A vehicle window control system and method
By using cameras and image processing modules to detect abnormal conditions of occupants, the central control module automatically opens the windows, solving the problem that occupants cannot actively operate the windows and enabling automatic window adjustment and mitigation of abnormal conditions.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG ZEEKR INTELLIGENT TECH CO LTD
- Filing Date
- 2023-07-17
- Publication Date
- 2026-06-12
AI Technical Summary
In existing technology, car windows cannot be automatically opened or closed when it is inconvenient for occupants to take active action.
The system uses a camera to capture images of the target object inside the car, and an image processing module to extract behavioral features and determine whether it is in an abnormal state. If the abnormal state is detected, the main control module controls the windows to open to alleviate the abnormal situation.
It enables automatic opening of car windows to alleviate abnormal conditions such as motion sickness, shortness of breath, and smoking without the need for the target user to actively participate, thus improving the automatic adjustment capability of the in-vehicle environment.
Smart Images
Figure CN116791997B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the automotive field, and more particularly to a window control system and method. Background Technology
[0002] Cars are usually equipped with windows. When the windows are closed, the car becomes a closed space. When the windows are opened, the closed car can be ventilated again.
[0003] In related technologies, both drivers and passengers can actively control the opening or closing of car windows through physical buttons or special gestures. However, these methods all require the occupants to actively perform certain actions. If the occupants are unable to perform these actions, the windows will not open or close automatically. Summary of the Invention
[0004] In view of this, the present invention provides a vehicle window control system and method to address the shortcomings of related technologies.
[0005] Specifically, the present invention is achieved through the following technical solution:
[0006] According to a first aspect of the present invention, a vehicle window control system is provided, the system comprising:
[0007] A camera used to capture images of target objects inside a car;
[0008] The image processing module is used to extract the behavioral features of the target object in the image captured by the camera, and determine whether the target object is in a predefined abnormal state based on the behavioral features of the target object.
[0009] The central control module is used to control the opening of the car windows to alleviate the abnormal state of the target object when it is determined that the target object is in the abnormal state.
[0010] According to a second aspect of the present invention, a method for controlling vehicle windows is provided, the method comprising:
[0011] Acquire an image of the target object inside the car;
[0012] Extract the behavioral features of the target object in the image, and determine whether the target object is in a predefined abnormal state based on the behavioral features of the target object;
[0013] If it is determined that the target object is in the abnormal state, the window is opened to alleviate the abnormal state of the target object.
[0014] According to a third aspect of the present invention, an electronic device is provided, comprising:
[0015] processor;
[0016] Memory used to store processor-executable instructions;
[0017] The processor implements the method as described in any one of the second aspects by executing the executable instructions.
[0018] According to a fourth aspect of the present invention, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the methods described in the second aspect.
[0019] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:
[0020] In an embodiment of the present invention, on the one hand, an image of a target object inside a car is captured by a camera, so that the image processing module can determine whether the target object is in an abnormal state based on the behavioral characteristics of the target object in the image, so that the car can determine the abnormal state of the target object inside the car; on the other hand, the window is opened by the central control module when the target object is in an abnormal state, so as to alleviate the abnormal state of the target object, thereby realizing the automatic opening of the window without the target object's active participation. Attached Figure Description
[0021] To more clearly illustrate the technical solutions of the present invention, the accompanying drawings used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention, and those skilled in the art can obtain other drawings based on these drawings without any creative effort.
[0022] Figure 1 This is a schematic diagram of the architecture of a vehicle window control system as shown in an embodiment of the present invention;
[0023] Figure 2a This is a schematic diagram of a camera according to an embodiment of the present invention;
[0024] Figure 2b This is a schematic diagram of another camera shown in an embodiment of the present invention;
[0025] Figure 3 This is a schematic diagram of an image processing module shown in an embodiment of the present invention;
[0026] Figure 4 This is a schematic diagram of another image processing module shown in an embodiment of the present invention;
[0027] Figure 5This is a flowchart illustrating a training method for an abnormal state determination module according to an embodiment of the present invention;
[0028] Figure 6 This is a flowchart illustrating a method for detecting a window closing operation according to an embodiment of the present invention;
[0029] Figure 7 This is a schematic diagram of another vehicle window control system architecture shown in the disclosed embodiments of the present invention;
[0030] Figure 8 This is a flowchart illustrating a vehicle window control method according to an embodiment of the present invention;
[0031] Figure 9 This is a schematic structural diagram of an electronic device shown in an embodiment of the present invention;
[0032] Figure 10 This is a block diagram of a vehicle window control device shown in an embodiment of the present invention. Detailed Implementation
[0033] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the present invention.
