Intelligent face physiotherapy equipment and use method thereof

Abstract

The invention belongs to the field of beauty physiotherapy equipment, and particularly discloses intelligent facial physiotherapy equipment and a use method thereof, and the equipment comprises a flexible mask, an intelligent acupoint recognition module, an air supply device and a controller. A plurality of airbags are arranged on the surface of the flexible mask; each airbag comprises an airbag cavity, an air inlet, an air outlet and an electromagnetic valve for controlling on-off of airflow. The acupoint intelligent identification module is composed of an image acquisition unit and a deep learning model and is used for identifying face acupoints and generating acupoint positioning information. The air supply device inflates or deflates the air bag through the electromagnetic valve, and the massage function is achieved. The controller is in signal connection with all the components and controls inflation and deflation and pressure adjustment of the air bag according to acupuncture point positioning information. According to the face physical therapy system, the defects of existing face physical therapy equipment in the aspects of accurate acupuncture point positioning and data management analysis are overcome, accurate face acupuncture point positioning and personalized physical therapy are achieved, the physical therapy effect is greatly improved, and compared with a traditional physical therapy mode, the accuracy and effectiveness of physical therapy are greatly improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of cosmetic therapy equipment, in particular to an intelligent facial therapy equipment and a use method thereof. BACKGROUND

[0002] In the field of beauty care, facial therapy as a common maintenance method has been favored by many users. However, although there are various facial therapy equipment on the market, there are still some deficiencies that need to be solved in the actual use process.

[0003] Firstly, in terms of facial acupoint positioning, due to the complex distribution of facial acupoints of human body and the significant difference in facial structure of each person, the traditional acupoint positioning method based on fixed template or simple algorithm cannot accurately find the specific acupoint of each user. This inaccurate positioning method seriously affects the play of the therapy effect and cannot meet the user's demand for precise therapy.

[0004] Secondly, the data management and analysis capability of existing equipment is weak. They cannot effectively collect, analyze and utilize the therapy data of users, and it is difficult to realize the optimization of personalized therapy scheme based on data driving. This means that even if users accumulate a large amount of therapy data in the use process, these data cannot be effectively utilized and cannot provide more targeted therapy suggestions for users.

[0005] In summary, the existing facial therapy equipment has obvious deficiencies in accurate acupoint positioning and data management and analysis, and cannot meet the user's demand for personalized and precise therapy. Therefore, it is of great practical significance to develop an intelligent facial therapy equipment that can intelligently identify facial features of users and provide personalized therapy scheme according to different needs. SUMMARY

[0006] The purpose of the present application is to provide an intelligent facial therapy equipment and a use method thereof to solve the above technical problems existing in the prior art.

[0007] In one aspect, the present application provides an intelligent facial therapy equipment, comprising:

[0008] A flexible mask, the surface of which is provided with a plurality of air bags, the air bags comprising an air bag cavity, an air inlet, an air outlet and an electromagnetic valve for controlling the flow of air;

[0009] An acupoint intelligent identification module comprising an image acquisition unit and a deep learning model, for identifying facial acupoints and generating acupoint positioning information;

[0010] A gas supply device comprising a gas storage tank, a gas supply pipe and an air flow regulating valve, for inflating or deflating the air bags through the electromagnetic valve;

[0011] A controller is signal connected with the acupoint intelligent identification module, electromagnetic valve and gas supply device, used for controlling the inflation and deflation and pressure adjustment of the air bag according to the acupoint positioning information.

[0012] Further, the air bag surface is provided with massage protrusions for enhancing the acupoint massage effect when inflated. By setting massage protrusions on the surface of the air bag, more effective massage physiotherapy can be performed on the facial acupoints when the air bag is inflated and expanded. This design enhances the physiotherapy effect of the device, not only stimulating the acupoints through air pressure, but also providing more direct massage through physical contact. The massage protrusions can better simulate traditional manual massage, improving the accuracy and effectiveness of acupoint stimulation, thereby enhancing blood circulation and promoting facial skin metabolism.

