A control system of a rotating light-emitting mirror with face recognition

Abstract

The present application relates to the technical field of intelligent control of light-emitting mirrors, and discloses a control system of a rotating light-emitting mirror with face recognition, comprising an induction recognition module, a data analysis module, a mirror surface control module and a light-emitting mirror. The system collects data sets through the induction recognition module, and a face analysis unit calculates and generates a rotating data set Xzsj. The system automatically matches by default with the image center point of the nose as the target height, a brightness analysis unit calculates and generates a brightness data set Ldsj, and the system automatically adjusts by default with the standard value as the final light intensity. The system intelligently matches the user's line of sight focus, an instruction analysis unit generates an execution data set Zxsj according to the corresponding voice data set, the mirror surface control module controls the opening of the rotating motor and the light adjustment module, and generates corresponding voice prompts. The voice control is more intelligent, has a wide range of flexible applications, and provides a better user experience.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent control of light-emitting mirrors, in particular to a control system of a rotating light-emitting mirror with face recognition. BACKGROUND

[0002] Smart home refers to a living space that realizes the interconnection and automatic management of household devices through intelligent technology. Based on the platform of residence, it integrates household facilities by using advanced computer technology, network communication technology, Internet of Things technology and automatic control technology, forming a high-efficiency, convenient, comfortable and safe management system. The smart home system is composed of multiple subsystems, including security system, light control system, curtain control system, information home appliance system, environmental monitoring system, etc. These subsystems are connected through the home network, which can realize remote control, automatic operation and voice control of devices. For example, through the mobile phone application, the security status of the home can be monitored at any time, the indoor temperature and light can be adjusted, and even the household appliances can be turned on or off remotely. This all-round information interaction and management not only improves the convenience and safety of living, but also realizes the goal of energy saving and environmental protection. Smart home is not only a technical product, but also represents a new way of life. Through smart home, people can enjoy a more convenient, comfortable and safe life experience. Smart home integrates various advanced technologies to realize intelligent management and control of household devices, greatly improving the quality of life. With the continuous progress of technology and the gradual maturity of the market, smart home will have a broader development prospect.

[0003] At present, the traditional smart home function can only realize the control of light-emitting mirror light, and the simple lighting service cannot meet the user's demand for magnifying facial details. In addition, in the actual use process, the installation position of the plane mirror and the magnifying glass is fixed, and it cannot automatically match different user heights, the intelligent control level is not high, the application range has limitations, and the user experience is poor. SUMMARY

[0004] Technical problems solved

[0005] In view of the defects of the prior art, the present application provides a control system of a rotating light-emitting mirror with face recognition, which has the advantages of intelligent matching of user visual focus, flexible application range, better user experience, etc., and solves the problems of low intelligent control level, limited application range and poor user experience.

[0006] Technical scheme

[0007] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: a control system for a rotating luminous mirror capable of facial recognition, comprising a luminous mirror, wherein a biometric identification device, a photosensor, a voice recognition device, and a rotating motor are fixedly mounted on the luminous mirror at the middle end of the back of the luminous mirror; a light adjustment module and a magnifying glass are also fixedly mounted on the surface of the luminous mirror; the rotating motor is used to drive the luminous mirror to perform circular motion about the center point of the mirror surface; when the luminous mirror rotates in a circular motion, the magnifying glass also performs a synchronous circular motion; and a sensing recognition module, a data analysis module, and a mirror control module are fixedly mounted inside the luminous mirror;

[0008] The sensing recognition module includes a face recognition unit, an environment recognition unit and a voice recognition unit. The face recognition unit is connected to a biometric recognition device via a network to collect a face data set, and the face data set includes facial image data of all users. The environment recognition unit is connected to a light-sensitive sensor via a network to collect an environment data set, and the environment data set includes the ambient light intensity at all time points. The voice recognition unit is connected to a voice recognizer via a network to collect a voice data set, and the voice data set includes all user commands collected by the voice recognizer. The sensing recognition module transmits the face data set, the environment data set and the voice recognition data set to the data analysis module via the network.

