CN117601801A - Guard mode-based vehicle anti-theft method and device, electronic equipment and medium - Google Patents
Guard mode-based vehicle anti-theft method and device, electronic equipment and medium Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/30—Detection related to theft or to other events relevant to anti-theft systems
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/10—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device
- B60R25/1001—Alarm systems associated with another car fitting or mechanism, e.g. door lock or knob, pedals
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/10—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device
- B60R25/1004—Alarm systems characterised by the type of sensor, e.g. current sensing means
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/10—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device
- B60R25/102—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device a signal being sent to a remote location, e.g. a radio signal being transmitted to a police station, a security company or the owner
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/10—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device
- B60R25/104—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device characterised by the type of theft warning signal, e.g. visual or audible signals with special characteristics
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/30—Detection related to theft or to other events relevant to anti-theft systems
- B60R25/302—Detection related to theft or to other events relevant to anti-theft systems using recording means, e.g. black box
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/30—Detection related to theft or to other events relevant to anti-theft systems
- B60R25/305—Detection related to theft or to other events relevant to anti-theft systems using a camera
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/30—Detection related to theft or to other events relevant to anti-theft systems
- B60R25/33—Detection related to theft or to other events relevant to anti-theft systems of global position, e.g. by providing GPS coordinates
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Abstract
The application provides a guard mode-based vehicle anti-theft method, a guard mode-based vehicle anti-theft device, electronic equipment and a guard mode-based vehicle anti-theft medium. The method comprises the following steps: the vehicle state is monitored in real time by using a sensor, and a video picture is shot in real time by using a vehicle-mounted camera; identifying illegal operation and physical impact events according to events detected by the sensor and behaviors generated after the video pictures are analyzed; when the preset theft prevention possibility threshold is met, starting a video recording function of the vehicle; the cloud system is utilized to analyze the video data, and after the anti-theft event is confirmed, an anti-theft alarm notification is sent to the vehicle owner through the robot telephone system; after the vehicle owner receives the alarm notification, remotely checking real-time videos around the vehicle through the application program, and sending a voice warning to the vehicle through the application program; when the vehicle receives the voice warning, the voice warning is played through the vehicle-mounted loudspeaker. The method and the device can reduce false alarm, improve the effectiveness of the alarm, and facilitate the owner to check the alarm and the video in time.
Description
Technical Field
The application relates to the technical field of new energy automobiles, in particular to a guard against theft method, a guard against theft device, electronic equipment and a medium for a vehicle based on a guard pattern.
Background
The vehicle guard mode is used as a safety protection measure to prevent the vehicle from being stolen or other accidents. The mode can monitor the motion, sound, vibration and the like around the vehicle, can send an alarm to the vehicle owner when abnormal conditions are found, starts a video recording function, and records and stores the conditions through the Internet of vehicles cloud system. Although this mode plays an important role in vehicle safety protection, there are still some technical problems to be solved.
First, the sentinel mode is prone to false alarms. Ordinary activities in the daily environment, such as pedestrians slightly touching the vehicle or loud noise generated around, may be misinterpreted as abnormal conditions, resulting in the sentinel mode sending unnecessary alerts to the vehicle owner. The frequent false alarms not only can cause the owner to feel annoyance and reduce the trust degree on the sentry mode, but also can cause interference to the surrounding environment.
Second, even if the sentinel mode correctly recognizes an abnormal situation and notifies the owner, the existing notification manner (such as a short message or app message) may cause the owner to miss an important alarm. In addition, even if owners view alarms and videos in time, they may not be able to immediately take effective measures to prevent theft or other risk of the vehicle from occurring.
Thus, existing vehicle sentinel modes remain to be improved in terms of reducing false alarms, improving the effectiveness of alarms, and providing more timely, more effective vehicle owner responses. The vehicle anti-theft system aims at solving the problems, and improves the accuracy and the effectiveness of the vehicle anti-theft system by introducing more advanced sensor technology, cloud data analysis and vehicle owner interaction design.
Disclosure of Invention
In view of this, the embodiment of the application provides a vehicle anti-theft method, device, electronic equipment and medium based on a sentry mode, so as to solve the problems that the sentry mode of a vehicle is easy to misreport, the alarm effectiveness is low, and timely and effective vehicle owner response cannot be provided.
In a first aspect of an embodiment of the present application, there is provided a vehicle anti-theft method based on a sentinel mode, including: the method comprises the steps that the states of a vehicle are monitored in real time by utilizing various sensors arranged in the vehicle, and video pictures around the vehicle are shot in real time by utilizing a vehicle-mounted camera; identifying illegal operation and physical impact events according to events detected by the sensor and behaviors generated after the video pictures are analyzed; when the event detected by the sensor and/or the behavior generated after the video picture is analyzed accord with a preset anti-theft possibility threshold, starting a video recording function of the vehicle by using the vehicle-mounted terminal equipment, and uploading the recorded video to a cloud system in real time; analyzing the received video data by utilizing a cloud system, judging whether an actual anti-theft risk exists, and sending an anti-theft alarm notification to a vehicle owner through a robot telephone system after confirming an anti-theft event; after the vehicle owner receives the alarm notification, remotely checking real-time videos around the vehicle through a preset application program, and sending a voice warning to the vehicle through the application program; when the vehicle receives the voice warning sent by the vehicle owner, the voice warning is played through the vehicle-mounted loudspeaker, meanwhile, the tracking system of the vehicle is automatically activated after the vehicle owner confirms, and the vehicle position is tracked in real time by utilizing the positioning system of the vehicle so as to carry out remote anti-theft of the vehicle.
