Air conditioner intelligent control method, device and system based on machine vision

By collecting user location information through a camera, the system automatically adjusts the air conditioner's airflow direction, solving the problem of discomfort for users in areas where the air conditioner blows directly on them. This achieves intelligent airflow control that eliminates the need for manual adjustment, improving user experience and health and safety.

CN120160264BActive Publication Date: 2026-01-02NINGBO AUX ELECTRIC CO LTD +1
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Patent Information

Application Number
CN202311674303.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-12-07
Publication Date
2026-01-02
Estimated Expiration
2043-12-07

AI Technical Summary

Technical Problem

When using an air conditioner, users may feel uncomfortable if the air conditioner blows directly on them, requiring them to manually adjust the airflow direction, which reduces the user experience.

Method used

By collecting user location information through a camera, the air conditioner automatically adjusts the airflow direction and switches between wind avoidance mode and wind blowing mode based on whether the user enters or leaves the direct airflow area to avoid direct cold air blowing.

Benefits of technology

No need for users to manually adjust the airflow direction, improving the user experience, avoiding the health effects of prolonged exposure to cold air, and adapting to different user preferences.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application provides an air conditioner intelligent control method, device and system based on machine vision, the method comprising: obtaining real-time position of a user through images collected by a camera; in the case that the air conditioner is running in a wind-avoiding-person mode, if it is determined according to the real-time position that the user enters a direct blowing area of the air conditioner for multiple times, switching to a wind-blowing-person mode; in the case that the air conditioner is running in the wind-blowing-person mode, if it is determined according to the real-time position that the user leaves the direct blowing area of the air conditioner for multiple times, switching to the wind-avoiding-person mode. The embodiment of the application can intelligently adjust the air outlet direction of the air conditioner, without the need for the user to adjust the air outlet direction through a remote controller, improving the user experience, and the control method is simple in logic and easy to implement, and can be widely used.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of air conditioner intelligent air outlet, in particular to an air conditioner intelligent control method, device and system based on machine vision. BACKGROUND

[0002] In the use process of the air conditioner, in order to ensure the maximum cooling effect of the local area, the air deflector of the air conditioner is usually set to the maximum air outlet state, so that the user in the direct blowing area of the air conditioner feels that the cold wind is blowing on the body, and the temperature in the direct blowing area of the air conditioner is obviously lower than the room temperature. Some people in the sub-health state or who do not often use the air conditioner may feel uncomfortable. However, in special scenarios such as eating hot pot, the air conditioner direct blowing for a short time does not feel uncomfortable and is very comfortable. Different scenarios may have different choices for the air direction of the air conditioner, but the user needs to manually control the air direction through the remote controller, which greatly reduces the user experience. SUMMARY

[0003] To solve the above problems, the embodiment of the present application provides an air conditioner intelligent control method based on machine vision, which comprises the following steps: acquiring the real-time position of a user through images collected by a camera; in the case that the air conditioner is running in a wind-avoiding-person mode, if it is determined according to the real-time position that the user enters the direct blowing area of the air conditioner for multiple times, the air conditioner is switched to run in a wind-blowing-person mode; in the case that the air conditioner is running in the wind-blowing-person mode, if it is determined according to the real-time position that the user leaves the direct blowing area of the air conditioner for multiple times, the air conditioner is switched to run in the wind-avoiding-person mode.

[0004] The air conditioner intelligent control method based on machine vision provided by the embodiment of the present application acquires the position information of the user through the images collected by the camera, and judges through the position information of the user and the air direction of the air conditioner. The wind-blowing-person mode is adopted when the user actively enters the direct blowing area for multiple times, and the wind-avoiding-person mode is adopted when the user actively leaves the direct blowing area for multiple times. Thus, the air outlet direction of the air conditioner is intelligently adjusted, the user does not need to adjust the air direction through the remote controller, the user experience is improved, and the control method is simple in logic and easy to implement, so it can be widely used.

[0005] Optionally, the method further comprises: in the case that the air conditioner is running in the wind-blowing-person mode, if it is determined through the images collected by the camera that the user performs a covering warm-keeping action, the air conditioner is switched to run in the wind-avoiding-person mode.