[0009] The data analysis module includes a facial analysis unit, a brightness analysis unit and an instruction analysis unit. The facial analysis unit calculates and generates a rotation data group Xzsj based on the face data set, and transmits it to the brightness analysis unit through the network. The brightness analysis unit calculates and generates a brightness data group Ldsj based on the environment data set, and transmits it to the instruction analysis unit through the network. The instruction analysis unit calculates and generates an execution data group Zxsj based on the rotation data group Xzsj, the brightness data group Ldsj and the instruction data set. The data analysis module transmits the rotation data group Xzsj, the brightness data group Ldsj and the execution data group Zxsj to the mirror control module through the network;

[0010] The mirror control module controls the turning on of the rotating motor and the light adjustment module according to the execution data group Zxsj, generates corresponding voice prompts, and then outputs the voice prompts through the voice recognizer.

[0011] Preferably, the expression of the face data set is {R1, R2, R3, ..., R n}, R1 to R n The facial image data corresponding to each user in turn includes eye images, nose images, and mouth images. The subscripts 1 to n indicate that there are n groups of user facial image data collected by the biometric recognition device.

[0012] Preferably, the expression of the environmental data set is to The ambient light intensity at each time point corresponds in sequence. The light intensity includes the brightness value and color temperature value of the ambient light. t represents the time point when the light mirror is working. The subscripts 1 to n represent the n times of ambient light intensity collected by the photosensitive sensor when the light mirror is working.

[0013] Preferably, the expression of the speech data set is {Y1, Y2, Y3, ..., Y n}, Y1 to Y n The subscripts 1 to n correspond to the user instructions collected by the speech recognizer each time, and the user instructions include instruction keywords. The subscripts 1 to n indicate that the speech recognizer has collected n user instructions.

[0014] Preferably, the calculation process of the rotation data set Xzsj is as follows:

[0015] According to the face dataset, the facial image data of a single user is counted and recorded as DR, where DR∈{R1, R2, R3, ..., R n}, DR = {DR y , DR b , DR z}, DR y Represents the eye image of a single user, DR b Represents the nose image of a single user, DR z A mouth image representing a single user;

[0016] Set the center point of the light mirror as the origin O(0, 0), and establish a two-dimensional rectangular coordinate system. Set the rectangular coordinates of the initial position of the center point of the magnifying mirror to (h, i), where h represents the vertical distance from the center point of the magnifying mirror to the x-axis of the two-dimensional rectangular coordinate system, and i represents the vertical distance from the center point of the magnifying mirror to the y-axis of the two-dimensional rectangular coordinate system. Set the nose image DR of a single user b The center point is P(P x , P y ), where P x Represents the nose image DR of a single user b The vertical distance from the center point to the x-axis of the two-dimensional rectangular coordinate system, P y Represents the nose image DR of a single user b The vertical distance from the center point to the y-axis of the two-dimensional rectangular coordinate system;

[0017]

[0018] In the formula, Xzsj represents the rotation data set, r represents the radius of the magnifying glass center point when it moves in a circle around the origin O, t represents the time vector, and y(t) = P yThe vertical distance from the center point in the circular motion track of the constraint magnifying glass to the y-axis of the two-dimensional rectangular coordinate system to the nose image DR of a single user b The vertical distance from the center point to the y-axis of the two-dimensional rectangular coordinate system is equal, x(t) represents the parametric equation of the circular motion track of the magnifying glass center point on the x-axis, y(t) represents the parametric equation of the circular motion track of the magnifying glass center point on the y-axis, and θ represents the polar angle, i.e. the angle parameter when the magnifying glass center point performs circular motion with the origin O.

[0019] Preferably, the luminance data set Ldsj is calculated according to the following formula:

[0020]

[0021] In the formula, Ldsj represents the luminance data set, BZL represents the standard luminance value, represents the ambient light intensity at the i-th time point in the environmental data set, represents the difference between the standard luminance value and the ambient light luminance value at the i-th time point, and BZW represents the standard color temperature value, represents the difference between the standard color temperature value and the ambient light color temperature value at the i-th time point.