In a second aspect of embodiments of the present application, there is provided a vehicle anti-theft device based on a sentinel mode, comprising: the monitoring module is configured to monitor the state of the vehicle in real time by utilizing various sensors arranged in the vehicle, and shoot video pictures around the vehicle in real time by utilizing the vehicle-mounted camera; the identification module is configured to identify illegal operations and physical impact events according to events detected by the sensor and behaviors generated after analysis of the video picture; the recording module is configured to start a video recording function of the vehicle by using the vehicle-mounted terminal equipment and upload recorded videos to the cloud system in real time when events detected by the sensor and/or behaviors generated after analysis of the video pictures accord with a preset anti-theft possibility threshold; the analysis module is configured to analyze the received video data by utilizing the cloud system, judge whether the actual anti-theft risk exists, and send an anti-theft alarm notification to the vehicle owner through the robot telephone system after confirming the anti-theft event; the sending module is configured to remotely check real-time videos around the vehicle through a preset application program after the vehicle owner receives the alarm notification, and send a voice warning to the vehicle through the application program; the warning module is configured to play the voice warning through the vehicle-mounted loudspeaker after the vehicle receives the voice warning sent by the vehicle owner, meanwhile, the tracking system of the vehicle is automatically activated after the vehicle owner confirms, and the vehicle position is tracked in real time by the positioning system of the vehicle so as to conduct remote anti-theft on the vehicle.
In a third aspect of the embodiments of the present application, there is provided an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the above method when executing the computer program.
In a fourth aspect of the embodiments of the present application, there is provided a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the above method.
The above-mentioned at least one technical scheme that this application embodiment adopted can reach following beneficial effect:
the method comprises the steps of monitoring the state of a vehicle in real time by utilizing various sensors arranged in the vehicle, and shooting video pictures around the vehicle in real time by utilizing a vehicle-mounted camera; identifying illegal operation and physical impact events according to events detected by the sensor and behaviors generated after the video pictures are analyzed; when the event detected by the sensor and/or the behavior generated after the video picture is analyzed accord with a preset anti-theft possibility threshold, starting a video recording function of the vehicle by using the vehicle-mounted terminal equipment, and uploading the recorded video to a cloud system in real time; analyzing the received video data by utilizing a cloud system, judging whether an actual anti-theft risk exists, and sending an anti-theft alarm notification to a vehicle owner through a robot telephone system after confirming an anti-theft event; after the vehicle owner receives the alarm notification, remotely checking real-time videos around the vehicle through a preset application program, and sending a voice warning to the vehicle through the application program; when the vehicle receives the voice warning sent by the vehicle owner, the voice warning is played through the vehicle-mounted loudspeaker, meanwhile, the tracking system of the vehicle is automatically activated after the vehicle owner confirms, and the vehicle position is tracked in real time by utilizing the positioning system of the vehicle so as to carry out remote anti-theft of the vehicle. The vehicle guard mode can reduce false alarm occurrence, so that the effectiveness of an alarm is improved, and a more timely and effective vehicle owner response can be provided, so that the vehicle owner can check the alarm and the video in time, and take effective measures to prevent the vehicle from being stolen.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a sentinel mode-based vehicle anti-theft method provided in an embodiment of the present application;
fig. 2 is a schematic structural diagram of a guard against theft device for a vehicle based on a sentinel mode according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
In the technical background of the vehicle sentinel mode, the main purpose of this mode is to provide additional safety protection for the vehicle against theft or other accidents. The sentry mode realizes the guarding of the vehicle by monitoring the actions, sounds, vibrations and the like around the vehicle. When an abnormal situation is detected, the system sends an alarm to the vehicle owner, and starts a video recording function to record the situation around the vehicle. The videos can be uploaded and stored through a cloud system of the vehicle, so that a vehicle owner can check the videos after the event.
Although this mode provides an additional safety measure, there are some problems in practical applications. First, the problem of false alarm is that the common false alarm conditions include slight touching of pedestrians or surrounding noise such as construction sounds or pedestrian talking sounds. Frequent false alarms not only can cause the owner to feel puzzled, but also can reduce the trust degree of the sentry mode, and can also interfere people in the surrounding environment.
Secondly, even if the sentry mode successfully identifies a real security threat, the existing alarm processing mode has limitations. Typically, the vehicle networking cloud system sends a message notification via a sms or a vehicle owner application. However, this notification method has a risk of being ignored by the vehicle owner, and even if the vehicle owner sees an alarm and views a video, it may not be able to take timely action to prevent the security risk such as vehicle theft from occurring.
Thus, the vehicle sentinel mode is a valuable innovation in providing additional security protection, but its existing implementation still leaves room for improvement in false positive handling and effective protection against security threats.
The following describes the guard mode-based vehicle anti-theft method and device provided by the technical scheme of the application in detail with reference to the accompanying drawings and specific embodiments.
