Anti-false alarm vehicle monitoring system, method and vehicle

Abstract

The present application provides a false alarm prevention vehicle monitoring system, method, and vehicle. The system includes: a vehicle controller, a perception module, and an alarm module; wherein the perception module includes at least a wake-up device, an image acquisition device, and an onboard sensor; wherein the alarm module includes at least an alarm; the vehicle controller is connected to the perception module and the alarm module, respectively, and the vehicle controller is used to receive a wake-up signal collected by the wake-up device, an operation signal collected by the onboard sensor, and a facial image collected by the image acquisition device; and execute a vehicle alarm operation when the wake-up signal, operation signal, and facial image all meet the alarm conditions. The monitoring system provided by the present invention solves the problem of frequent false alarms in existing vehicle monitoring systems in different usage scenarios and environments.

Description

Technical Field

[0001] The present application relates to the technical field of vehicle anti-theft systems, and in particular to a false alarm prevention vehicle monitoring system, method, and vehicle. Background Art

[0002] As an important component of the Vehicle Anti-Theft System (VATS), vehicle monitoring devices can provide real-time monitoring and protection of vehicles and provide timely information and feedback to vehicle owners to protect vehicles from theft or damage, effectively improving vehicle safety and reliability.

[0003] Conventional vehicle monitoring systems often detect theft by detecting vibrations at specific locations or touch signals on key parts. If these parts are operated or touched inappropriately, the system triggers an alarm. However, when vehicles are parked on the roadside or in older residential areas, the chance of animals or children accidentally touching them increases significantly, often leading to increased alarm frequency. Frequent alarms, especially at night, can lead to complaints, disrupting the lives of neighbors, and even leading to vehicle damage in retaliation. Summary of the Invention

[0004] In view of the above problems, one of the purposes of this application is to provide a vehicle monitoring system that prevents false alarms, so as to solve the problem of frequent false alarms in existing vehicle monitoring systems in different usage scenarios and environments; the second purpose of this application is to provide a vehicle monitoring method that prevents false alarms, so as to improve the accuracy and reliability of vehicle alarms and reduce the risk of false alarms; the third purpose of this application is to provide a vehicle.

[0005] To achieve the above objectives, a first aspect of an embodiment of the present invention provides a false alarm prevention vehicle monitoring system, and the technical solution of the present invention is implemented as follows:

[0006] A false alarm prevention vehicle monitoring system, the system includes: a vehicle controller, a perception module and an alarm module; wherein the perception module at least includes a wake-up device, an image acquisition device and a vehicle-mounted sensor; wherein,

[0007] The alarm module at least includes an alarm;

[0008] The vehicle controller is connected to the perception module and the alarm module respectively, and is used to receive the wake-up signal collected by the wake-up device, the operation signal collected by the vehicle-mounted sensor, and the facial image collected by the image acquisition device; when the wake-up signal, the operation signal and the facial image all meet the alarm conditions, send an alarm instruction to the alarm;

[0009] The alarm device is used to perform a vehicle alarm operation according to the alarm instruction.

[0010] Optionally, the vehicle-mounted sensor includes a touch sensor and / or a vibration sensor;

[0011] The alarm conditions include:

[0012] The wake-up signal includes a target size signal collected by the wake-up device;

[0013] The operation signal includes at least one of a target touch signal and a target vibration signal; wherein the target touch signal is characterized by a touch threshold signal collected by the touch sensor; and the target vibration signal is characterized by a vibration threshold signal collected by the vibration sensor;

[0014] The facial image is an image of a target person captured by the image capture device.

[0015] Optionally, the alarm mode of the vehicle controller includes: white list mode, gray list mode and black list mode; wherein,

[0016] The whitelist mode includes non-target person images;

[0017] The grey list mode includes non-target size signals and non-target operation signals;

[0018] The blacklist mode includes the wake-up signal, the operation signal, and the facial image that meet the alarm condition;

[0019] The vehicle controller is configured to determine an alarm mode based on the received wake-up signal, the operation signal, and the facial image;

[0020] When the alarm mode is the whitelist mode, the vehicle controller is configured to stop receiving various signals;

[0021] When the alarm mode is the gray list mode, the vehicle controller is configured to store the received facial image;

[0022] When the alarm mode is the blacklist mode, the vehicle controller is configured to send an alarm instruction to the alarm.

[0023] Optionally, the wake-up signal further includes a trigger wake-up signal that the wake-up device starts collecting within a monitoring area; the monitoring area is characterized as a preset radius range with the vehicle as the center; wherein,

[0024] The vehicle controller is configured to receive the trigger wake-up signal monitored by the wake-up device, control the vehicle-mounted sensor to acquire the operation signal, and control the image acquisition device to acquire the facial image.

[0025] Optionally, the alarm module further includes vehicle body parts and a user terminal;

[0026] The vehicle controller is configured to, when at least one of the wake-up signal, the operation signal, and the facial image satisfies an alarm condition, send a locking instruction to the vehicle body component and send a vehicle safety reminder message to the user terminal;

[0027] The vehicle body component is used to perform a vehicle locking operation according to the locking instruction.

