Anti-false alarm vehicle monitoring system and method and vehicle

Abstract

The invention provides a false alarm prevention vehicle monitoring system and method and a vehicle. The system comprises a vehicle control unit, a sensing module and an alarm module. Wherein the sensing module at least comprises an awakening device, an image acquisition device and a vehicle-mounted sensor; wherein the alarm module at least comprises an alarm; the vehicle control unit is connected with the sensing module and the alarm module, and is used for receiving a wake-up signal acquired by the wake-up device, an operation signal acquired by the vehicle-mounted sensor and a face image acquired by the image acquisition device; and under the condition that the wake-up signal, the operation signal and the face image all meet the alarm condition, vehicle alarm operation is executed. Through the monitoring system provided by the invention, the problem that an existing vehicle monitoring system frequently alarms by mistake in different use scenes and environments is solved.

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 part of the Vehicle Anti-Theft System (VATS), the vehicle monitoring device can provide real-time monitoring and protection of the vehicle and provide timely information and feedback to the owner to protect the vehicle from the threat of theft or damage, effectively improving the safety and reliability of the vehicle.

[0003] Conventional vehicle monitoring devices often collect vibration signals at special locations or touch signals at key parts to determine theft. Once these parts are abnormally operated or touched, the system will trigger an alarm. However, when the vehicle is parked on the roadside or in an old residential area, the probability of animals or children accidentally touching the vehicle increases greatly, which often increases the frequency of alarms, especially at night. Frequent alarms will cause great complaints, affect the rest of the neighbors, and even worse, cause the vehicle to be destroyed in retaliation. Summary of the invention

[0004] 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 of existing vehicle monitoring systems in different usage scenarios and environments; the second purpose of this application is to provide an 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.

[0005] To achieve the above-mentioned purpose, the first aspect of the 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 comprises: 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 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 execute 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 modes of the vehicle controller include: whitelist mode, graylist mode and blacklist 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 used to determine the 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 used to stop receiving various signals;

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

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

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

[0024] 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.

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

[0026] 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 an alarm condition;

[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 respectively connected to the power generation module and the vehicle controller;

[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] The second aspect of the embodiment of the present invention 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 embodiment of the present invention, and 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 the alarm condition, 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 modes of the vehicle controller include: whitelist mode, greylist mode and blacklist mode;

[0041] 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:

[0042] Determine 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 sensor, and the facial image collected by the image acquisition 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 in the monitoring area;

[0048] 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.

[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 meets the alarm condition, the vehicle controller sends a locking instruction to the vehicle body parts 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 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;

[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 the anti-false alarm vehicle monitoring system described in the embodiment of the present invention, 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 an on-board 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 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 condition, the alarm instruction is sent to the alarm; the alarm is used to perform the vehicle alarm operation according to the alarm instruction. In this system, the condition for the vehicle to alarm is that the vehicle controller relies on the wake-up device, the image acquisition device and the on-board sensor to make an alarm judgment at the same time, thereby avoiding the alarm triggered by the accidental touch of moving objects such as animals or children, and the alarm triggered by the vehicle 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 the interference of the vehicle anti-theft system on the surrounding environment, and avoiding the influence of the surrounding neighbors due to the unwarranted horn sounding and light 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 drawings required for use in the description of the present application will be briefly introduced below. 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 paying any creative labor.

[0060] Figure 1 It is a schematic diagram of a framework of a false alarm prevention vehicle monitoring system shown in an embodiment of the present application;

[0061] Figure 2 is a schematic diagram of a framework of a false alarm prevention vehicle monitoring system shown in another embodiment of the present application;

[0062] Figure 3 is an overall structural framework diagram of an anti-false alarm vehicle monitoring system shown in yet another embodiment of the present application;

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

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

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

[0066] Figure 7 It is a step flow chart of a false alarm prevention vehicle monitoring method provided in one embodiment of the present application. DETAILED DESCRIPTION

[0067] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0068] Embodiment 1

[0069] Reference Figure 1-3 As shown, Figure 1 A schematic diagram of a framework of a false alarm prevention vehicle monitoring system of the present invention is shown; Figure 2 Another schematic diagram of a framework of a false alarm prevention vehicle monitoring system of 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 at least includes a wake-up device, an image acquisition device and an on-board 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 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 perform 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, etc. The vehicle controller can be understood as an electronic control unit of the corresponding type of vehicle, which can be responsible for decoding and executing system modules and user programs, and sending corresponding control signals to monitor, analyze and control the status and environment of the vehicle. Specifically, the vehicle controller includes three parts: a storage module, a judgment module and an execution module. The storage module stores information, the judgment module judges information, and the execution module controls the system.