[0022] Preferably, the execution data set Zxsj is calculated according to the following procedure:

[0023]

[0024] In the formula, Zxsj represents the execution data set, Y k represents the keyword of the k-th user instruction in the voice data set, k Xzsj represents the rotation data set Xzsj constrained according to the keyword of the k-th user instruction, Y k Ldsj represents the luminance data set Ldsj constrained according to the keyword of the k-th user instruction, and if Y k there is data in Y k Xzsj+Y k Ldsj represents the rotation data set Xzsj and the luminance data set Ldsj constrained according to the keyword of the k-th user instruction, and the constrained rotation data set Xzsj and the luminance data set Ldsj constitute the execution data set, and if Y k there is no data in Y

[0025] Preferably, when there is data in the voice data set, the keyword Y k≠0, the mirror control module controls the rotation motor and the light adjustment module according to the constrained rotation data group Xzsj and the brightness data group Ldsj, rotates the light mirror and the magnifying glass, and adjusts the light brightness value and color temperature value.

[0026] Preferably, when there is no data in the voice data set, the keyword Y of the kth user instruction in the voice data set is k =0, the mirror control module controls the rotation motor and the light adjustment module according to the calculated rotation data group Xzsj and brightness data group Ldsj, rotates the light mirror and the magnifying glass, and adjusts the light brightness value and color temperature value.

[0027] Preferably, when the mirror control module controls to start the rotating motor, a voice prompt for starting rotation is generated; when the mirror control module controls to start the light adjustment module, a voice prompt for starting dimming is generated; both the voice prompt for starting rotation and the voice prompt for starting dimming are output as voice prompts through the voice recognizer.

[0028] Compared with the prior art, the present invention provides a control system for a rotating luminous mirror with face recognition, which has the following beneficial effects:

[0029] 1. The present invention has a biometric recognition device, a photosensor, a voice recognizer and a rotating motor fixedly installed inside the light-emitting mirror, and a light adjustment module and a magnifying glass fixedly installed on the surface of the light-emitting mirror. The rotating motor drives the light-emitting mirror to perform circular motion around the center point of the light-emitting mirror surface, while the magnifying glass synchronously performs circular motion around the center point of the light-emitting mirror surface as the center of the circle. The diameter of the light-emitting mirror surface is much larger than the diameter of the magnifying glass surface, and the magnifying glass is close to the edge of the light-emitting mirror surface. The sensing recognition module is connected to the biometric recognition device, the photosensor and the voice recognizer through a network to classify and collect data. The data analysis module is provided with a facial analysis unit, a brightness analysis unit and an instruction analysis unit. The facial analysis unit calculates and generates a rotation data group Xzsj, and automatically matches the target height with the center point of the nose image by default, so that the center point of the subsequent rotation magnifying glass is flush with the height of the user's line of sight focus. The brightness analysis unit calculates and generates a brightness data group Ldsj, and automatically adjusts the final light intensity with the standard brightness value of 500lux and the standard color temperature value of 4500K by default to ensure sufficient brightness and normal color temperature, intelligently match the user's line of sight focus, and facilitate the user to see facial details clearly.

[0030] 2、The application generates execution data group Zxsj according to the voice data set through the instruction analysis unit, when the key word of the user instruction exists in the voice data set, the mirror surface control module rotates the light emitting mirror and the magnifying glass according to the user instruction, adjusts the light brightness value and the color temperature value, and then closes the rotating motor and the light adjustment module, so as to facilitate the user to directly control the light emitting mirror through the voice, when the key word of the user instruction does not exist in the voice data set, the mirror surface control module controls to open the rotating motor and the light adjustment module according to the default standard, generates the corresponding voice prompt, and then outputs the voice prompt through the voice recognizer, the voice control is more intelligent, the voice prompt is safer, can effectively remind the user to avoid pinching the fingers, is flexible, has wide application range, and has better user experience. BRIEF DESCRIPTION OF DRAWINGS

[0031] Figure 1 It is a system flow diagram of the application.

[0032] Figure 2 It is an embodiment diagram of the rotating light emitting mirror with face recognition.

[0033] Figure 3 It is an embodiment diagram of a rotating light emitting mirror with face recognition at an angle.

[0034] Figure 4 It is an embodiment diagram of a rotating light emitting mirror with face recognition at another angle. DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the application.

