Vehicle video monitoring control method and device and computer equipment

Abstract

The invention discloses a vehicle video monitoring control method and device and computer equipment. The method comprises the steps that the current position of a vehicle is determined; if the current position is located in the first area, the vehicle is controlled to output prompt information through the cloud platform, and the prompt information is used for prompting a user to close a video monitoring function of the vehicle; if the current position is located in the second area, the vehicle is controlled to close the video monitoring function through the cloud platform, the second area is located in the first area or adjacent to the first area, and therefore area early warning and area prohibition of the video monitoring function of the vehicle are achieved through differentiated area management strategies; and the cost of managing the video monitoring function of the vehicle is reduced under the condition that the normal passing of the vehicle is not influenced.

Description

Technical Field

[0001] The present application relates to the field of vehicle monitoring, and more specifically, to a control method, device and computer equipment for vehicle video monitoring. Background Art

[0002] With the development of science and technology, cars are becoming more and more intelligent. For example, vehicles can monitor the environment around them in real time through on-board cameras or vibration sensors to improve the safety of vehicle use. However, due to concerns about data confidentiality and privacy, many institutions with high confidentiality levels, such as scientific research institutes, government agencies, airports, etc., prohibit vehicles with video surveillance functions from entering, which brings high costs to the management of vehicle video surveillance functions. Summary of the invention

[0003] In view of this, the embodiments of the present application propose a vehicle video monitoring control method, device and computer equipment to improve the above-mentioned problems.

[0004] In a first aspect, an embodiment of the present application provides a method for controlling vehicle video surveillance, the method comprising: determining a current position of a vehicle; if the current position is located in a first area, controlling the vehicle to output a prompt message through a cloud platform, the prompt message being used to prompt a user to turn off a video surveillance function of the vehicle; if the current position is located in a second area, controlling the vehicle to turn off a video surveillance function through the cloud platform, the second area being located within the first area or adjacent to the first area.

[0005] In a second aspect, an embodiment of the present application provides a method for controlling vehicle video surveillance, the method comprising: receiving a target instruction sent by a core network; if the target instruction is a first instruction, controlling the vehicle to output a prompt message, wherein the prompt message is used to prompt a user to turn off the video surveillance function of the vehicle, and the first instruction is sent when the core network determines that the current position of the vehicle is located in a first area; if the target instruction is a second instruction, controlling the vehicle to turn off the video surveillance function, and the second instruction is sent when the core network determines that the current position of the vehicle is located in a second area, and the second area is located inside the first area or adjacent to the first area.

[0006] In a third aspect, an embodiment of the present application provides a method for controlling vehicle video surveillance, the method comprising: if a first instruction sent by a cloud platform is received, outputting a prompt message in response to the first instruction, the prompt message being used to prompt a user to turn off the video surveillance function of the vehicle, the first instruction being sent to the cloud platform by the core network when it is determined that the current position of the vehicle is located in a first area; if a third instruction sent by the cloud platform is received, turning off the video surveillance function in response to the third instruction, the third instruction being sent by the cloud platform based on a second instruction sent by the core network when it is determined that the working state of the video surveillance function of the vehicle is in an on state, the second instruction being sent to the cloud platform when the core network determines that the current position of the vehicle is located in a second area, and the second area is located inside or adjacent to the first area.

[0007] In a fourth aspect, an embodiment of the present application provides a vehicle video surveillance control device, the device comprising: a vehicle current position determination module, a vehicle video surveillance control first module, and a vehicle video surveillance control second module. The vehicle current position determination module is used to determine the current position of the vehicle; the vehicle video surveillance control first module is used to control the vehicle to output a prompt message through a cloud platform if the current position is in a first area, the prompt message is used to prompt the user to turn off the video surveillance function of the vehicle; the vehicle video surveillance control second module is used to control the vehicle to turn off the video surveillance function through the cloud platform if the current position is in a second area, the second area is located inside the first area or adjacent to the first area.

[0008] In a fifth aspect, an embodiment of the present application provides a control device for vehicle video surveillance, the device comprising: a target instruction receiving module, a first response module and a second response module. The target instruction receiving module is used to receive a target instruction sent by a core network; the first response module is used to control the vehicle to output a prompt message if the target instruction is a first instruction, the prompt message is used to prompt the user to turn off the video surveillance function of the vehicle, the first instruction is sent when the core network determines that the current position of the vehicle is located in a first area; the second response module is used to control the vehicle to turn off the video surveillance function if the target instruction is a second instruction, the second instruction is sent when the core network determines that the current position of the vehicle is located in a second area, the second area is located inside the first area or adjacent to the first area.

[0009] In a sixth aspect, an embodiment of the present application provides a control device for vehicle video surveillance, the device comprising: a prompt information output module and a video surveillance function shutdown module. The prompt information output module is used to output prompt information in response to a first instruction sent by a cloud platform if a first instruction is received, the prompt information is used to prompt a user to shut down the video surveillance function of the vehicle, the first instruction is sent to the cloud platform by the core network when the current position of the vehicle is determined to be in a first area; the video surveillance function shutdown module is used to shut down the video surveillance function in response to a third instruction sent by the cloud platform if a third instruction is received, the third instruction is sent by the cloud platform when the working state of the video surveillance function of the vehicle is in an on state based on the second instruction sent by the core network, the second instruction is sent to the cloud platform when the core network determines that the current position of the vehicle is in a second area, the second area is located inside the first area or adjacent to the first area.

[0010] In the seventh aspect, an embodiment of the present application provides a computer device, comprising a memory and a processor, wherein the memory is coupled to the processor, and the memory stores instructions. When the instructions are executed by the processor, the processor executes the vehicle video monitoring control method provided in the first, second and third aspects above.

[0011] In an eighth aspect, an embodiment of the present application provides a computer-readable storage medium, in which a program code is stored. The program code can be called by a processor to execute the vehicle video surveillance control method provided in the first, second and third aspects above.

[0012] In the scheme of the present application, the computer device determines the current position of the vehicle and determines the positional relationship between the current position and a first area and a second area, wherein the second area is located inside the first area or adjacent to the first area. When the current position is located in the first area, the cloud platform is used to control the vehicle to output a prompt message, and the prompt message is used to prompt the user to turn off the video surveillance function of the vehicle. When the current position is located in the second area, the cloud platform is used to control the vehicle to turn off the video surveillance function, so as to achieve regional warning and regional prohibition of the vehicle's video surveillance function through differentiated regional management strategies, thereby ensuring the security and privacy of data in sensitive areas and achieving low-cost management of the vehicle's video surveillance function without affecting the normal passage of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0014] Figure 1 A schematic diagram showing an application scenario of a vehicle video monitoring control method provided by an embodiment of the present application;

[0015] Figure 2 A schematic diagram of a process flow of a vehicle video monitoring control method provided by an embodiment of the present application is shown;

[0016] Figure 3 A schematic diagram of a process flow of a vehicle video monitoring control method provided by an embodiment of the present application is shown;

[0017] Figure 4 A schematic diagram of a process flow of a vehicle video monitoring control method provided by an embodiment of the present application is shown;

[0018] Figure 5 A structural block diagram of a vehicle video monitoring control system provided by an embodiment of the present application is shown;

[0019] Figure 6 A schematic diagram of a process flow of a vehicle video monitoring control method provided by an embodiment of the present application is shown;

[0020] Figure 7 A module block diagram of a vehicle video monitoring control device provided by an embodiment of the present application is shown;

[0021] Figure 8 A module block diagram of a vehicle video monitoring control device provided by an embodiment of the present application is shown;

[0022] Fig. 9 A module block diagram of a vehicle video monitoring control device provided by an embodiment of the present application is shown;

[0023] Fig.10 A block diagram of a computer device for executing a vehicle video monitoring control method according to an embodiment of the present application is shown;

[0024] Fig.11 A storage unit for storing or carrying program codes for implementing a control method for vehicle video monitoring according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0026] The video surveillance functions of vehicles mainly include real-time monitoring, video playback, trajectory playback and abnormal behavior warning, etc. These functions are realized through the cameras, GPS locators and wireless communication technologies installed on the vehicles, which can provide important support for the safety management and dispatch of vehicles.

