TWI830342B - Artificial intelligence guidance system for putting on and taking off protective clothing - Google Patents

Abstract

An artificial intelligence guidance system for putting on and taking off protective clothing includes an electronic mirror, a camera, a database and a control device. The electronic mirror includes a light-transmitting reflective surface and a display. The display is used to display images and the displayed images Through the light-transmitting reflective surface; the camera is used to shoot the user and generate a real-time image; the database stores a step model data and a guidance video data; the control device includes an artificial intelligence recognition module and is electrically connected to the display, Cameras and databases. During the process of putting on and taking off protective clothing, the user can be guided according to the corresponding step model data and guidance video data played by the electronic mirror, and the real-time image is recognized through the artificial intelligence recognition module, allowing the user to make real-time corrections and strengthen attention. Steps not actually performed.

Description

Artificial intelligence guidance system for putting on and taking off protective clothing

The present invention relates to putting on and taking off protective clothing; in particular, it refers to an artificial intelligence guidance system for putting on and taking off protective clothing.

According to the relevant specifications of the Department of Disease Control and Prevention of the Ministry of Health and Welfare on infection control in medical institutions, it recommends the order of putting on and taking off personal protective equipment (PPE). The main purpose is to reduce the possibility of self-contamination, which not only improves the ability of medical staff to care for patients. Its safety can also significantly reduce the incidence of nosocomial infections. Therefore, correctly putting on and taking off personal protective equipment is of critical importance for the protection of various infectious diseases.

In addition, especially during the process of removing personal protective equipment, there is a higher risk of self-infection to a certain extent. The greatest risk of infection may be related to incorrect removal of personal protective equipment by the user. Therefore, it is important for medical institutions to ensure that staff are familiar with how to use it correctly.

At present, medical institutions regularly provide education and training on donning and taking off personal protective equipment, which are presented and communicated in the form of text with pictures or recorded videos. In the actual process of putting on and taking off personal protective equipment, it lacks the immediacy of information transmission and interactivity with users, and its effect is therefore limited.

In view of this, the purpose of the present invention is to provide an artificial intelligence guidance system for putting on and taking off protective clothing, which can guide the user to put on and take off the protective clothing correctly when the user is putting on and taking off the protective clothing.

Another object of the present invention is to provide an artificial intelligence guidance system for putting on and taking off protective clothing by allowing users to know the putting on or taking off steps that have not been actually performed.

In order to achieve the above object, the present invention provides an artificial intelligence guidance system for donning and taking off protective clothing, which includes an electronic mirror, a camera, a database, and a control device; wherein the electronic mirror includes a light-transmitting reflective surface and a Display; the light-transmitting reflective surface is combined with the outside of the display; the light-transmitting reflective surface is used to reflect an image of a user; the display is used to display images and the displayed images are transmitted through the light-transmitting reflective surface; the camera is used To photograph the user and generate a real-time image; the database stores a step model data and a guidance video data. The step model data includes a plurality of dressing step characteristics and a plurality of removal step characteristics. The guidance video data includes There are a plurality of dressing guide videos and a plurality of take-off guide videos; the control device is electrically connected to the display, the camera and the database; the control device includes an artificial intelligence recognition module; the control device displays an operation on the display Interface, wherein the operation interface includes at least one dressing option and at least one take-off option for the user to select. When the user selects the at least one dressing option, the control device executes at least one dressing mode. When the user selects the at least one dressing option When disengaging the option, the control device executes at least one disengagement mode.

Wherein, the at least one dressing mode is that while the user is wearing protective clothing, the control device sequentially plays the dressing guidance videos of the guidance video data on the display, and the artificial intelligence recognition module sequentially plays the dressing guidance videos based on the guidance video data. The dressing step characteristics of the step model data identify the real-time image, wherein if the artificial intelligence recognition module recognizes that the real-time image does not meet any of the dressing step characteristics, a first error prompt is generated and the first error is The prompt is displayed on the display of the electronic scope.

Wherein, the at least one removal mode is that during the process of the user taking off the protective clothing, the control device sequentially plays the removal guidance videos of the guidance video data on the display, and the artificial intelligence recognition module Sequentially identify the real-time image based on the removal step characteristics of the step model data, wherein if the artificial intelligence recognition module recognizes that the real-time image does not meet any of the removal step characteristics, a second error prompt is generated, and The second error prompt is displayed on the display of the electronic mirror.

The effect of the present invention is that by reflecting the user's image on the light-transmitting reflective surface, combined with the putting on guidance video or the taking off guidance video, the user can be guided to put on and take off the protective clothing correctly when the user is putting on and taking off the protective clothing. Moreover, when the artificial intelligence recognition module recognizes that the real-time image does not conform to any of the dressing step characteristics or any of the removal step characteristics, it displays the first error prompt and the second error prompt on the display, and can further Let users know about dressing or doffing steps that have not been actually performed.