[0006] In the embodiment of the present application, the action of covering the warm-keeping object of the user is recognized to determine that the user does not need the cold wind to directly blow on the body at present. In this case, the air conditioner is automatically switched to run in the wind-avoiding-person mode, so as to avoid the influence of the long-time air conditioner direct blowing due to the laziness of the user on the health of the user.

[0007] Optionally, the method further comprises: if there is no action of the user leaving the direct blowing area of the air conditioner or covering the warm object for multiple times, the air conditioner is switched to the wind-avoiding-person mode after running for a first time length after the air conditioner is switched from the wind-blowing-person mode to the wind-avoiding-person mode.

[0008] In the embodiment of the present application, after the air conditioner is switched from the wind-avoiding-person mode to the wind-blowing-person mode, the control logic of automatically switching to the wind-avoiding-person mode is set considering that the human body cannot withstand the cold wind for a long time, so that the air conditioner can be automatically switched to the wind-avoiding-person mode even if the action of the user leaving the direct blowing area of the air conditioner or covering the warm object for multiple times is not recognized, thereby avoiding the human body being directly blown for a long time and reducing the risk of the user feeling unwell.

[0009] Optionally, the method further comprises: if an instruction of switching to the wind-blowing-person mode is received, the air conditioner is switched to the wind-blowing-person mode under the condition that the air conditioner is running in the wind-avoiding-person mode.

[0010] In the embodiment of the present application, the air conditioner can be switched from the wind-avoiding-person mode to the wind-blowing-person mode based on the active control action of the user, which improves the adaptability of the scheme to different user preferences and better meets the user demand.

[0011] Optionally, the method further comprises: after the air conditioner is switched to the wind-blowing-person mode based on the instruction, the air conditioner is switched to the wind-avoiding-person mode after running for a second time length.

[0012] In the embodiment of the present application, after the above-mentioned switching is performed, the air conditioner can be automatically switched to the wind-avoiding-person mode after running for a certain time length, thereby avoiding the human body being directly blown for a long time and reducing the risk of the user feeling unwell.

[0013] Optionally, the method further comprises: the air conditioner is running in the wind-avoiding-person mode after being turned on.

[0014] In the embodiment of the present application, the air conditioner is initially running in the wind-avoiding-person mode, thereby avoiding the user feeling unwell due to direct blowing.

[0015] Optionally, the number of times that the user enters the direct blowing area of the air conditioner is three, and / or the number of times that the user leaves the direct blowing area of the air conditioner is three.

[0016] In the embodiment of the present application, the above-mentioned number of times can exclude the case that the user accidentally or has to pass through the direct blowing area, and can exclude the case that the user accidentally leaves the direct blowing area, thereby accurately determining the demand of the user for the direct blowing of the air conditioner and avoiding the direct blowing of the air conditioner.

[0017] The embodiment of the present application provides a kind of based on machine vision air conditioner intelligent control device, the device includes: position acquisition module, for the real-time position of user by the image acquisition of camera acquisition;First switching module, for in the case where air conditioner is operated in wind avoids person mode, if according to the real-time position determines that the user enters air conditioner direct blow area multiple times, then switch to wind blows person mode operation;Second switching module, for in the case where air conditioner is operated in wind blows person mode, if according to the real-time position determines that the user leaves air conditioner direct blow area multiple times, then switch to wind avoids person mode operation.

[0018] The embodiment of the present application provides a kind of based on machine vision air conditioner intelligent control system, including computer readable storage medium and processor with computer program stored, the computer program is read and run by the processor, realizes above-mentioned method.

[0019] The embodiment of the present application provides a kind of computer readable storage medium, the computer readable storage medium stores computer program, the computer program is read and run by processor, realizes above-mentioned method.

[0020] The based on machine vision air conditioner intelligent control device and system of the present application can achieve the same technical effect as the above-mentioned based on machine vision air conditioner intelligent control method. BRIEF DESCRIPTION OF DRAWINGS

[0021] Figure 1 A kind of based on machine vision air conditioner intelligent control method flow chart provided for the embodiment of the present application;

[0022] Figure 2 Air conditioner intelligent control method flow chart for the embodiment of the present application;

[0023] Figure 3 The structure diagram of a kind of based on machine vision air conditioner intelligent control device for the embodiment of the present application. DETAILED DESCRIPTION

[0024] To make the above-mentioned purpose, features and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application are described in detail below with reference to the drawings.