Fig. 1 is a schematic flow chart of a guard against theft method for a vehicle based on a guard pattern according to an embodiment of the present application. The sentinel mode-based vehicle anti-theft method of fig. 1 may be performed by a vehicle. As shown in fig. 1, the guard mode-based vehicle anti-theft method specifically may include:
s101, monitoring the state of a vehicle in real time by utilizing various sensors built in the vehicle, and shooting video pictures around the vehicle in real time by utilizing a vehicle-mounted camera;
s102, identifying illegal operation and physical impact events according to events detected by a sensor and behaviors generated after analysis of a video picture;
s103, when events detected by a sensor and/or behaviors generated after analysis of video pictures accord with a preset anti-theft probability threshold, starting a video recording function of a vehicle by using vehicle-mounted terminal equipment, and uploading recorded videos to a cloud system in real time;
S104, analyzing the received video data by utilizing the cloud system, judging whether an actual anti-theft risk exists, and sending an anti-theft alarm notice to a vehicle owner through the robot telephone system after confirming an anti-theft event;
s105, after the vehicle owner receives the alarm notification, remotely checking real-time videos around the vehicle through a preset application program, and sending a voice warning to the vehicle through the application program;
and S106, after the vehicle receives the voice warning sent by the vehicle owner, playing the voice warning through the vehicle-mounted loudspeaker, and simultaneously enabling a tracking system of the vehicle to be automatically activated after the vehicle owner confirms, and tracking the position of the vehicle in real time by using a positioning system of the vehicle so as to remotely prevent theft of the vehicle.
In some embodiments, the vehicle status is monitored in real time using various sensors built into the vehicle, including:
sensing a state change of the lock by using a lock core sensor of the lock, and generating a predetermined signal when the lock is illegally operated; and/or detecting the impact or knocking strength of the vehicle shell by utilizing the impact sensor, and generating an alarm signal when a preset strength threshold value is reached; and/or when the vehicle is controlled by adopting a communication link, detecting a vehicle control signal by using a wireless signal sensor, and generating an alarm signal when an illegal vehicle control signal is detected.
Specifically, embodiments of the present application provide an advanced vehicle safety monitoring system designed to monitor vehicle conditions in real-time and accurately identify potential illegal intrusions or vandalism. The system utilizes various sensors built in the vehicle, including a lock cylinder sensor, an impact sensor and a wireless signal sensor, so as to improve the safety protection capability of the vehicle and reduce the possibility of false alarm.
Further, a lock cylinder sensor is installed inside a lock of the vehicle for sensing a state change of the lock. When the lock is illegally operated, such as by picking the lock or attempting to use an illegal key, the sensor immediately recognizes an abnormal state and generates a predetermined alarm signal. The design of the sensor can effectively monitor and prevent the vehicle from being illegally started.
Further, the impact sensor is responsible for detecting the impact or tapping intensity to the vehicle housing. When the vehicle is impacted or knocked and the force reaches a preset intensity threshold, the sensor will generate an alarm signal. This helps identify the attempt to destroy or steal the vehicle while also filtering out vibrations caused by light bumps or normal pedestrian flow to reduce false positives.
Further, the wireless signal sensor is used for detecting a vehicle control signal under the condition that the vehicle is controlled by adopting a communication link mode. If the sensor detects an illegal control signal, such as an unauthorized remote control, it will immediately generate an alarm signal. This technique is particularly important for preventing theft of high-tech vehicles because it can identify and intercept illegal wireless control attempts.
In addition, the system integrates an intelligent algorithm for analyzing the data collected by the sensor to more accurately determine potential theft. For example, if the lock cylinder sensor and the impact sensor are triggered simultaneously, the system may determine a high risk event and send a more intense alarm. The comprehensive analysis can obviously improve the accuracy of the vehicle safety system and simultaneously reduce false alarms caused by daily activities.
In some embodiments, the method further comprises:
monitoring abnormal vibration of the vehicle in a stationary state with a vibration sensor to detect potential movement or vandalism; capturing sounds around the vehicle with a sound sensor to detect sounds or abnormal noise generated due to destructive operation; the change in light around the vehicle is monitored with an onboard camera to identify potential intrusion signs.
In particular, embodiments of the present application utilize various sensors to monitor the safety status of a vehicle, effectively identifying and responding to potential vandalism or intrusion behavior. The design of the system aims at providing all-round vehicle protection, reducing false alarms, and ensuring that a vehicle owner can be timely and accurately informed of any potential safety risk.
In one example, the vibration sensor is designed to monitor abnormal vibrations of the vehicle in a stationary state. The vibration sensor is capable of detecting an abnormal vibration pattern that may result when the vehicle is attempted to move, pry the lock, or otherwise break. Upon detection of an abnormal vibration, the system immediately analyzes the vibration intensity and pattern, determines whether it is a potential theft or vandalism, and sends an alarm after confirming the risk.
In one example, the function of the sound sensor is to capture sound around the vehicle. It can recognize sounds generated by destructive operations such as glass breaking, metal prying, or other abnormal noise. By analyzing the captured sound in real time, the system is able to distinguish between normal ambient noise and potential security threats, thereby activating an alarm when the latter is identified.
In one example, an onboard camera is used to monitor changes in light around the vehicle to identify potential signs of intrusion. For example, if someone tries to block the window with a shutter, or uses a flashlight to illuminate the vehicle at night, the camera may capture these abnormal light changes. The system comprehensively analyzes the information and the data of other sensors so as to improve the recognition accuracy and reduce false alarms.
In one example, the system also incorporates a Central Processing Unit (CPU) responsible for reconciling the data of the sensors and employing advanced algorithms to analyze and interpret the data. The CPU can process the sensor data in real time, identify potential threats, and send alerts to the vehicle owners through the vehicle-mounted communication system when necessary.
