding device, annular air hole arranged around treatment head, performing air blowing and suction action for straightening involution hair; A multi-spectral illumination module emits different wavebands of probe light; A finger vein scanning window, a biometric reader embedded in the handle grip area, for scanning finger veins to generate a new key.

12. A computer-readable storage medium, characterized in that, Executable instructions are stored, which, when executed on a depilatory processor, implement a method of adjusting IPL energy parameters for multi-user data as claimed in any of claims 1-9.

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