Vehicle monitoring system and method capable of preventing false alarm, and vehicle

Abstract

A vehicle monitoring system capable of preventing a false alarm, comprising a vehicle control unit, a sensing module, and an alarm module. The sensing module at least comprises a wake-up apparatus, an image acquisition apparatus, and an onboard sensor. The alarm module at least comprises an alarm. The vehicle control unit is separately connected to the sensing module and the alarm module, and the vehicle control unit is used for: receiving a wake-up signal acquired by the wake-up apparatus, an operation signal acquired by the onboard sensor and a face image acquired by the image acquisition apparatus; and performing a vehicle alarm operation when the wake-up signal, the operation signal and the face image all meet an alarm condition. The system solves the problem of existing vehicle monitoring systems frequently giving a false alarm in different usage scenarios and environments. Further disclosed are a method and a vehicle.

Description

Anti-false alarm vehicle monitoring system, method and vehicle

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This disclosure claims priority to Chinese patent application number CN202311083897.4, filed with the Patent Office of China on August 25, 2023, entitled “A False Alarm Vehicle Monitoring System, Method and Vehicle,” the entire contents of which are incorporated by reference into this disclosure. Technical Field

[0003] 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

[0004] 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.

[0005] Conventional vehicle monitoring systems often detect theft by detecting vibrations at specific locations or touch signals on key parts. If these components are operated or touched abnormally, 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. This is especially true at night, where frequent alarms can lead to significant complaints and disrupt the well-being of neighbors.

[0006] Summary of the Invention

[0007] In view of the above problems, one of the purposes of this application is to provide a false alarm prevention vehicle monitoring system 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 false alarm prevention vehicle monitoring method 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. The fourth purpose of this application is to provide a computing and processing device. The fifth purpose of this application is to provide a computer program. The sixth purpose of this application is to provide a computer-readable medium.

[0008] To achieve the above-mentioned purpose, the first aspect of the embodiment of the present application provides an anti-false alarm vehicle monitoring system, which 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 a vehicle-mounted sensor; wherein,

[0009] The alarm module at least includes an alarm;

[0010] The vehicle controller is connected to the perception module and the alarm module respectively. The vehicle controller is used to receive the wake-up signal collected by the wake-up device, the operation signal collected by the vehicle 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;

[0011] The alarm is used to execute vehicle alarm operations according to the alarm instructions.

[0012] In one embodiment of the present application, the vehicle-mounted sensor includes a touch sensor and / or a vibration sensor;

[0013] Alarm conditions include:

[0014] The wake-up signal includes a target size signal collected by the wake-up device;

[0015] 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;

[0016] The facial image is an image of a target person captured by an image capture device.

[0017] In one embodiment of the present application, the alarm modes of the vehicle controller include: whitelist mode, graylist mode and blacklist mode; wherein,

[0018] Whitelist mode includes images of non-target people;

[0019] Graylist mode includes non-target size signals and non-target operation signals;

[0020] The blacklist mode includes wake-up signals, operation signals, and facial images that meet the alarm conditions;

[0021] The vehicle controller is used to determine the alarm mode based on the received wake-up signal, operation signal, and facial image;

[0022] When the alarm mode is whitelist mode, the vehicle controller is used to stop receiving various signals;

[0023] When the alarm mode is the grey list mode, the vehicle controller is used to store the received facial image;

[0024] When the alarm mode is the blacklist mode, the vehicle controller is used to send an alarm command to the alarm.

[0025] In one embodiment of the present application, the wake-up signal further includes a trigger wake-up signal that the wake-up device starts collecting within the monitoring area; the monitoring area is characterized as a preset radius range with the vehicle as the center; wherein,

[0026] The vehicle controller is used to receive the trigger wake-up signal monitored by the wake-up device, control the vehicle-mounted sensor to collect operation signals, and the image acquisition device to collect facial images.

[0027] In one embodiment of the present application, the alarm module further includes a vehicle body component and a user terminal;

[0028] The vehicle controller is used to send a locking instruction to the vehicle body components and a vehicle safety reminder message to the user terminal when at least one of the wake-up signal, operation signal and facial image meets the alarm condition;

[0029] Body parts used to lock the vehicle according to the locking command.

[0030] In one embodiment of the present application, 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;

[0031] The power management module is connected to the power generation module and the vehicle controller respectively;

[0032] The power management module is used to receive the electrical energy provided by the power generation module and supply power to the vehicle controller.