In some embodiments, the present application combines the signals detected by the sensors with behavioral characteristics generated after video analysis to determine if a preset anti-theft likelihood threshold is reached. For example, if the camera captures that someone is attempting to pick up the lock, and the lock cylinder sensor detects an anomaly, the system may determine that the event is at high risk and trigger a corresponding alarm. In this way, the system can more accurately distinguish between normal events (e.g., passers-by inadvertently touching the vehicle) and a genuine security threat. The method for combining the video picture analysis and the sensor data obviously improves the identification accuracy, thereby effectively reducing the false alarm rate. The following describes the anti-theft judging process in detail with reference to specific embodiments, and may specifically include the following:
The system first sets a series of event recognition criteria based on sensor data and video analysis, which define what type of behavior may be indicative of theft risk. For example, the sensor may be configured to trigger upon detection of an impact exceeding a certain intensity, and the video analysis algorithm may be trained to recognize certain actions such as breaking windows, picking locks, and the like.
When the sensor triggers an alarm, the system simultaneously starts video recording, and the real-time picture is uploaded to the cloud for analysis. The machine learning algorithm parses the video content to detect if suspicious behaviors corresponding to the sensor alarms exist. This data fusion enables the system to more fully understand the context of an event.
And the system carries out comprehensive evaluation according to the sensor signal and the video analysis result, and judges whether a preset theft prevention possibility threshold value is reached. Only if both information is consistent with the potential theft, will the system determine that the threshold has been met and take corresponding security measures.
The system verifies the authenticity of the event by comparing the sensor data to the video analysis results. For example, if the vibration sensor detects a vibration, but the video analysis does not find any abnormal behavior, the system may determine that such vibration is a false positive, such as a normal vibration caused by the passing of a roadside vehicle.
In some embodiments, the method for starting the video recording function of the vehicle by using the vehicle-mounted terminal device and uploading the recorded video to the cloud system in real time includes:
starting a high-definition camera arranged in the vehicle to record videos so as to cover key areas inside and outside the vehicle;
the recorded video is subjected to format coding by utilizing vehicle-mounted terminal equipment so as to meet the requirement of wireless network transmission;
transmitting the video data to a cloud system through a wireless communication module of the vehicle, and performing time stamp marking and storage on the received video data by using the cloud system;
combining a vehicle positioning system, synchronously recording vehicle position data when video is recorded, and adding the vehicle position data into the video data;
and carrying out preliminary analysis processing on the recorded video by using the vehicle-mounted terminal equipment, and marking a motion or change area in the video so as to facilitate quick identification and processing of a cloud system.
Specifically, the embodiment of the application further describes in detail a system for starting and managing a vehicle video recording function by using a vehicle-mounted terminal device (TBOX), and a method for uploading videos to a cloud system in real time through a wireless network. The system is designed to quickly respond to and record related events when a vehicle is subjected to collision, impact or illegal intrusion, and simultaneously ensure timely transmission and effective storage of data.
Further, when the sensors of the vehicle detect an abnormal event such as a collision, an impact or a vehicle lock being abnormal, and the intensity of these behaviors reaches a preset alarm threshold, the in-vehicle terminal device (TBOX) will be automatically activated. And the TBOX starts a high-definition camera built in the vehicle immediately, and video recording is started to the key areas inside and outside the vehicle. These high definition cameras are strategically placed to ensure coverage of all important views of the vehicle.
Further, the recorded video needs to be subjected to format coding through the vehicle-mounted terminal equipment so as to adapt to the transmission requirement of the wireless network. This includes compressing the video to reduce the file size while maintaining sufficient image quality to ensure a clear recording of the event.
Further, the processed and encoded video data is then uploaded to the cloud system via the wireless communication module of the vehicle. When receiving video data, the cloud system marks and stores the time stamp of the video data, so that each video segment can accurately reflect the recording time and the occurrence sequence of events.
Further, in combination with the vehicle positioning system, the vehicle position data during video recording is also recorded synchronously and is added to the video data. This step is critical to the specific location of occurrence of the subsequent analysis event, especially in the event of a vehicle movement or theft.
Further, the vehicle-mounted terminal equipment is also responsible for carrying out preliminary analysis processing on the recorded video. This includes marking motion or change areas in the video to facilitate quick identification and processing by the cloud system. This step is very important for reducing cloud processing load and improving event response speed.
Further, the cloud system is not only responsible for storing and managing video data, but also performs advanced analysis based on the received signal values, such as judging the strength of collision and impact, and abnormal actions of the lock. In addition, the cloud system can also provide remote access after the event occurs, so that an owner or a related authority can view the event video at any time.
In some embodiments, analyzing the received video data with the cloud system to determine whether there is an actual anti-theft risk includes:
analyzing the uploaded video data by utilizing a preset machine learning algorithm to detect abnormal activities or suspicious behaviors in the video; analyzing the objects in the video by utilizing an image recognition technology to identify potential suspects or vehicles; analyzing the time and date of the video to determine the time at which the anti-theft event occurred; analyzing the geographic environment and the background in the video according to the position data of the vehicle to determine the position of the event; and the cloud system generates a risk assessment report according to the analysis result, wherein the risk assessment report comprises an anti-theft threat level and response measures.
Specifically, the embodiment of the application also discloses a method for carrying out deep analysis on the received vehicle video data by utilizing the cloud system in detail, aiming at judging the actual anti-theft risk and responding correspondingly. The system provides comprehensive anti-theft risk assessment for vehicle owners by using advanced machine learning algorithms, image recognition technology and time and geographic environment analysis.