[0027] For example, with the development of smart car technology, vehicle sentry mode has gradually become popular as a smarter security monitoring function. The vehicle sentry mode is a new type of security monitoring function; when the vehicle is parked and locked, the surrounding environment is monitored in real time through on-board cameras or vibration sensors. If a suspicious intruder is detected, the sentry mode will upload the captured video data to the cloud platform and issue an alarm to the owner in time. However, some sensitive areas prohibit vehicles from using the sentry mode function due to privacy protection or safety regulations.

[0028] In the related technology, the methods of regional prohibition of vehicle sentinel mode include: introducing a third-party intermediary agency on the basis of the telematics service platform; when the vehicle enters a sensitive area, it applies for identity authentication to the intermediary agency, and can enter the sensitive area only after the authentication is passed; at the same time, when the vehicle sentinel mode function is turned on, the recorded video data is uploaded in the form of blockchain and strongly encrypted; when the owner subsequently accesses the video data record, it is also necessary to send a request to the intermediary agency, and the intermediary agency decides whether to authorize according to the strategy to achieve the purpose of information protection in sensitive areas. However, the independently deployed third-party intermediary agency in this solution cannot guarantee authority, its information security capabilities are limited, it is vulnerable to illegal intrusion and data tampering, and the deployment cost is high; at the same time, the vehicle can only enter the sensitive area after the identity authentication is successful, which restricts the vehicle's access; in addition, only the video data recorded by the vehicle is strongly encrypted and uploaded to the cloud platform, so that the video data actually stored in the vehicle and the cloud platform always exists, which makes the video data have a high risk of leakage.

[0029] Therefore, in the related art, the management of the vehicle's video surveillance function has the problems of high cost, low reliability, inability to prohibit the sentinel mode function from entering sensitive areas from the source, and a high risk of leakage of video data stored locally and in the cloud.

[0030] In view of the above problems, the inventors have found through long-term research that they have proposed the vehicle video surveillance control method, device and computer equipment provided in the embodiments of the present application, which realizes the regional warning and regional prohibition of the vehicle video surveillance function through differentiated regional management strategies, ensures the security and privacy of data in sensitive areas, and realizes the low-cost management of the vehicle video surveillance function without affecting the normal passage of the vehicle. Among them, the specific vehicle video surveillance control method is described in detail in the subsequent embodiments.

[0031] In order to better understand the solutions of the embodiments of the present application, the technical terms used in the embodiments of the present application are explained below.

[0032] The core network can divide the mobile network into three parts: base station subsystem, network subsystem, and system support parts such as security management. The core network part is located in the network subsystem. The main function of the core network is to connect the call request or data request from port A to different networks.

[0033] TSP, Telematics Service Provider, cloud platform, refers to the state of a software program when it is executed.

[0034] MEC, Multi-access Edge Computing, can use wireless access networks to provide telecom users with IT services and cloud computing functions nearby, creating a telecom-grade service environment with high performance, low latency and high bandwidth, accelerating the rapid download of various content, services and applications in the network, allowing consumers to enjoy an uninterrupted high-quality network experience.

[0035] The core network sinking MEC refers to sinking the user plane functions of the traditional core network (such as processing and forwarding of user data) to the edge of the network, that is, close to the user or data source. The purpose of this is to reduce the transmission distance of data in the network, thereby reducing latency and improving data processing speed and efficiency.

[0036] TBOX, Telematics Box, is an on-board remote communication terminal used for vehicle fault diagnosis, parameter configuration, software update and other functions.

[0037] MQTT, Message Queuing Telemetry Transport, message queue telemetry transport protocol.

[0038] VIN, Vehicle Identification Number, is the unique identification number of each car. It consists of 17 digits and letters and contains information about the vehicle's manufacturer, year, model, body type, engine and other equipment.

[0039] IMSI, International Mobile Subscriber Identity, is an identification code used to distinguish different users in a cellular network and is unique in all cellular networks.

[0040] IMEI, International Mobile Equipment Identity, is used to identify each independent mobile phone and other mobile communication devices in the mobile phone network. It is equivalent to the ID card of the mobile phone.

[0041] The SRS (Sounding Reference Signal) signal is a signal used in wireless communication systems (such as LTE and 5G NR) for uplink channel estimation.

[0042] DMRS (DeModulation Reference Signal) is used in uplink transmission to help the receiving end (such as a base station) demodulate data. It is synchronized with data transmission to ensure that the sent data can be correctly demodulated at the receiving end.

[0043] Sentry mode is used for safety monitoring when the vehicle is parked; when the vehicle is parked, the sentry mode can be automatically activated to monitor the situation inside and outside the vehicle in real time

[0044] Clairvoyance mode is a function that remotely calls the cameras inside and outside the car through a mobile phone APP, allowing users to grasp the situation inside and outside the car in real time, whether the vehicle is parked or not.

[0045] C-V2N, Cellular Vehicle-to-Network, cellular vehicle networking, the communication between vehicle and network / cloud (platform) (V2N, Vehicle-to-Network), is mainly used to meet the needs of driving safety, traffic efficiency, information services and autonomous driving.

[0046] QoS, Quality of Service, refers to a network's ability to use various basic technologies to provide better service capabilities for designated network communications. It is a network security mechanism and a technology used to solve problems such as network delays and congestion.

[0047] DPI, DEEp Packet Inspection, is an advanced packet filtering method that works in the application layer of the Open Systems Interconnection (OSI) reference model.

[0048] The implementation details of the technical solution of the embodiment of the present application are described in detail below:

[0049] Figure 1 is a schematic diagram of an application scenario according to an embodiment of the present application, such as Figure 1 As shown, the application scenario includes a base station 101, a core network 102, a cloud platform 103, and a vehicle 104. Among them, the base station 101 can be connected to the vehicle 104 and the core network 102 through the network, the core network 102 can be connected to the cloud platform 103 through the network, and the cloud platform 103 can be connected to the vehicle 104 through the network. Among them, the network of communication connection can be a wide area network or a local area network, or a combination of the two. Among them, the core network 102 can be a core network sinking MEC, which can be a server, computer, or other equipment with data processing capabilities. Figure 1 Only a schematic diagram showing the core network 102 as a server is shown.

[0050] After approaching or entering the detectable area corresponding to the base station 101, the vehicle 104 can access the base station 101 and establish a communication connection with the base station 101, and can report a channel measurement signal to the base station 101. The base station 101 can measure the channel measurement signal reported by the accessed vehicle 101 to obtain the signal measurement result and report it to the core network 102. The core network 102 can obtain the signal measurement result reported by the base station 101, and can determine the current position of the vehicle 104 based on the signal measurement result and the position of the base station 101, and if it is determined that the current position is in the target area, the video monitoring function of the vehicle 104 can be controlled to be turned off through the cloud platform 103. The cloud platform 103 can receive the target instruction sent by the core network 102, and can control the video monitoring function of the vehicle 104 to be turned off in response to the target instruction. The target instruction is sent when the core network 102 determines that the current position of the vehicle 104 is in the target area based on the signal measurement result reported by the base station 101 and the position of the base station 101. Therefore, based on the basic network architecture in the cellular vehicle network (such as base stations, core networks, etc.), the coverage capabilities, location positioning capabilities and information security capabilities of base stations and core networks, without the need to introduce third-party intermediaries, vehicles entering specific areas can be accurately identified. Through regional management strategies, when the vehicle is in the target area, illegal video recording and uploading in sensitive areas can be prohibited from the source, thereby ensuring data security and privacy, not affecting the normal passage of vehicles, and reducing the cost of managing vehicle video surveillance functions.

[0051] Exemplarily, the target area includes a first area and a second area, the second area is located inside the first area or adjacent to the first area, if the current location is located in the first area, the core network 102 can send a target instruction to the cloud platform 103, and the cloud platform 103 can send a first instruction to the vehicle 104, wherein the first instruction can be used to instruct the vehicle 104 to output a prompt message, wherein the prompt message can be used to prompt the user to turn off the video surveillance function of the vehicle 104. If the current location is located in the second area, the core network 102 can send a target instruction to the cloud platform 103, and the cloud platform 103 can send a third instruction to the vehicle 104, wherein the third instruction can be used to instruct the vehicle 104 to turn off the video surveillance function and disable the on control of the video surveillance function of the vehicle 104.