[0033] A second aspect of the present application 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 present application. The method includes:

[0034] 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;

[0035] When the wake-up signal, operation signal and facial image all meet the alarm conditions, the vehicle controller sends an alarm command to the alarm in the alarm module;

[0036] The alarm device performs the vehicle alarm operation according to the alarm instruction.

[0037] In one embodiment of the present application, when the wake-up signal, the operation signal, and the facial image all meet the alarm conditions, the following steps are included:

[0038] Alarm conditions include:

[0039] The wake-up signal includes a target size signal collected by the wake-up device;

[0040] 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 acquired by a touch sensor in the alarm module; and the target vibration signal is characterized by a vibration threshold signal acquired by a vibration sensor in the alarm module.

[0041] The facial image is an image of a target person captured by an image capture device.

[0042] In one embodiment of the present application, the alarm modes of the vehicle controller include: whitelist mode, graylist mode and blacklist mode;

[0043] When the wake-up signal, operation signal and facial image all meet the alarm conditions, the alarm instruction is sent to the alarm including:

[0044] Determine its own alarm mode based on the received wake-up signal, operation signal, and facial image;

[0045] When the alarm mode is whitelist mode, stop receiving all signals;

[0046] When the alarm mode is gray list mode, the received facial image is stored;

[0047] When the alarm mode is gray list mode, an alarm instruction is sent to the alarm.

[0048] In one embodiment of the present application, the vehicle controller receives the wake-up signal collected by the wake-up device, the operation signal collected by the vehicle sensor, and the facial image collected by the image acquisition device, including:

[0049] 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 that the wake-up device starts to collect within the monitoring area;

[0050] Based on the trigger wake-up signal, the vehicle controller controls the on-board sensor to collect operation signals, and the image acquisition device to collect facial images.

[0051] In one embodiment of the present application, after the vehicle controller receives the wake-up signal collected by the wake-up device, the operation signal collected by the vehicle sensor, and the facial image collected by the image collection device, the following steps are performed:

[0052] When at least one of the wake-up signal, operation signal, and facial image meets the 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;

[0053] The body components perform the vehicle locking operation according to the locking command.

[0054] In one embodiment of the present application, before the vehicle controller receives the wake-up signal collected by the wake-up device, the operation signal collected by the vehicle sensor, and the facial image collected by the image collection device, the following steps are included:

[0055] The vehicle controller receives power 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;

[0056] When the first battery stops supplying power to the vehicle controller, the second battery supplies power to the vehicle controller.

[0057] The third aspect of the embodiment of the present application further provides a vehicle, which is equipped with the anti-false alarm vehicle monitoring system provided by the first aspect of the present application, and / or the anti-false alarm vehicle monitoring method provided by the second aspect of the present application.

[0058] A fourth aspect of the present application further provides a computing and processing device, including:

[0059] a memory having computer readable code stored therein; and

[0060] One or more processors, when the computer-readable code is executed by one or more processors, the computing processing device executes the anti-false alarm vehicle monitoring method provided in the second aspect of the present application.

[0061] The fifth aspect of the embodiment of the present application also provides a computer program, including computer-readable code. When the computer-readable code runs on a computing processing device, it causes the computing processing device to execute the anti-false alarm vehicle monitoring method provided in the second aspect of the present application.

[0062] The sixth aspect of the embodiments of the present application further provides a computer-readable medium, in which the computer program of the fifth aspect of the present application is stored.

[0063] Compared with the prior art, the parking method of the present application has the following advantages:

[0064] In an embodiment of the present application, the anti-false alarm vehicle monitoring system includes: a vehicle controller, a sensing module, and an alarm module; wherein the sensing 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; a vehicle controller is connected to the sensing module and the alarm module, and the vehicle controller 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 when the wake-up signal, the operation signal, and the facial image all meet alarm conditions, the vehicle controller sends an alarm instruction to the alarm; and the alarm executes 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 make an alarm judgment. 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 the occurrence of false alarms. This avoids interference with the surrounding environment caused by the vehicle anti-theft system and avoids disturbing the surrounding environment due to unnecessary horn honking and light flashing.

