An ultrasonic beauty instrument energy density self-adaptive adjustment method and system

Abstract

The present application relates to the field of ultrasonic beauty instrument adjustment, and particularly relates to an ultrasonic beauty instrument energy density self-adaptive adjustment method and system, which comprises the following steps: obtaining user face data detected by a beauty instrument; analyzing the face data and classifying the face data by regions; identifying state data of each region according to the region classification; obtaining working parameters required by the beauty instrument in each region based on the state data of each region; adjusting the beauty instrument according to the working parameters required by the beauty instrument in each region; receiving temperature data of each region of the face fed back by the beauty instrument in real time; calculating an adjustment value of each region by a temperature compensation algorithm based on the temperature data of each region of the face; and adjusting the working parameters of the beauty instrument based on the adjustment value. The method can ensure that the beauty instrument avoids over-treatment or insufficient treatment of some regions during treatment, and improves the overall satisfaction of the treatment effect. Meanwhile, the treatment is safer through personalized adjustment of the treatment parameters.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of ultrasonic beauty instrument adjustment, in particular to an ultrasonic beauty instrument energy density self-adaptive adjustment method and system. BACKGROUND

[0002] An ultrasonic beauty instrument is a device that uses ultrasonic technology for skin care. It generates ultrasonic vibrations with a frequency higher than the 20 kHz upper limit that the human ear can hear. This high-frequency vibration has unique physical properties, including good penetration and directionality, which can penetrate several centimeters below the skin surface without damaging the epidermis. It improves skin condition through the mechanical, thermal, and chemical effects of ultrasonic waves. Its mechanical effect is reflected in the ultrasonic vibration that can cause micro-massage of skin cells, promote blood circulation and lymph flow, enhance cell membrane permeability, and improve tissue metabolism.

[0003] In the prior art, existing beauty instruments often lack precise selectivity for different areas of the face, making it difficult to provide personalized treatment according to the specific conditions of each area (such as skin thickness, sensitivity, etc.). This may lead to over-treatment or under-treatment of certain areas, affecting the overall effect. Secondly, because the thermodynamic properties of different people's skin are different, the same treatment parameters may produce different effects on different people's skin. Because the prior art cannot accurately measure the thermodynamic properties of the skin, it is unable to make customized adjustments based on the characteristics of different people's skin.

[0004] Therefore, the prior art has defects and needs to be improved. SUMMARY

[0005] To solve one or more problems in the prior art, the main purpose of the present application is to provide an ultrasonic beauty instrument energy density self-adaptive adjustment method and system.

[0006] To achieve the above-mentioned purpose of the application, the present application provides an ultrasonic beauty instrument energy density self-adaptive adjustment method, which comprises:

[0007] Obtaining user facial data detected by a beauty instrument;

[0008] Analyzing the facial data and classifying the facial data by region;

[0009] According to the region classification, identifying the state data of each region;

[0010] Based on the state data of each region, obtaining the required working parameters of the beauty instrument for each region;

[0011] adjusting the cosmetic instrument according to the working parameters required by each region of the cosmetic instrument, wherein the working parameters are used to adjust the ultrasonic wave output parameters of the cosmetic instrument when passing through different regions;

[0012] receiving temperature data of each region of the face in real time through feedback of the cosmetic instrument;

[0013] calculating an adjustment value of each region through a temperature compensation algorithm based on the temperature data of each region of the face;

[0014] adjusting the working parameters of the cosmetic instrument based on the adjustment value.

[0015] Further, the state data of each region is identified according to the region classification, including:

[0016] obtaining three-dimensional point cloud data of the face of the user, and segmenting the three-dimensional point cloud data through point cloud segmentation to obtain a region classification, wherein the regions include a forehead region, a cheekbone region, and an eye region;

[0017] analyzing color parameters of each region, and determining whether pigmentation occurs in the corresponding region through the color parameters;

[0018] analyzing shape parameters of each region, and determining whether a protrusion or a depression occurs in the corresponding region through the shape parameters, wherein the protrusion, the depression, and the pigmentation are used in combination to adjust the working parameters of the cosmetic instrument;

[0019] determining the state data of each region according to the analysis results of the color parameters and the shape parameters.

[0020] Further, the analysis of the color parameters of each region and the determination of whether pigmentation occurs in the corresponding region through the color parameters include:

[0021] converting an image of each region in the face data into an HSV color space;

[0022] extracting an image block of each region in the HSV color space according to the region classification result;

[0023] segmenting each image block into a binary image, wherein the pigmented region is marked as white, and other regions are marked as black;

[0024] analyzing a difference value between the pigmented region and a preset normal skin color based on a pixel-level comparison;

[0025] if the difference value is greater than a preset threshold value, it is determined that pigmentation occurs.

[0026] Further, the method further comprises:

[0027] The shape parameter of each region is analyzed, and whether the corresponding region is protruding or recessed is determined by the shape parameter.

[0028] The depth image information of each region is obtained to analyze the shape parameter of each region.

[0029] The depth image information is converted into a gray image, and the pixel difference value of adjacent pixels in the gray image is calculated by difference method.

[0030] If the pixel difference value is greater than a preset range, it is determined that the corresponding region is protruding.

[0031] If the pixel difference value is less than a preset range, it is determined that the corresponding region is recessed.

[0032] Further, the temperature data of each region of the face is calculated by a temperature compensation algorithm to obtain an adjustment value of each region, comprising:

[0033] The initial temperature value of the forehead region is taken as a reference value based on the forehead region, the zygomatic region and the eye region.

[0034] A first offset value between the temperature value of the zygomatic region and the reference value is calculated.

[0035] The first offset value is input into a preset temperature adjustment model, and the temperature adjustment value of the zygomatic region is output by the temperature adjustment model.

