Vehicle monitoring method and system, electronic device, storage medium, and vehicle

Abstract

Disclosed are a vehicle monitoring method and system, an electronic device, a storage medium, and a vehicle. The method comprises: in response to a vehicle monitoring start-up signal, acquiring vehicle environment data in real time; on the basis of a defined masking rule, processing the vehicle environment data, and generating vehicle environment video data; pushing the vehicle environment video data to a cloud; and, in response to a monitoring viewing request signal, acquiring the vehicle environment video data from the cloud. In this way, the present invention enables users to quickly and conveniently remotely monitor a vehicle environment in a plurality of scenarios and a plurality of time periods, achieves multi-view remote monitoring of the internal and external environments of a vehicle, and protects user privacy, thereby providing a better user experience.

Description

Vehicle monitoring method, system, electronic device, storage medium and vehicle Technical Field

[0001] The present invention relates to the field of vehicle technology, and in particular to a vehicle monitoring method, system, electronic equipment, storage medium and vehicle. Background Art

[0002] The current automotive industry is developing rapidly, and there are various vehicle internal and external monitoring systems, such as DVR (driving recorder), DMS (driver monitoring system), OMS (occupant monitoring system), AVM (around view system), CMS (electronic rearview mirror system), etc.

[0003] The common feature of the above monitoring systems is that users actively or passively monitor the vehicle. When the user parks the vehicle and is far away from the parking space, or is affected by time or weather and is unable to get close to the vehicle, but wants to check the vehicle environment, the system cannot meet the user's needs, causing inconvenience.

[0004] The patent document CN116152967A provides a method, device, system and electronic device for remote vehicle sharing. The method includes: obtaining vehicle sharing application information; if it is determined that the identity information of the vehicle demander is legal, sending a video recording prompt message to the vehicle sharing terminal; receiving the full audio and video information recorded by the vehicle sharing terminal based on the video recording prompt information, the full audio and video information includes the vehicle sharing party's review and confirmation information of the vehicle demander's face recognition result; if it is determined that the vehicle demander and the vehicle sharing party both confirm to participate in this remote vehicle sharing, then controlling the shared vehicle to record the biometric information entered by the vehicle demander in the designated unlocking area, so that the vehicle demander can use the shared vehicle according to the vehicle identification information, vehicle use permission information and vehicle use time period information. This application can realize remote sharing of vehicles, and the sharing of vehicles is more convenient, safer and more reliable.

[0005] Although there are solutions for remote vehicle sharing in the above technical solutions and existing technologies, they cannot provide real-time monitoring and monitoring in multiple scenarios and time periods.

[0006] Therefore, the present application provides a vehicle monitoring method to solve the above technical problems.

[0007] Summary of the Invention

[0008] The object of the present invention is to provide a vehicle monitoring method, system, electronic device, storage medium and vehicle, which can solve at least one of the technical problems mentioned above.

[0009] In order to solve the above technical problems, the present invention provides a vehicle monitoring method, comprising:

[0010] Responding to a vehicle monitoring start signal, acquiring vehicle environment data in real time;

[0011] Processing the vehicle environment data based on defined desensitization rules to generate vehicle environment video data;

[0012] Pushing the vehicle environment video data to the cloud;

[0013] In response to the viewing monitoring request signal, the vehicle environment video data is obtained from the cloud.

[0014] In some specific embodiments, before obtaining vehicle environment data in real time in response to a vehicle monitoring start signal, the method further includes:

[0015] In response to the remote service activation signal, determining whether a service activation condition is satisfied based on a vehicle status;

[0016] When the activation condition is met, determining whether the vehicle monitoring activation condition is met based on the preset encryption rules;

[0017] When the monitoring start condition is met, vehicle environment data is acquired in real time in response to a vehicle monitoring start signal.