Further, the cloud system analyzes video data uploaded from the vehicle by adopting a preset machine learning algorithm. These algorithms are specifically designed to detect abnormal activity and suspicious behavior in video, such as hacking, thief action, or other unusual actions. Through continuous learning and optimization, the algorithm can identify real threats with high accuracy.
Further, by utilizing the image recognition technology, the cloud system can analyze objects in the video and recognize potential suspects or vehicles. The technology can identify details such as faces, license plates, clothing features and the like, and help to further confirm identity of suspects or track stolen vehicles.
Further, a time and date analysis is performed on the video to determine the exact moment of occurrence of the anti-theft event. This is very important for post police investigation and tracking, and can provide key timelines.
Further, in combination with the vehicle's location data, the cloud system analyzes the geographic environment and context in the video. This may help determine the specific location where the event occurred, particularly if the vehicle was moved or stolen.
Based on the analysis results, the cloud system generates an exhaustive risk assessment report. This report will include the level of anti-theft threat, possible suspicion and vehicle information, and suggested response measures. For example, the report may suggest that the owner be alarming quickly, or provide critical information to assist the police in acting quickly.
In some embodiments, after confirming the theft event, sending a theft alarm notification to the vehicle owner via the robotic phone system, comprising:
automatically identifying contact information of a vehicle owner, and determining a mobile phone number for receiving an alarm notification through vehicle registration data or an emergency contact mode preset by the vehicle owner;
generating a voice message by utilizing a voice synthesis technology, wherein the voice message contains basic information for describing the anti-theft event;
generating a safety suggestion or an emergency action guide according to the real-time state information of the vehicle and the cloud analysis result;
when sending an alarm notification, providing a quick response option, and allowing the vehicle owner to directly access an application program through a telephone or a link so as to monitor the state and video of the vehicle in real time;
If the car owner fails to respond to the notification in time, the system automatically tries to contact for a plurality of times until the car owner confirms that the alarm notification is received.
Specifically, after confirming the theft-proof event, the advanced communication method of the theft-proof alarm notice is sent to the car owner through the robot telephone system. This approach not only automatically informs the vehicle owner, but also provides the option of real-time vehicle condition monitoring, as well as allowing the vehicle owner to interact remotely to deter or mitigate the effects of theft.
Further, the system automatically identifies the contact information of the vehicle owner through the vehicle registration data or the preset emergency contact information of the vehicle owner. This ensures that the alarm notification can be accurately and quickly sent to the car owner's cell phone number in the event of an anti-theft event.
Further, using speech synthesis techniques, the system generates a voice message describing the basic information of the anti-theft event. These messages are concise and clear and provide critical information about the event, such as time of occurrence, place and possibly suspicion description.
Further, in combination with real-time status information of the vehicle and cloud analysis results, the system generates safety suggestions or emergency action guidelines. This may include suggesting immediate alarms or guiding how to use the vehicle host application for remote monitoring and control.
Further, upon sending the alert notification, the system provides a quick response option allowing the owner to directly access the application via phone or link, monitoring vehicle status and video in real time. This allows the vehicle owner to immediately learn about the situation and take the necessary action.
Further, if the owner fails to respond to the notification in time, the system automatically attempts to contact multiple times until the owner confirms that the alarm notification is received. In the car owner app, the user can acquire videos of surrounding conditions of the car and play the videos. In addition, the user may also send voices through the app, which are transmitted to the vehicle through the internet of vehicles platform and played through the vehicle's loudspeaker. This function may be used to alert or deterre potential thieves, thereby preventing or mitigating a theft event.
In some embodiments, the tracking system of the vehicle is automatically activated after the owner confirms, and the vehicle position is tracked in real time by using the positioning system of the vehicle, comprising:
accurate positioning is carried out by utilizing a global positioning system built in the vehicle so as to provide real-time geographic coordinates of the vehicle;
transmitting the position data to a cloud system in real time by utilizing a wireless communication module of the vehicle, so that a vehicle owner obtains the latest position information of the vehicle from the cloud system through an application program;
In the tracking mode, increasing the positioning frequency of the vehicle positioning system so as to continuously track the data;
and fusing the tracking data with the map data by using the cloud system, generating a graphical interface to display the moving path of the vehicle, and sending the moving path to the application program for display.
Specifically, the embodiment of the application also details a vehicle tracking system which is automatically activated after a vehicle owner confirms a theft event and tracks the position of the vehicle in real time by utilizing a high-precision positioning system of the vehicle. The design of this system aims to respond quickly to theft events and provide real-time vehicle location information to owners and law enforcement, thereby increasing the likelihood of a stolen vehicle being returned.
Further, a Global Positioning System (GPS) built in the vehicle is used to precisely locate the vehicle, providing real-time geographic coordinates. This high-precision positioning technique ensures the accuracy of the vehicle position information, and works effectively even in cities.
Further, the real-time location data is transmitted to the cloud system using the wireless communication module of the vehicle. This allows the vehicle owner to obtain the latest position information of the vehicle from the cloud system through a special application, even if the vehicle owner is at a location remote from the vehicle.
Further, in the tracking mode, the system increases the positioning frequency of the vehicle positioning system, providing continuous tracking data. This allows the vehicle owner to observe the real-time movement of the vehicle, as well as any possible stopping points.
Further, the cloud system fuses the tracking data with the map data to generate a graphical interface to display the moving path of the vehicle. Such visual representations enable the vehicle owner to more intuitively understand the movement of the vehicle and the possible travel routes.