[0036] A second offset value between the temperature value of the eye region and the reference value is calculated.

[0037] The second offset value is input into a preset temperature adjustment model, and the temperature adjustment value of the eye region is output by the temperature adjustment model.

[0038] A third offset value between the temperature value of the forehead region and the reference value is calculated.

[0039] The third offset value is input into a preset temperature adjustment model, and the temperature adjustment value of the forehead region is output by the temperature adjustment model.

[0040] Further, the method further comprises:

[0041] The moving position of the beauty instrument is detected in real time.

[0042] When the beauty instrument moves to the boundary between two adjacent regions, the ultrasonic output parameter is linearly reduced by the beauty instrument.

[0043] controlling the cosmetic instrument to linearly increase the ultrasonic output parameter to a working parameter required by a corresponding region when the cosmetic instrument is away from a boundary of two adjacent regions.

[0044] Further, after the real-time detection of the moving position of the cosmetic instrument, the method further comprises:

[0045] detecting temperature values of two adjacent regions, and if a temperature difference between the two adjacent regions is greater than a preset temperature difference value;

[0046] controlling the cosmetic instrument to stop working when the cosmetic instrument enters a region with a high temperature;

[0047] controlling the cosmetic instrument to start working when the cosmetic instrument leaves the region with the high temperature.

[0048] The embodiment of the present application further provides an ultrasonic cosmetic instrument energy density self-adaptive adjustment system, comprising:

[0049] a first acquisition module configured to acquire user face data detected by a cosmetic instrument;

[0050] a parsing module configured to parse the face data and perform region classification on the face data;

[0051] a recognition module configured to recognize state data of each region according to the region classification;

[0052] a second acquisition module configured to acquire working parameters required by the cosmetic instrument for each region based on the state data of each region;

[0053] an adjustment module configured to adjust the cosmetic instrument according to the working parameters required by the cosmetic instrument for each region, wherein the working parameters are used to adjust an ultrasonic output parameter of the cosmetic instrument when passing through different regions;

[0054] a receiving module configured to receive, in real time, temperature data of each region of a face fed back by the cosmetic instrument;

[0055] a calculation module configured to calculate an adjustment value of each region by a temperature compensation algorithm based on the temperature data of each region of the face;

[0056] an adjustment module configured to adjust the working parameters of the cosmetic instrument based on the adjustment value.

[0057] The present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method according to any one of the preceding embodiments when executing the computer program.

[0058] The application also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps of the method.

[0059] The ultrasonic beauty instrument energy density adaptive adjustment method and system of the embodiment of the application can provide a tailor-made treatment plan for each region of the face through obtaining face data of a user and classifying the regions, and can realize optimization of treatment effect through parameter adjustment according to the thermodynamic properties of the skin through a temperature compensation algorithm. The embodiment of the application can accurately and selectively provide personalized treatment according to the specific conditions of different regions of the face, thereby solving the problem of poor selectivity of the treatment of the beauty instrument in the prior art. Through real-time monitoring of the temperature data of each region of the face and in combination with the temperature compensation algorithm, the embodiment of the application can make customized adjustment according to the skin characteristics of different people, thereby solving the problem that the thermodynamic properties of the skin cannot be accurately measured and adjusted in the prior art. The embodiment of the application can ensure that the beauty instrument avoids over-treatment or under-treatment of certain regions during the treatment process, thereby improving the overall satisfaction of the treatment effect. Meanwhile, the embodiment of the application can make the treatment safer through personalized adjustment of the treatment parameters. BRIEF DESCRIPTION OF DRAWINGS

[0060] Figure 1 FIG. 1 is a flowchart of the ultrasonic beauty instrument energy density adaptive adjustment method of an embodiment of the application;

[0061] Figure 2 FIG. 1 is a flowchart of the ultrasonic beauty instrument energy density adaptive adjustment method of an embodiment of the application;

[0062] Figure 3 FIG. 2 is a structural schematic block diagram of the ultrasonic beauty instrument energy density adaptive adjustment system of an embodiment of the application;

[0063] Figure 4 FIG. 3 is a structural schematic block diagram of the computer device of an embodiment of the application.

[0064] The implementation, functional features and advantages of the application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0065] In order to make the purpose, technical solutions and advantages of the application more clear, the application will be further described in detail below with reference to the embodiments and the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the application and not used to limit the application.

[0066] With reference to Figure 1 The embodiment of the application provides an ultrasonic beauty instrument energy density adaptive adjustment method, which includes a heat exchanger, and the method includes the following steps.

[0067] S1, obtaining user facial data detected by a beauty instrument;

[0068] S2, analyzing the facial data and classifying the facial data by region;

[0069] S3, identifying state data for each region based on the region classification;

[0070] S4, obtaining working parameters required by each region beauty instrument based on the state data of each region;

[0071] S5, adjusting the beauty instrument according to the working parameters required by each region beauty instrument, wherein the working parameters are used to adjust the ultrasonic wave output parameters of the beauty instrument when passing through different regions;

[0072] S6, receiving real-time feedback of temperature data of each region of the face from the beauty instrument;

[0073] S7, calculating the adjustment value of each region by temperature compensation algorithm based on the temperature data of each region of the face;

[0074] S8, adjusting the working parameters of the beauty instrument based on the adjustment value.