[0036] Please refer to Figures 1-4 A control system of a rotating light emitting mirror with face recognition, comprising a light emitting mirror, the light emitting mirror is fixedly installed with a biometric identification device, a photosensitive sensor, a voice recognizer and a rotating motor installed at the middle end of the back of the light emitting mirror, the surface of the light emitting mirror is also fixedly installed with a light adjustment module and a magnifying glass, so as to facilitate the user to manually operate and adjust the light brightness and color temperature, the rotating motor is used to drive the light emitting mirror to make a circular motion with the center point of the light emitting mirror as the center, when the light emitting mirror rotates in a circular motion, the magnifying glass synchronously rotates in a circular motion, the diameter of the light emitting mirror is much larger than the diameter of the magnifying glass, and the magnifying glass is arranged at a position close to the edge of the light emitting mirror, the shapes of the light emitting mirror and the magnifying glass can be set as any shape such as a circle, a rhombus or an ellipse, the light emitting mirror is fixedly installed with a sensing identification module, a data analysis module and a mirror surface control module;

[0037] The sensing recognition module includes a face recognition unit, an environment recognition unit, and a voice recognition unit. The face recognition unit collects a face data set through a network connection to a biometric recognition device. The face data set includes facial image data of all users. The expression of the face data set is {R1, R2, R3, ..., R n}, R1 to R n The facial image data corresponding to each user in turn includes eye images, nose images, and mouth images. The subscripts 1 to n indicate that there are n sets of user facial image data collected by the biometric recognition device. This accurately captures and locates the user's gaze focus, and obtains the user's height and skin color information, facilitating subsequent analysis and matching of mirror lighting services with corresponding height and brightness.

[0038] The environment recognition unit collects the environment data set through the network connection photosensitive sensor. The environment data set includes the ambient light intensity at all time points. The expression of the environment data set is: to The ambient light intensity corresponding to each time point in sequence, the light intensity includes the brightness value and color temperature value of the ambient light, t represents the time point when the light-emitting mirror is working, for example, whenever the biometric recognition device collects the user's facial image data, it indicates that the light-emitting mirror starts to work, and the photosensor synchronously collects the ambient light intensity. The light-emitting mirror has multiple working modes, including but not limited to constant light mode, timing mode and sleep mode. In constant light mode, the photosensor collects the ambient light intensity once every 10 minutes, in timing mode, the photosensor collects the ambient light intensity regularly according to the working time preset by the user, and in sleep mode, the photosensor and the biometric recognition device collect the ambient light intensity synchronously, and the subscripts 1 to n represent the number of times the ambient light intensity is collected by the photosensor when the light-emitting mirror is working;

[0039] The speech recognition unit is connected to the speech recognizer through the network to collect the speech data set. The speech data set includes all the user commands collected by the speech recognizer. The expression of the speech data set is {Y1, Y2, Y3, ..., Y n}, Y1 to Y n The user commands collected by the voice recognizer each time are sequentially displayed. The user commands include command keywords, such as "rotate the magnifying glass to my right side", "adjust the warm light", "turn on the light", etc. The subscripts 1 to n indicate that the voice recognizer has collected n user commands. This facilitates the subsequent rotation of the light-emitting mirror and the magnifying glass according to the user command so that they are aligned with the center of the user's eyes, nose or mouth. It also facilitates the subsequent control of the light adjustment module to adjust the brightness and color temperature according to the user command.

[0040] The sensing and recognition module transmits the face data set, the environment data set, and the speech recognition data set to the data analysis module through the network;

[0041] The data analysis module comprises a face analysis unit, a brightness analysis unit and an instruction analysis unit. The face analysis unit calculates a rotation data set Xzsj according to a face data set and transmits the rotation data set to the brightness analysis unit through a network. The calculation process is as follows:

[0042] According to the face data set, the facial image data of a single user is counted and recorded as DR, wherein DR∈{R1, R2, R3,..., R n} and DR y , DR b , DR z} and DR y represents the eye image of a single user, DR b represents the nose image of a single user, and DR z represents the mouth image of a single user. The line of sight focus of the user is accurately captured and positioned, and the height and skin color information of the user are obtained.