Further, the moving path of the vehicle is sent to an application program for display, and the vehicle owner can monitor the position and moving track of the vehicle on a mobile phone or other mobile equipment in real time.
Furthermore, to enhance the tracking effect, the system may also integrate additional security functions, such as automatically informing the nearest law enforcement or activating the built-in anti-theft system of the vehicle in certain situations. This not only provides an effective theft-proof tool for vehicle owners, but also provides valuable information to law enforcement, helping them to track and recover stolen vehicles more quickly.
According to the technical scheme provided by the embodiment of the application, the vehicle state can be accurately monitored by utilizing the high-precision sensor, the vehicle-mounted camera and the global positioning system, and potential theft events can be timely detected and responded. The anti-theft efficiency is improved, the response accuracy is greatly improved, and the possibility of false alarm is reduced. The vehicle-mounted terminal equipment and the cloud system in the technical scheme are combined, and the capability of monitoring the vehicle state in real time is provided for the vehicle owners. Through real-time video uploading and position tracking, a vehicle owner can know the safety condition of the vehicle at any time and take measures in time to prevent theft or other illegal actions. By utilizing machine learning and image recognition technology, the technical scheme can intelligently analyze video data and quickly recognize suspicious behaviors or personnel. In conjunction with time and geographic location analysis, the system can provide comprehensive theft event assessment. By combining the robot telephone system and the vehicle owner application program, the technical scheme can immediately send an alarm notice to the vehicle owner when the anti-theft event is detected, and provide real-time data access. This notification mechanism increases the speed and efficiency of the vehicle owner in responding to a theft event. Through the car owner application program, the car owner can not only monitor the car in real time, but also can remotely control the car, such as sending warning information or instructions to the car. This increases the likelihood of tampering with the theft event, helping to prevent or mitigate loss from theft. The technical scheme provides a comprehensive vehicle safety management scheme, and a multi-layer and all-dimensional vehicle safety protection system is constructed from the prevention and detection of response anti-theft events. .
The following are device embodiments of the present application, which may be used to perform method embodiments of the present application. For details not disclosed in the device embodiments of the present application, please refer to the method embodiments of the present application.
Fig. 2 is a schematic structural diagram of a guard against theft device for a vehicle based on a sentinel mode according to an embodiment of the present application.
As shown in fig. 2, the guard against theft device for a vehicle based on a sentinel mode includes:
the monitoring module 201 is configured to monitor the state of the vehicle in real time by utilizing various sensors built in the vehicle, and shoot video pictures around the vehicle in real time by utilizing the vehicle-mounted camera;
an identification module 202 configured to identify illegal operations and physical impact events based on events detected by the sensor and behaviors generated after analysis of the video picture;
the recording module 203 is configured to start a video recording function of the vehicle by using the vehicle-mounted terminal device and upload the recorded video to the cloud system in real time when the event detected by the sensor and/or the behavior generated after the video image is analyzed accord with a preset anti-theft possibility threshold;
the analysis module 204 is configured to analyze the received video data by using the cloud system, judge whether an actual anti-theft risk exists, and send an anti-theft alarm notification to the vehicle owner through the robot telephone system after confirming the anti-theft event;
The sending module 205 is configured to remotely check real-time videos around the vehicle through a preset application program after the vehicle owner receives the alarm notification, and send a voice warning to the vehicle through the application program;
the warning module 206 is configured to play the voice warning through the vehicle-mounted loudspeaker after the vehicle receives the voice warning sent by the vehicle owner, and simultaneously, the tracking system of the vehicle is automatically activated after the vehicle owner confirms, and the vehicle location is tracked in real time by using the positioning system of the vehicle so as to conduct remote anti-theft on the vehicle.
In some embodiments, the monitoring module 201 of fig. 2 senses a change in state of the vehicle lock using a vehicle lock cylinder sensor and generates a predetermined signal when the vehicle lock is illegally operated; and/or detecting the impact or knocking strength of the vehicle shell by utilizing the impact sensor, and generating an alarm signal when a preset strength threshold value is reached; and/or when the vehicle is controlled by adopting a communication link, detecting a vehicle control signal by using a wireless signal sensor, and generating an alarm signal when an illegal vehicle control signal is detected.
In some embodiments, the monitoring module 201 of FIG. 2 utilizes vibration sensors to monitor abnormal vibrations of the vehicle in a stationary state to detect potential movement or vandalism; capturing sounds around the vehicle with a sound sensor to detect sounds or abnormal noise generated due to destructive operation; the change in light around the vehicle is monitored with an onboard camera to identify potential intrusion signs.
In some embodiments, the recording module 203 of fig. 2 starts a high-definition camera built in the vehicle to record video so as to cover the critical areas inside and outside the vehicle; the recorded video is subjected to format coding by utilizing vehicle-mounted terminal equipment so as to meet the requirement of wireless network transmission; transmitting the video data to a cloud system through a wireless communication module of the vehicle, and performing time stamp marking and storage on the received video data by using the cloud system; combining a vehicle positioning system, synchronously recording vehicle position data when video is recorded, and adding the vehicle position data into the video data; and carrying out preliminary analysis processing on the recorded video by using the vehicle-mounted terminal equipment, and marking a motion or change area in the video so as to facilitate quick identification and processing of a cloud system.