[0034] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular forms “a,” “the,” and “the” used in this invention and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.
[0035] It should be understood that although the terms first, second, third, etc., may be used in this invention to describe various information, this information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, first information may also be referred to as second information without departing from the scope of this invention, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to a determination."
[0036] The embodiments of the weather data generation method of the present invention will be described in detail below with reference to the accompanying drawings.
[0037] Figure 1This is a schematic diagram of the architecture of a vehicle window control system according to an embodiment of the present invention. The system may include: a camera 11, an image processing module 12, a central control module 13, and a vehicle window 14.
[0038] The camera 11 is used to capture images of target objects inside the car.
[0039] The camera is a vehicle-mounted camera with recording capabilities. The target can be the driver or passengers inside the car. The target can be limited to one person (such as the driver) or multiple people (e.g., the people in the driver's and front passenger seats, or all drivers and passengers in the car).
[0040] In one embodiment, camera 11 may consist of only one camera, which can be positioned anywhere on the vehicle. For example, if the target is the driver, the camera could be a miniature camera mounted on the steering wheel. Figure 2a As shown, a camera 21 is located in the center of the steering wheel 22. The camera 21 can take close-up pictures of the driver, and other passengers in the car will not enter the shooting range, thereby achieving the purpose of targeted shooting and avoiding interference from other passengers with the shooting effect.
[0041] In another embodiment, camera 11 can also be a camera group comprising multiple cameras positioned within the vehicle. For example, when the target is all occupants of the vehicle, cameras can be positioned directly above each seat. Figure 2b As shown, cameras 23 and 24 are both mounted on the roof 25 of the car. The shooting range of camera 23 can cover the rear seat 26 of the car, and the shooting range of camera 24 can cover the front seat 27 of the car. The shooting range of the camera group consisting of camera 23 and camera 24 can cover all seats of the car, thereby judging the status of all people in the car and avoiding missed judgments due to the small shooting range.
[0042] Images captured by the camera can be in the form of photographs or videos. This instruction manual does not impose any restrictions on this.
[0043] The image processing module 12 is used to extract the behavioral features of the target object in the image captured by the camera, and determine whether the target object is in a predefined abnormal state based on the behavioral features of the target object.
[0044] When the camera captures an image of the target object, the camera can actively send the captured image to the image processing module, or the image processing module can periodically send image acquisition requests to the camera to obtain the image.
[0045] In one scenario, the image processing module can be configured on a piece of hardware in the vehicle, allowing the vehicle itself to process the image more efficiently. In another scenario, the image processing module can be configured on a remote server connected to the vehicle, where the image is processed by a more powerful server, resulting in more complete extracted behavioral features and thus improving the accuracy of image processing.
[0046] Abnormal states can include at least one of the following: motion sickness, difficulty breathing, smoking, or the smell of smoke waving around the mouth and nose. An abnormal state can be determined based on a single action or multiple actions of the target individual. For example, smoking can be determined based on the action of the target individual holding a cigarette in their mouth; motion sickness requires multiple actions such as covering the head or frowning to be determined.
[0047] The main control module 13 is used to control the window 14 to open in order to alleviate the abnormal state of the target object when it is determined that the target object is in the abnormal state.
[0048] The central control module 13 is installed in the vehicle and is connected to the camera 11, the image processing module 12, and the window 14. The central control module can send commands to its connected objects to enable them to perform specific operations based on the received commands. Specifically, the commands can be distinguished based on the level signal.
[0049] Taking window 14 as an example, the main control module 13 can control the opening or closing of window 14 through the window controller. When the main control module 13 sends a high-level signal to the window controller, the window controller controls window 14 to open; when the main control module 13 sends a low-level signal to the window controller, the window controller controls window 14 to close. Of course, the main control module 13 can control the opening of window 14 in more ways than this, and this manual does not limit this.
[0050] In this embodiment, on the one hand, an image of the target object inside the car is captured by a camera, so that the image processing module can determine whether the target object is in an abnormal state based on the behavioral characteristics of the target object in the image, so that the car can determine the abnormal state of the target object inside the car; on the other hand, the window is opened by the central control module when the target object is in an abnormal state, so as to alleviate the abnormal state of the target object, thereby realizing the automatic opening of the window without the target object's active participation.