[0075] As described in steps S1-S2 above, the user's face is detected using an ultrasonic beauty instrument to obtain relevant data. These data include temperature, sound, current and other signals, which can reflect the user's skin condition, blood circulation, moisture content and other information; by obtaining various signal data of the skin, the user's skin condition can be understood, such as skin moisture, elasticity, blood circulation, etc. Based on the collected data, personalized beauty treatment plans can be provided for each user. The collected facial data is analyzed and processed, and is divided into different regions. These regions can be cheeks, forehead, eye area, etc.; according to the skin characteristics and needs of different regions, corresponding regional treatment is provided; the data of each region can be used to evaluate the treatment effect and adjust the plan. The collected data is analyzed by algorithm, and the face is divided into different regions, such as forehead, cheeks, eye area, etc., which may have different responses to ultrasonic waves; the beauty instrument is allowed to provide personalized treatment plans for different regions of the face, as the skin thickness and density of different regions may be different.

[0076] As described in steps S3-S4 above, by analyzing and processing the data of different regions, the state data of each region is identified. These data can be temperature, sound, etc. signals; according to the state data of each region, more refined beauty treatment is provided; the state data of each region can be monitored, problems can be found in time and corresponding measures can be taken. Using the above face data and state data, the corresponding beauty instrument working parameters are provided for each region. These parameters can be ultrasonic output parameters, temperature parameters, etc. to provide personalized beauty treatment plan for each region, according to the data of different regions, the corresponding working parameters are provided to achieve the best treatment effect.

[0077] As described in step S5 above, according to the working parameters required by each region, the output parameters of the beauty instrument are adjusted; the output parameters of the beauty instrument are adjusted to achieve more accurate treatment effect; the working parameters of the beauty instrument are adjusted according to the data of different regions to ensure user safety. The ultrasonic output parameters of the beauty instrument, such as frequency, intensity, etc. are adjusted to meet the needs of each region.

[0078] As described in steps S6-S8 above, the temperature data of each region of the face is received in real time through the feedback mechanism of the beauty instrument; according to the temperature data of different regions, the beauty treatment effect is evaluated, the temperature data of each region of the face is monitored in real time to ensure the safety of treatment. The adjustment value of each region is calculated by temperature compensation algorithm to adjust the working parameters of the beauty instrument; the adjustment value of each region is calculated according to the temperature compensation algorithm to achieve more accurate treatment; the working parameters of the beauty instrument are adjusted according to the temperature data of different regions to ensure the safety of treatment; the working parameters of the beauty instrument are adjusted according to the above calculated adjustment value to achieve more accurate treatment effect. The temperature sensor is used to monitor the temperature change of each region during treatment, the temperature during treatment is monitored to ensure that the treatment temperature is within a safe range, and timely adjustment is made to prevent overheating. The adjustment value required for the parameters of the beauty instrument is calculated according to the temperature data by using the temperature compensation algorithm set in advance; the treatment parameters are fine-tuned through real-time temperature data to optimize the treatment effect and reduce side effects. According to the calculated adjustment value, the working parameters of the beauty instrument are dynamically adjusted, such as changing the intensity or duration of ultrasonic waves.

[0079] As described in the above steps, by acquiring user facial data and classifying the regions, the beauty instrument can provide a customized treatment plan for each region of the face; through the temperature compensation algorithm, the parameters are adjusted according to the thermodynamic properties of the skin, and the optimization of the treatment effect is realized. According to the specific situation of different regions of the user's face, accurate and selective personalized treatment is selected, thereby solving the problem of poor selectivity of the existing art. By monitoring the temperature data of each region of the face in real time, and combining the temperature compensation algorithm, customized adjustment can be made according to the skin characteristics of different people, solving the problem that the skin thermodynamic properties cannot be accurately measured and adjusted in the prior art. The present application can ensure that the beauty instrument avoids the problem of over-treatment or insufficient treatment of certain areas during the treatment process, and improves the overall satisfaction of the treatment effect. At the same time, through the adjustment of the personalized treatment parameters, the treatment is safer.

[0080] In a feasible embodiment, it is assumed that the ultrasonic beauty instrument needs to classify the user's face and provide personalized treatment during the treatment process. Before the treatment starts, the beauty instrument first acquires the user's facial data through the sensor, including skin thickness, sensitivity, etc.

[0081] The user's facial data detected by the beauty instrument is obtained, and the skin thickness is: the average value of the forehead region is 5mm, the average value of the cheek region is 4mm, and the average value of the eye region is 3mm; the skin sensitivity: the forehead region is low sensitivity, the cheek region is medium sensitivity, and the eye region is high sensitivity.

[0082] The facial data is analyzed, and the facial data is classified into three regions: forehead, cheek, and eye. According to the region classification, the state data of each region is identified: the forehead region state data: skin thickness 5mm, sensitivity low; cheek region state data: skin thickness 4mm, sensitivity medium; eye region state data: skin thickness 3mm, sensitivity high.

[0083] Based on the state data of each region, the working parameters required by the beauty instrument for each region are obtained:

[0084] The forehead region working parameters: ultrasonic frequency 40kHz, energy density 2.0J / cm 2 ;

[0085] The cheek region working parameters: ultrasonic frequency 40kHz, energy density 1.5J / cm 2 ;

[0086] The eye region working parameters: ultrasonic frequency 30kHz, energy density 1.0J / cm 2 .

[0087] The cosmetic instrument is adjusted according to the working parameters required by each area of the cosmetic instrument, and the ultrasonic output parameters are adjusted to adapt to the requirements of each area. Real-time reception of the temperature data of each area of the face of the cosmetic instrument feedback: forehead area temperature data: 32 DEG C;

[0088] Cheek area temperature data: 30 DEG C;

[0089] Periorbital area temperature data: 28 DEG C.

[0090] The temperature data of each area of the face is calculated by a temperature compensation algorithm to obtain the adjustment value of each area: the forehead area adjustment value: 0 DEG C;

[0091] The cheek area adjustment value: -1 DEG C;

[0092] The periorbital area adjustment value: -2 DEG C.