[0028] Optionally, the system further comprises: a power management module; wherein the power management module comprises a first battery and a second battery connected in parallel, and each battery is connected to a power sensor in a one-to-one correspondence;

[0029] The power management module is connected to the power generation module and the vehicle controller respectively;

[0030] The power management module is used to receive the electric energy provided by the power generation module and supply power to the vehicle controller.

[0031] A second aspect of the embodiments of the present invention further provides a false alarm prevention vehicle monitoring method, which is used in the false alarm prevention vehicle monitoring system provided in the first aspect of the embodiments of the present invention. The method includes:

[0032] The vehicle controller receives the wake-up signal collected by the wake-up device, the operation signal collected by the vehicle-mounted sensor, and the facial image collected by the image acquisition device;

[0033] When the wake-up signal, the operation signal and the facial image all meet the alarm conditions, the vehicle controller sends an alarm instruction to the alarm in the alarm module;

[0034] The alarm device performs a vehicle alarm operation according to the alarm instruction.

[0035] Optionally, when the wake-up signal, the operation signal, and the facial image all meet alarm conditions, the method includes:

[0036] The alarm conditions include:

[0037] The wake-up signal includes a target size signal collected by the wake-up device;

[0038] The operation signal includes at least one of a target touch signal and a target vibration signal; wherein the target touch signal is characterized by a touch threshold signal collected by a touch sensor in the alarm module; and the target vibration signal is characterized by a vibration threshold signal collected by a vibration sensor in the alarm module;

[0039] The facial image is an image of a target person captured by the image capture device.

[0040] Optionally, the alarm mode of the vehicle controller includes: whitelist mode, graylist mode and blacklist mode;

[0041] When the wake-up signal, the operation signal, and the facial image all meet the alarm conditions, sending an alarm instruction to the alarm device includes:

[0042] Determining its own alarm mode based on the received wake-up signal, the operation signal, and the facial image;

[0043] When the alarm mode is the whitelist mode, stop receiving each signal;

[0044] When the alarm mode is the gray list mode, storing the received facial image;

[0045] When the alarm mode is the grey list mode, an alarm instruction is sent to the alarm.

[0046] Optionally, the vehicle controller receives the wake-up signal collected by the wake-up device, the operation signal collected by the vehicle-mounted sensor, and the facial image collected by the image collection device, including:

[0047] The vehicle controller receives a trigger wake-up signal monitored by the wake-up device; the trigger wake-up signal is characterized by a wake-up signal that the wake-up device starts to collect within the monitoring area;

[0048] Based on the trigger wake-up signal, the vehicle controller controls the on-board sensor to collect the operation signal, and the image acquisition device to collect the facial image.

[0049] Optionally, after the vehicle controller receives the wake-up signal collected by the wake-up device, the operation signal collected by the vehicle-mounted sensor, and the facial image collected by the image collection device, the following steps are performed:

[0050] When at least one of the wake-up signal, the operation signal, and the facial image satisfies an alarm condition, the vehicle controller sends a locking instruction to the vehicle body components in the alarm module and sends a vehicle safety reminder message to the user terminal in the alarm module;

[0051] The vehicle body component performs a vehicle locking operation according to the locking instruction.

[0052] Optionally, before the vehicle controller receives the wake-up signal collected by the wake-up device, the operation signal collected by the vehicle-mounted sensor, and the facial image collected by the image collection device, the following steps are included:

[0053] The vehicle controller receives electric energy provided by the power management module; wherein the power management module includes a first battery and a second battery connected in parallel, and each battery is connected to a power sensor in a one-to-one correspondence;

[0054] When the first battery stops supplying power to the vehicle controller, the second battery supplies power to the vehicle controller.

[0055] The third aspect of the embodiment of the present invention further provides a vehicle, which is equipped with the anti-false alarm vehicle monitoring system provided by the first aspect of the present invention, and / or the anti-false alarm vehicle monitoring method provided by the second aspect of the present invention.

[0056] Compared with the prior art, the parking method of the present invention has the following advantages:

[0057] In an embodiment of the present invention, the anti-false alarm vehicle monitoring system comprises: a vehicle controller, a sensing module, and an alarm module; wherein the sensing module comprises at least a wake-up device, an image acquisition device, and an onboard sensor; wherein the alarm module comprises at least an alarm; the vehicle controller is connected to the sensing module and the alarm module, respectively, and is configured to receive a wake-up signal acquired by the wake-up device, an operation signal acquired by the onboard sensor, and a facial image acquired by the image acquisition device; and, if the wake-up signal, the operation signal, and the facial image all meet an alarm condition, send an alarm instruction to the alarm; and the alarm is configured to execute a vehicle alarm operation according to the alarm instruction. In this system, the vehicle alarm is triggered when the vehicle controller relies on the wake-up device, the image acquisition device, and the onboard sensor to determine the alarm. This avoids alarms triggered by accidental contact with moving objects such as animals or children, as well as alarms triggered by the vehicle owner or trusted personnel using the vehicle, thereby improving the accuracy and reliability of the alarm and effectively preventing false alarms. This prevents the vehicle anti-theft system from interfering with the surrounding environment and preventing the surrounding environment from being disturbed by unwarranted horn honking and lights flashing.