[0052] The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0053] See also Figure 2 , Figure 2 FIG. 1 is a flow chart of a method for controlling vehicle video monitoring provided by an embodiment of the present application. In a specific embodiment, the method for controlling vehicle video monitoring can be applied to Figure 7 The vehicle video monitoring control device 200 and the computer device 100 ( Fig.10 ). The following will take a computer device as an example to illustrate the specific process of this embodiment. Of course, it can be understood that the computer device used in this embodiment may include a desktop computer, a laptop computer, a server, a local MEC of the core network, and other devices, which are not limited here. Figure 2 The process shown is described in detail, and the vehicle video monitoring control method may specifically include the following steps:

[0054] Step S110: Acquire a signal measurement result reported by a target base station, wherein the signal measurement result is obtained after the target base station measures a channel measurement signal reported by a connected vehicle.

[0055] In some embodiments, the computer device is communicatively connected to the target base station, and the target base station can measure the channel measurement signal reported by the connected vehicle, obtain the signal measurement result, and report the signal measurement result to the computer device; accordingly, the computer device can obtain the signal measurement result reported by the target base station.

[0056] The number of target base stations may be one or more; the target base station may be a base station at a preset position, which may be pre-set in the computer device, may be set by the user, or may be determined by the computer device through third-party experimental data, which is not limited here. Exemplarily, the target base station may include the base station closest to a scientific research institute, the base station closest to a government agency, the base station closest to an airport, etc.

[0057] Optionally, the target base station can be connected to one or more terminal users in the coverage area of ​​the target base station, and the terminal users can include vehicle users and non-vehicle users (such as mobile phones, Internet of Things terminals, etc.). The terminal user can report a channel measurement signal to the target base station; accordingly, the target base station can measure the channel measurement signal reported by the terminal user, obtain a signal measurement result, and report the signal measurement result to the computer device; wherein the signal measurement result may include the identity information of the terminal user. Optionally, the computer device can perform video surveillance function control on vehicle users, and can also perform video surveillance function control on non-vehicle users; illustratively, the computer device can identify the type of terminal users based on the identity information of the terminal users included in the signal measurement result, filter out vehicle users, and perform subsequent video surveillance function control on vehicle users, and do not process non-vehicle users.

[0058] Exemplarily, the computer device may include a local MEC that sinks the core network. After the vehicle approaches or enters the area covered by the target base station, the TBOX of the vehicle can access or switch to the target base station. Accordingly, after the vehicle accesses the target base station, it can report the uplink channel measurement signal, such as SRS signal, DMRS signal, etc. to the target base station. Optionally, when the vehicle accesses or switches to the target base station, it can carry identity information such as IMSI, IMSI, VIN, etc., to be used as an identifier for vehicle identification later; accordingly, the signal measurement signal reported by the vehicle to the target base station can carry the vehicle's IMSI, IMEI, VIN, etc. identity information. Accordingly, the target base station can measure the arrival time, signal strength, etc. of the channel measurement signal reported by the vehicle to obtain a signal measurement result, and can report the signal measurement result to the computer device. Among them, the computer device can receive the signal measurement result corresponding to the terminal user accessed by the target base station, and can determine the vehicle user accessing the target base station according to the identity information carried in the signal measurement result, and perform the subsequent steps of controlling the video surveillance function of the vehicle according to the signal measurement result corresponding to the vehicle user.

[0059] Step S120: Determine the current position of the vehicle based on the signal measurement result and the position of the target base station.

[0060] In some embodiments, after the computer device obtains the signal measurement result of the vehicle reported by the target base station, it can determine the current position of the vehicle based on the signal measurement result and the position of the target base station. Among them, the computer device can be pre-set with a positioning algorithm, such as the uplink arrival time observation difference positioning method (UL-TOA), the downlink arrival time observation difference positioning method (DL-TOA), the uplink received signal strength positioning method (UL-RssI) and the signal arrival angle positioning method (AoA), etc., which are not limited here. Accordingly, the computer device can input the signal measurement result of the vehicle reported by the target base station into the positioning algorithm, and can determine the current position of the vehicle in combination with the geographical location information of the target base station, so that the position of the vehicle user accessing the target base station can be accurately identified based on the infrastructure of the cellular vehicle network (such as the target base station, the core network, etc. according to the 3GPP R16 protocol), thereby improving the accuracy of vehicle positioning and reducing the cost of vehicle positioning.

[0061] Step S130: If the current position is in the target area, the video surveillance function of the vehicle is controlled to be in a closed state through the cloud platform.

[0062] In some implementations, a set area may be pre-set in the computer device, and the computer device may also determine the set area according to the location of the target base station. The target base station may be located in the set area; the set area may be a coverage area corresponding to the target base station, or may be a partial area of ​​the coverage area corresponding to the target base station. The set area may include one or more target base stations.

[0063] In some embodiments, the computer device may determine the target area based on the base station data of the set area and the boundary information of the selected area in the set area. The base station data of the set area may include the location of the target base station in the set area, the coverage capability of the target base station, the signal measurement results corresponding to the terminal user detected by the target base station, etc., which are not limited here. Optionally, the computer device may be pre-set with a set area, and the selected area may be pre-planned in the set area; wherein the number of selected areas in the set area may be one or more. The selected area in the set area may include scientific research institutes, government agencies, airports and other areas. Optionally, in the process of determining the target area based on the base station data of the set area and the boundary information of the selected area in the set area, the computer device may determine the selected area in the set area as the target area; or the computer device may determine the target area based on the location of the target base station in the set area and the boundary information of the selected area in the set area, such as determining the selected area in the set area as the target area, and determining the area that can be covered by the target base station closest to the boundary of the selected area in the set area as the target area. Based on this, the present embodiment may determine the target area based on the base station data of the set area and the boundary information of the selected area in the set area, so as to realize the construction of a video surveillance function prohibited area at a low cost based on the basic network architecture in the cellular vehicle network.

[0064] As an implementable manner, a base station planning rule and a set area may be pre-set in a computer device, wherein a selected area is pre-set in the set area. The computer device may determine the target area based on the base station planning rule and the boundary information of the selected area in the set area. Exemplarily, the base station planning rule may include an area obtained by extending the boundary of the selected area outward by a first distance as the target area, or may include an area obtained by expanding the boundary of the selected area outward by a first distance as the target area.

[0065] As an implementable manner, the target area may include a first area and a second area, wherein the second area may be located inside the first area or adjacent to the first area. Exemplarily, the second area is located inside the first area, and the base station planning rules may include an area obtained by extending the boundary of the selected area outward by a first distance as the first area, and an area obtained by extending the boundary of the selected area outward by a second distance as the second area, wherein the first distance is greater than the second distance. Thus, the computer device can accurately construct the first area and the second area based on the pre-set base station planning rules and the boundary information of the selected area in the set area, and construct a geographic fence at a low cost, thereby improving the accuracy of the video surveillance function of the regional differential control vehicle and reducing the cost of managing the video surveillance function of the vehicle; and adopting a differentiated regional management strategy to effectively prohibit the video surveillance function of vehicles in sensitive areas, ensuring that the normal passage of vehicles is not affected.

[0066] Optionally, the computer device may be pre-set with a target area. Optionally, the computer device may also be pre-set with a base station planning rule; accordingly, the computer device may determine the target area based on the base station planning rule and the location of the target base station. Exemplarily, the base station planning rule may include determining the area of ​​a circle with the location of the target base station as the center and the target length as the radius as the target area, thereby accurately defining the target area based on the basic communication architecture provided by the cellular vehicle network, reducing the cost of building a geographic fence corresponding to the video surveillance function control.