[Invention]

100: Artificial intelligence guidance system for putting on and taking off protective clothing

10: Electronic mirror

12: Translucent reflective surface

14:Display

14a: Operation interface

20:Camera

30:Database

32:Identity information

34: Guide video information

34A: Dressing guide video

36: Step model information

38: Gesture control information

40:Control device

42: Identity recognition module

44:Artificial intelligence recognition module

46: Communication unit

48: Timing unit

50: Sound transceiver device

60: Electronic devices

F1: First gesture icon

F2: Second gesture icon

F3: Third gesture icon

F4: The fourth gesture icon

P:User's image

O1: First outfit option

O2: Secondary clothing option

O3: First removal option

O4: Second elimination option

T: Timing icon

S11, S12, S15: dressing steps

S21~S24: Removal steps

Figure 1 is a schematic diagram of the electronic mirror of the artificial intelligence guidance system for donning and taking off protective clothing according to a preferred embodiment of the present invention.

Figure 2 is a block diagram of the artificial intelligence guidance system for putting on and taking off protective clothing according to the above-mentioned preferred embodiment of the present invention.

Figure 3 is the operation interface of the artificial intelligence guidance system for putting on and taking off protective clothing according to the above-mentioned preferred embodiment of the present invention, in which the image of the user reflected by the light-transmitting reflective surface is omitted.

Figure 4 is a flow chart of the artificial intelligence guidance system for putting on and taking off protective clothing in the dressing teaching version of the above-mentioned preferred embodiment of the present invention.

Figure 5 is a schematic diagram of the dressing steps of the dressing teaching board according to the above-mentioned preferred embodiment of the present invention, in which the image of the user reflected by the light-transmitting reflective surface is omitted.

Figure 6 is a flow chart of the artificial intelligence guidance system for donning and taking off protective clothing in the doffing teaching version of the above-mentioned preferred embodiment of the present invention.

Figure 7 is a flow chart of the complete version of the artificial intelligence guidance system for putting on and taking off protective clothing according to the above-mentioned preferred embodiment of the present invention.

Figure 8 is a schematic diagram of the dressing steps of the complete version of the dressing according to the above-mentioned preferred embodiment of the present invention, in which the image of the user reflected by the light-transmitting reflective surface is omitted.

Figure 9 is a flow chart of the complete version of the artificial intelligence guidance system for donning and taking off protective clothing according to the above-mentioned preferred embodiment of the present invention.

In order to illustrate the present invention more clearly, the preferred embodiments are described in detail below along with the drawings. Please refer to FIGS. 1 to 3 , which is an artificial intelligence guidance system 100 for donning and taking off protective clothing according to a preferred embodiment of the present invention. It includes an electronic mirror 10 , a camera 20 , a database 30 , and a control device 40 .

The electronic mirror 10 includes a light-transmitting reflective surface 12 and a display 14; the light-transmitting reflective surface 12 is combined on the outside of the display 14, and the light-transmitting reflective surface 12 is used to reflect a user's image P; the display 14 is used to A display screen is displayed, and the display screen is transmitted through the light-transmitting reflective surface 12 .

The camera 20 can be installed inside the body of the electronic mirror 10 to comply with infection control requirements and prevent the camera 20 from being contaminated. The camera 20 is used to continuously shoot outside the body and capture the user's real-time movements, and generate a real-time image. In practice, the camera 20 can be installed outside the electronic mirror 10 .

The database 30 stores an identity data 32, a guidance video data 34, and a step model data 36. The identity information 32 includes the identities of multiple users and their records of wearing and taking off protective clothing. The guidance video data 34 includes a plurality of dressing guidance videos 34A and a plurality of taking off guidance videos; the step model data 36 includes a plurality of dressing step characteristics and a plurality of taking off step characteristics. In addition, the database 30 also stores a gesture control data 38, which includes a first gesture control model, a second gesture control model, a third gesture control model, and a fourth gesture control model.

The control device 40 includes a body recognition module 42 and an artificial intelligence recognition module 44 . The control device 40 is electrically connected to the display 14, the camera 20 and the database 30; the control device 40 displays an operation interface 14a on the display 14. The operation interface 14a includes at least one dressing option and at least one removal option. User choice.

When the user selects the at least one dressing option, the control device 40 executes at least one dressing mode; when the user selects the at least one taking off option, the control device 40 executes at least one taking off mode. In this embodiment, the at least one clothing option includes a first clothing option O1 (dressing instructional version) and a second clothing option O2 (full clothing option), and the at least one removal option includes a first removal option. O3 (excluding the tutorial version) and a second option O4 (excluding the full version). Wherein, the at least one wearing mode includes a first wearing mode and a second wearing mode; the at least one taking off mode includes a first taking off mode and a second taking off mode.