[0058] The anti-false alarm vehicle monitoring method and the vehicle provided in the embodiment of the present invention have the same advantages as the anti-false alarm vehicle monitoring system described above over the prior art, which will not be described in detail here. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solution of the present application, the following is a brief introduction to the drawings required for the description of the present application. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0060] Figure 1 1 is a schematic diagram of a framework of a vehicle monitoring system for preventing false alarms according to an embodiment of the present application;

[0061] Figure 2 1 is a schematic diagram of a framework of a vehicle monitoring system for preventing false alarms according to another embodiment of the present application;

[0062] Figure 3 This is a diagram showing the overall structure of a vehicle monitoring system for preventing false alarms according to another embodiment of the present application;

[0063] Figure 4 This is a judgment principle diagram of an anti-false alarm vehicle monitoring system provided by another embodiment of the present application;

[0064] Figure 5 This is a control strategy diagram of a false alarm prevention vehicle monitoring system provided by another embodiment of the present application;

[0065] Figure 6 This is a schematic diagram of a monitoring area of ​​a wake-up device provided in another embodiment of the present application;

[0066] Figure 7 This is a flowchart of the steps of the anti-false alarm vehicle monitoring method provided in one embodiment of the present application. DETAILED DESCRIPTION

[0067] To make the above-mentioned purposes, features, and advantages of this application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and specific embodiments. It is apparent that the embodiments described are only a portion of the embodiments of this application, not all of them. All other embodiments derived by persons of ordinary skill in the art based on the embodiments in this application without inventive effort are also within the scope of protection of this application.

[0068] Example 1

[0069] Reference Figure 1-3 As shown, Figure 1 A schematic diagram of a framework of a false alarm prevention vehicle monitoring system according to the present invention is shown; Figure 2 Another schematic diagram of a framework of a false alarm prevention vehicle monitoring system according to the present invention is shown;

[0070] Figure 3The overall structural framework diagram of the anti-false alarm vehicle monitoring system of the present invention is shown. In the first aspect of the present application, there is provided an anti-false alarm vehicle monitoring system, the system comprising: a vehicle controller, a perception module and an alarm module; wherein the perception module comprises at least a wake-up device, an image acquisition device and an on-board sensor; wherein the alarm module comprises at least an alarm; the vehicle controller is connected to the perception module and the alarm module respectively, and the vehicle controller is used to receive the wake-up signal acquired by the wake-up device, the operation signal acquired by the on-board sensor, and the facial image acquired by the image acquisition device; when the wake-up signal, the operation signal and the facial image all meet the alarm conditions, the vehicle controller sends an alarm instruction to the alarm; the alarm is used to execute the vehicle alarm operation according to the alarm instruction.

[0071] Specifically, the system provided by the present invention is suitable for new energy vehicles, fuel vehicles, and hybrid vehicles. The vehicle controller can be understood as the electronic control unit of the corresponding vehicle type. It is responsible for decoding and executing system modules and user programs, and issuing corresponding control signals to monitor, analyze, and control the vehicle's status and environment. Specifically, the vehicle controller consists of three major components: a storage module, a judgment module, and an execution module. The storage module stores information, the judgment module performs information judgment, and the execution module performs system control.

[0072] The perception module can be understood as an information collection part that obtains various data, signals or information from the environment. It can be composed of various types of sensors, such as GPS, camera, radar, lidar, ultrasonic, infrared, temperature, pressure, fuel consumption and other sensors, and converts mechanical or physical quantities into electrical signals and sends them to the vehicle controller to detect the vehicle's own status and surrounding environment information. In the embodiment of the present invention, the perception module is specifically:

[0073] The wake-up device can be a millimeter-wave radar, which is installed on the body of the vehicle. When a moving object approaches the vehicle, the wake-up device can detect the surrounding moving objects and output a wake-up signal. The moving object can be a person, an animal, or an obstacle. The vehicle controller establishes a connection with the wake-up device and can receive the wake-up signal. The wake-up signal indicates the presence of the moving object and detects whether someone is approaching or attempting to enter the vehicle. In some embodiments, the millimeter-wave radar can determine the distance, speed, shape and size of the moving object by transmitting and receiving millimeter-wave signals based on the reflection, scattering, diffraction and other characteristics of the signal. Since humans and animals have different reflection characteristics under millimeter-wave signals, such as reflection cross-sectional area, reflection coefficient, reflection phase, etc., the millimeter-wave radar can output a size signal carrying size information to distinguish the type of moving object. In this way, the millimeter-wave radar can avoid alarm operations caused by animals or children.

[0074] In some embodiments, upon detecting a moving object entering the monitoring area, the millimeter-wave radar can record the relative position of the moving object and output a trigger wake-up signal containing the moving object's position information, thereby entering a preparatory acquisition mode. Specifically, the vehicle controller establishes a connection with the image acquisition device. When the vehicle controller receives the trigger wake-up signal, it controls the onboard sensors to enter acquisition mode, preparing to capture unusual activity in the vehicle's surroundings. Simultaneously, it controls the image acquisition device to enter acquisition mode, preparing to capture facial images of moving objects around the vehicle.