In some embodiments, the analysis module 204 of fig. 2 analyzes the uploaded video data using a predetermined machine learning algorithm to detect abnormal activity or suspicious behavior in the video; analyzing the objects in the video by utilizing an image recognition technology to identify potential suspects or vehicles; analyzing the time and date of the video to determine the time at which the anti-theft event occurred; analyzing the geographic environment and the background in the video according to the position data of the vehicle to determine the position of the event; and the cloud system generates a risk assessment report according to the analysis result, wherein the risk assessment report comprises an anti-theft threat level and response measures.
In some embodiments, the analysis module 204 of fig. 2 automatically identifies the contact information of the vehicle owner, determines the mobile phone number that receives the alert notification from the vehicle registration data or the preset emergency contact information of the vehicle owner; generating a voice message by utilizing a voice synthesis technology, wherein the voice message contains basic information for describing the anti-theft event; generating a safety suggestion or an emergency action guide according to the real-time state information of the vehicle and the cloud analysis result; when sending an alarm notification, providing a quick response option, and allowing the vehicle owner to directly access an application program through a telephone or a link so as to monitor the state and video of the vehicle in real time; if the car owner fails to respond to the notification in time, the system automatically tries to contact for a plurality of times until the car owner confirms that the alarm notification is received.
In some embodiments, the warning module 206 of FIG. 2 utilizes a global positioning system built into the vehicle for accurate positioning to provide real-time geographic coordinates of the vehicle; transmitting the position data to a cloud system in real time by utilizing a wireless communication module of the vehicle, so that a vehicle owner obtains the latest position information of the vehicle from the cloud system through an application program; in the tracking mode, increasing the positioning frequency of the vehicle positioning system so as to continuously track the data; and fusing the tracking data with the map data by using the cloud system, generating a graphical interface to display the moving path of the vehicle, and sending the moving path to the application program for display.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic of each process, and should not limit the implementation process of the embodiment of the present application in any way.
Fig. 3 is a schematic structural diagram of the electronic device 3 provided in the embodiment of the present application. As shown in fig. 3, the electronic apparatus 3 of this embodiment includes: a processor 301, a memory 302 and a computer program 303 stored in the memory 302 and executable on the processor 301. The steps of the various method embodiments described above are implemented when the processor 301 executes the computer program 303. Alternatively, the processor 301, when executing the computer program 303, performs the functions of the modules/units in the above-described apparatus embodiments.
Illustratively, the computer program 303 may be partitioned into one or more modules/units, which are stored in the memory 302 and executed by the processor 301 to complete the present application. One or more of the modules/units may be a series of computer program instruction segments capable of performing a specific function for describing the execution of the computer program 303 in the electronic device 3.
The electronic device 3 may be an electronic device such as a desktop computer, a notebook computer, a palm computer, or a cloud server. The electronic device 3 may include, but is not limited to, a processor 301 and a memory 302. It will be appreciated by those skilled in the art that fig. 3 is merely an example of the electronic device 3 and does not constitute a limitation of the electronic device 3, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., the electronic device may also include an input-output device, a network access device, a bus, etc.
The processor 301 may be a central processing unit (Central Processing Unit, CPU) or other general purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 302 may be an internal storage unit of the electronic device 3, for example, a hard disk or a memory of the electronic device 3. The memory 302 may also be an external storage device of the electronic device 3, for example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 3. Further, the memory 302 may also include both an internal storage unit and an external storage device of the electronic device 3. The memory 302 is used to store computer programs and other programs and data required by the electronic device. The memory 302 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in this application, it should be understood that the disclosed apparatus/computer device and method may be implemented in other ways. For example, the apparatus/computer device embodiments described above are merely illustrative, e.g., the division of modules or elements is merely a logical functional division, and there may be additional divisions of actual implementations, multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application implements all or part of the flow in the methods of the above embodiments, or may be implemented by a computer program to instruct related hardware, and the computer program may be stored in a computer readable storage medium, where the computer program may implement the steps of the respective method embodiments described above when executed by a processor. The computer program may comprise computer program code, which may be in source code form, object code form, executable file or in some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (10)
1. A sentinel mode-based vehicle anti-theft method, comprising:
the method comprises the steps that the states of a vehicle are monitored in real time by utilizing various sensors arranged in the vehicle, and video pictures around the vehicle are shot in real time by utilizing a vehicle-mounted camera;
identifying illegal operation and physical impact events according to the events detected by the sensor and the behaviors generated after the video pictures are analyzed;
when the event detected by the sensor and/or the behavior generated after the video picture is analyzed accord with a preset anti-theft possibility threshold, starting a video recording function of the vehicle by using vehicle-mounted terminal equipment, and uploading the recorded video to a cloud system in real time;
Analyzing the received video data by utilizing a cloud system, judging whether an actual anti-theft risk exists, and sending an anti-theft alarm notification to a vehicle owner through a robot telephone system after confirming an anti-theft event;
when the vehicle owner receives the alarm notification, remotely checking real-time videos around the vehicle through a preset application program, and sending a voice warning to the vehicle through the application program;
and after the vehicle receives the voice warning sent by the vehicle owner, playing the voice warning through the vehicle-mounted loudspeaker, and simultaneously enabling the tracking system of the vehicle to be automatically activated after the vehicle owner confirms, and tracking the position of the vehicle in real time by utilizing the positioning system of the vehicle so as to carry out remote anti-theft of the vehicle.
2. The method of claim 1, wherein the real-time monitoring of the vehicle condition using a plurality of sensors built into the vehicle comprises:
sensing a state change of the lock by using a lock core sensor of the lock, and generating a predetermined signal when the lock is illegally operated; and/or detecting the impact or knocking strength of the vehicle shell by utilizing the impact sensor, and generating an alarm signal when a preset strength threshold value is reached; and/or when the vehicle is controlled by adopting a communication link, detecting a vehicle control signal by using a wireless signal sensor, and generating an alarm signal when an illegal vehicle control signal is detected.