[0025] The embodiment of the present application provides a kind of based on machine vision air conditioner intelligent control method, by gathering the position where user is and air conditioner wind direction parameter information, automatically adjusts air conditioner outflow mode.

[0026] During operation of the air conditioner, the air direction of the air conditioner will change continuously according to the selected air outlet mode, and the camera will continuously acquire the video stream of the user, and intelligently determine by using the position information of the user and the air direction (corresponding to the direct blowing range) to adopt the wind-avoiding-person mode or the wind-blowing-person mode. The embodiment of the present application can intelligently adjust the air outlet direction of the air conditioner, without the need for the user to adjust the air direction through the remote controller, thereby improving the user experience.

[0027] Figure 1 A schematic flow chart of an air conditioner intelligent control method based on machine vision in the embodiment of the present application is shown, and the method comprises the following steps:

[0028] S102, acquiring the real-time position of the user through the image acquired by the camera.

[0029] For example, the camera can be arranged on the indoor unit of the air conditioner to acquire the real-time video stream of the indoor environment, and the real-time position of the user and the scene can be analyzed and determined through the video stream. Specifically, the real-time position is determined based on machine vision.

[0030] S104, in the case where the air conditioner operates in the wind-avoiding-person mode, if it is determined according to the real-time position that the user enters the direct blowing area of the air conditioner for multiple times, the air conditioner is switched to operate in the wind-blowing-person mode.

[0031] In the wind-avoiding-person mode, the air conditioner automatically adjusts the air outlet direction, and the air outlet direction will avoid the position of the human body, so that the human body is outside the direct blowing area of the air conditioner. If the user is originally not in the direct blowing area of the air conditioner, but enters the direct blowing area for multiple times, it can be excluded that the user accidentally or has to pass through the direct blowing area, but actively moves into the direct blowing area, indicating the demand of the user for the direct blowing of the air conditioner. In this case, the air conditioner is automatically switched to operate in the wind-blowing-person mode, without the need for the user to actively adjust (for example, adjust the air direction through the remote controller), thereby improving the user experience.

[0032] Among them, the number of times that the user enters the direct blowing area of the air conditioner is three, and if the user enters the direct blowing area of the air conditioner for three times, the air conditioner is switched to operate in the wind-blowing-person mode. Based on this, it can be excluded that the user accidentally or has to pass through the direct blowing area, and the demand of the user for the direct blowing of the air conditioner can be accurately determined.

[0033] S106, in the case where the air conditioner operates in the wind-blowing-person mode, if it is determined according to the real-time position that the user leaves the direct blowing area of the air conditioner for multiple times, the air conditioner is switched to operate in the wind-avoiding-person mode.

[0034] In the "Wind Blows on People" mode, the air conditioner automatically adjusts the airflow direction to follow the body's position, allowing for faster cooling. If a user was initially in the direct airflow area but repeatedly leaves it, this effectively eliminates the possibility of accidental departure and instead indicates that the user is actively moving away from the direct airflow, signifying an attempt to avoid the air conditioner's direct rays. In this case, the system automatically switches to "Wind Avoids People" mode, requiring no manual adjustment from the user and improving the user experience.

[0035] Specifically, the system detects when a user leaves the area directly exposed to the air conditioner's airflow three times. If a user leaves this area three times, the system switches to a "wind avoidance mode." This eliminates the possibility of a user accidentally leaving the area and accurately determines the user's need to avoid direct airflow from the air conditioner.

[0036] The intelligent air conditioning control method based on machine vision provided in this invention acquires user location information by capturing images through a camera. It then determines the airflow direction based on the user's location information and the air conditioning direction. If the user repeatedly enters the direct airflow area, the air conditioning adopts a "wind blowing on people" mode; if the user repeatedly leaves the direct airflow area, the air conditioning adopts a "wind avoiding people" mode. This intelligently adjusts the airflow direction of the air conditioner, eliminating the need for the user to adjust the airflow direction using a remote control, thus improving the user experience. Furthermore, the control method has simple logic, is easy to implement, and can be widely used.