[0051] In one embodiment, determining whether the target object is in a predefined abnormal state based on the behavioral characteristics of the target object includes: the image processing module obtaining behavioral characteristics of the target object in the abnormal state from a database, and comparing the behavioral characteristics of the target object with the obtained behavioral characteristics; if the behavioral characteristics of the target object and the obtained behavioral characteristics match, the target object is in the abnormal state; if the behavioral characteristics of the target object and the obtained behavioral characteristics do not match, the target object is not in the abnormal state.
[0052] As mentioned earlier, the image processing module can be configured on a hardware component of the vehicle or on a remote server connected to the vehicle. If the image processing module is configured on a hardware component of the vehicle, the database can also be located on the vehicle's storage-enabled hardware; if the image processing module is configured on a remote server, the database can also be located on that remote server or on a storage server connected to that remote server.
[0053] The database maintains behavioral characteristics that match different predefined abnormal states. For example, the behavioral actions that match the state of difficulty breathing are often an open mouth and large chest rise and fall. The behavioral characteristics corresponding to these actions are the behavioral characteristics that match the state of difficulty breathing.
[0054] Figure 3 This is a schematic diagram illustrating an image processing module according to an exemplary embodiment of the present invention, such as... Figure 3 As shown, the image processing module 30 can acquire images from the camera 31 and extract behavioral features of the target object in the images. The image processing module 30 can also acquire behavioral features of abnormal states from the database 32 and compare the behavioral features of the target object with the behavioral features of the abnormal states to obtain a comparison result. If the comparison result is a match, the target object is in an abnormal state; if the comparison result is a mismatch, the target object is in a normal state.
[0055] In this embodiment, the behavioral features that match the abnormal state are maintained in the database. The image processing module only needs to retrieve them from the database to complete the determination of the abnormal state, which improves the determination efficiency.
[0056] In one embodiment, determining whether the target object is in a predefined abnormal state based on the behavioral characteristics of the target object includes: the image processing module determining whether the target object is in a predefined abnormal state based on a pre-trained abnormal state judgment model.
[0057] like Figure 4As shown, the image processing module 40 can acquire images from the camera 41 and extract behavioral features of the target object in the images. The image processing module 40 can also input the extracted behavioral features into an abnormal state determination model, which outputs a determination result. The determination result can be any predefined abnormal state or a "normal state". As for the construction method of the abnormal state determination model, it can be constructed using deep learning methods or other methods; this specification does not impose any restrictions on this.
[0058] In this embodiment, the abnormal state of the target object is determined by the abnormal state determination model, which eliminates the need to call the database storage, simplifies the determination process, and improves the determination efficiency.
[0059] like Figure 5 As shown, the training process of this abnormal state determination model may include the following steps:
[0060] Step 502: Obtain a training sample set, which includes a set of behavioral features of the target object and a set of real states that match the set of behavioral features.
[0061] Step 504: Input the set of behavioral features into the abnormal state determination model to obtain the set of predicted states through the abnormal state determination model.
[0062] Step 506: Optimize the abnormal state determination model based on the actual state set and the predicted state set, so that the abnormal state determination model can be used to determine the abnormal state of the target object.
[0063] Specifically, the proportion of samples that are incorrectly identified as abnormal states can be calculated. If this proportion exceeds a preset threshold (e.g., 10%), the abnormal state identification model is optimized. If this proportion does not exceed the preset threshold, the abnormal state identification model is considered to have completed training.
[0064] In this embodiment, the abnormal state determination model is optimized by comparing the real state set with the predicted state set. This allows the trained abnormal state determination model to be used to determine the abnormal state of the target object, thereby controlling the window to open when the target object is in an abnormal state, thus alleviating the abnormal state of the target object.
[0065] In one embodiment, the system further includes: a detection module, configured to detect whether the target object triggers a window closing operation within a preset time after the window is opened, and to send a sleep notification to the central control module if the window closing operation is detected; the central control module is further configured to control the window control system to enter a sleep state upon receiving the sleep notification.
[0066] The following is combined Figure 6 This embodiment will be described in detail. Figure 6 This is a flowchart illustrating an exemplary embodiment of the present invention for detecting a window closing operation, which may specifically include the following steps:
[0067] Step 602: The central control module opens the windows. Step 604: The detection module begins detection.