[0072] Among them, 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 state and surrounding environment information. In an embodiment of the present invention, the perception module is specifically:

[0073] The wake-up device may 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 monitor the surrounding moving objects and output a wake-up signal. The moving object may be a person, an animal, or an obstacle, etc. The vehicle controller establishes a connection with the wake-up device and can receive a wake-up signal, which indicates the presence of a moving object and detects whether someone is approaching or trying to enter the vehicle. In some embodiments, the millimeter-wave radar can determine the distance, speed, shape, size and other information of the moving object by transmitting and receiving millimeter-wave signals according to the reflection, scattering, and diffraction 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 objects. In this way, the millimeter-wave radar can avoid alarm operations caused by animals or children.

[0074] In some embodiments, when a millimeter-wave radar detects a moving object entering a monitoring area, it can record the relative position of the moving object, and output a trigger wake-up signal with the moving object's position information to enter 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 on-board sensor to enter the acquisition mode and prepare to collect abnormal activities in the vehicle's surrounding environment. At the same time, the image acquisition device is controlled to enter the acquisition mode to prepare to collect 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 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 alarm operation caused by the owner and his trusted personnel can be avoided through the image acquisition device.

[0076] The 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, hoods, trunks, tires, etc. as needed to detect whether someone is trying to open the vehicle's doors, windows, hoods, or trunks; multiple vibration sensors can be installed on different locations of the vehicle's chassis as needed to detect whether someone is intentionally damaging the vehicle or moving the vehicle. Through the setting of the 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 touches by people in specific usage scenarios and environments.

[0077] The alarm module can be understood as a security module that warns the owner and implements anti-theft functions, for example, it can trigger an alarm; send security reminder information to the owner through text messages, mobile phone applications or emails; allow the owner to remotely operate the vehicle, such as disconnecting the ignition system, locking the vehicle, etc., to prevent potential theft. The triggering of the alarm can be achieved by an alarm, which can include a sound alarm and a light alarm to attract attention and warn the owner or surrounding people.

[0078] To sum up, when the wake-up signal, operation signal and facial image collected by the perception module simultaneously all meet the alarm conditions, the vehicle controller will output an alarm command of 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 touches by 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 avatar. 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 touch and intentional theft; the biometric information carried by the facial avatar can be used to distinguish between suspects and trusted persons, and 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, where animals and children can be classified as non-car theft moving objects, the vehicle is in a safe state, and no alarm is required; while adults can be classified as suspected car theft personnel, 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 with a height greater than or equal to 1500mm and not higher than 2000mm, and a width of 400mm-800mm. The size signal outside the target size signal can be considered as a non-target size signal, for example, the non-target size signal can be a size signal with 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 monitored by the millimeter wave radar is a suspected car theft person, and the alarm condition is met at this time.

[0083] The vehicle-mounted sensor can detect abnormal movements of moving objects and output an operation signal. In this embodiment, the operation frequencies of accidental collision and intentional theft are different. The short operation frequency can be classified as a non-theft moving object, and the vehicle is in a safe state without alarm; while the high operation frequency can be classified as a suspected car theft person, and the vehicle is in a dangerous state and enters the alarm mode. Through the operation frequency, the touch sensor can obtain the target touch signal, and the vibration sensor can obtain the target vibration signal. When the number of touch signals collected by the touch sensor is not more than 5 times and / or the touch time is not more than 30s, and the vibration signal collected by the vibration sensor is not more than 5 times and / or the touch time is not more than 30s, it is a non-target operation signal, which can be understood as the moving object collected by the vehicle-mounted sensor is a non-theft moving object, which is an accidental collision by a person, and the vehicle is in a safe state, and no alarm is required. On the contrary, when the number of touch signals collected by the touch sensor is greater than 5 times and / or the touch time is greater than 30s, the touch threshold signal is output; when the vibration signal collected by the vibration sensor is greater than 5 times and / or the touch time is greater than 30s, the 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-mounted sensor is a suspected car thief, and the alarm condition is met at this time.