[0075] The image acquisition device can be a surround view controller and multiple surround view cameras. The multiple surround view cameras can be installed in different parts of the vehicle to capture images around the vehicle and input the images into the vehicle controller. For example, four cameras can be installed in the front, rear, left and right of the vehicle to obtain a full range of vision. The surround view controller integrates and processes the image data received from the multiple cameras to obtain a composite image of the 360° vision around the vehicle. The vehicle controller establishes a connection with the image acquisition device and can receive images of moving objects. The images can be used to record the situation around the vehicle. If an abnormal event occurs, the vehicle controller can save or send the images to a server or client for easy viewing and evidence collection. In this way, the image acquisition device can avoid alarm operations caused by the car owner and his trusted personnel.

[0076] Vehicle-mounted sensors may include vibration sensors and / or touch sensors, where the touch sensors may include hood lock switches, door lock switches, and tailgate lock switches. Multiple touch sensors can be installed on the vehicle's doors, windows, hood, trunk, tires, and other locations as needed to detect whether someone is attempting to open the vehicle's doors, windows, hood, or trunk; multiple vibration sensors can be installed on different locations on the vehicle's chassis as needed to detect whether someone is intentionally damaging or moving the vehicle. Through the configuration of vehicle-mounted sensors, it is possible to detect whether the vehicle is subjected to external forces, such as knocking, prying, dragging, etc., and generate corresponding operation signals, which are sent to the vehicle controller to detect abnormal activities in the vehicle's surrounding environment. In this way, the perception module can avoid alarm operations caused by accidental human contact in specific usage scenarios and environments.

[0077] The alarm module can be understood as a security module that alerts the vehicle owner and implements anti-theft functions. For example, it can trigger an alarm; send safety reminders to the vehicle owner via text message, mobile app, or email; and allow the vehicle owner to remotely control the vehicle, such as disengaging the ignition system or locking the vehicle, to prevent potential theft. The alarm can be triggered by an alarm, which can include an audible alarm and a light alarm to attract attention and alert the vehicle owner or nearby personnel.

[0078] To sum up, only when the wake-up signal, operation signal and facial image collected by the perception module simultaneously meet the alarm conditions, the vehicle controller will output an alarm instruction indicating unauthorized access or potential intrusion to control the alarm module's alarm to trigger sound and light alarms and other operations, thereby avoiding alarms triggered by accidental touch of moving objects such as animals or children, as well as alarms triggered by the owner and his trusted personnel using the vehicle, improving the accuracy and reliability of the alarm, and effectively preventing the occurrence of false alarms, thereby avoiding interference with the surrounding environment by the vehicle anti-theft system, and avoiding affecting the surrounding neighbors due to unreasonable horn honking and light flashing.

[0079] As mentioned above, the vehicle controller can obtain the wake-up signal, operation signal and facial portrait. In actual application, the size information carried by the wake-up signal can be used to distinguish between animals, children and adults; the frequency information carried by the operation signal can be used to distinguish between accidental touch and intentional theft; the biometric information carried by the facial portrait can be used to distinguish between suspects and trusted persons. The above information can be used to divide the list to trigger corresponding security measures. In combination with the above embodiments, in another embodiment, the following technical means can be used:

[0080] The vehicle-mounted sensor includes a touch sensor and / or a vibration sensor;

[0081] The alarm condition includes: the wake-up signal includes a target size signal collected by the wake-up device; the operation signal includes at least one of a target touch signal and a target vibration signal; wherein the target touch signal is characterized by a touch threshold signal collected by the touch sensor; the target vibration signal is characterized by a vibration threshold signal collected by the vibration sensor; and the facial image is an image of the target person collected by the image acquisition device.

[0082] Specifically, combined Figure 4 and Figure 5 As shown, Figure 4 The judgment principle diagram of the anti-false alarm vehicle monitoring system of the present invention is shown; Figure 5The control strategy diagram of the anti-false alarm vehicle monitoring system of the present invention is shown. The millimeter wave radar can detect the size of the moving object and output a size signal. In this embodiment, common animals (cats, dogs, birds, etc.), children and adults have size differences. Among them, animals and children can be classified as non-car theft moving objects, and the vehicle is in a safe state and no alarm is required; while adults can be classified as suspected car theft persons, and the vehicle is in a dangerous state and enters the alarm mode. Through the size of the moving object, the millimeter wave radar can obtain the target size signal. The target size signal can be a size signal of a height greater than or equal to 1500mm and not higher than 2000mm, and a size signal of a width of 400mm-800mm. Size signals outside the target size signal can be considered non-target size signals, for example, non-target size signals can be size signals of a height less than 1500mm or a width less than 400mm. When the target size signal is transmitted to the vehicle controller, it can be understood that the moving object detected by the millimeter wave radar is a suspected car theft person, and the alarm condition is met at this time.

[0083] Onboard sensors can detect abnormal movement of moving objects and output an operation signal. In this embodiment, the operation frequencies for accidental collisions and intentional theft are different. A short-duration operation can be classified as a non-theft moving object, and the vehicle is safe, without an alarm. A high-frequency operation can be classified as a suspected theft, and the vehicle is in danger, entering alarm mode. Based on the operation frequency, the touch sensor can acquire a target touch signal, and the vibration sensor can acquire a target vibration signal. When the touch sensor detects no more than five touch signals and / or the touch duration is no more than 30 seconds, and the vibration sensor detects no more than five vibration signals and / or the touch duration is no more than 30 seconds, these are non-target operation signals. This indicates that the moving object detected by the onboard sensors is not a theft moving object, an accidental collision, and the vehicle is safe, without an alarm. Conversely, when the touch sensor detects more than five touch signals and / or the touch duration is longer than 30 seconds, a touch threshold signal is output; and when the vibration sensor detects more than five vibration signals and / or the touch duration is longer than 30 seconds, a vibration threshold signal is output. When the vehicle controller obtains the touch threshold signal and / or the vibration threshold signal, it can be understood that the moving object detected by the vehicle sensor is a suspected car thief, and the alarm condition is met.