[0043] The center point of the light-emitting mirror is set as the origin O(0, 0), and a two-dimensional rectangular coordinate system is established. The two-dimensional rectangular coordinate system comprises four quadrants, and the origin O is also the center point of the rotation of the light-emitting mirror. The rectangular coordinates of the initial position of the center point of the magnifying mirror are set as (h, i), wherein h represents the vertical distance of the center point of the magnifying mirror to the x-axis of the two-dimensional rectangular coordinate system, and i represents the vertical distance of the center point of the magnifying mirror to the y-axis of the two-dimensional rectangular coordinate system. The vertical distances can be 0, positive or negative. The center point of the nose image DR b of a single user is set as P(P x , P y ). When the light-emitting mirror automatically matches the height, the center point of the nose image is used as the target height by default, wherein P x represents the vertical distance of the center point of the nose image DR b of a single user to the x-axis of the two-dimensional rectangular coordinate system, and P y represents the vertical distance of the center point of the nose image DR b of a single user to the y-axis of the two-dimensional rectangular coordinate system. The vertical distances can be 0, positive or negative.

[0044]

[0045] In the formula, Xzsj represents the rotation data set, r represents the radius of the circular motion of the center point of the magnifying mirror with respect to the origin O, t represents the time vector, y(t) = P y represents the vertical distance of the center point in the circular motion track of the magnifying mirror to the y-axis of the two-dimensional rectangular coordinate system, and DR bThe vertical distance of the center point to the y-axis of the two-dimensional rectangular coordinate system is equal, x(t) represents the parametric equation of the circular motion trajectory of the center point of the magnifying glass on the x-axis, y(t) represents the parametric equation of the circular motion trajectory of the center point of the magnifying glass on the y-axis, θ represents the polar angle, that is, the angle parameter when the center point of the magnifying glass performs circular motion around the origin O, according to the rotation data set Xzsj, the center point of the nose image is matched as the target height by default, which is convenient for subsequent rotation of the center point of the magnifying glass and the height of the user's visual focus to be flush;

[0046] The luminance analysis unit calculates the luminance data set Ldsj according to the environmental data set, and transmits it to the instruction analysis unit through the network, and the calculation formula is as follows:

[0047]

[0048] In the formula, Ldsj represents the luminance data set, BZL represents the standard luminance value, the standard luminance value is 500 lux, represents the environmental light intensity at the i-th time point in the environmental data set, represents the difference between the standard luminance value and the environmental light luminance value at the i-th time point, BZW represents the standard color temperature value, the standard color temperature value includes the warm light standard value, the natural light standard value and the white light standard value, the warm light standard value is 3000K, the natural light standard value is 4500K, and the white light standard value is 6000K, and the light-emitting mirror is matched by default. The natural light standard value of 4500K is used as the standard color temperature value, represents the difference between the standard color temperature value and the environmental light color temperature value at the i-th time point, according to the luminance data set Ldsj, the standard luminance value of 500 lux and the standard color temperature value of 4500K are used as the final light intensity for automatic adjustment, which ensures sufficient brightness and normal color temperature, and intelligently matches the user's visual focus, so that the user can clearly see the facial details;

[0049] The instruction analysis unit calculates the execution data set Zxsj according to the rotation data set Xzsj, the luminance data set Ldsj and the instruction data set, and the calculation process is as follows:

[0050]

[0051] In the formula, Zxsj represents the execution data set, Y k represents the keyword of the k-th user instruction in the voice data set, Y k Xzsj represents the rotation data set Xzsj constrained according to the keyword of the k-th user instruction, Y k Ldsj represents the luminance data set Ldsj constrained according to the keyword of the k-th user instruction, if Y k there is data in the formula, Y k Xzsj+Y kLdsj represents rotating the data set Xzsj and the brightness data set Ldsj according to the keyword of the kth user instruction, the constrained rotating data set Xzsj and the brightness data set Ldsj form an execution data set, which is convenient for calculating the magnifying glass rotation angle, light brightness and light color temperature according to the user instruction, and if Y k When there is no data in the voice data set, Xzsj+Ldsj represents that the rotating data set Xzsj and the brightness data set Ldsj generated by calculation form an execution data set, which is convenient for subsequent adjustment of the magnifying glass rotation angle, light brightness and light color temperature according to the default standard, and the intelligent control level is higher;

[0052] The data analysis module transmits the rotating data set Xzsj, the brightness data set Ldsj and the execution data set Zxsj to the mirror control module through the network;