[0084] The image acquisition device can collect the biometric features of the moving object and output the 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 often use the car) can be classified as non-car theft moving objects, the vehicle is in a safe state, and there is no need to alarm; and target person images (non-car owners, family members and people who often use the car) can be classified as suspected car theft persons, the vehicle is in a dangerous state, and enters the alarm mode. When the facial image acquired by the vehicle controller is the target person image, it can be understood that the moving object photographed 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 power;

[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 alarm to save power.

[0088] When the facial image does not meet the alarm condition, 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 electric energy.

[0089] Please refer again Figure 4 and Figure 5 , for example, the mode of judging the alarm condition through the 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 used to determine the 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 used to stop receiving various signals;

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

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

[0098] 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 often use the vehicle) through the app installed in the mobile phone by means of face recognition, obtain the image of the non-target person, and transmit it through the vehicle network device, store it in the storage module of the vehicle controller, and establish a white list;

[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, that is, those that simultaneously meet the target size signal, the target touch signal, the target vibration signal and the target person image, can be classified into the black list as moving objects that meet the alarm conditions.

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

[0102] First, the millimeter-wave radar is used to preliminarily identify the volume 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 will save the camera information;

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

[0104] If it is not on the white list, the vehicle sensor will identify the number or time 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 camera 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, after the size is identified by the millimeter-wave radar, the alarm caused by accidental collision with animals and children is excluded; after excluding animals and children and determining that they are adults, the identity of people is identified by the image acquisition device, and the alarm caused by the vehicle owner and his trusted personnel operating the vehicle is excluded; after excluding the vehicle owner and his trusted personnel as the target person, the accidental collision and intentional theft of people are identified by the on-board sensor, and the alarm caused by accidental collision with people is excluded. This avoids the alarm caused by accidental contact with animals or children when the vehicle is parked on the roadside or in an old residential area.

[0107] It should be explained that when the whitelist judgment is being carried out, the image acquisition device establishes a connection with the vehicle controller, and the judgment module in the vehicle controller extracts the facial image and generates the corresponding biometric value, which is compared with the image samples in the whitelist stored in the storage module in the vehicle controller in advance. If the collected facial image does not match the image samples in the whitelist, it does not belong to the whitelist. If the match is successful, it belongs to the whitelist, and the vehicle controller does not respond to the action, saving energy.

[0108] It is also necessary to explain that when the gray list judgment is being carried out, 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 electric energy, 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 vehicle-mounted sensor to collect the operation signal, and the image acquisition device to collect the facial image.

[0111] In this embodiment, when the millimeter wave radar detects that a moving object has entered the monitoring area, it can record the relative position of the moving object, and output a trigger wake-up signal with the moving object's position information to enter the 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 on-board sensor to enter the acquisition mode and prepare to collect abnormal activities in the vehicle's surrounding environment. At the same time, the image acquisition device is controlled to enter the acquisition mode to prepare to collect 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 area with a cross section in the figure is the safe area outside 3.2m and the area with a 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 starts to detect surrounding moving objects with the vehicle as the center of the circle, and the millimeter-wave radar does not perform size recognition and other detections when the moving object is greater than 3m±0.2, saving energy. When the moving object is no more than 3m-0.2m away from the vehicle, the trigger wake-up signal starts to be output, the system will enter the standby state, and start the collection and analysis of operation signals and facial images. When the distance is greater than 3m±0.2m again, subsequent detection and operation are stopped, 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 3m-0.2m range (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 2m range, it enters subsequent operation.

[0114] Embodiment 2:

[0115] Please refer again Figure 1-Figure 5 In combination with the above embodiments, in another embodiment, the alarm module also includes body parts and a user terminal; the vehicle controller is used to send a locking instruction to the body parts 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 body parts are used to perform the vehicle locking operation according to the locking instruction.