[0093] Adjust the working parameters of the cosmetic instrument based on the adjustment value:

[0094] The forehead area working parameters remain unchanged;

[0095] The cheek area working parameters: ultrasonic frequency 40 kHz, energy density 1.4 J / cm 2 ;

[0096] The periorbital area working parameters: ultrasonic frequency 30 kHz, energy density 0.9 J / cm 2 . Through the above example, the energy density of the ultrasonic cosmetic instrument can be adaptively adjusted, thereby improving the treatment effect and safety. According to the specific conditions of different areas of the user's face, the ultrasonic frequency and energy density are adjusted to ensure that each area can receive appropriate treatment. At the same time, by monitoring the skin temperature in real time and using a temperature compensation algorithm, the treatment parameters are further optimized to realize personalized treatment.

[0097] Referring to Figure 2 In one embodiment, the state data of each area is identified according to the area classification, including:

[0098] S21, obtaining three-dimensional point cloud data of the user's face, and segmenting the three-dimensional point cloud data by point cloud segmentation to obtain an area classification, the areas including a forehead area, a cheekbone area and a periorbital area;

[0099] S22, analyzing the color parameters of each area, and determining whether the corresponding area has pigment deposition through the color parameters;

[0100] S23, analyzing the shape parameters of each area, and determining whether the corresponding area has a protrusion or a depression through the shape parameters, wherein the protrusion, the depression and the pigment deposition are used to adjust the working parameters of the cosmetic instrument;

[0101] S24, determining state data of each region according to the analysis results of the color parameters and shape parameters.

[0102] As described in the above steps, the three-dimensional scanning technology or camera combined with depth sensor is used to capture the three-dimensional structure of the user's face. Point cloud data is a set of three-dimensional coordinates composed of a large number of points, which can be used to describe the shape and structure of the face. Accurate acquisition of facial geometric information provides basic data for subsequent shape analysis and personalized treatment. The point cloud data is processed by algorithms and segmented into different regions, such as forehead, cheekbone, and eye area, etc. It can be distinguished by clustering and edge detection technology. Different regions of the face are distinguished in order to analyze and calculate specifically. The color information of each region of the face is analyzed by image processing technology, such as skin color, color spots, etc. This usually involves color space conversion, filtering and feature extraction algorithms. Identify skin problems such as pigmentation to provide a basis for skin treatment. The shape features of the face region are analyzed by geometric analysis or machine learning methods, such as whether there are protrusions, depressions, etc. This may involve feature extraction, contour analysis and pattern recognition techniques; identify physiological and pathological changes of the skin, such as acne, wrinkles, etc. to provide a reference for treatment. Combine color and shape parameter data to establish state data for each region, which may include skin health, treatment type and intensity, etc.; realize personalized skin treatment plan, improve treatment effect and user satisfaction. In summary, through the steps of three-dimensional scanning, point cloud segmentation, color and shape analysis, the state data of different regions of the user's face is accurately identified and analyzed. It is worth mentioning that the protrusions refer to the papules, nodules, scars or other types of skin protrusions on the skin surface, which may be caused by acne, skin inflammation or other skin diseases. The depressions refer to the small indentations, scars or skin relaxation and wrinkles caused by skin aging on the skin surface. Pigmentation refers to the color spots, freckles, sunspots or other types of pigment abnormalities on the skin. These pigments may be caused by genetics, ultraviolet exposure, skin inflammation or other skin diseases. Specific adjustments: Protrusions: If skin protrusions are detected, the cosmetic instrument can adjust the frequency of radio frequency or ultrasonic waves to better penetrate the protrusion area while avoiding excessive heating of the surrounding skin. For example, if the protrusion is caused by acne, the cosmetic instrument can increase the output of radio frequency energy to promote the healing of acne. Depressions: For skin depressions such as wrinkles or scars, the cosmetic instrument can use higher energy density to promote collagen production and skin tightening. For example, when using an ultrasonic cosmetic instrument, the intensity of the ultrasonic waves can be increased to stimulate collagen reconstruction in the deep layers of the skin. Pigmentation: For pigmentation, the cosmetic instrument can use specific light therapy techniques such as intense pulsed light (IPL) or laser treatment to break down pigments. At the same time, the cosmetic instrument can reduce the output of ultrasonic energy to avoid unnecessary irritation or damage to the surrounding skin.

[0103] In one embodiment, the analyzing color parameters of each of the regions, and determining whether the corresponding region has hyperpigmentation based on the color parameters, comprises:

[0104] Converting the image of each region in the face data into HSV color space;

[0105] According to the results of the region classification, extracting the image block of each of the regions in the HSV color space;

[0106] Dividing each of the image blocks into a binary image, wherein the hyperpigmented region is marked as white and other regions are marked as black;

[0107] Based on pixel-level comparison, analyzing the difference value between the hyperpigmented region and the preset normal skin color;

[0108] If the difference value is greater than a preset threshold, then determining that the region has hyperpigmentation.

[0109] As described in the above steps, the face image is converted from the common RGB color space to the HSV (hue, saturation, brightness) color space. This is because the HSV color space is more convenient to distinguish the difference between colors, which helps subsequent image analysis. Next, according to the classification results of the face region, the specific regions are extracted from the converted HSV image. These regions may include spots, acne marks, scars, and other places where hyperpigmentation may exist. The extracted regions are then further processed and converted into binary images. At this stage, the hyperpigmented region is identified and marked as white, while other regions are marked as black. The hyperpigmented region and other regions can be more clearly distinguished, simplifying subsequent analysis. Then, the program compares the difference between the hyperpigmented region and the preset normal skin color based on pixel-level comparison. This usually involves calculating the numerical value of the color difference to quantify the hyperpigmentation. Finally, the calculated difference value is compared with a preset threshold. If the difference value exceeds the threshold, it is determined that the region has hyperpigmentation. This realizes non-invasive evaluation of skin condition and provides valuable skin health information for users.