[0065] The anti-false alarm vehicle monitoring method, vehicle, computing processing equipment, computer program and computer-readable medium provided in the embodiments of the present application have the same advantages as the above-mentioned anti-false alarm vehicle monitoring system over the prior art, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] FIG1 is a schematic diagram of a framework of a vehicle monitoring system for preventing false alarms according to an embodiment of the present application;

[0067] FIG2 is a schematic diagram of a framework of a vehicle monitoring system for preventing false alarms according to another embodiment of the present application;

[0068] FIG3 is a diagram showing the overall structure of a vehicle monitoring system for preventing false alarms according to another embodiment of the present application;

[0069] FIG4 is a diagram showing the principle of judgment of a vehicle monitoring system for preventing false alarms provided by another embodiment of the present application;

[0070] FIG5 is a control strategy diagram of an anti-false alarm vehicle monitoring system provided by another embodiment of the present application;

[0071] FIG6 is a schematic diagram of a monitoring area of ​​a wake-up device provided by another embodiment of the present application;

[0072] FIG7 is a flowchart of the steps of a false alarm prevention vehicle monitoring method provided in one embodiment of the present application;

[0073] FIG8 schematically shows a block diagram of a computing processing device for executing the method according to the present disclosure; and

[0074] FIG9 schematically shows a storage unit for holding or carrying program codes for implementing the method according to the present disclosure. Specific embodiments

[0075] Example 1

[0076] Referring to Figures 1-3, Figure 1 shows a schematic framework diagram of an anti-false alarm vehicle monitoring system of the present application; Figure 2 shows another schematic framework diagram of an anti-false alarm vehicle monitoring system of the present application; Figure 3 shows an overall structural framework diagram of the anti-false alarm vehicle monitoring system of the present application. 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 at least comprises a wake-up device, an image acquisition device and an on-board sensor; the alarm module at least comprises 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 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, an alarm instruction is sent to the alarm; the alarm is used to execute the vehicle alarm operation according to the alarm instruction.

[0077] Specifically, the system provided in this application is applicable to new energy vehicles, fuel vehicles, and hybrid vehicles, among others. The vehicle controller can be understood as the electronic control unit of the corresponding type of vehicle, which 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 includes three major parts: 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.

[0078] The perception module can be understood as the 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 this application, the perception module is specifically:

[0079] 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.

[0080] 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.

[0081] 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. Therefore, by setting up an image acquisition device, alarm operations caused by vehicle owners and their trusted personnel can be avoided.

[0082] Vehicle-mounted sensors may include vibration sensors and / or touch sensors, wherein the touch sensors may include hood lock switches, door lock switches, and tailgate lock switches, etc. Multiple touch sensors can be installed on the vehicle's doors, windows, hood, trunk, tires, etc. as needed to detect whether someone attempts 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. By setting up on-board 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. Therefore, by setting up a perception module, alarm operations caused by accidental human contact can be avoided in specific usage scenarios and environments.

[0083] An alarm module can be understood as a security module that alerts the vehicle owner and implements anti-theft functions. For example, this security module can trigger an alarm. It sends safety alerts to the vehicle owner via text message, mobile app, or email. It also allows the vehicle owner to remotely control the vehicle, such as disabling the ignition system or locking the vehicle, to deter potential theft. This alarm can be triggered by an alarm, which can include both audible and visual alarms to attract attention and alert the vehicle owner or nearby personnel.

[0084] In summary, 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 command 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.

[0085] In one embodiment of the present application, the vehicle controller can obtain a wake-up signal, an operation signal, and a facial profile picture. In practical applications, 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 contact and intentional theft; and the biometric information carried by the facial profile picture 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 embodiment, in another embodiment, the following technical means can be used:

[0086] On-board sensors include touch sensors and / or vibration sensors;

[0087] 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 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.

[0088] Specifically, Figures 4 and 5 illustrate the judgment principle diagram of the anti-false alarm vehicle monitoring system of the present application. Figure 5 illustrates the control strategy diagram of the anti-false alarm vehicle monitoring system of the present application. Millimeter-wave radar can detect the size of moving objects and output a size signal. In this embodiment, common animals (cats, dogs, birds, etc.), children, and adults have different sizes. Animals and children can be classified as non-car theft objects, and the vehicle is safe, without an alarm. Adults, on the other hand, can be classified as suspected car theft individuals, and the vehicle is in danger, entering alarm mode. Based on the size of the moving object, the millimeter-wave radar can acquire a target size signal. The target size signal can be a height greater than or equal to 1500mm and no greater than 2000mm, and a width between 400mm and 800mm. Size signals outside the target size signal are considered non-target size signals. For example, a non-target size signal can be 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 interpreted as the moving object detected by the millimeter-wave radar being a suspected car theft individual, and the alarm condition is met.