In this embodiment, the identity recognition module 42 uses Near Field Communication (NFC) to non-contactly read the user's identification card, but it is not limited to this, and can also use RFID, WiFi, Or wired sensing technology such as magnetic stripe reading and barcode reading can be used to achieve the same purpose. The above is already common knowledge and will not be described again here.

The artificial intelligence recognition module 44 is used to determine that the real-time image has a characteristic of the dressing step or a characteristic of the taking off step. In at least one dressing mode, wherein the at least one dressing mode includes a plurality of dressing steps, if the artificial intelligence recognition module 44 recognizes that the real-time image does not meet the characteristics of any of the dressing steps, a first error prompt is generated; at least In a removal mode, in which at least one removal mode includes a plurality of removal steps, the artificial intelligence recognition module 44 generates a second error prompt when it recognizes that the real-time image does not meet the characteristics of any of the removal steps. After the dressing steps or the taking off steps are completed, the control device 40 will correspondingly display each first error prompt or each second error prompt on the electronic mirror 10 . In terms of implementation, the artificial intelligence recognition module 44 can use human body backbone image analysis. Among them, human backbone image analysis is a multi-level hybrid design that is developed and mixed with a variety of mature algorithms (RCNN, SSD, SVM, etc.) to ensure that the analysis is compatible. The advantages of different algorithms and the limitations of different algorithms are optimized to provide highly accurate and stable human backbone image analysis in different environments and backgrounds, but it is not limited to this. After the algorithm is trained, the dressing step features and removal step features are obtained and stored in the database 30 .

In addition, the artificial intelligence guidance system 100 for donning and taking off protective clothing also includes a voice transceiver 50 and an electronic device 60 . The control device 40 includes a communication unit 46 . The sound transceiver 50 is electrically connected to the control device 40; the communication unit 46 is communicatively connected to the electronic device 60; in this embodiment, the electronic device 60 can be a smart phone or a tablet computer that can perform audio and video call functions. The device, but is not limited to this, can also be a desktop computer or a notebook computer. The electronic device 60 is installed at the nursing station; the sound transceiver 50 can be a microphone and a speaker, which are installed on the electronic mirror. For example, the user's voice is collected, and when the dressing guide videos and the take-off guide videos of the guide video data 34 are played, the voice guidance corresponding to the guide videos can be played simultaneously. In addition, when the electronic device 60 is connected to the sound transceiver 50 for communication, the sound transceiver 50 can also broadcast the signal at the nursing station. The sound of the helper's guidance instructions can be used with the display 14 to display the image of the supporter at the nursing station, so that the supporter at the nursing station can have a real-time audio and video call.

Before preparing to select the operation interface 14a, in this embodiment, the user will first use the identification card for the identity recognition module 42 to read the user's identity, and compare it with the identity information 32 of the database 30 for accuracy. After completion, log in, and then enter a main menu screen. The operation interface 14a is visible in the main menu screen. Referring to FIG. 3, the display 14 displays the operation interface 14a as the first clothing option O1 and the second clothing option. O2. The first removal option O3 and the second removal option O4 use the artificial intelligence recognition module 44 to identify the user's action to select one of the options in the operation interface 14a, wherein the user's action includes Body movements, such as hand or foot movements, taking hands as an example, can be waving the hand to select an option, or moving the hand relative to the corresponding position of the options on the display 14 to select one of the options. This is used for the artificial intelligence recognition module 44 to determine the user's waving movement of the hand or the position of the hand and select a corresponding option. In addition, a first gesture icon F1, a second gesture icon F2 and a third gesture icon F3 are further displayed on the operation interface 14a to prompt the user to perform the first gesture and the second gesture. Or third gesture. When the artificial intelligence recognition module 44 recognizes that the first gesture performed by the user in the real-time image matches the first gesture control model, the control device 40 begins to execute the selected first clothing option O1 and the second clothing option. Option O2, the first elimination option O3 or the second elimination option O4.

The operations in the at least one dressing mode and the at least one taking off mode are respectively described below.

The at least one dressing mode is that while the user is wearing protective clothing, the control device 40 sequentially plays the dressing guidance videos 34A of the guidance video data 34 on the display 14, and the artificial intelligence recognition module 44 The real-time image is sequentially identified based on the dressing step characteristics of the step model data 36 .

The at least one removal mode is that during the process of the user taking off the protective clothing, the control device 40 sequentially plays the removal guidance videos of the guidance video data 34 on the display 14, and the artificial intelligence recognition pattern The group 44 sequentially identifies the real-time image based on the removal step characteristics of the step model data 36 .