[0110] In one embodiment, the analyzing shape parameters of each of the regions, and determining whether the corresponding region has a protrusion or a depression based on the shape parameters, comprises:

[0111] Analyzing the shape parameters of each of the regions by obtaining depth image information of each region;

[0112] Converting the depth image information into a grayscale image, and calculating the difference value between adjacent pixels in the grayscale image by difference method;

[0113] judging whether the corresponding region appears protrusion or depression based on the pixel difference value;

[0114] if the pixel difference value is greater than a preset range, judging that the corresponding region appears protrusion;

[0115] if the pixel difference value is less than a preset range, judging that the corresponding region appears depression.

[0116] As described above, by obtaining the depth image information of each region, the three-dimensional shape data of the region can be obtained. Each pixel value in the depth image corresponds to the distance from the object surface to the imaging device, thereby reflecting the shape of the region. The shape information of the region can be accurately obtained, providing a data basis for subsequent shape analysis. After the depth image is converted into a grayscale image, the interference of color information on analysis can be excluded, making the image processing more focused on structural information such as shape and texture. The image processing process is simplified, and the efficiency and accuracy of algorithm processing are improved. The difference method detects local changes in the image by comparing the differences between adjacent pixels. This method can identify the mutation regions in the image, such as protrusions or depressions. It can effectively identify shape changes in the image and provide a basis for subsequent shape judgment. By setting a threshold range and comparing the pixel difference value with the range, it can be judged whether the region where the pixel is located is protrusion or depression. The shape change of the region can be automatically judged according to the image data without human intervention, improving the objectivity and accuracy of the judgment. If the pixel difference value is greater than a preset range, it is judged that the corresponding region appears protrusion, which can accurately identify the protruding part in the image. If the pixel difference value is less than a preset range, it is judged that the corresponding region appears depression, which can accurately identify the depressed part in the image.

[0117] In an embodiment, the temperature data of each region of the face is calculated by a temperature compensation algorithm to obtain an adjustment value of each region, including:

[0118] Based on the forehead region, the zygomatic region and the eye region, the temperature value of the forehead region initially obtained is taken as a reference value;

[0119] A first offset value between the temperature value of the zygomatic region and the reference value is calculated;

[0120] The first offset value is input into a preset temperature adjustment model, and a temperature adjustment value of the zygomatic region is output by the temperature adjustment model;

[0121] A second offset value between the temperature value of the eye region and the reference value is calculated;

[0122] The second offset value is input into a preset temperature adjustment model, and a temperature adjustment value of the eye region is output by the temperature adjustment model;

[0123] calculating a third offset value between the temperature value of the forehead region and the reference value;

[0124] inputting the third offset value into a preset temperature adjustment model, and outputting a temperature adjustment value of the periocular region through the temperature adjustment model.

[0125] As mentioned above, as the user uses the ultrasonic beauty instrument, the temperature of the face will rise as the time of use increases, and the sensitivity of the face will increase after the temperature rises, so the ultrasonic working parameters of the beauty instrument need to be reduced. Specifically, the temperature compensation algorithm analyzes the temperature data of different regions of the face, identifies the temperature change of each region, and calculates the corresponding adjustment value. These adjustment values reflect the temperature deviation of each region relative to the reference state. Ensure that the beauty instrument can adjust the working parameters according to the temperature change of different regions to adapt to the skin state and environmental conditions of different regions. The temperature of the forehead region is selected as the reference value because the temperature of the forehead region is generally more susceptible to environmental influences than other regions, and as a reference, it can correct the temperature data of other regions. A stable reference point is provided to help reduce the impact of environmental factors on temperature measurement and ensure the consistency of the entire face temperature compensation. By comparing the difference between the temperature value of the malar region and the forehead reference value, the first offset value, that is, the temperature deviation of the malar region relative to the reference value, is calculated. Compensate for the temperature deviation of the malar region to make its temperature data more accurate, so that the beauty instrument can adjust the working parameters of the malar region. The first offset value of the malar region is processed using a preset temperature adjustment model, and the temperature adjustment value of the malar region is output according to the algorithm of the model. Through model processing, ensure that the working parameters of the malar region can be accurately adjusted according to the temperature change to achieve the best beauty effect. Similarly, by comparing the difference between the temperature value of the periocular region and the forehead reference value, the second offset value, that is, the temperature deviation of the periocular region relative to the reference value, is calculated. Compensate for the temperature deviation of the periocular region to make its temperature data more accurate, so that the beauty instrument can adjust the working parameters of the periocular region. The second offset value of the periocular region is processed using a preset temperature adjustment model, and the temperature adjustment value of the periocular region is output according to the algorithm of the model. Through model processing, ensure that the working parameters of the periocular region can be accurately adjusted according to the temperature change to protect sensitive eye skin. Again, compare the difference between the temperature value of the forehead region and itself as a reference value, calculate the third offset value, that is, the temperature deviation of the forehead region relative to the reference value. This step may be used to verify the accuracy of the reference value or take into account the temperature difference within the forehead region to further optimize the working parameters of the forehead region. By considering the temperature data of the forehead region, the temperature adjustment of the forehead region is further optimized. Through model processing, ensure that the working parameters of the forehead region can be accurately adjusted according to the temperature change to maintain the consistency of the entire face temperature compensation.

[0126] In an embodiment, the method further comprises:

[0127] detecting the real-time moving position of the cosmetic instrument;

[0128] controlling the cosmetic instrument to linearly decrease the ultrasonic output parameter when the cosmetic instrument moves to the boundary of two adjacent regions;

[0129] controlling the cosmetic instrument to linearly increase the ultrasonic output parameter to the working parameter required by the corresponding region when the cosmetic instrument moves away from the boundary of two adjacent regions.