[0067] In some embodiments, after determining the current position of the vehicle, the computer device may determine the positional relationship between the current position and the target area, and determine whether to control the video surveillance function of the vehicle to be in an off state based on the positional relationship. For example, if it is determined that the current position of the vehicle is in the target area based on the positional relationship, the video surveillance function of the vehicle may be controlled to be in an off state through the cloud platform, so that when the vehicle enters a sensitive area, the video surveillance function of the vehicle entering the sensitive area is actively turned off, and the safety and management accuracy of the use of vehicle video surveillance are improved through the regional differentiated video surveillance function management strategy.

[0068] The video surveillance function of the vehicle may include a sentinel mode and a clairvoyant mode. The cloud platform may be a cloud platform registered with the vehicle, and the cloud platform may serve as a subscriber of the vehicle.

[0069] In some embodiments, after the computer device controls the video surveillance function of the vehicle to be in an off state through the cloud platform, the target base station can report the signal detection results of the vehicle to the computer device in real time; accordingly, when the computer device determines that the current position of the vehicle is outside the target area based on the real-time signal detection results of the vehicle and the position of the target base station, that is, when the vehicle is away from the prohibited area, the video surveillance function of the vehicle can be controlled to be restored to the on state through the cloud platform to ensure that the vehicle can continue to use the video surveillance function in a safe area, thereby improving the user experience.

[0070] A vehicle video surveillance control method provided in an embodiment of the present application obtains a signal measurement result reported by a target base station after measuring a channel measurement signal reported by a connected vehicle, and determines the current position of the vehicle based on the signal measurement result and the position of the target base station, thereby locating the position of the vehicle based on the cellular vehicle network; in addition, if the current position is in a target area, the video surveillance function of the vehicle is controlled to be in an off state through a cloud platform, so that accurate positioning and identification of vehicles entering the target area can be achieved based on cellular vehicle network technology, and based on the result of identifying that the vehicle is located in the target area, the video surveillance function of the vehicle is controlled to be in an off state through the cloud platform corresponding to the vehicle, and while ensuring the accuracy of the vehicle video surveillance function control, a geographic fence is constructed at a low cost, and the video surveillance function of vehicles entering the prohibited area is actively turned off, thereby reducing the cost of managing the vehicle's video surveillance function.

[0071] See also Figure 3 , Figure 3 The flowchart of the vehicle video monitoring control method provided by an embodiment of the present application is shown in FIG. Figure 3 The process shown is described in detail, and the vehicle video monitoring control method may specifically include the following steps:

[0072] Step S210: Determine the current position of the vehicle.

[0073] In some embodiments, a computer device can obtain a signal measurement result of a vehicle reported by a target base station, and can determine the current location of the vehicle based on the signal measurement result and the location of the target base station, so as to continue to use the basic network architecture in the cellular vehicle network, based on the coverage capability, location positioning capability, and information security capability of the base station and core network, and accurately identify vehicles entering a specific area without introducing a third-party intermediary agency.

[0074] Optionally, a global navigation system may also be provided in the vehicle, and accordingly, the computer device may determine the current position of the vehicle based on the global navigation system.

[0075] Step S220: If the current position is in the first area, the vehicle is controlled by the cloud platform to output a prompt message, where the prompt message is used to prompt the user to turn off the video surveillance function of the vehicle.

[0076] In some embodiments, the target area determined by the computer device may include a first area and a second area; wherein the first area may be understood as an area warning of the vehicle's video surveillance function, and the second area may be understood as a prohibited area of ​​the vehicle's video surveillance function. After the computer device determines the current position of the vehicle, it may compare the first position relationship between the vehicle's current position and the first area, and the second position relationship between the vehicle's current position and the second area, and determine whether to control the vehicle to output prompt information through the cloud platform based on the first position relationship and the second position relationship. The prompt information may be used to prompt the user to turn off the vehicle's video surveillance function.

[0077] Exemplarily, if the computer device determines that the current position of the vehicle is in the first area, the cloud platform can be used to control the vehicle to output prompt information. If the computer device determines that the current position of the vehicle is in the first area, a first instruction can be sent to the cloud platform so that the cloud platform sends the first instruction to the vehicle; wherein the first instruction can be used to instruct the vehicle to output prompt information. Based on this, the first instruction sent to the cloud platform by the computer device when it determines that the current position is in the first area can be understood as an early warning instruction; wherein, when the cloud platform receives the early warning instruction, the cloud platform can directly send the early warning instruction to the vehicle, so that the vehicle outputs prompt information after receiving the early warning instruction, alerting the user that he is approaching a sensitive area, so as to remind the user to actively turn off the video surveillance function of the vehicle.

[0078] The content of the prompt information can be pre-set in the vehicle, can be set by the user, or can be obtained through third-party experimental data, which is not limited here. The vehicle can output prompt information in the following ways: voice prompt, indicator light prompt, interface display on the vehicle display screen, output prompt information on electronic devices associated with the vehicle, etc., which is not limited here. This allows customized prompt messages to be displayed on the vehicle computer, enhancing the driver's sense of responsibility and regulatory compliance.

[0079] Step S230: If the current position is located in a second area, the cloud platform is used to control the vehicle to turn off the video surveillance function, and the second area is located inside the first area or adjacent to the first area.

[0080] In some embodiments, the computer device may determine whether to control the vehicle to turn off the video surveillance function through the cloud platform based on the relationship between the current position of the vehicle and the second position of the second area. For example, if the computer device determines that the current position of the vehicle is in the second area, the video surveillance function of the vehicle may be controlled to turn off through the cloud platform.

[0081] Wherein, if the computer device determines that the current position of the vehicle is in the second area, a second instruction may be sent to the cloud platform so that the cloud platform controls the vehicle to turn off the video surveillance function when it determines that the video surveillance function of the vehicle is in the on state according to the second instruction. Wherein, the second instruction may be used to instruct the cloud platform to poll the working status of the video surveillance function of the vehicle. Exemplarily, when the cloud platform receives the second instruction, a polling instruction of the working status of the video surveillance function of the vehicle may be issued to the vehicle; accordingly, after receiving the polling instruction, the vehicle may respond to the cloud platform with the VIN of the vehicle and the working status of the current video surveillance function of the vehicle. Wherein, if the cloud platform determines that the video surveillance function of the vehicle is in the on state, a third instruction may be generated and sent to the vehicle, wherein the third instruction may be understood as a prohibition instruction.

[0082] In some embodiments, after receiving the second instruction, the cloud platform may ignore the video surveillance function activation request currently initiated by the vehicle's application side or the application side of an associated electronic device until the vehicle leaves the second area, so as to manage the vehicle's video surveillance function by utilizing the existing cellular vehicle networking architecture, thereby eliminating the need for third-party intermediaries, reducing the cost of managing vehicle video surveillance functions, and improving the level of information security.

[0083] In some embodiments, the computer device can determine whether to close the upload channel of the vehicle's video surveillance data based on the relationship between the current position of the vehicle and the second position of the second area. Exemplarily, if the computer device determines that the current position of the vehicle is in the second area, the upload channel of the vehicle's video surveillance data can be closed; optionally, the vehicle can output a warning message after closing the upload channel of the video surveillance data, and the warning message can be used to prompt the vehicle to enter the video surveillance function prohibited area. Among them, the computer device can use QoS or DPI and other methods to identify the upload channel of the vehicle's video surveillance data and temporarily close it when it determines that the current position of the vehicle is in the second area, so that when the vehicle enters the video surveillance function prohibited area, the video surveillance data upload channel of the vehicle is closed, and a warning message is output to prohibit the vehicle from performing illegal video recording and uploading in sensitive areas from the source, thereby ensuring the security and privacy of information, and not affecting the normal passage of the vehicle, thereby improving the accuracy and practicality of the vehicle video surveillance function control.

[0084] Compared with the vehicle video monitoring control method provided in an embodiment of the present application, Figure 2 The control method for vehicle video surveillance shown in the figure, in this embodiment, the target area may include a first area and a second area, the second area is located inside the first area or adjacent to the first area, and in this embodiment, if the current position is located in the first area, the cloud platform is used to control the vehicle to output a prompt message, and the prompt message is used to prompt the user to turn off the video surveillance function of the vehicle; if the current position is located in the second area, the cloud platform is used to control the vehicle to turn off the video surveillance function, and then through differentiated regional management strategies, regional warning and regional prohibition of the vehicle's video surveillance function are realized, thereby ensuring the security and privacy of data in sensitive areas, and realizing low-cost management of the vehicle's video surveillance function without affecting the normal passage of the vehicle.