Referring to FIGS. 4 to 9 , the operation procedures of the first dressing option O1 , the first removal option O3 , the second dressing option O2 , and the second removal option O4 are respectively described below.

Next, the operation process of the first clothing option O1 will be explained with reference to FIG. 4 .

〔The first dressing option O1 (dressing instructional version)〕

In the first dressing option O1, before preparing for action in the first dressing mode, the dressing guidance video 34A of the guidance video data 34 will be completely played for teaching, and then after the dressing guidance videos 34A are completed. , the first dressing mode executed by the control device 40 is that in each dressing step, the control device 40 sequentially plays the dressing guidance videos 34A of the guidance video data 34 on the display 14, wherein, the Some dressing steps are as follows:

S11. Wear protective clothing.

S12. Cover the cuffs of gloves and protective clothing.

S13. After putting on the mask, press the bridge of the nose to ensure a tight fit.

S14. Wear goggles or protective mask.

S15. Put on the isolation gown again.

The above steps are only examples and are not intended to limit the present invention and can be adjusted according to actual conditions.

Referring to FIG. 5 , taking the above step S13 as an example, the control device 40 plays a dressing guide video 34A and a dressing step corresponding to the dressing guide video 34A on the display 14 , and the artificial intelligence recognition model Group 44 is identified based on a characteristic of the dressing step. If the user performs a second gesture on the real-time image during the process, and the artificial intelligence recognition module 44 recognizes that the real-time image complies with the second gesture control model, it determines that the real-time image has a next step command, and in the After receiving the next step instruction, the control device 40 executes the next dressing step until all dressing steps are completed, and displays each first error prompt accordingly. Afterwards, log the user out.

In the subsequent operation process, if it is necessary to return to the previous step, the user can perform a third gesture, and when the artificial intelligence recognition module 44 recognizes that the real-time image conforms to the third gesture control model, it is determined that the real-time image has a The previous step instruction will cause the control device 40 to return to the previous dressing step according to the currently executed dressing step, and after receiving the previous step instruction, the control device 40 will execute the previous dressing step again until all The dressing steps are all completed, and each first error prompt is displayed correspondingly. When each first error prompt is displayed, the sound transceiver 50 also simultaneously broadcasts a voice corresponding to each first error prompt. The reminder sound allows the user to see and hear the first error message. Afterwards, log the user out.

In addition, there is a fourth gesture icon F4 in the displayed screen, prompting the user to perform the fourth gesture. During the operation steps, when the user encounters a problem with the operation steps and needs to request support, the user can perform a fourth gesture. When the artificial intelligence recognition module 44 recognizes that the real-time image conforms to the fourth gesture control model, , the control device 40 will activate the communication unit 46 and the sound transceiver 50, and transmit the user's real-time image and sound to the electronic device 60 through the communication unit 46, and through the sound transceiver 50 and the electronic device 60. Device 60 talks. That is, personnel at the nursing station can interact with users in real time and provide correct guidance. After completing the request for support, the system returns to the first dressing mode and continues with the current dressing steps until all dressing steps are completed, and each first error prompt is displayed accordingly. Afterwards, log the user out.

In addition, the control device 40 records the user's errors in each dressing step in the corresponding record of putting on and taking off the protective clothing in the identity information 32 of the database 30 for subsequent query.

Next, the operation process of the first removal option O3 will be explained with reference to FIG. 6 .

[First removal option O3 (removal teaching version)]

In the first release option O3, before the first release mode preparation action, the release guidance video tutorial will be played completely. After the release guidance videos are played, the control device 40 will execute the release guidance video. The first removal mode is that in each removal step, the control device 40 sequentially plays the removal guidance videos of the guidance video data 34 on the display 14, wherein the removal steps are in sequence. For the following:

S21. Take off the isolation gown.

S22. Take off gloves and wash hands.

S23. Take off your goggles or protective mask and wash your hands.

S24. Take off the mask.

The above steps are only examples and are not intended to limit the present invention and can be adjusted according to actual conditions.

In each of the above removal steps, the control device 40 plays a removal guidance video on the display 14 and the artificial intelligence recognition module 44 identifies the real-time image according to a feature of the removal step. The artificial intelligence recognition The module 44 sequentially identifies the real-time image according to the removal step characteristics of the step model data 36, and when the user gestures like the second gesture and conforms to the second gesture control model, determines that the real-time image has The next step instruction; if the user makes a third gesture and it conforms to the third gesture control model, it is determined that the real-time image has the previous step instruction; if the user makes a fourth gesture and it conforms to the fourth gesture control model During the model, it is judged that the user needs to request support, that is, the communication unit 46 is started to communicate with the nursing station; until all the removal steps are completed, and each second error prompt is displayed correspondingly, wherein each second error prompt is displayed. When the second error is prompted, the sound transceiver 50 also broadcasts the corresponding The voice reminder sound of each second error prompt allows the user to see and hear the second error prompt. Afterwards, log the user out.