[0018] In some specific embodiments, in response to a vehicle monitoring start signal, obtaining vehicle environment data in real time specifically includes:

[0019] In response to a monitoring viewing angle selected by a user, determining whether a monitoring device for monitoring the monitoring viewing angle is available;

[0020] When the monitoring device is available, obtaining the vehicle environment data in real time through the monitoring device;

[0021] When the monitoring device is unavailable, an abnormal state of the monitoring device is fed back.

[0022] In some specific embodiments, the vehicle environment data is processed based on the defined desensitization rules to generate vehicle environment video data, specifically including:

[0023] The desensitization rules include:

[0024] shielding facial information of pedestrians around the vehicle;

[0025] Based on the desensitization rule, the vehicle environment data is processed frame by frame to generate the vehicle environment video data.

[0026] In some specific embodiments, the defined desensitization rules include:

[0027] Obtaining the vehicle position;

[0028] Determining whether the vehicle position meets a corresponding sensitivity level;

[0029] Based on the corresponding sensitivity level, the acquired vehicle environment video data is processed accordingly.

[0030] In some specific embodiments, the sensitivity level corresponding to the current vehicle position is determined based on map data;

[0031] Based on the sensitivity level, the vehicle environment video data is processed accordingly;

[0032] The processing method is to determine each sensitive image area of ​​the vehicle environment video data based on the corresponding sensitivity level;

[0033] Acquiring pixel data of each sensitive image area;

[0034] Calculating the pixel data of each sensitive area respectively to determine the average value of the pixel data of each sensitive area;

[0035] The vehicle environment video data is processed according to an average value of the pixel point data.

[0036] Based on the same concept, the present invention also provides a vehicle monitoring system, comprising:

[0037] an environmental data acquisition module, configured to acquire vehicle environmental data in real time in response to a vehicle monitoring start signal;

[0038] a video data generating module configured to process the vehicle environment data based on defined desensitization rules to generate vehicle environment video data;

[0039] A video data uploading module configured to push the vehicle environment video data to the cloud;

[0040] The vehicle monitoring module is configured to obtain the vehicle environment video data from the cloud in response to a viewing monitoring request signal.

[0041] Based on the same concept, the present invention also provides an electronic device, comprising: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the vehicle monitoring method.

[0042] Based on the same concept, the present invention also provides a computer-readable storage medium storing a computer program executable by an electronic device. When the computer program runs on the electronic device, the electronic device executes the steps of the vehicle monitoring method.

[0043] Based on the same concept, the present invention also provides a vehicle, which is provided with the vehicle monitoring system as described above.

[0044] Compared with the prior art, the beneficial effects are:

[0045] The present invention discloses a vehicle monitoring method, system, electronic device, storage medium and vehicle, which enable users to conveniently and quickly remotely monitor the vehicle environment in multiple scenarios and time periods, realize multi-perspective remote monitoring of the vehicle's internal and external environments, protect user privacy, and bring a better user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] FIG1 is a flow chart of a vehicle monitoring method according to some specific embodiments of the present invention;

[0047] FIG2 is an architecture diagram of a vehicle monitoring method of the present invention in some applications;

[0048] FIG3 is an overall flow chart of a vehicle monitoring method of the present invention in some applications;

[0049] FIG4 is a flowchart showing a preview of a vehicle monitoring method of the present invention in some applications;

[0050] FIG5 is a desensitization flow chart of a vehicle monitoring method of the present invention in some applications;

[0051] FIG6 is a flow chart of a vehicle monitoring method according to the present invention in some applications;

[0052] FIG7 is a schematic structural diagram of a vehicle monitoring system according to some specific embodiments of the present invention;

[0053] FIG8 is a schematic structural diagram of an electronic device according to some specific embodiments of the present invention. DETAILED DESCRIPTION

[0054] To make the objectives, technical solutions, and advantages of this application more clear, this application will be further described in detail below with reference to the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of this application.

[0055] The terms used in the examples of this application are for the purpose of describing specific embodiments only and are not intended to limit this application. The singular forms "a," "the," and "the" used in the examples of this application and the appended claims are also intended to include plural forms, and unless the context clearly indicates otherwise, "a plurality" generally includes at least two.