[0037] Considering that users might cover themselves with blankets or quilts to keep warm after feeling uncomfortable from direct airflow, the system can switch to a "avoidance mode" upon detecting this. Therefore, the method can also include: if the camera detects that the user is covering themselves with warm clothing while the air conditioner is in "avoidance mode," then it switches to "avoidance mode." By recognizing the user's action of covering themselves with warm clothing, it determines that the user does not currently need direct cold air on their body, and automatically switches to "avoidance mode" in this case, avoiding the health risks of prolonged direct airflow due to customer laziness.

[0038] After the air conditioner switches from the "avoiding people" mode to the "blowing on people" mode, considering that most people cannot tolerate direct cold air blowing on them for extended periods, a control logic is also included to automatically switch back to the "avoiding people" mode. Based on this, after the switch, if no user is detected repeatedly leaving the area directly exposed to the air conditioner or covering themselves with warm clothing, the system will continue running for a first duration before switching back to the "avoiding people" mode. For example, this first duration is 5 minutes.

[0039] Even if the user does not actively leave the area directly exposed to the air conditioner or cover themselves with warm clothing multiple times, this embodiment can automatically switch to the wind avoidance mode to avoid direct airflow on the human body for a long time and reduce the risk of the user feeling uncomfortable.

[0040] Optionally, the user in the embodiment can actively switch the above-mentioned wind-avoiding-person mode and wind-blowing-person mode through a device such as a remote controller. Based on this, in the case where the air conditioner is running in the wind-avoiding-person mode, if an instruction of user control switching to the wind-blowing-person mode is received, the wind-blowing-person mode is switched to run. Further, after switching to the wind-blowing-person mode based on the user control instruction, control logic of automatically switching to the wind-avoiding-person mode is also set. Based on this, after the air conditioner is switched to the wind-blowing-person mode based on the instruction, the wind-avoiding-person mode is switched to run after running for a second time length. Exemplarily, the first time length is 30 minutes.

[0041] In the embodiment, the wind-avoiding-person mode can be switched to the wind-blowing-person mode based on the active control action of the user, which improves the adaptability of the scheme to different user preferences and can better meet the user demand. After the above-mentioned switching, the wind-avoiding-person mode can also be automatically switched to run after a certain time length, so as to avoid long-time direct blowing to the human body and reduce the risk of the user feeling unwell.

[0042] Optionally, after the air conditioner is turned on, the wind-avoiding-person mode is run, and then mode switching is performed based on the above-mentioned method, so as to intelligently select different modes to turn the air conditioner wind direction through the state and scene of the user.

[0043] Figure 2 A flowchart of an air conditioner intelligent control method in the embodiment of the application is shown, which includes the following steps:

[0044] S201, running in the wind-avoiding-person mode. The air conditioner is automatically selected to run in the wind-avoiding-person mode after being turned on

[0045] S202, collecting real-time video stream.

[0046] S203, obtaining real-time position / scene information of the user.

[0047] The real-time position and scene of the user are analyzed through the real-time video stream collected by the camera, and the air conditioner outflow wind direction at the same time is obtained from the air conditioner control chip.

[0048] S204, judging whether the following condition is met: the user actively approaching the direct blowing area ≥ 3 times or the user setting control direct blowing mode. If yes, S205 is executed; if no, S201 is returned.

[0049] When the user actively approaches the direct blowing area of the air conditioner for 3 times or actively selects the wind-blowing-person mode, the air conditioner enters the wind-blowing-person mode; otherwise, the air conditioner always keeps the wind-avoiding-person mode.

[0050] S205, running in the wind-blowing-person mode.

[0051] S206, collecting real-time video stream.

[0052] S207, obtaining real-time position / scene information of the user.

[0053] S208, determine if the following conditions are met: the user actively avoids the direct wind area ≥ 3 times or the user covers themselves with a blanket. If yes, return to S201; otherwise, proceed to S209.

[0054] The air conditioner enters a "blowing on people" mode, analyzing the user's scenario and state using real-time video streams captured by a camera, and simultaneously obtaining the airflow direction from the air conditioner's control chip. When the user actively moves away from the area directly exposed to the air conditioner's airflow three times or actively covers themselves with a blanket, the air conditioner enters a "blowing away from people" mode.