In addition, the control device 40 records the user's errors in each step of taking off the protective clothing in the corresponding record of putting on and taking off the protective clothing in the identity information 32 of the database 30 for subsequent query.

The first dressing option O1 and the first taking off option O3 are teaching versions. Before preparing for the action, by playing the corresponding complete dressing guide video or the taking off guide video, the user can deepen the following steps. The impression of the ongoing process; in addition, when performing each dressing step or each taking off step, the real-time image of the camera 20 is received through the control device 40 and recognized through the artificial intelligence recognition module 44 Different steps are performed according to the first gesture control model, the second gesture control model, the third gesture control model, and the fourth gesture control model.

Next, the operation process of the second clothing option O2 will be described with reference to FIG. 7 .

[Second Outfit Option O2 (Full Version of Outfit)]

When the second dressing option O2 is selected, the control device 40 directly executes the second dressing mode. As shown in FIG. 8 , the control device 40 plays the guidance video on the display 14 in each dressing step. The dressing guidance video 34A of the data 34 and the artificial intelligence recognition module 44 recognize the real-time image according to a feature of the dressing step. The control device 40 also includes a timing unit 48, wherein the time timing of the timing unit 48 is presented on the electronic mirror 10 with a timing icon T; when the control device 40 executes the second dressing mode, the control device 40 40 After the timing unit 48 counts a first predetermined time, the dressing step under the step model data 36 is automatically executed. In this embodiment, the first predetermined time is preset to 15 seconds. After the 15-second countdown is completed, It will automatically jump to the next dressing step, and automatically play the next dressing guide video in sequence, and the artificial intelligence recognition module 44 will recognize the real-time image according to the characteristics of the next dressing step, wherein the dressing steps are related to the dressing step. The first dressing mode The steps are similar and will not be repeated here until all the dressing steps are completed and each first error prompt is displayed correspondingly. Afterwards, log the user out.

In addition, the control device 40 records the user's errors in each dressing step in the corresponding record of putting on and taking off the protective clothing in the identity information 32 of the database 30 for subsequent query.

Next, the operation process of the second removal option O4 will be explained with reference to FIG. 9 .

[Second removal option O4 (removal full version)]

When the second removal option O4 is selected, the control device 40 executes the second removal mode. The control device 40 plays the removal guide video on the display 14 and the artificial intelligence recognition module 44 performs the removal according to a The removal step characterizes the real-time image. The control device 40 automatically executes the next dressing step after the timing unit 48 counts a second predetermined time. In this embodiment, the second predetermined time is preset to 15 seconds. After the 15-second countdown is completed, the control device 40 automatically executes the dressing step. Jump to the next removal step, and automatically play the next removal guide video in sequence, and the artificial intelligence recognition module 44 identifies the real-time image according to the characteristics of the next removal step, wherein the removal steps The steps in the first removal mode are similar and will not be repeated here until all the removal steps are completed and each second error prompt is displayed correspondingly. Afterwards, log the user out.

In addition, the control device 40 records the user's errors in each step of taking off the protective clothing in the corresponding record of putting on and taking off the protective clothing in the identity information 32 of the database 30 for subsequent query.

The second dressing option O2 and the second undressing option O4 are complete versions, which are provided to users who are familiar with the dressing steps and the undressing steps. After one step is completed, they can directly proceed to the next step without any need. After the control device 40 receives the previous step instruction or the next step instruction, it can be completed quickly and accurately. In addition, if it is completed in advance within the first predetermined time and the second predetermined time, the user can also perform a second gesture that conforms to the second gesture control model, so that the artificial intelligence recognition module 44 determines the real-time The image has this next step instruction; if During the first predetermined time and the second predetermined time, the third gesture can be made by returning to the previous step, or the fourth gesture can be made by requesting assistance from the nursing station if necessary.

As mentioned above, when the user puts on and takes off the protective clothing, on the one hand, the user can watch the real-time action through the light-transmitting reflective surface 12, that is, the light-transmitting reflective surface 12 can be used as a mirror to reflect the real-time action to show the user's Image P, on the other hand, the display 14 can also simultaneously play the dressing guide videos 34A or the take-off guide videos of the guide video information 34, and be transmitted through the light-transmitting reflective surface 12 for use. Patients can also follow the guidance of the above-mentioned guidance video while putting on and taking off protective clothing and proceed smoothly.

Thereby, the user can check whether the steps of putting on or taking off the protective clothing are correct according to the instructions of the dressing guide videos 34A and the taking off guide videos of the guide video data 34 seen on the display 14; In addition, the user can learn from the first error prompt or the second error prompt seen on the display 14 which steps of putting on or taking off the protective clothing have not been actually performed, so that the user can make immediate corrections and pay more attention. Steps not actually performed.