[0130] As mentioned above, the real-time position of the cosmetic instrument can be tracked using sensors or other positioning technologies. This is to ensure that the movement of the cosmetic instrument can be responded in time. When the cosmetic instrument is detected to move to the boundary of two adjacent working regions (e.g. skin types or treatment modes), the system will start to decrease the ultrasonic output parameter. Linear decrease means that the output parameter will decrease at a constant rate until the working parameter of the next region is reached. When the cosmetic instrument starts to move away from the boundary and enters the new region, the system will gradually increase the ultrasonic output parameter until the working parameter required by the region is reached. This step also adopts linear increase, ensuring that the change of the output parameter is smooth and controllable. Such an operation method can prevent the cosmetic instrument from suddenly changing the output parameter between regions, thereby avoiding discomfort to the user, while ensuring the continuity and stability of the treatment effect. When designing the control system of such a cosmetic instrument, the ultrasonic generator needs to be precisely controlled.

[0131] In an embodiment, after the real-time moving position of the cosmetic instrument is detected, the method further comprises:

[0132] detecting the temperature values of two adjacent regions, and if the temperature difference between the two adjacent regions is greater than a preset temperature difference value;

[0133] controlling the cosmetic instrument to stop working when the cosmetic instrument enters a region with high temperature;

[0134] controlling the cosmetic instrument to start working when the cosmetic instrument leaves the region with high temperature.

[0135] As mentioned above, the temperature sensor or other temperature detection device is used to measure and compare the temperature of the two adjacent regions. This is to determine the temperature difference between the two regions. The detected temperature value is compared with the preset temperature difference value. If the temperature difference is greater than the preset value, it may indicate that there is a significant difference in temperature conditions between the two regions, and measures need to be taken to avoid discomfort or damage to the device for the user. If the beauty instrument is detected to enter a region with a higher temperature, the control system will instruct the beauty instrument to stop working. This is to prevent the poor effect or safety problems that may be caused by continuing to operate in a high temperature environment. Once the beauty instrument leaves the region with a higher temperature, the control system will instruct the beauty instrument to start working. This ensures that the beauty instrument resumes operation in suitable temperature conditions to continue to provide effective treatment or care.

[0136] The ultrasonic beauty instrument energy density adaptive adjustment method of the present application can provide a customized treatment plan for each region of the face by obtaining user facial data and classifying it by region. Through the temperature compensation algorithm, the parameters are adjusted according to the thermodynamic properties of the skin, optimizing the treatment effect. According to the specific conditions of different regions of the user's face, precise and selective personalized treatment is carried out, thereby solving the problem of poor treatment selectivity of the existing technology. By monitoring the temperature data of each region of the face in real time and combining the temperature compensation algorithm, customized adjustments can be made according to the skin characteristics of different people, solving the problem of being unable to accurately measure and adjust the thermodynamic properties of the skin in the existing technology. The present application can ensure that the beauty instrument avoids over-treatment or under-treatment of certain regions during the treatment process, improving the overall satisfaction of the treatment effect. At the same time, through personalized treatment parameter adjustment, the treatment is safer.

[0137] In an embodiment, before the step of adjusting the working parameters of the beauty instrument based on the adjustment value, it further comprises:

[0138] analyzing the temperature rise trend of the temperature data of each region through the trained nonlinear model;

[0139] When the temperature rise rate of the temperature rise trend within the preset time is greater than the preset change threshold, the ultrasonic output parameter of the beauty instrument is reduced.

[0140] As mentioned above, the beauty instrument needs to collect temperature data of each region of the skin, which is usually time series data reflecting real-time changes in skin temperature. With historical data, a nonlinear model is trained through machine learning algorithms such as deep learning, random forest, etc. This model can capture the nonlinear relationship and complex patterns in temperature changes. In each use of the beauty instrument, real-time temperature data is input into the trained nonlinear model, and the model outputs the predicted temperature rise trend. Compare the model-predicted temperature rise rate with the preset change threshold. If the temperature rise rate exceeds the threshold, the beauty instrument will reduce the ultrasonic output parameter. According to the results of model prediction and threshold comparison, the beauty instrument adjusts the ultrasonic output parameter to control the skin temperature. It is worth mentioning that the change of skin temperature is a complex nonlinear process, which is affected by many factors (such as skin type, environmental conditions, personal physiological state, etc.). Nonlinear models can better capture these complex relationships; nonlinear models can simulate the dynamic response of the skin to energy output, which is a dynamic nature that linear models cannot accurately describe. Compared with linear models, nonlinear models usually have higher prediction accuracy, especially when dealing with complex and variable data. By using nonlinear models, the beauty instrument can more accurately analyze and predict the trend of skin temperature changes.

[0141] In an embodiment, before the step of adjusting the working parameters of the beauty instrument based on the adjustment value, further comprising:

[0142] Constructing a delay model for determining the delay time and the temperature amplitude of the delay effect;

[0143] Input the adjustment value of each region and the time when the temperature compensation algorithm calculates the adjustment value into the delay model, and predict the temperature amplitude corresponding to the time when the temperature compensation algorithm calculates the adjustment value through the delay model;

[0144] According to the prediction result, the adjustment value is optimized to obtain a final adjustment value, and the working parameters of the beauty instrument are adjusted based on the final adjustment value.