[0055] S209, determine if the "wind blowing people" mode has been running for ≥30 minutes. If yes, proceed to S211; otherwise, proceed to S210.

[0056] S210, determine if the "wind blowing people" mode operation time is 5 minutes. If yes, return to S201; otherwise, continue to S205.

[0057] When there are no of the above actions or behaviors, the air conditioner will continue to blow on people for 5 minutes before switching back to wind avoidance mode.

[0058] S211, determine if the following conditions are met: the wind avoidance mode has been running for ≥30 minutes or the user has actively modified the mode. If yes, return to S201; otherwise, execute S212.

[0059] S212, operating in wind-avoidance mode.

[0060] In addition, when the air conditioner actively selects the "blowing on people" mode, it will automatically switch to the "avoiding people" mode for 30 minutes after blowing on people for 30 minutes, and then it will jump back to the original setting mode.

[0061] Specifically, the air conditioner automatically selects the "avoiding people" mode after being turned on. Real-time video streams captured by a camera are analyzed to determine the user's location and surroundings, while the air conditioner's airflow direction is simultaneously obtained from the air conditioner's control chip. The air conditioner enters "avoiding people" mode when the user actively approaches the area directly exposed to the air conditioner three times or actively selects the "avoiding people" mode; otherwise, the air conditioner remains in "avoiding people" mode.

[0062] After the air conditioner enters the "blowing on people" mode, it analyzes the user's scenario and state using real-time video streams captured by a camera, and simultaneously obtains the airflow direction from the air conditioner's control chip. When the user actively moves away from the area directly exposed to the air conditioner's airflow three times or actively covers themselves with a blanket, the air conditioner enters the "avoiding people" mode. If no such actions are taken, the air conditioner continues in "blowing on people" mode for 5 minutes before re-entering "avoiding people" mode. Additionally, when the air conditioner is actively set to "blowing on people" mode, it will automatically enter "avoiding people" mode for 30 minutes after 30 minutes of "blowing on people" mode, after which it will return to the original setting mode.

[0063] The air conditioner intelligent control method provided by the embodiment of the application has the following beneficial effects: the improved control method is simple in logic and easy to implement, and can be widely used; the influence of long-time air conditioner direct blowing on the user's health due to user laziness is avoided; the air conditioner wind direction is intelligently selected in different modes according to the user's state and the scene; the improved control method reduces the user's waiting time and improves the user experience.

[0064] Figure 3 A structure schematic diagram of an air conditioner intelligent control device based on machine vision in the embodiment of the application is shown, and the device comprises:

[0065] A position acquisition module 301 is configured to acquire the real-time position of a user through images collected by a camera;

[0066] A first switching module 302 is configured to, in the case where the air conditioner is running in the wind-avoiding-person mode, switch to running in the wind-blowing-person mode if it is determined according to the real-time position that the user enters the air conditioner direct blowing area multiple times;

[0067] A second switching module 303 is configured to, in the case where the air conditioner is running in the wind-blowing-person mode, switch to running in the wind-avoiding-person mode if it is determined according to the real-time position that the user leaves the air conditioner direct blowing area multiple times.

[0068] The air conditioner intelligent control device based on machine vision provided by the embodiment of the application acquires the position information of a user through images collected by a camera, and judges according to the position information of the user and the air conditioner wind direction; the wind-blowing-person mode is adopted when the user enters the direct blowing area multiple times, and the wind-avoiding-person mode is adopted when the user leaves the direct blowing area multiple times, so that the air conditioner outflow wind direction is intelligently adjusted, the user does not need to adjust the wind direction through a remote controller, the user experience is improved, and the control method is simple in logic and easy to implement, and can be widely used.

[0069] As a feasible way, the device further comprises a third switching module configured to, in the case where the air conditioner is running in the wind-blowing-person mode, switch to running in the wind-avoiding-person mode if it is determined through the images collected by the camera that the user performs a covering warm-keeping action.

[0070] As a feasible way, the third switching module is further configured to, after the air conditioner is switched from the wind-avoiding-person mode to the wind-blowing-person mode, if the user does not leave the air conditioner direct blowing area multiple times or perform a covering warm-keeping action, continue running for a first time length and then switch to running in the wind-avoiding-person mode.