The above are only the best possible embodiments of the present invention. All equivalent changes made by applying the description and patent scope of the present invention should be included in the patent scope of the present invention.

100: Artificial intelligence guidance system for putting on and taking off protective clothing

10: Electronic mirror

12: Translucent reflective surface

14:Display

20:Camera

30:Database

32:Identity information

34: Guide video information

36: Step model information

38: Gesture control information

40:Control device

42: Identity recognition module

44:Artificial intelligence recognition module

46: Communication unit

48: Timing unit

50: Sound transceiver device

60: Electronic devices

Claims (6)

An artificial intelligence guidance system for donning and taking off protective clothing, including: an electronic mirror, including a light-transmitting reflective surface and a display; the light-transmitting reflective surface is combined on the outside of the display, and the light-transmitting reflective surface is used to reflect the image of a user , the display is used to display a picture and the displayed picture is transmitted through the light-transmitting reflective surface; a camera is used to photograph the user and generate a real-time image; a database is used to store a step model data and a guidance video Data, the step model data includes a plurality of dressing step characteristics and a plurality of removal step characteristics, and the guidance video data includes a plurality of dressing guidance videos and a plurality of removal guidance videos; a control device electrically connected to the display, the camera and the database; the control device includes an artificial intelligence recognition module; the control device displays an operation interface on the display, wherein the operation interface includes at least one dressing option and at least one removal option for the user to select, When the user selects the at least one dressing option, the control device executes at least one dressing mode, and when the user selects the at least one take-off option, the control device executes at least one take-off mode; wherein the at least one dressing mode is , during the process of the user wearing protective clothing, the control device sequentially plays the clothing guidance videos of the guidance video data on the display, and the artificial intelligence recognition module sequentially plays the clothing guidance videos of the step model data based on the step model data. Step characteristics identify the real-time image, wherein if the artificial intelligence recognition module identifies that the real-time image does not meet any of the dressing step characteristics, a first error prompt is generated, and the first error prompt is displayed on the display of the electronic mirror Wherein, the at least one removal mode is that during the process of the user taking off the protective clothing, the control device sequentially plays the removal guidance videos of the guidance video information on the display, and the artificial intelligence identifies The module sequentially identifies the real-time image based on the removal step characteristics of the step model data. If the artificial intelligence recognition module identifies that the real-time image does not meet any A second error prompt is generated when the feature of the removal step is removed, and the second error prompt is displayed on the display of the electronic mirror; wherein the at least one clothing option includes a first clothing option and a second clothing option; At least one take-off option includes a first take-off option and a second take-off option; the at least one dressing mode includes a first dressing mode and a second dressing mode; the at least one take-off mode includes a first take-off option mode and a second take-off mode; wherein, in the first dressing option, the first dressing mode executed by the control device is, in each dressing step, the control device plays a dress code on the display. The guidance video and the artificial intelligence recognition module identify the real-time image based on the characteristics of a dressing step, and after receiving a next step instruction, execute the next dressing step until all dressing steps are completed; wherein, in the third dressing step When there are two dressing options, the second dressing mode executed by the control device is: after the control device plays a dressing guide video on the display and the artificial intelligence recognition module recognizes the real-time image according to a feature of the dressing step, then Play the next dressing guide video and the artificial intelligence recognition module recognizes the real-time image according to the characteristics of the next dressing step until all the dressing steps are completed; wherein, when the first removal option is released, the control device The first removal mode executed is that in each removal step, the control device plays a removal guidance video on the display and the artificial intelligence recognition module identifies the real-time removal step according to a feature. image, and after receiving the next step instruction, execute the next removal step until all removal steps are completed; wherein, in the second removal option, the control device executes the second removal step. The removal mode is that after the control device plays a removal guidance video on the display and the artificial intelligence recognition module recognizes the real-time image based on a feature of the removal step, it then plays the next removal guidance. The video and the artificial intelligence recognition module identify the real-time image according to the characteristics of the next removal step until all the removal steps are completed; wherein, the artificial intelligence recognition module recognizes the user's actions in the real-time image, To select one of the first dressing option, the second dressing option, the first removal option and the second removal option of the operation interface; wherein, the database stores a gesture control data, and the gesture control The data includes a first gesture control model; when the artificial intelligence recognition module recognizes that the real-time image matches the first gesture control model, the control device begins to execute the selected first clothing option, the second clothing option, and the selected clothing option. The first removal option or the second removal option; wherein the gesture control data includes a second gesture control model; when the artificial intelligence recognition module recognizes that the real-time image matches the second gesture control model, it determines The real-time image has the next step instruction. The artificial intelligence guidance system for putting on and taking off protective clothing as described in claim 1, wherein in the first dressing option, before the user starts the action of putting on protective clothing, the control device sequentially