[0053] When there is data in the voice data set, the keyword Y k ≠0 in the kth user instruction in the voice data set, the mirror control module controls to start the rotating motor and the light adjustment module according to the constrained rotating data set Xzsj and the brightness data set Ldsj, rotates the light-emitting mirror and the magnifying glass and adjusts the light brightness value and the color temperature value according to the user instruction, and then closes the rotating motor and the light adjustment module, which is convenient for the user to directly control the light-emitting mirror through voice;

[0054] When there is no data in the voice data set, the keyword Y k =0 in the kth user instruction in the voice data set, the mirror control module controls to start the rotating motor and the light adjustment module according to the rotating data set Xzsj and the brightness data set Ldsj generated by calculation, rotates the light-emitting mirror and the magnifying glass and adjusts the light brightness value and the color temperature value according to the default standard, and then closes the rotating motor and the light adjustment module;

[0055] When the mirror control module controls to start the rotating motor, a start rotating voice prompt is generated, and when the mirror control module controls to start the light adjustment module, a start light adjusting voice prompt is generated. The start rotating voice prompt and the start light adjusting voice prompt are both output through the voice recognizer, which is higher in voice control intelligence, higher in voice prompt safety, can effectively remind the user to avoid pinching the fingers, is widely applicable, and has better user experience.

[0056] The computer program product of the present disclosure can be a computer program embodied on a non-transitory computer readable medium. When the program runs on a computer, the program causes the computer to execute functions of the embodiments of the present disclosure. The computer program can be written in any form of programming code, including object oriented programming (OOP) languages, and conventional procedural programming languages. The program can he stored on a computer readable medium, such as a floppy disk, a CD-ROM, and a compact flash disk, or the like. The computer program can also be stored in the ROM, the RAM, or the like, of a computer.

[0057] The units described in some embodiments of the present disclosure can be implemented by software, or can be implemented by hardware. The described units can also be disposed in a processor, and the functions described above in the present disclosure can be executed at least in part by one or more hardware logic components.

[0058] Although the embodiments of the present disclosure have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, alternatives, and variations can be made thereto without departing from the principles and spirit of the present disclosure, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A control system for a rotating luminous mirror capable of facial recognition, comprising a luminous mirror fixedly mounted with a biometric identification device, a photosensor, a voice recognizer, and a rotating motor mounted at the middle of the back of the luminous mirror. Furthermore, a light adjustment module and a magnifying glass are fixedly mounted on the surface of the luminous mirror. The rotating motor is used to drive the luminous mirror to perform circular motion about the center of the mirror surface. When the luminous mirror rotates in a circular motion, the magnifying glass also performs a synchronous circular motion. The control system is characterized by: The light-emitting mirror is internally fixed with a sensing and recognition module, a data analysis module, and a mirror control module; The sensing recognition module includes a face recognition unit, an environment recognition unit and a voice recognition unit. The face recognition unit is connected to a biometric recognition device via a network to collect a face data set, and the face data set includes facial image data of all users. The environment recognition unit is connected to a light-sensitive sensor via a network to collect an environment data set, and the environment data set includes the ambient light intensity at all time points. The voice recognition unit is connected to a voice recognizer via a network to collect a voice data set, and the voice data set includes all user commands collected by the voice recognizer. The sensing recognition module transmits the face data set, the environment data set and the voice recognition data set to the data analysis module via the network. The data analysis module includes a facial analysis unit, a brightness analysis unit and an instruction analysis unit. The facial analysis unit generates a rotation data set based on the face data set. and transmitted to the brightness analysis unit through the network, the brightness analysis unit generates a brightness data set based on the environmental data set. and transmitted to the instruction analysis unit through the network, and the instruction analysis unit performs the rotation data group , brightness data group and instruction data sets, calculate and generate execution data sets The data analysis module transforms the rotation data group into , brightness data group and execution data group Transmit to the mirror control module; The mirror control module executes the data set according to Control the rotation motor and light adjustment module, generate corresponding voice prompts, and then output the voice prompts through the voice recognizer; The expression of the face dataset is , to The facial image data of each user is sequentially corresponded. The facial image data includes eye image, nose image, mouth image, subscript 1 to Indicates that the user's facial image data collected by the biometric device has Group; The rotation data set The calculation process is as follows: According to the face dataset, the facial image data of a single user is counted and recorded as ,in, , , represents the eye image of a single user, represents the nose image of a single user, A mouth image representing a single user; Set the center point of the light mirror as the origin (0, ), and establish a two-dimensional rectangular coordinate system, set the rectangular coordinates of the initial position of the center point of the magnifying glass mirror to ( , ),in, Represents the center point of the magnifying glass to the two-dimensional rectangular coordinate system The vertical distance of the axis, Represents the center point of the magnifying glass to the two-dimensional rectangular coordinate system The vertical distance of the axis, set the nose image of a single user The center point is ( , ),in, Represents a single user's nose image Center point to 2D rectangular coordinate system The vertical distance of the axis, Represents a single user's nose image Center point to 2D rectangular coordinate system The vertical distance of the axis; In the formula, represents the rotation data set, Indicates that the center point of the magnifying glass is the origin The radius of circular motion, represents the time vector, Represents the center point of the circular motion trajectory of the constrained magnifying glass to a two-dimensional rectangular coordinate system The vertical distance between the axis and the nose image of a single user Center point to 2D rectangular coordinate system The vertical distances of the axes are equal, The circular motion trajectory of the center point of the magnifying glass is Parametric equations on the axes, The circular motion trajectory of the center point of the magnifying glass is Parametric equations on the axes, Indicates the polar angle, which is the angle between the center of the magnifying glass and the origin Angle parameter when performing circular motion.