[0084] The image acquisition device can capture the biometric features of a moving object and output a facial image. In this embodiment, the car owner can directly set non-car theft moving objects and car theft suspects. Among them, non-target person images (car owners, family members, and people who frequently use the car) can be classified as non-car theft moving objects, and the vehicle is in a safe state, without the need for an alarm; while target person images (non-car owners, family members, and people who frequently use the car) can be classified as suspected car theft persons, and the vehicle is in a dangerous state and enters alarm mode. When the facial image captured by the vehicle controller is the target person image, it can be understood that the moving object captured by the image acquisition device is a suspected car theft person, and the alarm condition is met at this time.

[0085] As a specific explanation of this embodiment, in one example, when any one of the wake-up signal, the operation signal, and the facial image does not meet the alarm condition, the vehicle controller does not need to send an alarm instruction to the alarm, and can be:

[0086] When the wake-up signal does not meet the alarm condition, the image acquisition device can be in a non-working state and does not need to send the facial image to the vehicle controller to save energy;

[0087] When the operation signal does not meet the alarm condition, the vehicle controller receives the facial image output by the image acquisition device and saves the camera information. The vehicle controller does not need to control the alarm to perform sound and light alarms to save energy.

[0088] When the facial image does not meet the alarm conditions, the vehicle controller receives the facial image output by the image acquisition device, and the vehicle controller does not need to control the alarm to execute the sound and light alarm to save energy.

[0089] Please refer again Figure 4 and Figure 5 , for example, the mode of judging the alarm condition through facial image can be:

[0090] The alarm modes of the vehicle controller include: white list mode, gray list mode and black list mode; wherein,

[0091] The whitelist mode includes non-target person images;

[0092] The grey list mode includes non-target size signals and non-target operation signals;

[0093] The blacklist mode includes the wake-up signal, the operation signal, and the facial image that meet the alarm condition;

[0094] The vehicle controller is configured to determine an alarm mode based on the received wake-up signal, the operation signal, and the facial image;

[0095] When the alarm mode is the whitelist mode, the vehicle controller is configured to stop receiving various signals;

[0096] When the alarm mode is the gray list mode, the vehicle controller is configured to store the received facial image;

[0097] When the alarm mode is the blacklist mode, the vehicle controller is configured to send an alarm instruction to the alarm.

[0098] In this embodiment, the vehicle controller can set up a whitelist, a graylist, and a blacklist. The owner can use the app installed on the mobile phone to collect facial information of non-target persons (including the owner, family members, and people who frequently use the car) through face recognition, obtain the non-target person image, and transmit it through the vehicle network device. The image is stored in the storage module of the vehicle controller to establish a whitelist;

[0099] The sizes of common animals (cats, dogs, birds, etc.) or children can be stored in the storage module of the vehicle controller to obtain non-target size signals; at the same time, the set number or time of touch / vibration can be stored in the storage module of the vehicle controller to obtain non-target operation signals and establish a gray list;

[0100] Moving objects outside the white list and the gray list can be considered to meet the target size signal, target touch signal, target vibration signal and target person image at the same time, and the moving objects that meet the alarm conditions can be divided into the black list.

[0101] In this alarm mode, the control strategy can be:

[0102] First, the millimeter-wave radar performs a preliminary identification of the size of the moving object to determine whether it is an animal or child on the gray list. If it is on the gray list, the vehicle controller saves the camera information;

[0103] If the person is not on the grey list, the image acquisition device is used to identify the person and determine whether he or she is on the white list. If he or she is on the white list, the vehicle controller will not respond to any action, saving energy.

[0104] If it is not on the white list, the vehicle sensor will identify the number or duration of touch / vibration to determine whether it is on the gray list. If it is on the gray list, the vehicle controller will save the video information.

[0105] If it does not belong to the gray list, it is judged to be on the black list, and the vehicle controller controls the alarm to sound and light alarm.

[0106] In this way, millimeter-wave radar performs size recognition, eliminating alarms caused by accidental collisions with animals and children. After eliminating animals and children and confirming that the vehicle is an adult, the image acquisition device performs human identity recognition, eliminating alarms caused by the vehicle owner or trusted personnel operating the vehicle. After eliminating the vehicle owner and trusted personnel as the target person, the on-board sensor identifies accidental collisions and intentional theft, eliminating alarms caused by accidental collisions. This avoids alarms caused by animals or children accidentally touching the vehicle when the vehicle is parked on the roadside or in old residential areas.

[0107] It should be explained that during the whitelist determination process, the image acquisition device establishes a connection with the vehicle controller. The determination module within the vehicle controller extracts the facial image and generates a corresponding biometric value, which is then compared with image samples in a whitelist pre-stored in the vehicle controller's storage module. If the captured facial image does not match any of the whitelisted image samples, it is not on the whitelist. If a match is found, it is on the whitelist, and the vehicle controller does not respond, saving energy.