plays the clothing items on the display. The first dressing mode is executed after the guidance video; in the first removal option, before the user begins to take off the protective clothing, the control device sequentially plays the removal guidance videos on the display. Execute the exit mode again. The artificial intelligence guidance system for putting on and taking off protective clothing as described in claim 1, wherein the control device further includes a timing unit; when the second dressing option is selected, the control device executes the second dressing mode, and the second dressing mode is, The control device is allowed to automatically execute the next dressing step after the timing unit counts a first predetermined time; when the second removal option is selected, the control device executes the second removal mode, and the second removal mode is, The control device is caused to automatically execute the next removal step in sequence after a second predetermined time of the timing unit. The artificial intelligence guidance system for putting on and taking off protective clothing as described in claim 1, wherein after the putting on steps and the taking off steps are completed, each first error prompt and each second error prompt are displayed correspondingly on on the display of the electronic mirror. An artificial intelligence guidance system for donning and taking off protective clothing, including: an electronic mirror, including a light-transmitting reflective surface and a display; the light-transmitting reflective surface is combined on the outside of the display, and the light-transmitting reflective surface is used to reflect the image of a user , the display is used to display a picture and the displayed picture is transmitted through the light-transmitting reflective surface; a camera is used to photograph the user and generate a real-time image; a database is used to store a step model data and a guidance video Data, the step model data includes a plurality of dressing step characteristics and a plurality of removal step characteristics, and the guidance video data includes a plurality of dressing guidance videos and a plurality of removal guidance videos; a control device electrically connected to the display, the camera and the database; the control device includes an artificial intelligence recognition module; the control device displays an operation interface on the display, wherein the operation interface includes at least one dressing option and at least one removal option for the user to select, When the user selects the at least one dressing option, the control device executes at least one dressing mode, and when the user selects the at least one take-off option, the control device executes at least one take-off mode; wherein the at least one dressing mode is , during the process of the user wearing protective clothing, the control device sequentially plays the clothing guidance videos of the guidance video data on the display, and the artificial intelligence recognition module sequentially plays the clothing guidance videos of the step model data based on the step model data. Step characteristics identify the real-time image, wherein if the artificial intelligence recognition module identifies that the real-time image does not meet any of the dressing step characteristics, a first error prompt is generated, and the first error prompt is displayed on the display of the electronic mirror above; wherein the at least one removal mode is that during the process of the user taking off the protective clothing, the control device sequentially plays the removal guidance videos of the guidance video data on the display, and The artificial intelligence recognition module sequentially identifies the real-time image based on the removal step characteristics of the step model data. If the artificial intelligence recognition module recognizes that the real-time image does not meet any of the removal step characteristics, it generates a A second error prompt is displayed on the display of the electronic mirror; wherein, the at least one dressing option includes a first dressing option and a second dressing option; and the at least one removal option includes a first A take-off option and a second take-off option; the at least one dressing mode includes a first wearing mode and a second dressing mode; the at least one take-off mode includes a first take-off mode and a second take-off mode; Wherein, in the first dressing option, the first dressing mode executed by the control device is that in each dressing step, the control device plays the dressing guide video and the artificial intelligence recognition module on the display. Identify the real-time image according to the characteristics of a dressing step, and after receiving a next step instruction, execute the next dressing step until all dressing steps are completed; wherein, during the second dressing option, the control device executes The second dressing mode is that after the control device plays a dressing guide video on the display and the artificial intelligence recognition module recognizes the real-time image based on a feature of the dressing step, it then plays the next dressing guide video and the The artificial intelligence recognition module identifies the real-time image according to the characteristics of the next dressing step until all the dressing steps are completed; wherein, at the time of the first removal option, the first removal mode executed by the control device is , in each removal step, the control device plays a removal guidance video on the display and the artificial intelligence recognition module recognizes the real-time image based on a feature of the removal step, and receives the next step instruction. Then, perform the next removal step until all removal steps are completed; wherein, in the second removal option, the second removal mode executed by the control device is, the control device in the A removal guide video and the artificial intelligence recognition are played on the display. After the module identifies the real-time image according to the characteristics of a removal step, it then plays the next removal guidance video and the artificial intelligence recognition module identifies the real-time image according to the characteristics of the next removal step until all the removal steps are performed. The steps are then executed; wherein the artificial intelligence recognition module recognizes the user's actions in the real-time image to select the first dressing option, the second dressing option, the first removal option and the third dressing option of the operation interface. One of two removal options; wherein, the database stores a gesture control data, and the gesture control data includes a first gesture control model; the artificial intelligence recognition module recognizes that the real-time image conforms to the first gesture control model When, the control device starts to execute the selected first dressing option, the second dressing option, the first removal option or