[0068] If the central control module opens a window based on an abnormal state of the target object, the detection module can be triggered to detect the target object's window-closing operation. Specifically, the window-closing operation can be triggered by the window close button; that is, if the window close button is triggered, it is determined that the target object has triggered the window-closing operation. When the target object is all people in the car, triggering any window close button on the car is considered as the target object triggering the window-closing operation. When the target object is some people in the car, taking the driver as an example, only triggering the window close button on the driver's side is considered as the target object triggering the window-closing operation; triggering the window close buttons on other passengers' seats is not considered as the target object triggering the window-closing operation.
[0069] Of course, the detection method is not limited to this. For example, it may also include: receiving the target object's voice signal through the voice receiving system installed in the car, and determining that the target object has triggered the window closing operation when it emits the voice signal of "close the window". This manual does not limit the specific detection method.
[0070] Step 606: Has the target object triggered a window closing operation? If not, return to step 604 and continue the detection; if yes, proceed to step 608: Is it within the preset time?
[0071] The timer can be set to determine a preset time. This timer can be set within the main control module, the detection module, or independently outside of both. When the main control module controls the window to open, the timer can be triggered to start counting, and it will stop immediately when the preset time (e.g., 30 seconds) is reached.
[0072] If the target object does not trigger the window closing operation within the preset time, proceed to step 612 to end the detection; if the target object triggers the window closing operation within the preset time, proceed to step 610, and the window control system enters a sleep state. When the detection module determines that the window closing operation was triggered within the preset time, it can send a sleep notification to the main control module, which then controls the window control system to enter a sleep state. When the window control system is in a sleep state, only the main control module is active; all other modules (e.g., camera, image processing module, detection module) cease operation.
[0073] In this embodiment, a detection module detects whether the target object triggers a window-closing operation within a preset time, so that the car window will no longer open automatically even if the target object is in an abnormal state and has no intention of opening the window.
[0074] In one embodiment, the system further includes: a switch module, configured to send an opening command to the central control module when a system opening operation of the target object is detected; and to send a closing command to the central control module when a system closing operation of the target object is detected; the central control module is further configured to control the window control system to enter a working state when the opening command is received; and to control the window control system to enter a sleep state when the closing command is received.
[0075] like Figure 7 As shown, in Figure 1 Based on this, the window control system may also include a detection module 16 and a switch module 15. The switch module 15 is connected to the main control module 13. A switch button for the window control system can be installed on the vehicle. When this switch button is triggered, it can be determined that the target object has triggered a system opening or closing operation.
[0076] In this embodiment, the target object can freely open or close the window control system, thereby preventing the windows from opening automatically when the target object does not want to open the windows.
[0077] Figure 8 This is a flowchart illustrating an exemplary embodiment of the present invention for a vehicle window control method, which may specifically include the following steps:
[0078] Step 802: Obtain an image of the target object inside the car.
[0079] Step 804: Extract the behavioral features of the target object in the image, and determine whether the target object is in a predefined abnormal state based on the behavioral features of the target object.
[0080] As previously stated, the abnormal state includes at least one of the following: motion sickness, difficulty breathing, smoking, or smelling smoke when waving one's mouth and nose.
[0081] As mentioned above, determining whether the target object is in a predefined abnormal state based on its behavioral characteristics includes: obtaining behavioral characteristics of the target object in the abnormal state from a database, and comparing the behavioral characteristics of the target object with the obtained behavioral characteristics; if the behavioral characteristics of the target object match the obtained behavioral characteristics, the target object is in the abnormal state; if the behavioral characteristics of the target object do not match the obtained behavioral characteristics, the target object is not in the abnormal state. In this embodiment, the behavioral characteristics matching the abnormal state are maintained in the database, and the image processing module only needs to obtain them from the database to complete the determination of the abnormal state, thus improving the determination efficiency.
[0082] As mentioned above, determining whether the target object is in a predefined abnormal state based on its behavioral characteristics includes: the image processing module determining whether the target object is in a predefined abnormal state based on a pre-trained abnormal state determination model. In this embodiment, the abnormal state of the target object is determined by the abnormal state determination model, eliminating the need to access database storage, simplifying the determination process, and improving determination efficiency.
[0083] Step 806: If it is determined that the target object is in the abnormal state, control the window to open to alleviate the abnormal state of the target object.