[0089] 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, indicating the vehicle is safe and no alarm is required. A high-frequency operation can be classified as a suspected theft, indicating the vehicle is in danger and 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, requiring no 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.

[0090] 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 an image of a target person, 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.

[0091] 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:

[0092] 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;

[0093] 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.

[0094] 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.

[0095] Referring again to FIG. 4 and FIG. 5 , illustratively, the mode for determining the alarm condition through facial images may be:

[0096] The alarm modes of the vehicle controller include: whitelist mode, graylist mode and blacklist mode; among them,

[0097] Whitelist mode includes images of non-target people;

[0098] Graylist mode includes non-target size signals and non-target operation signals;

[0099] The blacklist mode includes wake-up signals, operation signals, and facial images that meet the alarm conditions;

[0100] The vehicle controller is used to determine the alarm mode based on the received wake-up signal, operation signal, and facial image;

[0101] When the alarm mode is whitelist mode, the vehicle controller is used to stop receiving various signals;

[0102] When the alarm mode is the grey list mode, the vehicle controller is used to store the received facial image;

[0103] When the alarm mode is the blacklist mode, the vehicle controller is used to send an alarm command to the alarm.

[0104] In this embodiment, the vehicle controller can set up a white list, a gray list, and a black list. The owner can collect facial information of non-target persons (including the owner, family members, and people who frequently use the vehicle) through the app installed on the mobile phone in the form of face recognition to obtain non-target person images, and transmit them through the vehicle network device and store them in the storage module of the vehicle controller to establish a white list. The sizes of common animals (cats, dogs, birds, etc.) or children are 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 is stored in the storage module of the vehicle controller to obtain non-target operation signals and establish a gray list. Moving objects outside the white list and 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 moving objects that meet the alarm conditions are classified as blacklists.

[0105] In this alarm mode, the control strategy can be:

[0106] 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;

[0107] 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.

[0108] 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.

[0109] 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.

[0110] Therefore, after using millimeter-wave radar to identify the vehicle's size, it eliminates 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 then performs human identity recognition, eliminating alarms caused by the vehicle owner or trusted personnel operating the vehicle. After eliminating the vehicle owner or trusted personnel as the target person, the on-board sensor then 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.

[0111] It's important to explain 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 corresponding biometric values, which are then compared with image samples on a whitelist pre-stored in the vehicle controller's storage module. If the captured facial image doesn't match any of the whitelisted images, it's not on the whitelist. If a match is found, it's on the whitelist, and the vehicle controller doesn't respond, saving energy.

[0112] In addition, during the graylist determination process, the wake-up device establishes a connection with the vehicle controller, and the determination module within 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 pre-stored in the storage module within the vehicle controller. If the collected size signal meets the target size signal, it is included in the graylist; otherwise, it is not included in the graylist. If the collected vibration signal and / or touch signal meets the target touch signal and / or target vibration signal, it is included in the graylist; otherwise, it is not included in the graylist.

[0113] The embodiments of the present application 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.

[0114] Referring to Figure 6, Figure 6 is a schematic diagram of the monitoring area of ​​the wake-up device; in order to further save electric energy, the wake-up signal in the embodiment of the present application 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.

[0115] 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.

[0116] The monitoring area is defined by setting different risk levels around the vehicle. For example, a circle with a radius of 2.8m and a circle with a radius of 3.2m are drawn around the vehicle. The area between the two is defined as a buffer zone (the hatched area in Figure 6). The area outside 3.2m is the safe zone, and the area within 3.0m is the strong monitoring zone. As shown in Figures 5 and 6, after the vehicle is parked and locked, the system activates the millimeter-wave radar with the vehicle as the center to detect surrounding moving objects. When the moving object is more than 3m±0.2m away from the vehicle, size recognition and other detection are not performed to save energy. When the moving object is no more than 3m-0.2m away from the vehicle, a trigger wake-up signal is output, the system enters standby mode, and the acquisition and analysis of operation signals and facial images are initiated. When the moving object is again more than 3m±0.2m away from the vehicle, subsequent detection and operation are stopped, and only the millimeter-wave radar is used to detect surrounding moving objects.

[0117] 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. When the object enters the range of 2m, it enters subsequent operation.

[0118] Example 2:

[0119] Referring to Figures 1 to 5 again, in combination with the above embodiments, in another embodiment, the alarm module also includes body parts and a user end; the vehicle controller is used to send a locking instruction to the body parts and a vehicle safety reminder message to the user end when at least one of the wake-up signal, operation signal and facial image meets the alarm condition; the body parts are used to perform the vehicle locking operation according to the locking instruction.