the second removal option; wherein the gesture control data includes a third gesture control model; When the artificial intelligence recognition module recognizes the third gesture control model, it will cause the control device to return to the previous dressing step according to the dressing step currently executed, or it will cause the control device to return to the previous dressing step according to the removal step currently executed. The control device is then returned to perform the previous removal step. An artificial intelligence guidance system for donning and taking off protective clothing, including: an electronic mirror, including a light-transmitting reflective surface and a display; the light-transmitting reflective surface is combined on the outside of the display, and the light-transmitting reflective surface is used to reflect the image of a user , the display is used to display a picture and the displayed picture is transmitted through the light-transmitting reflective surface; a camera is used to photograph the user and generate a real-time image; a database is used to store a step model data and a guidance video Data, the step model data includes a plurality of dressing step characteristics and a plurality of removal step characteristics, and the guidance video data includes a plurality of dressing guidance videos and a plurality of removal guidance videos; a control device electrically connected to the display, The camera and the database, the control device includes an artificial intelligence recognition module; the control device displays an operation interface on the display, the In the operation interface, the operation interface includes at least one dressing option and at least one take-off option for the user to select. When the user selects the at least one dressing option, the control device executes at least one dressing mode. When the user selects the at least one take-off option When optional, the control device executes at least one take-off mode; wherein the at least one dressing mode is that while the user is wearing protective clothing, the control device sequentially plays the dressing of the guidance video information on the display. Guide the video, and the artificial intelligence recognition module sequentially identifies the real-time image based on the dressing step characteristics of the step model data, wherein, if the artificial intelligence recognition module recognizes that the real-time image does not meet any of the dressing step characteristics Generate a first error prompt and display the first error prompt on the display of the electronic mirror; wherein the at least one removal mode is that during the process of the user taking off the protective clothing, the control device switches on the display The removal guidance videos of the guidance video data are played sequentially, and the artificial intelligence recognition module sequentially identifies the real-time image based on the removal step characteristics of the step model data. If the artificial intelligence recognition model When the group recognizes that the real-time image does not meet any of the characteristics of the removal step, a second error prompt is generated, and the second error prompt is displayed on the display of the electronic mirror; wherein the at least one clothing option includes a first clothing option and a second dressing option; at least one take-off option includes a first take-off option and a second take-off option; the at least one dressing mode includes a first dressing mode and a second dressing mode; the at least one take-off option The removal mode includes a first removal mode and a second removal mode; wherein, during the first dressing option, the first dressing mode executed by the control device is, in each dressing step, the control device Play a dressing guide video on the display and the artificial intelligence recognition module recognizes the real-time image based on a feature of the dressing step, and after receiving a next step instruction, execute the next dressing step until all dressing steps are completed. Execution completed; Wherein, in the second dressing option, the second dressing mode executed by the control device is: the control device plays a dressing guide video on the display and the artificial intelligence recognition module identifies the dressing step feature according to After the real-time image, the next dressing guide video is played and the artificial intelligence recognition module recognizes the real-time image according to the characteristics of the next dressing step until all the dressing steps are completed; wherein, in the first removal option When, the first removal mode executed by the control device is, in each removal step, the control device plays a removal guide video on the display and the artificial intelligence recognition module performs a removal guide according to the removal step. The step feature identifies the real-time image, and after receiving the next step instruction, executes the next removal step until all removal steps are completed; wherein, in the second removal option, the control device executes The second removal mode is that after the control device plays a removal guidance video on the display and the artificial intelligence recognition module recognizes the real-time image according to a feature of the removal step, it then plays the next removal step. The guidance video and the artificial intelligence recognition module identify the real-time image according to the characteristics of the next removal step until all the removal steps are completed; wherein, the artificial intelligence recognition module recognizes the user's actions in the real-time image. , to select one of the first dressing option, the second dressing option, the first removal option and the second removal option of the operation interface; wherein, the database stores a gesture control data, and the gesture The control data includes a first gesture control model; when the artificial intelligence recognition module recognizes that the real-time image matches the first gesture control model, the control device starts to execute the selected first clothing option, the second clothing option, The first removal option or the second removal option; the protective clothing donning and doffing artificial intelligence guidance system further includes a voice transceiver device and an electronic device, the voice transceiver device is electrically connected to the control device; the control device includes There is a communication unit, the communication unit is communicatively connected with the electronic device; wherein the gesture control data includes a fourth gesture control model; when the artificial intelligence recognition module recognizes the fourth gesture control model, the control device activates the communication unit with the sound transceiver device, transmit the real-time image to the electronic device through the communication unit, and communicate with the electronic device through the sound transceiver device.