[0085] See also Figure 4 , Figure 4 FIG. 1 is a flow chart of a method for controlling vehicle video monitoring provided by an embodiment of the present application. In a specific embodiment, the method for controlling vehicle video monitoring can be applied to Figure 8 The vehicle video monitoring control device 300 and the computer device 100 ( Fig.10 ). The following will take a computer device as an example to illustrate the specific process of this embodiment. Of course, it can be understood that the computer device used in this embodiment may include desktop computers, laptops, servers, cloud platforms and other devices, which are not limited here. Figure 4 The process shown is described in detail, and the vehicle video monitoring control method may specifically include the following steps:

[0086] Step S310: Receive a target instruction sent by the core network.

[0087] In some implementations, the computer device is connected to the core network in communication; wherein the core network can receive a signal measurement result sent by the target base station after measuring the channel measurement signal reported by the accessed vehicle, and can determine whether the current position of the vehicle is located in the target area based on the signal measurement result and the location of the target access station, and if it is determined that the current position of the vehicle is located in the target area, a target instruction can be sent to the computer device. Accordingly, the computer device can receive the target instruction sent by the core network.

[0088] The computer device can be understood as the cloud platform where the vehicle is registered, or as the subscriber of the vehicle. Optionally, the core network can encapsulate the target instruction into an MQTT message and send it to the cloud platform where the vehicle is registered, so that the core network can send the target instruction to the cloud platform by deploying an MQTT agent to improve the efficiency of data transmission.

[0089] The target instruction sent by the core network may be a first instruction or a second instruction; the first instruction may be generated by the core network when it is determined that the current position of the vehicle is located in the first area, and the second instruction may be generated by the core network when it is determined that the current position of the vehicle is located in the second area. The current position of the vehicle in the first area can be understood as the vehicle is about to enter a sensitive area, and the current position of the vehicle in the second area can be understood as the vehicle actually entering a sensitive area, thereby using the basic network architecture (such as base stations, core networks, etc.) in the cellular vehicle network, without the participation of a third-party intermediary agency, to achieve low-cost establishment of two virtual geographical areas, accurate positioning and identification of the vehicle, and realize the dual management strategy of the vehicle's video surveillance function.

[0090] Step S320: If the target instruction is a first instruction, the vehicle is controlled to output a prompt message, wherein the prompt message is used to prompt the user to turn off the video surveillance function of the vehicle, and the first instruction is sent when the core network determines that the current position of the vehicle is located in a first area.

[0091] In some embodiments, a database may be pre-set in the computer device, wherein the database may include multiple identity identifiers and multiple vehicle information, and the multiple identity identifiers may correspond to the multiple vehicle information one by one. The database may be understood as a database in which identity identifiers are mapped to vehicle information; illustratively, before a vehicle leaves the factory, the identity identifier (such as IMSI, VIN, etc.) and the vehicle information such as video surveillance capabilities (such as sentry mode capabilities, clairvoyance mode capabilities, etc.) may be established in a database using a key-value pair data structure.

[0092] Among them, the target instruction generated by the core network can carry the identity of the vehicle; accordingly, the computer device can obtain the vehicle information of the vehicle based on the identity carried in the target instruction and the database, so as to control the video surveillance function of the vehicle with video surveillance function. Exemplarily, the target instruction carries the IMSI of the vehicle. Accordingly, after the cloud platform obtains the target instruction, it can extract the IMSI carried in the target instruction, and search and match the vehicle corresponding to the IMSI in the database according to the IMSI, and obtain the vehicle information such as the video surveillance function capability and VIN code of the vehicle, and then execute the subsequent decision whether to disable the video surveillance function of the vehicle and the steps of disabling the video surveillance function of the vehicle.

[0093] In some embodiments, when the computer device determines that the vehicle supports the video surveillance function, the computer device may control the video surveillance function of the vehicle to be turned off in response to the target instruction. If the computer device determines that the vehicle does not support the video surveillance function, no processing may be performed.

[0094] In some embodiments, if the target instruction is a first instruction, the computer device may send the first instruction to the vehicle, so that the vehicle outputs a prompt message in response to the first instruction; wherein the prompt message can be used to prompt the user to turn off the video surveillance function of the vehicle, thereby notifying the user in advance to actively turn off the video surveillance function before the vehicle enters a sensitive area.

[0095] Step S330: If the target instruction is a second instruction, the vehicle is controlled to turn off the video surveillance function, and the second instruction is sent when the core network determines that the current position of the vehicle is in a second area, and the second area is located inside the first area or adjacent to the first area.

[0096] In some embodiments, if the target instruction is the second instruction, the computer device may poll the working status of the vehicle's video surveillance function based on the second instruction, and send a third instruction to the vehicle when the working status indicates that the video surveillance function is in an on state; wherein the third instruction may be used to instruct the vehicle to turn off the video surveillance function and disable the on control of the video surveillance function, thereby directly disabling the vehicle's video surveillance function when the vehicle enters a sensitive area.

[0097] In some embodiments, a video surveillance function activation control may be pre-set in the vehicle, and the activation control may be a physical button or a virtual button displayed on the interface. In the process of disabling the activation control of the video surveillance function, the physical button of the video surveillance function may be controlled to rebound after the user clicks it, or when the user clicks the activation control, a regulatory warning message may be output on the vehicle screen to improve the user experience.

[0098] For example, see Figure 5 , which shows a structural block diagram of a control system for vehicle video surveillance provided by an embodiment of the present application. Among them, the control system for vehicle video surveillance may include a vehicle-mounted TBOX-network access module, a base station-signal measurement module, a core network-sunk MEC-vehicle identification module, a core network-sunk MEC-precise positioning module, a core network-sunk MEC-instruction generation module, a core network-sunk MEC-MQTT proxy module, a TSP-vehicle information retrieval module, a TSP-warning and polling disable decision module, and a vehicle-warning and polling disable response module.

[0099] The vehicle-mounted TBOX-network access module can be used to access or switch to the target base station after the vehicle approaches or enters the area covered by the target base station, and report the channel measurement signal to the target base station. The channel measurement signal can carry the vehicle's IMSI, IMEI and other identity information, and the channel measurement signal can be an SRS signal.

[0100] Among them, the base station-signal measurement module can be used to process the channel measurement signal reported by the vehicle and report the signal measurement result to the local core network MEC. For example, the target base station can measure the arrival time, signal strength, etc. of the channel measurement signal reported by the vehicle, and report the signal measurement result to the local MEC of the core network.

[0101] Among them, the MEC-vehicle identification module sunk to the core network can be used to identify the type of terminal users accessing, screen out vehicle users, and control the video surveillance functions of subsequent vehicles (such as sentry mode); and non-vehicle users (such as mobile phones, IoT terminals, etc.) can be left unprocessed.

[0102] Among them, the MEC-precise positioning module sunk to the core network can be used to determine two virtual geographical areas, namely the first area (also known as the warning area) and the second area (also known as the prohibited area), based on preset base station planning rules and the location of the target base station; and for vehicle users, it can determine the current location of the vehicle based on the signal measurement results of the vehicle reported by the target base station, and determine whether the current location of the vehicle is within the two virtual geographical areas.

[0103] Among them, the MEC-instruction generation module sunk to the core network can be used to create a first instruction (which can be understood as an early warning instruction) based on MEC for vehicles located in the first area. Among them, the MEC-MQTT agent module sunk to the core network can be used to send the first instruction to the cloud platform where the vehicle is registered through the built-in MQTT agent. Among them, the MEC-instruction generation module sunk to the core network can be used to create a second instruction (which can be understood as a polling instruction in sentinel mode) based on MEC for vehicles located in the second area, and can identify the upload channel of the vehicle's video surveillance data based on MEC and temporarily close it. Among them, the MEC-MQTT agent module sunk to the core network can be used to send the second instruction to the cloud platform where the vehicle is registered through the deployed MQTT agent; wherein the second instruction can carry preset warning information.