[0116] In this embodiment, the user end can be the owner's mobile phone. Among them, the whole vehicle controller is connected to the vehicle network device inside the vehicle, wherein the vehicle network device is designed with a T-BOX, and a SIM card is provided in the T-BOX, and data is transmitted with the server and the client's mobile phone through the data flow provided by the SIM card. It can be understood that the system controller and the T-BOX can communicate through the CAN bus or Ethernet to realize the two-way transmission of data and instructions; the T-BOX and the server can communicate through the 4G or 5G network to realize the two-way transmission of data and instructions; the server and the owner's mobile phone can communicate through the Internet to realize the two-way transmission of data and instructions. When the user issues a remote control instruction on the mobile phone, the instruction will be sent to the server through the Internet, and then the server will send it to the T-BOX through the 4G or 5G network. Finally, the T-BOX will be sent to the system controller through the CAN bus or Ethernet, and the remote control function will be realized through the execution module of the system controller.

[0117] Specifically, when the system enters the standby state, the touch sensor (hood lock switch, door lock switch, tailgate lock switch) and vibration sensor start the detection mode, collect touch and vibration, and input the corresponding operation signal into the vehicle controller; at the same time, the surround camera collects the facial image of the moving object and inputs it into the vehicle controller. If the vehicle controller determines that it is a white list, no operation will be performed, and if it is a gray list, only the camera information will be saved. If the vehicle controller determines that it is a black list, the vehicle controller will not only control the alarm to sound and light alarm, but also continue to take pictures and store the image data in the storage module in 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 implementation, the system further includes: a power management module connected to the vehicle controller; the vehicle controller is used to receive the power provided by the power management module; wherein the power management module includes a first battery ( Figure 1 The battery 1) and the second battery ( Figure 1 The battery 2 in the vehicle is connected to each battery in a one-to-one correspondence with a power sensor; 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 conventional first battery in the vehicle's cabin or trunk and a second battery specially designed for the system. The two batteries are respectively connected to a first power sensor and a second power sensor. The two power sensors are used to detect the battery power. The two batteries connected in parallel can prevent the system from failing due to power shortage. The first battery and the second battery are connected in parallel to ensure the reliability of power supply.

[0120] In some embodiments, the first battery and the second battery are connected in series with the generator respectively, so that the two batteries can be charged when the vehicle is operating normally, which improves the charging convenience of the system, thereby ensuring the safety of the entire power supply system, and also preventing the first battery from being powered off during maintenance, causing the system to be unable to operate. The generator charges the second battery at the same time.

[0121] At the same time, in order to ensure the power supply for long-term parking, preferably, the present 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 the day during driving and parking.

[0122] Embodiment 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 alarm 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 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 executes 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 white list mode, a gray list mode and a black list mode;

[0133] Step S2 includes:

[0134] Step S21, judging its own alarm mode 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 a wake-up signal that the wake-up device starts to collect 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, after step S1, the following steps are included:

[0142] Step S101: When at least one of the wake-up signal, the operation signal and the facial image meets an alarm condition, the vehicle controller sends a locking instruction to the vehicle body parts 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 component performs 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 electric energy provided by 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;

[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 described order of actions, 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 may refer 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 may be provided as methods, devices, or computer program products. Therefore, the embodiments of the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the embodiments of the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[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 generate 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 processes in the flowchart and / or block diagram. 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 capable of directing 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 Functions 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 The steps for the functions specified in one or more boxes.

[0155] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. 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 application.

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

[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 the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present 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, characterized in that: 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, characterized in that: 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 store the received facial image; When the alarm mode is the blacklist mode, the vehicle controller is used to send an alarm instruction to the alarm.

4. A false alarm prevention vehicle monitoring system according to claim 1 or 2, characterized in that: 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, characterized in that: 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 an 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 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.

8. The method for preventing false alarm of a vehicle according to claim 7, characterized in that: 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. A false alarm prevention vehicle monitoring method according to claim 7 or 8, characterized in that: 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 grey list 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.

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