[0071] As a feasible way, the third switching module is further configured to, in the case where the air conditioner is running in the wind-avoiding-person mode, switch to running in the wind-blowing-person mode if an instruction for switching to the wind-blowing-person mode is received.

[0072] As a feasible way, the third switching module is further configured to switch to the wind-avoiding-person mode after the air conditioner runs for a second time duration after switching to the wind-blowing-person mode based on the instruction.

[0073] As a feasible way, the third switching module is further configured to run in the wind-avoiding-person mode after the air conditioner is turned on.

[0074] As a feasible way, the number of times that the user enters the direct blowing area of the air conditioner is three, and / or the number of times that the user leaves the direct blowing area of the air conditioner is three.

[0075] The embodiment of the present application further provides a machine vision-based air conditioner intelligent control system, including a computer readable storage medium storing a computer program and a processor, and when the computer program is read and run by the processor, the above method is realized.

[0076] The embodiment of the present application further provides a computer readable storage medium, which stores a computer program, and when the computer program is read and run by a processor, the method provided by the above embodiment is realized, and the same technical effects can be achieved.

[0077] Of course, those skilled in the art can understand that all or part of the processes in the above method embodiments can be completed by a computer degree to instruct a control device, and the program can be stored in a computer readable storage medium.

[0078] Although the present application is disclosed as above, the present application is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present application, and therefore the protection scope of the present application should be subject to the scope defined by the claims.

[0079] Finally, it needs to be pointed out that, in this document, the terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such a process, method, article or device. Without more limitations, the element defined by the statement "comprises a" does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0080] The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0081] Although the present application is disclosed as above, the present application is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present application, and therefore the protection scope of the present application should be defined by the scope defined in the claims.

Claims

1. A machine vision-based intelligent air conditioning control method, characterized in that, The method includes: The user's real-time location is obtained by capturing images from a camera. If the user repeatedly enters the area directly exposed to the air conditioner based on the real-time location when the air conditioner is operating in the wind-avoidance mode, then the system will switch to wind-blown-person mode. If the air conditioner is operating in the "blowing on people" mode, and it is determined from the real-time location that the user has left the area directly exposed to the air conditioner multiple times, then the system will switch to the "blowing away from people" mode.

2. The method as described in claim 1, characterized in that, The method further includes: When the air conditioner is running in the "blowing on people" mode, if the image captured by the camera determines that the user is covering themselves with a warm covering, the system will switch to the "blowing away from people" mode.

3. The method as described in claim 1, characterized in that, The method further includes: After the air conditioner switches from the wind-avoidance mode to the wind-blowing mode, if the user does not repeatedly leave the area directly blew by the air conditioner or cover themselves with warm clothing, it will continue to run for a first period of time before switching back to the wind-avoidance mode.

4. The method as described in claim 1, characterized in that, The method further includes: If the air conditioner is running in the "avoid people" mode and receives a user command to switch to the "airflow to people" mode, it will switch to the "airflow to people" mode.

5. The method as described in claim 4, characterized in that, The method further includes: After the air conditioner switches to the blowing mode based on the instruction, it continues to run for a second period of time before switching to the wind-avoiding mode.

6. The method according to any one of claims 1-5, characterized in that, The method further includes: After the air conditioner is turned on, it will operate in the wind-avoidance mode.

7. The method according to any one of claims 1-5, characterized in that, The user enters the area directly exposed to the air conditioner three times, and / or the user leaves the area directly exposed to the air conditioner three times.

8. A machine vision-based intelligent air conditioning control device, characterized in that, The device includes: The location acquisition module is used to obtain the user's real-time location through images captured by the camera. The first switching module is used to switch to the air-blowing-to-people mode when the air conditioner is running in the wind-avoidance mode and the user is determined to have entered the air-conditioned direct-blowing area multiple times based on the real-time location. The second switching module is used to switch to the wind-avoidance mode when the air conditioner is running in the wind-blowing-person mode and the user leaves the air conditioner's direct-blowing area multiple times based on the real-time location.

9. A machine vision-based intelligent air conditioning control system, characterized in that, The method includes a computer-readable storage medium storing a computer program, which is read and executed by the processor to implement the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when read and executed by a processor, implements the method as described in any one of claims 1-7.

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