[0145] As mentioned above, a mathematical model is established to describe the effect of temperature feedback delay on the system according to the system characteristics and the response time of the temperature feedback sensor. This model can be a difference equation, a transfer function, or other mathematical forms. In the model, the delay time is an important parameter that needs to be accurately measured or estimated; by establishing a delay model, the delay time of temperature feedback and the amplitude of delay effect can be determined, the response time of the system can be reduced, and the response speed of the system to temperature changes can be improved by predicting the effect of temperature feedback delay and optimizing the adjustment value. The adjustment value of each region and the time when the temperature compensation algorithm is used to calculate the adjustment value are input into the delay model, and the temperature amplitude corresponding to the delay time can be predicted. This prediction can be achieved using numerical simulation or other tools. The prediction result can be output to the control system as a reference signal to optimize the adjustment strategy of the controller. According to the prediction result and the actual feedback data, the adjustment value of the controller is optimized. For example, the least squares method can be used to fit the difference between the prediction result and the actual feedback data, so as to obtain a more accurate adjustment value. This process can be implemented online or offline and uploaded to the controller. According to the optimized controller adjustment value, the working parameters of the beauty instrument are adjusted to better adapt to the effect of temperature feedback delay. By adjusting the working parameters of the beauty instrument, the system can better adapt to the situation of temperature feedback delay, and the control performance of the system can be improved to ensure that the system can operate as expected.

[0146] In a specific embodiment, we assume that we have established a first-order inertial transfer function model to describe the delay effect of the system, and its transfer function is:

[0147] where (s) is a complex variable representing the complex plane in the frequency domain. The transfer function (G(s)) describes the relationship between the input and output of the system, and in this formula, the transfer function is composed of two parts: (\frac{K}{Ts+1}) represents the transfer function part of the system, and (e^{-Ls}) represents the delay part of the system. (K) is the gain, (T) is the time constant, and (L) is the delay time. According to the known controller input and delay time, the temperature amplitude corresponding to the delay time can be predicted using the transfer function model. Assuming that we have obtained the delay time (L=0.5) seconds through experiments or simulations, and the set value of the controller is 50 degrees, the actual feedback data shows that the temperature rises by 5 degrees within the delay time. The least squares method can be used to fit the predicted value and the actual feedback data to optimize the adjustment value of the controller. According to the optimized adjustment value, the heating power or heating time of the beauty instrument is adjusted to make the system better adapt to the effect of temperature feedback delay.

[0148] Reference Figure 3The embodiment of the present application also provides an ultrasonic beauty instrument energy density self-adaptive adjustment system, comprising:

[0149] A first acquisition module 1 is configured to acquire user face data detected by the beauty instrument.

[0150] An analysis module 2 is configured to analyze the face data and perform regional classification on the face data.

[0151] An identification module 3 is configured to identify state data of each region according to the regional classification.

[0152] A second acquisition module 4 is configured to acquire working parameters required by the beauty instrument in each region based on the state data of each region.

[0153] An adjustment module 5 is configured to adjust the beauty instrument according to the working parameters required by the beauty instrument in each region, wherein the working parameters are used to adjust ultrasonic output parameters of the beauty instrument when passing through different regions.

[0154] A receiving module 6 is configured to receive temperature data of each region of the face fed back by the beauty instrument in real time.

[0155] A calculation module 7 is configured to calculate an adjustment value of each region by a temperature compensation algorithm based on the temperature data of each region of the face.

[0156] An adjustment module 8 is configured to adjust the working parameters of the beauty instrument based on the adjustment value.

[0157] As described above, it can be understood that each component of the ultrasonic beauty instrument energy density self-adaptive adjustment system proposed in the present application can realize the function of any one of the ultrasonic beauty instrument energy density self-adaptive adjustment methods described above, and the specific structure will not be described again.

[0158] Reference Figure 4 The embodiment of the present application also provides a computer device, which can be a server, and the internal structure thereof can be as shown in Figure 4 The computer device comprises a processor, a memory, a network interface and a database connected through a system bus. The processor of the computer device is configured to provide calculation and control capabilities. The memory of the computer device comprises a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium. The database of the computer device is configured to store monitoring data and other data. The network interface of the computer device is configured to communicate with an external terminal through a network connection. The computer program is executed by the processor to implement an ultrasonic beauty instrument energy density self-adaptive adjustment method.

[0159] The processor executes the above-mentioned ultrasonic beauty instrument energy density adaptive adjustment method, which comprises the following steps: obtaining user facial data detected by a beauty instrument; analyzing the facial data and classifying the facial data by region; identifying state data of each region according to the region classification; obtaining working parameters required by the beauty instrument in each region based on the state data of each region; adjusting the beauty instrument according to the working parameters required by the beauty instrument in each region, wherein the working parameters are used to adjust the ultrasonic output parameters of the beauty instrument when passing through different regions; receiving temperature data of each region of the face fed back by the beauty instrument in real time; calculating an adjustment value of each region by a temperature compensation algorithm based on the temperature data of each region of the face; and adjusting the working parameters of the beauty instrument based on the adjustment value.

[0160] The above-mentioned ultrasonic beauty instrument energy density adaptive adjustment method can provide a tailor-made treatment plan for each region of the face by obtaining user facial data and classifying the facial data by region. The treatment effect is optimized by adjusting the parameters according to the thermodynamic properties of the skin through a temperature compensation algorithm. The problem of poor selectivity of the beauty instrument in the prior art is solved by accurately and selectively selecting personalized treatment according to the specific conditions of different regions of the user's face. The problem of being unable to accurately measure and adjust the thermodynamic properties of the skin in the prior art is solved by real-time monitoring of the temperature data of each region of the face and combining the temperature compensation algorithm to make customized adjustments according to the skin characteristics of different people. The present application can ensure that the beauty instrument avoids over-treatment or under-treatment of certain regions during treatment, thereby improving the overall satisfaction of the treatment effect. At the same time, the treatment is safer through personalized adjustment of the treatment parameters.