[0108] It should also be explained that when the gray list judgment is being made, the wake-up device establishes a connection with the vehicle controller, and the judgment module in the vehicle controller identifies and analyzes the size signal, touch signal, and vibration signal, and compares them with the target size signal, target touch signal, and target vibration signal stored in the storage module in the vehicle controller in advance. If the collected size signal meets the target size signal, it belongs to the gray list; otherwise, it does not belong to the gray list. If the collected vibration signal and / or touch signal meets the target touch signal and / or target vibration signal, it belongs to the gray list; otherwise, it does not belong to the gray list.

[0109] In this way, the embodiment of the present invention can set different trigger conditions according to different usage scenarios and environments for separate control, thereby improving vehicle detection accuracy, saving power and reducing the risk of false alarms.

[0110] Reference Figure 6 As shown, Figure 6 Schematic diagram of the monitoring area of ​​the wake-up device; in order to further save electricity, the wake-up signal in the embodiment of the present invention also includes a trigger wake-up signal that the wake-up device starts to collect within the monitoring area; the monitoring area is characterized by a preset radius range with the vehicle as the center; wherein the vehicle controller is used to receive the trigger wake-up signal monitored by the wake-up device, control the on-board sensor to collect the operation signal, and the image acquisition device to collect the facial image.

[0111] In this embodiment, upon detecting a moving object entering the monitoring area, the millimeter-wave radar records the object's relative position and outputs a trigger wake-up signal containing the object's position information, thereby entering a preparatory acquisition mode. Specifically, the vehicle controller establishes a connection with the image acquisition device. Upon receiving the trigger wake-up signal, the vehicle controller controls the onboard sensors to enter acquisition mode, preparing to capture unusual activity in the vehicle's surroundings. Simultaneously, the image acquisition device controls the image acquisition device to enter acquisition mode, preparing to capture facial images of moving objects around the vehicle.

[0112] The monitoring area is set with different danger intervals with the vehicle as the center. For example, a circle with a radius of 2.8m is drawn with the vehicle as the center, and a circle with a radius of 3.2m is drawn with the vehicle as the center. The area between the two is set as a buffer zone ( Figure 6 The hatched area in the figure is the safe area outside 3.2m and the strong monitoring area within 3.0m. Figure 5 and Figure 6 As shown in the figure, when the vehicle is parked and locked, the system activates the millimeter-wave radar to detect surrounding moving objects, centered around the vehicle. Size recognition and other detection are not performed when the moving object is greater than 3m ± 0.2m away, saving energy. When the moving object is within 3m-0.2m of the vehicle, a trigger wake-up signal is output, and the system enters standby mode, starting to collect and analyze operational signals and facial images. When the distance again exceeds 3m ± 0.2m, subsequent detection and operation cease, and only the millimeter-wave radar is used to detect surrounding moving objects.

[0113] In some embodiments, when the moving object is repeatedly located in the buffer zone and the range of 3m-0.2m (more than 3 times), the system also stops subsequent detection and operation to avoid frequent invalid startup of the system. At this time, when the object enters the range of 2m, subsequent operation is entered.

[0114] Example 2:

[0115] Please refer again Figure 1-Figure 5 In combination with the above embodiments, in another embodiment, the alarm module further includes a vehicle body component and a user terminal; the vehicle controller is used to send a locking instruction to the vehicle body component and a vehicle safety reminder message to the user terminal when at least one of the wake-up signal, the operation signal and the facial image meets the alarm condition; the vehicle body component is used to perform a vehicle locking operation according to the locking instruction.

[0116] In this embodiment, the user end can be the vehicle owner's mobile phone. The vehicle controller is connected to the vehicle's internal network connector, which is equipped with a T-BOX. The T-BOX contains a SIM card and uses the data traffic provided by the SIM card to transmit data to the server and the client's mobile phone. It is understood that the system controller and T-BOX can communicate via the CAN bus or Ethernet, enabling two-way transmission of data and commands; the T-BOX and the server can communicate via a 4G or 5G network, enabling two-way transmission of data and commands; and the server and the vehicle owner's mobile phone can communicate via the Internet, enabling two-way transmission of data and commands. When a user issues a remote control command on their mobile phone, the command is sent to the server via the Internet, then to the T-BOX via the 4G or 5G network. Finally, the T-BOX sends the command to the system controller via the CAN bus or Ethernet, and the remote control function is implemented through the system controller's execution module.

[0117] Specifically, when the system enters standby mode, the touch sensors (hood lock switch, door lock switch, tailgate lock switch) and vibration sensors start the detection mode, collect touch and vibration, and input the corresponding operation signals into the vehicle controller; at the same time, the surround view camera collects the facial image of the moving object and inputs it into the vehicle controller. If the vehicle controller determines that it is on the white list, no operation will be performed. If it is on the gray list, only the camera information will be saved. If the vehicle controller determines that it is on the black list, the vehicle controller will not only control the alarm to sound and light alarms, but also continue to take pictures and store the image data in the storage module within the vehicle controller, and transmit it to the user end through the on-board network device. If there is touch and abnormal vibration, the on-board network device will send a warning reminder and video image to the user end, and the execution module of the vehicle controller will control the hood lock switch, door lock switch, and tailgate lock switch to force lock to prevent intrusion.