[0013] Further, at least one micro pressure sensor is provided in the air bag cavity, which is signal connected with the controller to provide real-time pressure signals to the controller for precise physiotherapy. By setting a micro pressure sensor in the air bag cavity, real-time feedback of the air bag pressure signal can be achieved, allowing the controller to dynamically adjust the gas supply based on these signals, ensuring that each acupoint receives appropriate pressure and achieving precise physiotherapy results. By precisely controlling the air bag pressure, the device can provide personalized massage intensity according to different users' facial structures and physiotherapy needs, thereby improving the overall physiotherapy effect.

[0014] Further, the electromagnetic valve is a two-position three-way electromagnetic valve. Using a two-position three-way electromagnetic valve as the control valve of the air bag can achieve more precise and flexible air flow control. This electromagnetic valve can quickly switch between gas supply, exhaust and sealing states, thereby improving the accuracy and response speed of air bag pressure regulation.

[0015] Further, the flexible mask has a heating layer including an electric heating wire and a temperature sensor. The heating function can promote facial blood circulation, increase skin metabolism, and help improve facial skin condition. At the same time, heat therapy can also help open pores and promote the absorption of skincare products, improving overall skincare effectiveness.

[0016] Further, the controller is configured with a personalized database for storing user facial data, skin condition and physiological indicators, and generating customized physiotherapy programs based on stored data. This comprehensive data collection and storage allows the device to consider individual differences such as skin sensitivity, specific health problems or physiological cycles, thereby developing more accurate and safe physiotherapy plans. Long-term use can also track changes in users' skin condition, continuously optimizing physiotherapy programs and improving treatment effectiveness. In addition, these data also provide valuable information for future product improvement and personalized medical and cosmetic services.

[0017] Further, the controller includes a display screen and function control keys for displaying the treatment status and receiving user instructions. The display screen can display real-time information such as the current acupoint being massaged, pressure intensity, temperature, etc., while the function control keys allow the user to operate and adjust according to their own needs, such as adjusting the massage intensity, selecting different treatment modes, or pausing / resuming the treatment.

[0018] Further, the image acquisition unit includes at least one multi-angle adjustable camera for capturing facial images. The multi-angle adjustable camera can capture facial images from different angles to obtain more comprehensive facial contour and feature information. This design provides more abundant data support for acupoint recognition, thereby improving the accuracy and reliability of acupoint recognition.

[0019] Further, the deep learning model is based on a convolutional neural network algorithm to construct a model for feature extraction of the collected facial data. This deep learning-based model can learn and adapt to the facial features and acupoint distribution differences of different users, thereby better meeting individualized treatment needs.

[0020] In another aspect, the present application also provides a use method of an intelligent facial treatment device, which is applied to any of the above-mentioned intelligent facial treatment devices. The use method includes the following steps:

[0021] Step S1, acquiring facial images of the user through the acupoint recognition module, recognizing acupoints and generating acupoint information;

[0022] Step S2, the controller controls the air supply device to inflate the corresponding air bag according to the acupoint information;

[0023] Step S3, real-time monitoring of the pressure in the air bag and feedback of the pressure information to the controller;

[0024] Step S4, the controller dynamically adjusts the air supply according to the feedback to achieve precise pressure treatment;

[0025] Step S5, after the treatment is completed, the controller controls the electromagnetic valve to exhaust to release the air bag pressure.

[0026] Compared with the prior art, the present application at least discloses the following beneficial effects:

[0027] The acupoint intelligent recognition module of the device of the application can accurately recognize facial acupoints and generate acupoint positioning information by using an image acquisition unit and a deep learning model; the design of multiple air bags and controllable air flow channels of the device enables flexible implementation of various physiotherapy modes, whether it is local acupoint massage or overall facial physiotherapy, which can be easily achieved through a pre-set program. The application realizes the intelligentization and personalization of facial physiotherapy through accurate acupoint positioning, personalized physiotherapy programs and real-time pressure monitoring and adjustment, significantly improves the physiotherapy effect and user experience, and solves the problem of poor physiotherapy effect caused by inaccurate acupoint positioning of traditional devices. BRIEF DESCRIPTION OF DRAWINGS

[0028] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the drawings needed to be used in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0029] Figure 1 It is a structural schematic diagram of the intelligent facial physiotherapy device of the application.