[0161] An embodiment of the present application also provides a computer readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement an ultrasonic beauty instrument energy density adaptive adjustment method, comprising the following steps: obtaining user facial data detected by a beauty instrument; analyzing the facial data and classifying the facial data by region; identifying state data of each region according to the region classification; obtaining working parameters required by the beauty instrument in each region based on the state data of each region; adjusting the beauty instrument according to the working parameters required by the beauty instrument in each region, wherein the working parameters are used to adjust the ultrasonic output parameters of the beauty instrument when passing through different regions; receiving temperature data of each region of the face fed back by the beauty instrument in real time; calculating an adjustment value of each region by a temperature compensation algorithm based on the temperature data of each region of the face; and adjusting the working parameters of the beauty instrument based on the adjustment value.

[0162] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiment methods. Any reference to memory, storage, databases, or other media in this application and in examples provided herein, unless specifically stated otherwise, can include non-volatile and / or volatile memory. Non-volatile memory can include, for example, read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include, for example, random access memory (RAM), or external cache memory. As an illustration and not a limitation, RAM is available in many forms such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), Rambus DRAM (RDRAM), direct Rambus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0163] It should be noted that the terms "comprising", "including", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, a device, an article or a method that comprises a list of elements does not include only those elements recited, but can also include other elements not expressly listed or inherent to such process, device, article or method. Without further limitation, an element defined by the phrase "comprising a" does not exclude the presence of additional identical elements in the process, device, article or method that includes the element.

[0164] The above description is only the preferred embodiment of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation using the content of the specification and drawings, or direct or indirect application in other related technical fields, is also included in the patent protection scope of the present application.

Claims

1. An ultrasonic beauty instrument energy density self-adaptive adjustment system, characterized in that, The method comprises the following steps: A first acquisition module is configured to acquire user facial data detected by a beauty instrument; An analysis module is configured to analyze the facial data and classify the facial data by region; An identification module is configured to identify state data of each region according to the region classification; A second acquisition module is configured to acquire working parameters required by a beauty instrument in each region based on the state data of each region; An adjustment module is configured to adjust the beauty instrument according to the working parameters required by the beauty instrument in each region, wherein the working parameters are used to adjust the ultrasonic output parameters of the beauty instrument when passing through different regions; A receiving module is configured to receive temperature data of each region of the face fed back by the beauty instrument in real time; A calculation module is configured to calculate an adjustment value of each region by a temperature compensation algorithm based on the temperature data of each region of the face; An adjustment module is configured to adjust the working parameters of the beauty instrument based on the adjustment value; The adjustment module is further configured to analyze the temperature rising trend of the temperature data of each region by a trained nonlinear model; When the temperature rising rate of the temperature rising trend within a preset time is greater than a preset change threshold, the ultrasonic output parameters of the beauty instrument are reduced, the temperature data of the skin of each region is collected by the beauty instrument, the temperature data is time series data used to reflect the real-time change of the skin temperature, a nonlinear model is trained by a machine learning algorithm based on historical data, the nonlinear model can capture the nonlinear relationship and complex pattern in the temperature change, the real-time temperature data is input into the trained nonlinear model when the beauty instrument is used, the model outputs a predicted temperature rising trend, the predicted temperature rising rate of the model is compared with the preset change threshold, if the temperature rising rate exceeds the threshold, the beauty instrument reduces the ultrasonic output parameters, the beauty instrument adjusts the ultrasonic output parameters according to the result of the model prediction and the threshold comparison, so as to control the skin temperature; the nonlinear model can simulate the dynamic response of the skin to the energy output. The adjustment module is also used to build a delay model for determining the delay time and the temperature amplitude of the delay effect; input the adjustment value of each region and the time when the temperature compensation algorithm calculates the adjustment value into the delay model, predict the temperature amplitude corresponding to the delay time of the temperature compensation algorithm when calculating the adjustment value through the delay model; optimize the adjustment value according to the prediction result to obtain a final adjustment value, and adjust the working parameter of the beauty instrument based on the final adjustment value; according to the system characteristics and the response time of the temperature feedback sensor, a mathematical model is established to describe the influence of temperature feedback delay on the system, in which the delay time is an important parameter that needs to be accurately measured or estimated; by establishing the delay model, the delay time of the temperature feedback and the amplitude of the delay effect are determined, the influence of the temperature feedback delay is predicted, and the adjustment value is optimized; the adjustment value of each region and the time when the temperature compensation algorithm calculates the adjustment value are input into the delay model, and the temperature amplitude corresponding to the delay time is predicted; the prediction includes numerical simulation, and the prediction result is output to the control system as a reference signal to optimize the adjustment strategy of the controller; the adjustment value of the controller is optimized according to the prediction result and the actual feedback data; the least square method is used to fit the difference between the prediction result and the actual feedback data, so that a more accurate adjustment value is obtained; this process includes online implementation or offline calculation and uploading to the controller, the working parameter of the beauty instrument is adjusted according to the optimized controller adjustment value, so that the beauty instrument adapts to the influence of the temperature feedback delay; a first-order inertia transfer function model is established to describe the delay effect of the system, and the transfer function is: [ G(s) = \frac{K}{Ts+1}e^{-Ls} ]; wherein, ( s ) is a complex variable, representing a complex plane in the frequency domain, the transfer function ( G(s) ) describes the relationship between the input and output of the system, in this formula, the transfer function is composed of two parts: ( \frac{K}{Ts+1} ) represents the transfer function part of the system, ( e^{-Ls} ) represents the delay part of the system, ( K ) is the gain, ( T ) is the time constant, and ( L ) is the delay time; according to the known controller input and delay time, the transfer function model can be used to predict the temperature amplitude corresponding to the delay time. 2.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is characterized in that, The processor executes the computer program to realize the steps of the system of claim 1.

3. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to realize the steps of the system of claim 1.

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