[0120] 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 data is transmitted to the server and the client's mobile phone via the data traffic provided by the SIM card. 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.

[0121] 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.

[0122] In conjunction with the above embodiments, in one implementation, the system further includes: a power management module connected to a 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 (battery 1 in FIG. 1 ) and a second battery (battery 2 in FIG. 1 ) connected in parallel, each battery being connected to a power sensor. If the first battery stops supplying power to the vehicle controller, the second battery supplies power to the vehicle controller.

[0123] 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 a first power sensor and a second power sensor, respectively, which monitor the battery charge. The two batteries, connected in parallel, prevent system failures caused by power shortages. The first and second batteries are connected in parallel to ensure reliable power supply.

[0124] 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.

[0125] At the same time, in order to ensure the power supply when the vehicle is parked for a long time, 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.

[0126] Example 3

[0127] FIG7 is a flowchart of the steps of the anti-false alarm vehicle monitoring method; the second aspect of the present application further provides an anti-false alarm vehicle monitoring method, which is used in the anti-false alarm vehicle monitoring system provided in the first aspect of the present application, and the method includes:

[0128] 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;

[0129] 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;

[0130] Step S3: The alarm device performs the vehicle alarm operation according to the alarm instruction.

[0131] In combination with the above embodiment, in another embodiment, step S2 includes:

[0132] Step S21, alarm conditions include:

[0133] The wake-up signal includes a target size signal collected by the wake-up device;

[0134] 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 acquired by a touch sensor in the alarm module; and the target vibration signal is characterized by a vibration threshold signal acquired by a vibration sensor in the alarm module.

[0135] The facial image is an image of a target person captured by an image capture device.

[0136] In combination with the above embodiment, in another embodiment, the alarm mode of the vehicle controller includes: white list mode, gray list mode and black list mode;

[0137] Step S2 includes:

[0138] Step S21: Determine the alarm mode of the device based on the received wake-up signal, operation signal, and facial image;

[0139] Step S22: When the alarm mode is the whitelist mode, stop receiving all signals;

[0140] Step S23: When the alarm mode is the gray list mode, the received facial image is stored;

[0141] Step S24: When the alarm mode is the blacklist mode, an alarm instruction is sent to the alarm.

[0142] In combination with the above embodiment, in another embodiment, step S1 includes:

[0143] 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 a wake-up signal that the wake-up device starts collecting within the monitoring area;

[0144] 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.

[0145] In combination with the above embodiment, in another embodiment, after step S1, the method further includes:

[0146] 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;

[0147] Step S102: The vehicle body components execute a vehicle locking operation according to the locking instruction.

[0148] In combination with the above embodiment, in another embodiment, before step S1, the process includes:

[0149] 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;

[0150] Step S202: When the first battery stops supplying power to the vehicle controller, the second battery supplies power to the vehicle controller.

[0151] It should be noted that, for the sake of simplicity, the method embodiments 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.

[0152] Based on the same inventive concept, the third aspect of the 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 application, and / or executes an anti-false alarm vehicle monitoring method as provided in the second aspect of the present application.

[0153] 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.

[0154] A fourth aspect of the present application further provides a computing and processing device, including:

[0155] a memory having computer readable code stored therein; and

[0156] One or more processors, when the computer-readable code is executed by one or more processors, the computing processing device executes the anti-false alarm vehicle monitoring method provided in the second aspect of the present application.

[0157] The fifth aspect of the embodiment of the present application also provides a computer program, including computer-readable code. When the computer-readable code runs on a computing processing device, it causes the computing processing device to execute the anti-false alarm vehicle monitoring method provided in the second aspect of the present application.

[0158] The sixth aspect of the embodiments of the present application further provides a computer-readable medium, in which the computer program of the fifth aspect of the present application is stored.

[0159] The computing and processing equipment, computer program, and computer-readable medium provided in the embodiments of the present application have the same advantages as the above-mentioned anti-false alarm vehicle monitoring system over the prior art, and will not be repeated here.

[0160] 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.

[0161] 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.

[0162] The present application embodiment is described with reference to the flow chart and / or block diagram of the method, terminal device (system), and computer program product according to the embodiment of the present application. It should be understood that each process and / or box in the flow chart and / or block diagram and the combination of the process and / or box in the flow chart 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 produce a device for realizing the function specified in one process or multiple processes and / or one box or multiple boxes of the flow chart.