[0084] In this embodiment, on the one hand, by acquiring images of the target object inside the car and determining whether the target object is in an abnormal state based on the behavioral characteristics of the target object in the images, the car can determine the abnormal state of the target object inside the car; on the other hand, by controlling the opening of the car window when the target object is in an abnormal state, the abnormal state of the target object is alleviated, thereby realizing the automatic opening of the car window without the target object's active participation.
[0085] As mentioned earlier, within a preset time after the window is opened, it is detected whether the target object triggers a window-closing operation, and if such an operation is detected, control of the window is stopped. In this embodiment, a detection module detects whether the target object triggers a window-closing operation within a preset time, so that the window will not open automatically even if the target object is in an abnormal state and has no intention of opening the window.
[0086] As mentioned earlier, when the system of the target object is detected to be turned on, control of the window is activated; when the system of the target object is detected to be turned off, control of the window is deactivated. In this embodiment, the target object can freely turn the window control system on or off, thereby preventing the window from opening automatically when the target object does not want to open the window.
[0087] Corresponding to the embodiments of the foregoing methods, the present invention also provides embodiments of devices, electronic devices, and vehicles.
[0088] Figure 9 This is a schematic structural diagram of an electronic device according to an embodiment of the present invention. Please refer to it. Figure 9 At the hardware level, the device includes a processor 901, a network interface 902, memory 903, non-volatile memory 904, and an internal bus 905, and may also include other hardware required for business operations. One or more embodiments of the present invention can be implemented in software, for example, the processor 901 reads the corresponding computer program from the non-volatile memory 904 into the memory 903 and then runs it. Of course, in addition to the software implementation, one or more embodiments of the present invention do not exclude other implementation methods, such as logic devices or a combination of hardware and software, etc. That is to say, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices. In this embodiment, on the one hand, the camera captures the image of the target object inside the car, so that the image processing module can determine whether the target object is in an abnormal state based on the behavioral characteristics of the target object in the image, so that the car can determine the abnormal state of the target object inside the car; on the other hand, the central control module controls the opening of the car window when the target object is in an abnormal state, so as to alleviate the abnormal state of the target object, thereby realizing the automatic opening of the car window without the target object's active participation.
[0089] Figure 10 This invention illustrates a block diagram of a vehicle window control device according to an embodiment of the invention. Please refer to... Figure 10 This device can be applied to, for example Figure 10 The device shown, in order to implement the technical solution described in this invention, includes:
[0090] Acquisition unit 1002 is used to acquire images of target objects inside the vehicle;
[0091] Extraction unit 1004 is used to extract the behavioral features of the target object in the image, and determine whether the target object is in a predefined abnormal state based on the behavioral features of the target object;
[0092] Control unit 1006 is used to control the opening of the vehicle window when it is determined that the target object is in the abnormal state.
[0093] Optionally, the extraction unit 1004 is specifically used for:
[0094] Retrieve the behavioral characteristics of the target object in the abnormal state from the database, and compare the behavioral characteristics of the target object with the retrieved behavioral characteristics;
[0095] If the behavioral characteristics of the target object match the acquired behavioral characteristics, the target object is in the abnormal state; if the behavioral characteristics of the target object do not match the acquired behavioral characteristics, the target object is not in the abnormal state.
[0096] Optionally, the method further includes:
[0097] The detection unit 1008 is used to detect whether the target object triggers a window closing operation within a preset time after the window is opened, and to stop controlling the window if the window closing operation is detected.
[0098] Optionally, the method further includes:
[0099] The opening unit 1010 is used to open the control of the vehicle window when the system opening operation of the target object is detected;
[0100] The deactivation unit 1012 is used to stop controlling the window when a system shutdown operation of the target object is detected.
[0101] Optionally, the abnormal state includes at least one of the following: motion sickness, difficulty breathing, smoking, or smelling smoke when waving one's mouth and nose.
[0102] In this embodiment, on the one hand, an image of the target object inside the car is captured by a camera, so that the image processing module can determine whether the target object is in an abnormal state based on the behavioral characteristics of the target object in the image, so that the car can determine the abnormal state of the target object inside the car; on the other hand, the window is opened by the central control module when the target object is in an abnormal state, so as to alleviate the abnormal state of the target object, thereby realizing the automatic opening of the window without the target object's active participation.