[0056] It should be understood that the term "and / or" as used herein is merely a description of the relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " in this document generally indicates that the associated objects are in an "or" relationship.

[0057] It should be understood that although the terms first, second, third, etc. may be used to describe in the embodiments of the present application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first.

[0058] As used herein, the words "if" and "if" may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to the determination" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)," depending on the context.

[0059] It should also be noted that the terms "include," "comprises," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a product or device comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such product or device. In the absence of further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the product or device comprising the element.

[0060] It should be noted in particular that any symbols and / or numbers in the specification that are not marked in the accompanying drawings are not drawing marks.

[0061] Referring to FIG1 , a vehicle monitoring method includes:

[0062] S101, in response to a vehicle monitoring start signal, obtaining vehicle environment data in real time;

[0063] Specifically, in this step, vehicle environment data is acquired in real time according to the vehicle monitoring start signal;

[0064] It is understandable that when the user has monitoring needs, the vehicle terminal obtains vehicle environment data in real time according to the vehicle monitoring start signal, which can be obtained through the vehicle camera device.

[0065] In some of these applications, in order to meet the user's multi-angle and multi-view monitoring needs, in response to a vehicle monitoring start signal, real-time acquisition of vehicle environment data is performed. Specifically, in response to the user's selected monitoring perspective, the system determines whether the monitoring device used to monitor the monitoring perspective is available; when the monitoring device is available, the system obtains the vehicle environment data in real time through the monitoring device; when the monitoring device is unavailable, the system provides feedback on the abnormal status of the monitoring device.

[0066] It can be understood that in this application, the monitoring device can be a vehicle-mounted camera, which can rotate and adjust according to the monitoring perspective selected by the user, and then obtain vehicle environment data in real time according to the monitoring perspective selected by the user. When the user selects the monitoring perspective, it is necessary to determine whether the camera is available. When it is unavailable, the user needs to be reminded and the reason for the abnormal state needs to be fed back. At the same time, other vehicle-mounted cameras are called to obtain the corresponding perspective according to the user's needs.

[0067] In some embodiments, to ensure monitoring security, before obtaining vehicle environment data in real time in response to a vehicle monitoring start signal, the method further includes, in response to a remote service start signal, determining whether a service start condition is satisfied based on a vehicle state; when the start condition is satisfied, determining whether a vehicle monitoring start condition is satisfied based on a preset encryption rule; when the monitoring start condition is satisfied, obtaining vehicle environment data in real time in response to the vehicle monitoring start signal;

[0068] It can be understood that in this embodiment, when the user wants to monitor the vehicle, he needs to turn on the remote service through the user terminal, such as a mobile phone. When the on-board terminal receives the remote service start-up signal, it needs to judge the vehicle status and whether it meets the service start-up conditions, such as obtaining the vehicle power. When the vehicle is out of power, it does not meet the start-up conditions. After the remote service is turned on, it is necessary to judge the legitimacy of the user identity, which can be verified by a password or real-time updated token data. When the user identity authentication is passed, the vehicle monitoring start-up conditions are met. Finally, according to the vehicle monitoring start-up signal, the vehicle environmental data is obtained in real time.

[0069] Furthermore, in this embodiment, in order to meet the user's monitoring needs for multiple time periods, when the monitoring start condition is met, in response to the vehicle monitoring start signal, real-time acquisition of vehicle environment data is performed, specifically including determining whether a visibility condition is met based on the real-time acquired vehicle environment data; when the visibility condition is not met, controlling the vehicle's lighting equipment to illuminate so that the vehicle environment data meets the visibility condition;

[0070] It can be understood that in this embodiment, when the time period that the user needs to monitor is a period of insufficient light, such as at night, the visual conditions are determined based on the acquired vehicle environment data. The visual conditions can be determined based on the clarity of the vehicle environment data. When the light is dim and the clarity is insufficient, the lighting equipment of the vehicle at the corresponding viewing angle is controlled to turn on. If it still cannot be illuminated, other lighting equipment of the vehicle is gradually turned on until the visual conditions are met, and the vehicle environment data is continued to be acquired.