[0163] 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 that implements the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0164] 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 computer-implemented processing, so that the instructions executed on the computer or other programmable terminal device provide steps for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0165] The various component embodiments of the present disclosure can be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It should be understood by those skilled in the art that a microprocessor or digital signal processor (DSP) can be used in practice to implement some or all of the functions of some or all of the components in the computing processing equipment according to the embodiments of the present disclosure. The present disclosure can also be implemented as a device or apparatus program (e.g., computer program and computer program product) for executing part or all of the methods described herein. Such a program implementing the present disclosure can be stored on a computer-readable medium, or can have the form of one or more signals. Such a signal can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0166] For example, FIG8 illustrates a computing device that can implement the methods of the present disclosure. The computing device typically includes a processor 1010 and a computer program product or computer-readable medium in the form of a memory 1020. Memory 1020 can be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read-Only Memory), EPROM, a hard disk, or ROM. Memory 1020 has storage space 1030 for program code 1031 for executing any of the method steps described above. For example, the storage space 1030 for program code can include individual program codes 1031 for implementing various steps in the method described above. These program codes can be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards, or floppy disks. Such computer program products are typically portable or fixed storage units, as described with reference to FIG9 . The storage unit can have storage segments, storage space, and the like arranged similarly to memory 1020 in the computing device of FIG8 . The program code can, for example, be compressed in a suitable form. Typically, the storage unit includes computer-readable codes 1031 ′, ie, codes that can be read by a processor such as 1010 , which, when executed by a computing device, cause the computing device to perform the steps of the method described above.

[0167] 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.

[0168] 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.

[0169] 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 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; The alarm device is used to execute a vehicle alarm operation according to the alarm instruction.

2. The anti-false alarm vehicle monitoring system according to claim 1, wherein: The vehicle-mounted sensor includes a touch sensor and / or a vibration sensor; 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 the touch sensor; and the target vibration signal is characterized by a vibration threshold signal collected by the vibration sensor; The facial image is an image of a target person captured by the image capture device.

3. The anti-false alarm vehicle monitoring system according to claim 2, wherein: The alarm modes of the vehicle controller include: white list mode, gray list mode and black list mode; wherein, The whitelist mode includes non-target person images; The grey list mode includes non-target size signals and non-target operation signals; The blacklist mode includes the wake-up signal, the operation signal, and the facial image that meet the alarm condition; 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; When the alarm mode is the gray list mode, the vehicle controller is used to receive The facial image is stored; When the alarm mode is the blacklist mode, the vehicle controller is used to send an alarm instruction to the alarm.

4. The anti-false alarm vehicle monitoring system according to claim 1 or 2, wherein: The wake-up signal also includes a trigger wake-up signal that the wake-up device starts to collect in 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 vehicle-mounted sensor to collect the operation signal, and control the image acquisition device to collect the facial image.

5. The anti-false alarm vehicle monitoring system according to claim 1, wherein: The alarm module also includes body parts and a user terminal; The vehicle controller is used to send a locking instruction to the vehicle body component and send vehicle safety reminder information 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.

6. 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; 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; When the first battery stops supplying power to the vehicle controller, the second battery supplies power to the vehicle controller.

7. 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 6, 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 condition, 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.

8. The method for preventing false alarms of vehicles according to claim 7, wherein: The step of: when the wake-up signal, the operation signal and the facial image all meet the alarm condition 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.

9. The method for preventing false alarm of a vehicle according to claim 7 or 8, wherein: The alarm modes of the vehicle controller include: white list mode, gray list mode and black list mode; When the wake-up signal, the operation signal and the facial image all meet the alarm condition, sending an alarm instruction to the alarm device comprises: Determine 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 blacklist mode, an alarm instruction is sent to the alarm.

10. A vehicle, characterized in that: It is configured with the anti-false alarm vehicle monitoring system as described in any one of claims 1-6, and / or executes the anti-false alarm vehicle monitoring method as described in any one of claims 7-9.

11. A computing device, characterized in that: include: a memory having computer readable code stored therein; as well as One or more processors, when the computer readable code is executed by the one or more processors, the computing processing device executes the anti-false alarm vehicle monitoring method as described in any one of claims 7-9.

12. A computer program, comprising a computer readable code, which, when executed on a computing and processing device, causes the computing and processing device to execute the false alarm prevention vehicle monitoring method according to any one of claims 7 to 9.

13. A computer readable medium having stored therein the computer program according to claim 12.

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