[0104] Among them, when the vehicle leaves the second area, the MEC-instruction generation module sunk to the core network can be used to open the vehicle's video surveillance data upload channel, and can create a recovery instruction for the sentry mode function and send it to the cloud platform, so that the cloud platform can send the sentry mode function recovery instruction to the vehicle, so that the vehicle can automatically restore the sentry mode function after leaving the prohibited area.

[0105] The TSP-vehicle information retrieval module may be pre-set with a database, wherein the database may be established by using a key-value pair to represent a mapping relationship between a vehicle identity and vehicle information. The TSP-vehicle information retrieval module may be used to extract the identity carried in the target instruction, retrieve the database according to the identity to obtain the corresponding vehicle information, and decide whether to execute the sentry mode control of the vehicle according to the sentry capability in the vehicle information.

[0106] Among them, the TSP-warning and polling disabling decision module can be used to send the warning instruction to the vehicle when it is determined that the vehicle has the sentry mode, so that the vehicle can respond to the warning instruction and output a prompt message to remind the user to turn off the sentry mode function of the vehicle in time; when the TSP receives the polling instruction, it can forward the polling instruction to the vehicle, wait for the response message from the vehicle, and decide whether to send the sentry mode disabling instruction to the vehicle according to the response message. Among them, the TSP-warning and polling disabling decision module can be used to send the sentry mode disabling instruction to the vehicle when it is determined that the sentry mode of the vehicle is in the on state according to the response message.

[0107] Among them, the vehicle computer-early warning and polling disable response module can be used to respond to the early warning command issued by the cloud platform and output prompt information to remind the user to actively turn off the sentry mode function; it can also be used to respond to the VIN and the current vehicle's sentry mode switch status to the cloud platform when a polling command is received, and disable the sentry mode on button after receiving the prohibition command sent by the cloud platform, and warn of relevant regulations when the user clicks the button.

[0108] Among them, in this embodiment, the core network MEC can identify the vehicle user accessing the target base station, calculate the position of the vehicle, and determine whether the vehicle has entered the first area; when it is determined that the vehicle has entered the first area, the MEC can use the deployed MQTT agent to create an early warning instruction for the vehicle to notify the TSP subscriber. The TSP can query the database to match the vehicle information and issue an early warning instruction to the matched vehicle with sentinel mode to warn the user that he is approaching a sensitive area and remind the user to actively turn off the vehicle's sentinel mode function.

[0109] At the same time, in this embodiment, the core network MEC can identify the vehicle user accessing the target base station, calculate the position of the vehicle and determine whether the vehicle has entered the second area; when it is determined that the vehicle has entered the second area, the core network MEC can close the video surveillance data upload channel of the vehicle, and use the MQTT agent to create a polling instruction for the state of the sentry mode of the vehicle, and send it to the TSP, and the TSP queries the database to match the vehicle information; if the vehicle supports the sentry mode function, the vehicle can be polled for the switch state of the sentry mode of the current vehicle; wherein, after the vehicle receives the polling instruction, it can immediately upload the vehicle identification number VIN and the switch state of the sentry mode to the TSP. wherein, if the vehicle currently has the sentry mode function turned off, the TSP can perform no further processing, otherwise the TSP can issue a prohibition instruction to turn off the sentry mode to the vehicle. wherein, after the vehicle receives the prohibition instruction, the switch button of the sentry mode can be directly disabled on the vehicle computer, and when the user clicks the switch button, the vehicle computer can warn of relevant regulations. wherein, the TSP can also monitor the sentry mode state of the vehicle in real time by periodic polling. In addition, when the Sentry Mode function is disabled, the TSP can also send a prohibition command to the APP bound to the vehicle to disable the function button of the Sentry Mode on the APP, thereby ensuring that the driver is automatically reminded to turn off the Sentry Mode when the vehicle approaches a sensitive area, and automatically disables the Sentry Mode when the vehicle enters a sensitive area, thereby reducing the cost of managing the vehicle's video surveillance function and improving the effectiveness of managing the vehicle's video surveillance function.

[0110] Among them, it can be understood that the system in this embodiment relies on the wide coverage, precise positioning and end-to-end information security functions of base stations and core networks, which can effectively disable the vehicle's sentry mode and shut down the upload of video data, fundamentally preventing illegal shooting and data leakage. At the same time, it follows the existing basic network architecture in the cellular vehicle network. Without the participation of a third-party intermediary agency, it can accurately identify vehicles in a preset area and implement a dual management strategy for the vehicle's sentry mode: first, when the vehicle is about to enter a sensitive area, it sends an early warning message to remind the driver to turn off the sentry mode; second, after the vehicle actually enters a sensitive area, it automatically disables the sentry mode function to ensure privacy protection and security compliance. Without interfering with the normal passage of the vehicle, the regional disabling and early warning of the vehicle's sentry mode are completed, thereby improving the user experience and enhancing the security of the sentry mode area management.

[0111] A method for controlling vehicle video surveillance provided in an embodiment of the present application receives a target instruction sent by a core network. If the target instruction is a first instruction, the vehicle is controlled to output a prompt message, where the prompt message is used to prompt a user to turn off the video surveillance function of the vehicle. The first instruction is sent when the core network determines that the current position of the vehicle is located in a first area. If the target instruction is a second instruction, the vehicle is controlled to turn off the video surveillance function, where the second instruction is sent when the core network determines that the current position of the vehicle is located in a second area, where the second area is located inside the first area or adjacent to the first area, thereby receiving the target instruction sent by the core network based on the positional relationship between the identified vehicle position and the first area and the second area, performing differentiated regional management of the vehicle's video surveillance function, realizing regional warning and regional prohibition of the vehicle's video surveillance function, and reducing the cost of managing the vehicle's video surveillance function without affecting the normal passage of the vehicle.

[0112] See also Figure 6 , Figure 6 FIG. 1 is a flow chart of a method for controlling vehicle video monitoring provided by an embodiment of the present application. In a specific embodiment, the method for controlling vehicle video monitoring can be applied to Fig. 9 The vehicle video monitoring control device 400 and the computer device 100 ( Fig.10 ). The following will take a computer device as an example to illustrate the specific process of this embodiment. Of course, it can be understood that the computer device used in this embodiment may include a desktop computer, a laptop computer, a vehicle-mounted terminal, a vehicle-mounted large screen, etc., which are not limited here. Figure 6 The process shown is described in detail, and the vehicle video monitoring control method may specifically include the following steps:

[0113] Step S410: If a first instruction sent by the cloud platform is received, a prompt message is output in response to the first instruction, and the prompt message is used to prompt the user to turn off the video monitoring function of the vehicle. The first instruction is sent to the cloud platform by the core network when it is determined that the current position of the vehicle is in the first area.

[0114] In some embodiments, the computer device may be a vehicle, wherein the vehicle may be respectively connected to the target base station and the cloud platform. The vehicle may access or switch to the target base station after approaching or entering the area covered by the target base station, and report the channel measurement signal to the target base station. The target base station may measure the arrival time, signal strength, etc. of the channel measurement signal reported by the vehicle, and report the signal measurement result to the core network.

[0115] Among them, the core network can determine two virtual geographical areas, a first area (also known as a warning area) and a second area (also known as a prohibited area) based on preset base station planning rules and the location of the target base station, wherein the second area is located inside the first area or adjacent to the first area; and can determine the current position of the vehicle based on the signal measurement results of the vehicle reported by the target base station, and judge whether the current position of the vehicle is within the two virtual geographical areas.

[0116] Wherein, when the core network detects that the current position of the vehicle is within the first area, it can create a first instruction (which can be understood as an early warning instruction) and send it to the cloud platform. Wherein, the cloud platform can extract the identity carried in the first instruction, retrieve the database according to the identity to obtain the corresponding vehicle information, and decide whether it is necessary to execute the video surveillance function control of the vehicle according to the video surveillance function in the vehicle information. Wherein, if the vehicle has a video surveillance function, the cloud platform can send the first instruction to the vehicle. Accordingly, the vehicle can receive the first instruction sent by the cloud platform, and output a prompt message in response to the first instruction. Wherein, the prompt message can be used to prompt the user to turn off the video surveillance function of the vehicle.