[0118] In combination with the above embodiments, in one embodiment, the system further includes: a power management module connected to the vehicle controller; the vehicle controller is configured to receive power provided by the power management module; wherein the power management module includes a first battery ( Figure 1 Battery 1) and the second battery ( Figure 1 Battery 2 in the vehicle), each battery is connected to a power sensor in a one-to-one correspondence; when the first battery stops supplying power to the vehicle controller, the second battery supplies power to the vehicle controller.

[0119] Specifically, the system includes a first battery (presumably a conventional starter battery) located in the vehicle's cabin or trunk, and a second battery specifically designed for this system. Both batteries are connected to power sensors 1 and 2, respectively, which monitor the battery levels. The two parallel batteries prevent system failures caused by power shortages. The first and second batteries are connected in parallel to ensure reliable power supply.

[0120] In some embodiments, the first and second batteries are connected in series with the generator, ensuring that both batteries can be charged during normal vehicle operation. This improves charging convenience and ensures the safety of the entire power supply system. It also prevents the first battery from losing power during maintenance, which could cause the system to become inoperable. The generator simultaneously charges the second battery.

[0121] At the same time, in order to ensure the power supply for long-term parking, preferably, this solution is also designed with solar panels and generators. The generator charges the two batteries when the vehicle is driving, and the solar panels can be used to charge the batteries during driving and parking during the day.

[0122] Example 3

[0123] like Figure 7 The present application further provides a method for monitoring a vehicle against false alarms, which is used in the vehicle against false alarms monitoring system provided in the first aspect of the present invention, and the method comprises:

[0124] Step S1: The vehicle controller receives a wake-up signal collected by the wake-up device, an operation signal collected by the vehicle-mounted sensor, and a facial image collected by the image acquisition device;

[0125] Step S2: When the wake-up signal, the operation signal, and the facial image all meet the alarm conditions, the vehicle controller sends an alarm instruction to the alarm in the alarm module;

[0126] Step S3: The alarm device performs a vehicle alarm operation according to the alarm instruction.

[0127] In combination with the above embodiment, in another embodiment, step S2 includes:

[0128] Step S21: The alarm conditions include:

[0129] The wake-up signal includes a target size signal collected by the wake-up device;

[0130] The operation signal includes at least one of a target touch signal and a target vibration signal; wherein the target touch signal is characterized by a touch threshold signal collected by a touch sensor in the alarm module; and the target vibration signal is characterized by a vibration threshold signal collected by a vibration sensor in the alarm module;

[0131] The facial image is an image of a target person captured by the image capture device.

[0132] In combination with the above embodiment, in another embodiment, the alarm mode of the vehicle controller includes: a whitelist mode, a graylist mode and a blacklist mode;

[0133] Step S2 includes:

[0134] Step S21: determining the alarm mode of the device based on the received wake-up signal, the operation signal, and the facial image;

[0135] Step S22: When the alarm mode is the whitelist mode, stop receiving each signal;

[0136] Step S23: When the alarm mode is the gray list mode, storing the received facial image;

[0137] Step S24: When the alarm mode is the gray list mode, an alarm instruction is sent to the alarm.

[0138] In combination with the above embodiment, in another embodiment, step S1 includes:

[0139] Step S11: The vehicle controller receives a trigger wake-up signal monitored by the wake-up device; the trigger wake-up signal is characterized by the wake-up signal collected by the wake-up device in the monitoring area;

[0140] Step S12: Based on the trigger wake-up signal, the vehicle controller controls the vehicle-mounted sensor to collect the operation signal, and the image acquisition device to collect the facial image.

[0141] In combination with the above embodiment, in another embodiment, step S1 includes:

[0142] Step S101: When at least one of the wake-up signal, the operation signal, and the facial image satisfies an alarm condition, the vehicle controller sends a locking instruction to the vehicle body components in the alarm module and sends a vehicle safety reminder message to the user terminal in the alarm module;

[0143] Step S102: The vehicle body components execute a vehicle locking operation according to the locking instruction.

[0144] In combination with the above embodiment, in another embodiment, before step S1, the process includes:

[0145] Step S201: The vehicle controller receives power provided by a power management module; wherein the power management module includes a first battery and a second battery connected in parallel, and each battery is connected to a power sensor in a one-to-one correspondence;

[0146] Step S202: When the first battery stops supplying power to the vehicle controller, the second battery supplies power to the vehicle controller.

[0147] It should be noted that for the method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of the present application are not limited by the order of the actions described, because according to the embodiments of the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present application.

[0148] Based on the same inventive concept, an embodiment of the present application provides a vehicle, which is equipped with an anti-false alarm vehicle monitoring system as provided in the first aspect of the present invention, and / or executes an anti-false alarm vehicle monitoring method as provided in the second aspect of the present invention.

[0149] As for the vehicle embodiment, since it is basically similar to the system embodiment and / or method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the system embodiment and / or method embodiment.

[0150] The various embodiments in this 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 referenced to each other.

[0151] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, devices, or computer program products. Therefore, the embodiments of the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments of the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0152] The embodiments of the present application are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0153] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0154] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device so that a series of operating steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable terminal device to implement the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0155] Although preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they become aware of the basic inventive concepts. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention.