[0103] While this invention contains numerous specific details, these should not be construed as limiting the scope of any invention or the scope of the claims, but rather are primarily intended to describe features of specific embodiments of particular inventions. Certain features described in the multiple embodiments of this invention may also be implemented in combination in a single embodiment. On the other hand, various features described in a single embodiment may also be implemented separately in multiple embodiments or in any suitable sub-combination. Furthermore, while features may function in certain combinations as described above and even initially claimed in this way, one or more features from a claimed combination may be removed from that combination in some cases, and a claimed combination may refer to a sub-combination or a variation of a sub-combination.
[0104] Similarly, although the operations are depicted in a specific order in the accompanying drawings, this should not be construed as requiring these operations to be performed in the specific order shown or sequentially, or requiring all illustrated operations to be performed to achieve the desired result. In some cases, multitasking and parallel processing may be advantageous. Furthermore, the separation of various system modules and components in the above embodiments should not be construed as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product or packaged into multiple software products.
[0105] Thus, specific embodiments of the subject matter have been described. Other embodiments are within the scope of the appended claims. In some cases, the actions recited in the claims may be performed in a different order and still achieve the desired result. Furthermore, the processes depicted in the drawings are not necessarily shown in a specific order or sequence to achieve the desired result. In some implementations, multitasking and parallel processing may be advantageous.
[0106] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.
Claims
1. A vehicle window control system, characterized in that, The system includes: A camera used to capture images of target objects inside a car; The image processing module is used to extract the behavioral features of the target object in the image captured by the camera, and determine whether the target object is in a predefined abnormal state based on the behavioral features of the target object. The detection module is used to detect whether the target object triggers the window closing operation within a preset time after the window is opened, and to send a sleep notification to the central control module when the window closing operation is detected. The master control module is used to control the windows to open to alleviate the abnormal state of the target object when it is determined that the target object is in the abnormal state; and to control the window control system to enter the sleep state when the sleep notification is received.
2. The system according to claim 1, characterized in that, Determining whether the target object is in a predefined abnormal state based on the behavioral characteristics of the target object includes: The image processing module obtains the behavioral characteristics of the target object in the abnormal state from the database, and compares the behavioral characteristics of the target object with the obtained behavioral characteristics; If the behavioral characteristics of the target object match the acquired behavioral characteristics, the target object is in the abnormal state; if the behavioral characteristics of the target object do not match the acquired behavioral characteristics, the target object is not in the abnormal state.
3. The system according to claim 1, characterized in that, The system also includes: The switch module is used to send an on command to the main control module when a system on operation of the target object is detected; and to send a off command to the main control module when a system off operation of the target object is detected. The master control module is also used to control the window control system to enter the working state when receiving the opening command; and to control the window control system to enter the sleep state when receiving the closing command.
4. The system according to claim 1, characterized in that, The abnormal state includes at least one of the following: motion sickness, difficulty breathing, smoking, or smelling smoke when waving your mouth and nose.
5. A method for controlling vehicle windows, characterized in that, The method includes: Acquire an image of the target object inside the car; Extract the behavioral features of the target object in the image, and determine whether the target object is in a predefined abnormal state based on the behavioral features of the target object; If it is determined that the target object is in the abnormal state, the window is opened to alleviate the abnormal state of the target object. Within a preset time after the window is opened, the system detects whether the target object triggers a window-closing operation, and stops controlling the window if the window-closing operation is detected.
6. The method according to claim 5, characterized in that, Determining whether the target object is in a predefined abnormal state based on the behavioral characteristics of the target object includes: Retrieve the behavioral characteristics of the target object in the abnormal state from the database, and compare the behavioral characteristics of the target object with the retrieved behavioral characteristics; If the behavioral characteristics of the target object match the acquired behavioral characteristics, the target object is in the abnormal state; if the behavioral characteristics of the target object do not match the acquired behavioral characteristics, the target object is not in the abnormal state.
7. The method according to claim 5, characterized in that, The method further includes: Upon detecting a system activation operation on the target object, control of the vehicle window is activated; If a system shutdown operation is detected on the target object, control of the vehicle window is stopped.
8. The method according to claim 5, characterized in that, The abnormal state includes at least one of the following: motion sickness, difficulty breathing, smoking, or smelling smoke when waving your mouth and nose.
9. An electronic device, characterized in that, include: processor; Memory used to store processor-executable instructions; The processor implements the method as described in any one of claims 5 to 8 by executing the executable instructions.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by a processor, it implements the steps of the method as described in any one of claims 5 to 8.