[0117] Step S420: If a third instruction sent by the cloud platform is received, the video surveillance function is turned off in response to the third instruction. The third instruction is sent by the cloud platform based on the second instruction sent by the core network, and it is determined that the working status of the video surveillance function of the vehicle is in the on state. The second instruction is sent to the cloud platform when the core network determines that the current position of the vehicle is in a second area, and the second area is located inside the first area or adjacent to the first area.

[0118] In some embodiments, if the core network detects that the current position of the vehicle is within the second area, a second instruction (which can be understood as a polling instruction for the video surveillance function) can be created and sent to the cloud platform, and the upload channel of the video surveillance data of the vehicle can be identified and temporarily closed. The cloud platform can query the database to match the vehicle information of the vehicle based on the identity of the vehicle carried in the second instruction; if it is determined that the vehicle has a video surveillance function according to the vehicle information, the vehicle can be polled for the switch state of the current vehicle's video surveillance function. After receiving the second instruction, the vehicle can immediately upload the switch state of the vehicle's video surveillance function to the cloud platform. If the sentinel mode function of the vehicle is currently turned off, the cloud platform can perform no further processing, otherwise the cloud platform can send a third instruction to turn off the video surveillance function to the vehicle. After receiving the third instruction, the vehicle can directly disable the switch button of the sentinel mode on the vehicle computer, and can warn the vehicle computer of relevant regulations when the user clicks the switch button. The cloud platform can also monitor the video surveillance function of the vehicle in real time by periodic polling. In addition, during the disabling period of the video surveillance function, the cloud platform can also send a prohibition command to the APP bound to the vehicle to disable the function button of the video surveillance function on the APP, thereby ensuring that the driver is automatically reminded to turn off the sentry mode when the vehicle approaches a sensitive area, and automatically disables the sentry mode when the vehicle enters a sensitive area, thereby reducing the cost of managing the vehicle's video surveillance function and improving the effectiveness of managing the vehicle's video surveillance function.

[0119] A vehicle video surveillance control method provided in an embodiment of the present application comprises: if a first instruction sent by a cloud platform is received, a prompt message is output in response to the first instruction, and the prompt message is used to prompt a user to turn off the video surveillance function of the vehicle. The first instruction is sent to the cloud platform by the core network when it is determined that the current position of the vehicle is located in the first area; if a third instruction sent by the cloud platform is received, the video surveillance function is turned off in response to the third instruction. The third instruction is sent by the cloud platform based on the second instruction sent by the core network, and it is determined that the working state of the video surveillance function of the vehicle is in the on state. The second instruction is sent to the cloud platform when the core network determines that the current position of the vehicle is located in the second area, and the second area is located inside the first area or adjacent to the first area, so that the vehicle performs differentiated regional management of the video surveillance function in response to the instruction sent by the cloud platform, realizes regional warning and regional prohibition of the video surveillance function of the vehicle, and reduces the cost of managing the video surveillance function of the vehicle without affecting the normal passage of the vehicle.

[0120] See also Figure 7 , Figure 7 The module block diagram of the vehicle video monitoring control device provided by an embodiment of the present application is shown. The vehicle video monitoring control device 200 is applied to the above-mentioned computer device. Figure 7 The process shown in the figure is described in detail, the vehicle video monitoring control device 200 includes: a vehicle current position determination module 210, a vehicle video monitoring control first module and a vehicle video monitoring control second module 230, wherein:

[0121] The vehicle's current position determination module 210 is used to determine the vehicle's current position.

[0122] The first vehicle video surveillance control module 220 is used to control the vehicle to output a prompt message through the cloud platform if the current position is in the first area, and the prompt message is used to prompt the user to turn off the video surveillance function of the vehicle.

[0123] The second vehicle video surveillance control module 230 is used to control the vehicle to turn off the video surveillance function through the cloud platform if the current position is located in a second area, and the second area is located inside the first area or adjacent to the first area.

[0124] Furthermore, the first vehicle video surveillance control module 220 may include: a first vehicle video surveillance control subunit, wherein:

[0125] The vehicle video surveillance control first subunit is used to send a first instruction to the cloud platform if the current position is located in the first area, so that the cloud platform sends the first instruction to the vehicle, and the first instruction is used to instruct the vehicle to output the prompt information.

[0126] Further, the vehicle video surveillance control second module 230 may include: a vehicle video surveillance control second subunit, wherein:

[0127] The vehicle video surveillance control second subunit is used to send a second instruction to the cloud platform if the current position is located in the second area, so that the cloud platform controls the vehicle to turn off the video surveillance function when it is determined according to the second instruction that the video surveillance function of the vehicle is in the on state.

[0128] Furthermore, the vehicle video surveillance control device 200 may further include: a video surveillance data upload channel closing unit, wherein:

[0129] The video surveillance data upload channel closing unit is used to close the video surveillance data upload channel of the vehicle if the current position is located in the second area.

[0130] Furthermore, the vehicle video monitoring control device 200 may further include: an area determination unit, wherein:

[0131] The area determination unit is used to determine the first area and the second area based on base station data of a set area and boundary information of an area selected from the set area.

[0132] Furthermore, the vehicle's current position determination module 210 may include: a signal measurement result acquisition unit and a current position determination subunit, wherein:

[0133] The area determination unit is used to determine the first area and the second area based on base station data of a set area and boundary information of an area selected from the set area.

[0134] The current position determination subunit is used to determine the current position of the vehicle based on the signal measurement result and the position of the target base station.

[0135] See also Figure 8 , Figure 8 The module block diagram of the vehicle video monitoring control device provided by an embodiment of the present application is shown. The vehicle video monitoring control device 300 is applied to the above-mentioned computer device. Figure 8 The process shown in the figure is described in detail. The vehicle video monitoring control device 300 includes: a target instruction receiving module 310, a first response module 320 and a second response module 330, wherein:

[0136] The target instruction receiving module 310 is used to receive the target instruction sent by the core network.

[0137] The first response module 320 is used to control the vehicle to output a prompt message if the target instruction is a first instruction, and the prompt message is used to prompt the user to turn off the video monitoring function of the vehicle. The first instruction is sent when the core network determines that the current position of the vehicle is in the first area.

[0138] The second response module 330 is used to control the vehicle to turn off the video surveillance function if the target instruction is a second instruction, and the second instruction is sent when the core network determines that the current position of the vehicle is in a second area, and the second area is located inside the first area or adjacent to the first area.

[0139] Further, the first response module 320 may include: a first indication unit, wherein:

[0140] The first instruction unit is used to send the first instruction to the vehicle, so that the vehicle outputs the prompt information in response to the first instruction.

[0141] Further, the second response module 330 may include: a third instruction sending unit, wherein:

[0142] A third instruction sending unit is used to poll the working status of the video surveillance function of the vehicle based on the second instruction, and when the working status indicates that the video surveillance function is in an on state, send a third instruction to the vehicle, wherein the third instruction is used to instruct the vehicle to turn off the video surveillance function and disable the on control of the video surveillance function.

[0143] See also Fig. 9 , Fig. 9 The module block diagram of the vehicle video monitoring control device provided by an embodiment of the present application is shown. The vehicle video monitoring control device 400 is applied to the above-mentioned computer device. Fig. 9 The process shown in the figure is described in detail, the vehicle video monitoring control device 400 includes: a prompt information output module 410 and a video monitoring function closing module 420, wherein:

[0144] The prompt information output module 410 is used to output prompt information in response to a first instruction sent by the cloud platform if the first instruction is received. The prompt information is used to prompt the user to turn off the video monitoring function of the vehicle. The first instruction is sent to the cloud platform by the core network when it is determined that the current position of the vehicle is in the first area.