[0030] Figure 2 It is a local enlarged view of the air bag on the flexible mask in the application.

[0031] Figure 3 It is a flowchart of facial acupoint recognition in the application.

[0032] Figure 4 It is a data transmission diagram of the deep learning model in the application.

[0033] Figure 5 It is a flowchart of the use method of the intelligent facial physiotherapy device of the application.

[0034] In the figure: 1, flexible mask; 2, air bag; 3, camera; 4, controller; 5, display screen; 6, function control key; 7, gas storage tank; 8, gas supply pipe; 9, air flow regulating valve; 10, air bag cavity; 11, massage protrusion; 12, micro pressure sensor; 13, heating layer; 14, heating wire; 15, temperature sensor; 16, air inlet; 17, air outlet; 18, air flow channel; 19, data transmission line; 20, electromagnetic valve. DETAILED DESCRIPTION

[0035] With reference to the accompanying drawings, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all the other embodiments obtained by those ordinarily skilled in the art without creative effort belong to the scope of the present application.

[0036] In order to make the above objectives, characteristics and advantages of the present application more apparent, the present application will be described in further detail below with reference to the accompanying drawings and specific embodiments.

[0037] Embodiment 1

[0038] As shown in Figure 1 and Figure 2 Embodiment 1 of the present application provides an intelligent facial physiotherapy device, which comprises a flexible mask 1, an acupoint intelligent recognition module, a controller 4 and a gas supply device. The flexible mask 1 is based on the shape of a human face, and its shape can adapt to the contour of a human face. A plurality of air bags 2 are provided on the flexible mask 1 for massaging and physiotherapy of facial acupoints. Each air bag 2 comprises an air bag cavity 10, which has an air inlet 16 and an air outlet 17, and an electromagnetic valve 20 is arranged at the air inlet 16 and the air outlet 17 to control the flow of air. A micro pressure sensor 12 is arranged in the air bag cavity 10. The air bag 2 is connected to the gas supply device through an air flow channel 18, and the air supply and exhaust of the air bag cavity 10 of each air bag 2 are controlled by an electromagnetic valve 20. The controller 4 is signal connected with the acupoint recognition module, the electromagnetic valve 20, the micro pressure sensor 12 and the gas supply device. According to the acupoint signal transmitted by the acupoint recognition module, the controller 4 controls the gas supply device to supply and exhaust air to the corresponding air bag 2 through the electromagnetic valve 20, and adjusts the air supply amount in combination with the pressure information fed back by the micro pressure sensor 12.

[0039] In this embodiment, the air bag 2 surface is provided with massage protrusions 11, which can massage the facial acupoints when the air bag 2 inflates. By setting massage protrusions 11 on the surface of the air bag 2, more effective massage and physiotherapy can be performed on the facial acupoints when the air bag 2 inflates. This design enhances the physiotherapy effect of the device, not only stimulating the acupoints through air pressure, but also providing more direct massage through physical contact. Massage protrusions 11 can better simulate traditional manual massage, improving the accuracy and effectiveness of acupoint stimulation, thereby enhancing blood circulation and promoting facial skin metabolism. For example, the surface of the air bag 2 corresponding to important acupoints on the face, such as the temple and the Yintang, can be provided with circular or elliptical massage protrusions 11. When the air bag 2 inflates, these protrusions will protrude as the air bag 2 expands, forming a gentle but forceful press on the acupoints. By controlling the inflation and deflation of the air bag 2, a rhythmic stimulation similar to finger pressure massage can be achieved, accurately locating the acupoints and providing moderate massage intensity.