3. The method according to claim 2, wherein the method further comprises:
monitoring abnormal vibration of the vehicle in a stationary state with a vibration sensor to detect potential movement or vandalism; capturing sounds around the vehicle with a sound sensor to detect sounds or abnormal noise generated due to destructive operation; the change in light around the vehicle is monitored with an onboard camera to identify potential intrusion signs.
4. The method of claim 1, wherein the enabling the video recording function of the vehicle with the vehicle-mounted terminal device and uploading the recorded video to the cloud system in real time comprises:
starting a high-definition camera arranged in the vehicle to record videos so as to cover key areas inside and outside the vehicle;
the recorded video is subjected to format coding by utilizing the vehicle-mounted terminal equipment so as to meet the requirement of wireless network transmission;
transmitting the video data to a cloud system through a wireless communication module of the vehicle, and performing time stamp marking and storage on the received video data by using the cloud system;
combining a vehicle positioning system, synchronously recording vehicle position data when video is recorded, and adding the vehicle position data into the video data;
And carrying out preliminary analysis processing on the recorded video by using the vehicle-mounted terminal equipment, and marking a motion or change area in the video so as to facilitate quick identification and processing of a cloud system.
5. The method of claim 1, wherein the analyzing the received video data with the cloud system to determine whether there is an actual anti-theft risk comprises:
analyzing the uploaded video data by utilizing a preset machine learning algorithm to detect abnormal activities or suspicious behaviors in the video; analyzing the objects in the video by utilizing an image recognition technology to identify potential suspects or vehicles; analyzing the time and date of the video to determine the time at which the anti-theft event occurred; analyzing the geographic environment and the background in the video according to the position data of the vehicle to determine the position of the event; and the cloud system generates a risk assessment report according to the analysis result, wherein the risk assessment report comprises an anti-theft threat level and response measures.
6. The method of claim 5, wherein said sending a burglar alarm notification to the vehicle owner via the robotic phone system after confirming the burglar event comprises:
Automatically identifying contact information of a vehicle owner, and determining a mobile phone number for receiving an alarm notification through vehicle registration data or an emergency contact mode preset by the vehicle owner;
generating a voice message by utilizing a voice synthesis technology, wherein the voice message contains basic information for describing the anti-theft event;
generating a safety suggestion or an emergency action guide according to the real-time state information of the vehicle and the cloud analysis result;
when sending an alarm notification, providing a quick response option, and allowing the vehicle owner to directly access an application program through a telephone or a link so as to monitor the state and video of the vehicle in real time;
if the car owner fails to respond to the notification in time, the system automatically tries to contact for a plurality of times until the car owner confirms that the alarm notification is received.
7. The method of claim 1, wherein the tracking system of the vehicle is automatically activated upon confirmation by the owner of the vehicle, and wherein tracking the vehicle location in real time using the vehicle's positioning system comprises:
accurate positioning is carried out by utilizing a global positioning system built in the vehicle so as to provide real-time geographic coordinates of the vehicle;
transmitting the position data to a cloud system in real time by utilizing a wireless communication module of the vehicle, so that a vehicle owner obtains the latest position information of the vehicle from the cloud system through an application program;
In the tracking mode, increasing the positioning frequency of the vehicle positioning system so as to continuously track the data;
and fusing the tracking data with the map data by utilizing the cloud system, generating a graphical interface to display the moving path of the vehicle, and sending the moving path to an application program for display.
8. A sentinel mode-based vehicle anti-theft device, comprising:
the monitoring module is configured to monitor the state of the vehicle in real time by utilizing various sensors arranged in the vehicle, and shoot video pictures around the vehicle in real time by utilizing the vehicle-mounted camera;
the identification module is configured to identify illegal operations and physical impact events according to the events detected by the sensor and the behaviors generated after the video pictures are analyzed;
the recording module is configured to start a video recording function of the vehicle by using the vehicle-mounted terminal equipment and upload recorded videos to the cloud system in real time when the events detected by the sensor and/or the behaviors generated after the video pictures are analyzed accord with a preset anti-theft possibility threshold;
the analysis module is configured to analyze the received video data by utilizing the cloud system, judge whether the actual anti-theft risk exists, and send an anti-theft alarm notification to the vehicle owner through the robot telephone system after confirming the anti-theft event;
The sending module is configured to remotely check real-time videos around the vehicle through a preset application program after the vehicle owner receives the alarm notification, and send a voice warning to the vehicle through the application program;
and the warning module is configured to play the voice warning through the vehicle-mounted loudspeaker after the vehicle receives the voice warning sent by the vehicle owner, and simultaneously, the tracking system of the vehicle is automatically activated after the vehicle owner confirms, and the vehicle position is tracked in real time by utilizing the positioning system of the vehicle so as to carry out remote anti-theft of the vehicle.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of any one of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the method according to any one of claims 1 to 7.
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| CN202311617900.6A CN117601801A (en) | 2023-11-29 | 2023-11-29 | Guard mode-based vehicle anti-theft method and device, electronic equipment and medium |
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| CN202311617900.6A CN117601801A (en) | 2023-11-29 | 2023-11-29 | Guard mode-based vehicle anti-theft method and device, electronic equipment and medium |
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