[0145] The video surveillance function shutoff module 420 is used to shut down the video surveillance function in response to a third instruction sent by the cloud platform if the third instruction is received. The third instruction is sent by the cloud platform based on the second instruction sent by the core network, and it is determined that the working status of the video surveillance function of the vehicle is in the on state. The second instruction is sent to the cloud platform when the core network determines that the current position of the vehicle is in a second area, and the second area is located inside the first area or adjacent to the first area.

[0146] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and modules can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here.

[0147] In several embodiments provided in the present application, the coupling between modules may be electrical, mechanical or other forms of coupling.

[0148] In addition, each functional module in each embodiment of the present application can be integrated into a processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The above integrated modules can be implemented in the form of hardware or software functional modules.

[0149] See also Fig.10 , which shows a structural block diagram of a computer device provided in an embodiment of the present application. The computer device 100 can be an electronic device with processing capabilities such as a core network and a cloud platform. Among them, the computer device 100 can be understood as a server. The computer device 100 in the present application may include one or more of the following components: a processor 110, a memory 120, and one or more application programs, wherein one or more application programs may be stored in the memory 120 and configured to be executed by one or more processors 110, and one or more programs are configured to execute the method described in the aforementioned method embodiment.

[0150] Among them, the processor 110 may include one or more processing cores. The processor 110 uses various interfaces and lines to connect various parts within the entire computer device 100, and executes various functions and processes data of the computer device 100 by running or executing instructions, programs, code sets or instruction sets stored in the memory 120, and calling data stored in the memory 120. Optionally, the processor 110 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 110 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed; and the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 110, but may be implemented separately through a communication chip.

[0151] The memory 120 may include a random access memory (RAM) or a read-only memory (ROM). The memory 120 may be used to store instructions, programs, codes, code sets or instruction sets. The memory 120 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the following various method embodiments, etc. The data storage area may also store data (such as a phone book, audio and video data, chat record data) created by the computer device 100 during use.

[0152] See also Fig.11 , which shows a structural block diagram of a computer-readable storage medium provided in an embodiment of the present application. The computer-readable medium 500 stores program codes, which can be called by a processor to execute the method described in the above method embodiment.

[0153] The computer readable storage medium 500 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read-only memory), an EPROM, a hard disk, or a ROM. Optionally, the computer readable storage medium 500 includes a non-transitory computer-readable storage medium. The computer readable storage medium 500 has storage space for program code 510 that performs any method steps in the above method. These program codes can be read from or written to one or more computer program products. The program code 510 can be compressed, for example, in an appropriate form.

[0154] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A vehicle video monitoring control method, characterized in that: The method comprises: Determine the current location of the vehicle; If the current position is in the first area, controlling the vehicle to output a prompt message through the cloud platform, wherein the prompt message is used to prompt the user to turn off the video monitoring function of the vehicle; If the current position is located in a second area, the cloud platform controls the vehicle to turn off the video surveillance function, and the second area is located inside the first area or adjacent to the first area.

2. The method according to claim 1, characterized in that If the current position is in the first area, the vehicle is controlled to output a prompt message through the cloud platform, and the prompt message is used to prompt the user to turn off the video monitoring function of the vehicle, including: If the current position is located in the first area, a first instruction is sent to the cloud platform so that the cloud platform sends the first instruction to the vehicle, and the first instruction is used to instruct the vehicle to output the prompt information.

3. The method according to claim 1, characterized in that If the current position is in the second area, controlling the vehicle to turn off the video surveillance function through the cloud platform includes: If the current position is located in the second area, a second instruction is sent to the cloud platform, so that the cloud platform controls the vehicle to turn off the video surveillance function when it is determined according to the second instruction that the video surveillance function of the vehicle is turned on.

4. The method according to claim 1, characterized in that: The method further comprises: If the current position is located in the second area, the uploading channel of the video surveillance data of the vehicle is closed.

5. The method according to any one of claims 1 to 4, characterized in that: The method further comprises: The first area and the second area are determined based on base station data of a set area and boundary information of an area selected from the set area.

6. The method according to any one of claims 1 to 4, characterized in that: Determining the current position of the vehicle includes: Acquire a signal measurement result reported by a target base station, where the signal measurement result is obtained after the target base station measures a channel measurement signal reported by a connected vehicle; Based on the signal measurement results and the location of the target base station, the current location of the vehicle is determined.

7. A vehicle video monitoring control method, characterized in that: The method comprises: Receive target instructions sent by the core network; If the target instruction is a first instruction, controlling the vehicle to output a prompt message, the prompt message being used to prompt a user to turn off a video surveillance function of the vehicle, the first instruction being sent when the core network determines that the current position of the vehicle is located in a first area; If the target instruction is a second instruction, the vehicle is controlled to turn off the video surveillance function, and the second instruction is sent when the core network determines that the current position of the vehicle is located in a second area, and the second area is located inside the first area or adjacent to the first area.

8. The method according to claim 7, characterized in that The controlling the vehicle to output prompt information includes: The first instruction is sent to the vehicle, so that the vehicle outputs the prompt information in response to the first instruction.

9. The method according to claim 7, characterized in that: The controlling the vehicle to turn off the video surveillance function includes: Based on the second instruction, the working status of the video surveillance function of the vehicle is polled, and when the working status indicates that the video surveillance function is in an on state, a third instruction is sent to the vehicle, wherein the third instruction is used to instruct the vehicle to turn off the video surveillance function and disable the on control of the video surveillance function.

10. A vehicle video monitoring control method, characterized in that: The method comprises: If a first instruction sent by the cloud platform is received, a prompt message is output in response to the first instruction, the prompt message is used to prompt the user to turn off the video monitoring function of the vehicle, and the first instruction is sent to the cloud platform by the core network when it is determined that the current position of the vehicle is located in the first area; If a third instruction sent by the cloud platform is received, the video surveillance function is turned off in response to the third instruction. The third instruction is sent by the cloud platform based on the second instruction sent by the core network when it is determined that the working status of the video surveillance function of the vehicle is in the on state. The second instruction is sent to the cloud platform when the core network determines that the current position of the vehicle is in a second area, and the second area is located inside the first area or adjacent to the first area.

11. A vehicle video monitoring control device, characterized in that: The device comprises: A vehicle current position determination module, used to determine the vehicle current position; A first vehicle video surveillance control module, configured to control the vehicle to output a prompt message through a cloud platform if the current position is in a first area, wherein the prompt message is used to prompt a user to turn off a video surveillance function of the vehicle; The second vehicle video surveillance control module is used to control the vehicle to turn off the video surveillance function through the cloud platform if the current position is located in a second area, and the second area is located inside the first area or adjacent to the first area.

12. A vehicle video monitoring control device, characterized in that: The device comprises: A target instruction receiving module, used for receiving a target instruction sent by a core network; a first response module, configured to control the vehicle to output a prompt message if the target instruction is a first instruction, wherein the prompt message is used to prompt a user to turn off a video surveillance function of the vehicle, and the first instruction is sent when the core network determines that the current position of the vehicle is located in a first area; The second response module is used to control the vehicle to turn off the video surveillance function if the target instruction is a second instruction, and the second instruction is sent when the core network determines that the current position of the vehicle is in a second area, and the second area is located inside the first area or adjacent to the first area.

13. A vehicle video monitoring control device, characterized in that: The device comprises: a prompt information output module, configured to output prompt information in response to a first instruction sent by the cloud platform if the first instruction is received, wherein the prompt information is used to prompt a user to turn off a video monitoring function of the vehicle, wherein the first instruction is sent to the cloud platform by the core network when it is determined that the current position of the vehicle is located in a first area; A video surveillance function shutoff module is used to shut down the video surveillance function in response to a third instruction sent by the cloud platform if the third instruction is received. The third instruction is sent by the cloud platform based on a second instruction sent by the core network, and the cloud platform determines that the working status of the video surveillance function of the vehicle is in the on state. The second instruction is sent to the cloud platform when the core network determines that the current position of the vehicle is in a second area, and the second area is located inside the first area or adjacent to the first area.

14. A computer device, characterized in that: include: one or more processors; Memory; One or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs are configured to execute the method according to any one of claims 1-9.

15. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores program codes, which can be called by a processor to execute the method according to any one of claims 1 to 9.

Images