[0040] In one specific embodiment, the electromagnetic valve 20 is a two-position three-way electromagnetic valve, which includes a valve body, a valve core arranged in the valve body, and an electromagnet. The valve core is made of wear-resistant and corrosion-resistant materials such as stainless steel and engineering plastics. The electromagnet is composed of a coil and a core, which is the core component of the electromagnetic valve 20, responsible for generating a magnetic field to drive the valve core to move. The electromagnetic valve 20 of this embodiment can switch the valve core between two positions by controlling the on-off of the electromagnet, thereby changing the flow direction of the fluid to achieve the purpose of controlling the on-off or flow direction of the fluid.

[0041] Using a two-position three-way electromagnetic valve 20 as the valve of the air bag 2 can achieve more precise and flexible air flow control. The two-position three-way valve has two working positions and three interfaces, which can quickly switch between inflation, deflation and sealing states, thereby improving the accuracy and response speed of the air bag 2 pressure regulation. This design helps to achieve more precise acupoint pressure control and improve physiotherapy effect. In actual application, when a certain acupoint needs to be pressurized, the controller 4 can control the corresponding electromagnetic valve 20 to switch to the gas supply position through electrical signal, so that the gas flows from the gas tank 7 into the air bag 2. When pressure reduction or physiotherapy is needed, the electromagnetic valve 20 can quickly switch to the exhaust position, so that the gas in the air bag 2 is quickly exhausted. When maintaining a certain pressure, the electromagnetic valve 20 can switch to the sealing position to keep the air bag 2 pressure stable. This flexible control method enables the device to quickly and accurately adjust the air bag 2 pressure according to the physiotherapy needs of different acupoints.

[0042] In one specific embodiment, the air supply device includes an air tank 7, an air supply pipe 8 for connecting the air tank 7 and the flexible mask 1, and an air flow regulating valve 9 provided on the air supply pipe 8 to adjust the air flow. The controller 4 controls the air supply device to supply air to the specific air bag 2 through the electromagnetic valve 20 according to the physiotherapy program, and the micro pressure sensor 12 detects the pressure in the air bag 2 in real time and feeds back the pressure signal to the controller 4 through the data transmission line 19. The controller 4 adjusts the air supply according to the pressure feedback to ensure that each acupoint obtains appropriate pressure.

[0043] In one specific embodiment, the camera 3 is arranged above the controller 4 and can be freely adjusted in height and rotated at multiple angles. The camera 3 is used to collect facial image data of the user from multiple angles to provide data support for acupoint recognition and to generate customized physiotherapy programs. In actual application, the user can adjust the height of the camera 3 according to his own height and sitting posture to ensure that the camera 3 maintains the best shooting distance from the face. For example, for users with higher height, the camera 3 can be adjusted higher; for users with lower height, the camera 3 can be adjusted lower. At the same time, the multi-angle rotation function of the camera 3 allows the collection of facial images from different angles. For example, the face can be shot from the front first, and then the camera 3 is slightly rotated to shoot the face from a 45-degree angle on the left and a 45-degree angle on the right, respectively. In this way, more comprehensive facial contour and feature information can be obtained, especially for some acupoints located on the side of the face, such as the temple, etc. Multi-angle shooting can provide more accurate positioning data.

[0044] In one specific embodiment, the controller 4 is connected to the flexible mask 1 through the data transmission line 19, and the personalized database is configured in the controller 4 to collect facial data of the user and store the skin state, health needs and physiological indicators of the user. By storing the skin state, health needs and physiological indicators of the user, the personalized database can provide more customized physiotherapy programs for each user. This comprehensive data collection and storage allows the device to take into account individual differences of the user, such as skin sensitivity, specific health problems or physiological cycles, etc., so as to develop more accurate and safe physiotherapy plans. Long-term use can also track changes in the user's skin state, continuously optimize physiotherapy programs and improve treatment effect. In addition, these data also provide valuable information basis for future product improvement and personalized medical and cosmetic services.