2. The control system of the rotating light-emitting mirror with face recognition according to claim 1, characterized in that: The expression of the environmental dataset is , to The ambient light intensity at each time point corresponds to the ambient light intensity, which includes the brightness value and color temperature value of the ambient light. Indicates the time point when the light mirror is working, subscript 1 to It means that when the luminous mirror is working, the ambient light intensity collected by the photosensitive sensor is Second-rate.

3. The control system of the rotating light-emitting mirror with face recognition according to claim 2, characterized in that: The expression of the speech dataset is: , to The corresponding user commands collected by the speech recognizer each time are sequentially generated. The user commands include command keywords, with subscripts 1 to Indicates that the user commands collected by the speech recognizer are Second-rate.

4. The control system of the rotating light-emitting mirror with face recognition according to claim 3, characterized in that: The brightness data set The calculation formula is as follows: In the formula, represents the brightness data group, Indicates the standard brightness value, Indicates the environment dataset The ambient light intensity at a given time point, Indicates the standard brightness value and The difference in ambient light brightness at each time point, Indicates the standard color temperature value, Indicates the standard color temperature value and The difference in the color temperature of the ambient light at different time points.

5. The control system of the rotating light-emitting mirror with face recognition according to claim 4, characterized in that: The execution data set The calculation process is as follows: In the formula, Indicates the execution data group, Indicates the first Keywords of user commands, Indicates that according to Keyword constraints for user commands to rotate data sets , Indicates that according to A user-commanded keyword constrained brightness data set ,like When data exists in Indicates that according to Keyword constraints for user commands to rotate data sets and brightness data sets , constrained rotation data set and brightness data sets To form an execution data group, if When there is no data in Indicates the rotation data set generated according to the calculation and brightness data sets Form an execution data group.

6. The control system of the rotating light-emitting mirror with face recognition according to claim 5, characterized in that: When there is data in the voice data set, the first Keywords of user commands The mirror control module is based on the constrained rotation data set and brightness data sets Control to start the rotating motor and light adjustment module, rotate the light mirror and magnifying glass, and adjust the light brightness value and color temperature value.

7. The control system of the rotating light-emitting mirror with face recognition according to claim 6, characterized in that: When there is no data in the voice data set, Keywords of user commands The mirror control module generates a rotation data set based on the calculated rotation data set. and brightness data sets Control to start the rotating motor and light adjustment module, rotate the light mirror and magnifying glass, and adjust the light brightness value and color temperature value.

8. The control system of the rotating light-emitting mirror with face recognition according to claim 7, characterized in that: When the mirror control module controls to start the rotating motor, a voice prompt for starting rotation is generated. When the mirror control module controls to start the light adjustment module, a voice prompt for starting dimming is generated. Both the voice prompt for starting rotation and the voice prompt for starting dimming are output as voice prompts through the voice recognizer.

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