[0156] Finally, it should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or terminal device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or terminal device that includes the element.

[0157] The above is a detailed introduction to the provided anti-false alarm vehicle monitoring system, method and vehicle. Specific examples are used in this article to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method of this application and its core idea; at the same time, for general technical personnel in this field, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on this application.

Claims

1. A false alarm prevention vehicle monitoring system, characterized in that: The system includes: a vehicle controller, a perception module and an alarm module; wherein the perception module at least includes a wake-up device, an image acquisition device and a vehicle-mounted sensor; wherein, The alarm module at least includes an alarm; The vehicle controller is connected to the perception module and the alarm module respectively, and is used to receive the wake-up signal collected by the wake-up device, the operation signal collected by the on-board sensor, and the facial image collected by the image acquisition device; when the wake-up signal, the operation signal and the facial image all meet the alarm conditions, the vehicle controller sends an alarm instruction to the alarm, wherein the on-board sensor includes a touch sensor and / or a vibration sensor, the wake-up signal includes a target size signal collected by the wake-up device; the operation signal includes at least one of a target touch signal and a target vibration signal; wherein the target touch signal is characterized by a touch threshold signal collected by the touch sensor; the target vibration signal is characterized by a vibration threshold signal collected by the vibration sensor; and the facial image is an image of the target person collected by the image acquisition device; The alarm device is used to perform a vehicle alarm operation according to the alarm instruction; The alarm modes of the vehicle controller include: whitelist mode, graylist mode and blacklist mode; wherein the vehicle controller is used to determine the alarm mode based on the received wake-up signal, the operation signal, and the facial image; When the alarm mode is the whitelist mode, the vehicle controller is used to stop receiving various signals; the whitelist mode includes non-target person images; When the alarm mode is the gray list mode, the vehicle controller is used to store the received facial image; the gray list mode includes a non-target size signal and a non-target operation signal; When the alarm mode is the blacklist mode, the vehicle controller is used to send an alarm instruction to the alarm; the blacklist mode includes the wake-up signal, the operation signal, and the facial image that meet the alarm conditions.

2. The anti-false alarm vehicle monitoring system according to claim 1, characterized in that: The wake-up signal also includes a trigger wake-up signal that the wake-up device starts collecting within the monitoring area; the monitoring area is characterized by a preset radius range with the vehicle as the center; wherein, The vehicle controller is configured to receive the trigger wake-up signal monitored by the wake-up device, control the vehicle-mounted sensor to acquire the operation signal, and control the image acquisition device to acquire the facial image.

3. The anti-false alarm vehicle monitoring system according to claim 1, characterized in that: The alarm module also includes body parts and a user terminal; The vehicle controller is configured to, when at least one of the wake-up signal, the operation signal, and the facial image satisfies an alarm condition, send a locking instruction to the vehicle body component and send a vehicle safety reminder message to the user terminal; The vehicle body component is used to perform a vehicle locking operation according to the locking instruction.

4. The anti-false alarm vehicle monitoring system according to claim 1, characterized in that: The system further comprises: a power management module connected to the vehicle controller; The vehicle controller is used to receive the electric energy provided by the power management module; The power management module includes a first battery and a second battery connected in parallel, and each battery is connected to a power sensor in a one-to-one correspondence; When the first battery stops supplying power to the vehicle controller, the second battery supplies power to the vehicle controller.

5. A method for preventing false alarms in vehicle monitoring, characterized in that: For use in the anti-false alarm vehicle monitoring system according to any one of claims 1 to 4, the method comprises: The vehicle controller receives the wake-up signal collected by the wake-up device, the operation signal collected by the vehicle-mounted sensor, and the facial image collected by the image acquisition device; When the wake-up signal, the operation signal and the facial image all meet the alarm conditions, the vehicle controller sends an alarm instruction to the alarm in the alarm module; The alarm device performs a vehicle alarm operation according to the alarm instruction.

6. The method for preventing false alarms of vehicles according to claim 5, characterized in that: The step of: when the wake-up signal, the operation signal, and the facial image all meet the alarm conditions includes: The alarm conditions include: The wake-up signal includes a target size signal collected by the wake-up device; The operation signal includes at least one of a target touch signal and a target vibration signal; wherein the target touch signal is characterized by a touch threshold signal collected by a touch sensor in the alarm module; and the target vibration signal is characterized by a vibration threshold signal collected by a vibration sensor in the alarm module; The facial image is an image of a target person captured by the image capture device.

7. A false alarm prevention vehicle monitoring method according to claim 5 or 6, characterized in that: The alarm modes of the vehicle controller include: whitelist mode, graylist mode and blacklist mode; When the wake-up signal, the operation signal, and the facial image all meet the alarm conditions, sending an alarm instruction to the alarm device includes: Determining its own alarm mode based on the received wake-up signal, the operation signal, and the facial image; When the alarm mode is the whitelist mode, stop receiving each signal; When the alarm mode is the gray list mode, storing the received facial image; When the alarm mode is the grey list mode, an alarm instruction is sent to the alarm.

8. A vehicle, characterized in that: It is configured with the anti-false alarm vehicle monitoring system according to any one of claims 1-4, and / or executes the anti-false alarm vehicle monitoring method according to any one of claims 5-7.

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