[0045] In practical applications, for example, for a user with mild acne problems, the database records the user's skin condition (such as oily, prone to acne), health needs (improve acne problems), and related physiological indicators (such as hormone levels). Based on this information, the system may generate a therapy program focusing on regulating oil secretion and improving blood circulation, focusing on acupoints such as Fengchi, Yingxiang, and other acupoints related to facial oil secretion and detoxification. At the same time, considering the sensitivity of the user's skin, the system will adjust the massage intensity and frequency accordingly to ensure the effectiveness of the therapy while not stimulating the skin to cause inflammation to worsen.

[0046] In one embodiment, the controller 4 is provided with a display screen 5 and function control keys 6 to facilitate the user to timely understand the status of their own face.

[0047] In one embodiment, the inner layer of the flexible mask 1 is provided with a heating layer 13, which has an electric heating wire 14 and a temperature sensor 15 inside. The heating layer 13 is located on the side of the air bag 2 away from the skin. In practical applications, the controller 4 can control the temperature of the heating layer 13 according to the user's set or preset therapy program. For example, when used in winter, the heating function can be started first to preheat the mask to an appropriate temperature (such as 38-40℃), and then start the acupoint massage. The temperature sensor 15 monitors the temperature of the heating layer 13 in real time to ensure that the temperature remains within a safe and comfortable range. During the massage process, the continuous warmth can increase blood circulation in the face, making the skin more easily absorb skincare products, and the hot compress effect can also relieve facial muscle tension, improving the massage effect.

[0048] The heating layer 13 in the flexible mask 1 can provide a hot therapy effect while performing acupoint massage. The heating function can promote blood circulation in the face, increase skin metabolism, and help improve the condition of facial skin. Combined with the massage function, hot therapy can further relax facial muscles and enhance the therapy effect. In addition, hot therapy can also help open pores and promote the absorption of skincare products, improving the overall skincare effect.

[0049] In this embodiment, the acupoint intelligent recognition module includes an image acquisition unit and a deep learning model. As shown in Figure 3 and Figure 4 The working principle and process of the acupoint intelligent recognition module are as follows:

[0050] The image acquisition unit uses the camera 3 to acquire facial data. In order to improve the accuracy of subsequent recognition, the lighting conditions of the environment should be as uniform and stable as possible, avoiding direct strong light or shadows, and collecting facial images from multiple angles.

[0051] The deep learning model of the acupoint intelligent identification module is constructed based on a convolutional neural network algorithm, features of the collected facial data are extracted, and pre-processing of background removal and alignment is performed, and then input into the deep learning model for model training. The face data and facial acupoint coordinates are normalized before model training to speed up the model convergence speed and improve stability.

[0052] The convolutional neural network algorithm model is pre-processed, a large amount of face data is collected for model training, the difference between the predicted acupoint position and the real acupoint position is measured by the mean square error loss function, and the model parameters are adjusted by the algorithm, so that the model can accurately regress the collected facial data to the facial acupoint positioning.

[0053] wherein the prediction result of the model is The real label is y, and the calculation formula of the mean square error loss function is wherein n is the number of samples.

[0054] According to the facial data features, the facial acupoint intelligent identification includes:

[0055] (1) The image features of the facial data are convoluted layer by layer by the convolutional layer based on the convolutional neural network algorithm model;

[0056] (2) The output of the convolutional layer is sampled based on the pooling layer of the convolutional neural network algorithm model to reduce the data volume while retaining important feature information;

[0057] (3) The features extracted by the previous convolutional layer and the pooling layer are integrated based on the fully connected layer of the convolutional neural network algorithm model, and the acupoint coordinates are output.

[0058] wherein the convolutional layer performs convolution operation by sliding the convolution kernel on the input image to extract local features of the image, the convolution kernel is K, and the size is KxKxC in xC out ; wherein the size of the convolution kernel is KxK, the input channel number is C in , the output channel number is C out , the step is s, and the padding is p. The calculation formula of the output feature map Y of the convolution operation is as follows:

[0059] For the element y i，j，c of the i-th row, j-th column and c-th channel in the output feature map Y, there is:

[0060]

[0061] In the formula, x is an element of the input image X, k is an element of the convolution kernel K, and b c is the bias term of the c-th channel.

[0062] Among them, the pooling layer uses average pooling to sample the output of the convolutional layer, reduces the amount of data, and at the same time preserves important information. In a KxK pooling window, the average value of all elements is calculated as the output. The input feature map is Y, the pooling window size is KxK, the step is s, and the output feature map is Z. For the element z i，j , we have:

[0063]

[0064] Among them, the fully connected layer integrates the features extracted by the previous convolutional layer and pooling layer, maps the features to the final output space through a series of linear transformations and nonlinear activation functions, and outputs the final prediction result.

[0065] Before inputting the feature map Z into the fully connected layer, the feature map needs to be flattened, that is, the multi-dimensional feature map is converted into a one-dimensional vector.

[0066] For the input one-dimensional vector, the fully connected layer will calculate through matrix multiplication and bias addition. Let the weight matrix of the fully connected layer be W, the bias vector be b, and the input vector be q. The output P of the fully connected layer can be calculated by the formula P = f(Wx + b), where f is the activation function.

[0067] After obtaining the model output, the reverse normalization operation needs to be performed to restore the coordinate value to the original image, so as to accurately locate the facial acupoint.

[0068] The personalized database collects facial data of the user, and stores the skin state, health needs and physiological indicators of the user. Through the collected data and the characteristics of the facial acupoints of traditional Chinese medicine, a customized physiotherapy scheme is generated.

[0069] Embodiment 2

[0070] As shown in Figure 5 , the embodiment 2 of the present application provides a use method of an intelligent facial physiotherapy device, which is applied to the intelligent facial physiotherapy device described in any of the above embodiments. The use method comprises the following steps:

[0071] Step S1, acquiring a user facial image through an acupoint recognition module, recognizing facial acupoints, generating acupoint information, and transmitting the acupoint information to a controller 4;

[0072] Step S2, the controller 4 controls the air supply device to inflate the corresponding air bag 2 through the electromagnetic valve 20 according to the acupoint information;

[0073] Step S3, the micro pressure sensor 12 detects the pressure in the air bag cavity 10 in real time, and feeds back the pressure information to the controller 4;

[0074] Step S4, the controller 4 adjusts the air supply amount of the air supply device according to the pressure information to realize precise pressure therapy on different acupoints;

[0075] Step S5, when the therapy ends or the pressure needs to be adjusted, the controller 4 controls the electromagnetic valve 20 to open, and the gas in the air bag 2 is discharged.

[0076] Among them, in step S2, the controller 4 can control different air bags 2 to inflate according to a specific order and time interval according to the preset therapy program, so as to realize the switching of multiple therapy modes.

[0077] The intelligent facial therapy equipment and its use method realize the precision, personalization and intelligence of facial therapy through innovative technical means. Its core advantage lies in precise acupoint positioning and personalized therapy scheme. The device uses a deep learning model and a multi-angle camera to collect user facial images, accurately identifies facial acupoints and generates positioning information. The controller accurately controls the inflation of the air bag on the flexible mask according to this information, and adjusts in real time with the feedback of the micro pressure sensor, ensuring that each acupoint receives appropriate pressure, significantly improving the accuracy and effectiveness of therapy. At the same time, the personalized database of the device stores the facial data, skin state and physiological indicators of the user, and can generate customized therapy programs to meet the individual needs of different users. In addition, the design of multiple air bags and controllable air flow channels on the device enables it to flexibly realize multiple therapy modes, whether it is local acupoint massage or overall facial therapy, it can be easily realized through the preset program. The massage protrusions on the surface of the air bag and the heating layer inside the flexible mask further enhance the therapy effect and promote facial blood circulation and skin metabolism. In terms of safety, the device monitors the air bag pressure in real time through the micro pressure sensor and feeds back to the controller for adjustment to prevent excessive pressure from causing harm to the user. At the same time, the exhaust channel ensures that the gas can be discharged in time when the therapy ends or the pressure is abnormal, ensuring the safety of the device. The display screen and function control keys of the controller enable users to understand the therapy status in real time and make personalized operations, improving the ease of use and user experience of the device. In summary, the present application realizes the intelligence and personalization of facial therapy through precise acupoint positioning, personalized therapy scheme, multifunctional massage and heat therapy, real-time pressure monitoring and adjustment, and safe exhaust mechanism, significantly improves the therapy effect and user experience, and has important practical significance and broad application prospect.

[0078] In the description of the present application, it needs to be understood that the terms "longitudinal", "transverse", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship shown in the drawings, which are only for the convenience of describing the present application, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0079] The above-described embodiments are only to describe the preferred modes of the present application, and not to limit the scope of the present application. Without departing from the design spirit of the present application, various modifications and improvements to the technical solutions of the present application made by those skilled in the art shall fall within the protection scope determined by the claims of the present application.

Claims

1. An intelligent facial therapy device, characterized in that, include: A flexible face mask (1) has several airbags (2) on its surface. The airbags (2) include an airbag cavity (10), an air inlet (16), an air outlet (17), and a solenoid valve (20) for controlling the airflow. The acupoint intelligent recognition module includes an image acquisition unit and a deep learning model, which is used to identify facial acupoints and generate acupoint location information; The air supply device includes an air tank (7), an air supply pipe (8) and an airflow regulating valve (9), which is used to inflate or deflate the airbag (2) through a solenoid valve (20); The controller (4) is connected to the acupoint intelligent recognition module, the solenoid valve (20) and the air supply device, and is used to control the inflation and deflation of the airbag (2) and the pressure adjustment according to the acupoint positioning information.

2. The intelligent facial therapy device according to claim 1, characterized in that, The surface of the airbag (2) is provided with massage protrusions (11) to enhance the acupoint massage effect when inflated.

3. The intelligent facial therapy device according to claim 1 or 2, characterized in that, At least one miniature pressure sensor (12) is provided in the airbag cavity (10). The miniature pressure sensor (12) is connected to the controller (4) and provides real-time feedback of pressure signals to the controller (4) to achieve precise physiotherapy.

4. The intelligent facial therapy device according to claim 1, characterized in that, The solenoid valve (20) is a two-position three-way solenoid valve.

5. The intelligent facial therapy device according to claim 1, characterized in that, The flexible mask (1) has a heating layer (13), which includes a heating wire (14) and a temperature sensor (15).

6. The intelligent facial therapy device according to claim 1, characterized in that, The controller (4) is equipped with a personalized database for storing user facial data, skin condition and physiological indicators, and generating customized physiotherapy plans based on the stored data.

7. The intelligent facial therapy device according to claim 1 or 6, characterized in that, The controller (4) includes a display screen (5) and function control keys (6) for displaying the physiotherapy status and receiving user commands.

8. The intelligent facial therapy device according to claim 1, characterized in that, The image acquisition unit includes at least one multi-angle adjustable camera (3) for acquiring facial images.

9. The intelligent facial therapy device according to claim 1 or 8, characterized in that, The deep learning model is built based on the convolutional neural network algorithm to extract features from the collected facial data.

10. A method of using an intelligent facial therapy device, characterized in that, The method of using the intelligent facial therapy device according to any one of claims 1 to 7 includes the following steps: Step S1: Collect the user's facial image through the acupoint recognition module, identify acupoints and generate acupoint information; Step S2: The controller (4) controls the air supply device to inflate the corresponding airbag (2) according to the acupoint information; Step S3: Monitor the pressure inside the airbag (2) in real time and feed the pressure information back to the controller (4); Step S4: The controller (4) dynamically adjusts the air supply based on feedback to achieve precise pressure therapy; Step S5: After the physiotherapy is completed, the controller (4) controls the solenoid valve (20) to release the air pressure in the airbag (2).

Images