[0071] S102, processing the vehicle environment data based on a defined desensitization rule to generate vehicle environment video data;

[0072] Specifically, in this step, first, a desensitization rule is defined, and the vehicle environment data is processed according to the defined rule to generate desensitized vehicle environment video data;

[0073] It is understandable that in order to protect the privacy of users and other pedestrians near the vehicle, the vehicle environment data needs to be desensitized;

[0074] In some applications, the desensitization rule includes shielding facial information of pedestrians around the vehicle; based on the desensitization rule, the vehicle environment data is processed frame by frame to generate the vehicle environment video data;

[0075] It can be understood that in this application, the desensitization rule is to mask the faces of pedestrians contained in the acquired vehicle environment data. By processing the acquired vehicle environment data frame by frame, the desensitization processing of the vehicle environment data can be completed, thereby obtaining vehicle environment video data.

[0076] In other applications, the defined desensitization rules include obtaining a vehicle location; determining whether the vehicle location satisfies a corresponding sensitivity level; and performing corresponding processing on the obtained vehicle environment video data based on the corresponding sensitivity level;

[0077] It is understood that in this application, the vehicle's location determines whether it meets the corresponding sensitivity level. The sensitivity level can be customized by the user, who can mark it on the map. By obtaining the vehicle's location and matching it with the map mark, it can be determined whether the corresponding sensitivity level is met. Different sensitivity levels require different processing methods. For example, locations with high sensitivity levels require thorough desensitization of the acquired vehicle environment video data. Locations with low sensitivity levels do not require excessive desensitization. Users can also manually set the degree of desensitization corresponding to different sensitivity levels according to actual needs.

[0078] Furthermore, in this application, based on the map data, the sensitivity level corresponding to the current vehicle position is determined; based on the sensitivity level, the vehicle environment video data is processed accordingly; wherein the processing method is to determine each sensitive image area of ​​the vehicle environment video data based on the corresponding sensitivity level; obtain each pixel point data of each sensitive image area; calculate each pixel point data of each sensitive area respectively, and determine the average value of the pixel point data of each sensitive area; and process the vehicle environment video data based on the average value of the pixel point data;

[0079] It is understood that in this application, the sensitivity level can be obtained from map data, which is updated in real time. When a user initiates a monitoring request, the vehicle location can be obtained and compared with the map data. The map data contains existing sensitive locations and user-defined sensitive locations. The sensitivity level is determined in part by existing sensitive locations, such as military restricted areas, and in part by user-defined locations. The sensitivity level is also associated with these sensitive locations. For example, the aforementioned military restricted areas have a high sensitivity level, while ordinary streets have a low sensitivity level. Users can also customize the sensitivity level as needed. Different sensitivity levels have corresponding processing methods. Taking the high sensitivity level as an example, in this case, except for the location inside the vehicle that needs to be monitored, the rest of the image should be desensitized. In this case, the sensitive area obtained is all areas except the monitoring location. Pixel data of all areas except the monitoring location is obtained, and the average value of the pixel data of all areas except the monitoring location is calculated. The pixels in the sensitive area are modified based on this average value to complete the desensitization of the vehicle environment video data. Similarly, for the low sensitivity level, the sensitive area only needs to be set to private areas involving privacy, such as faces, and the above processing process is repeated.

[0080] In some embodiments, at least one sensitive range is defined based on the acquired map data. When a user initiates a monitoring request, the vehicle position is acquired in real time. Based on the positional relationship between the current vehicle position and the defined sensitive range, the vehicle environment video data is desensitized accordingly. If the current vehicle position is within the defined sensitive range, the sensitive area in the vehicle environment video data is determined, and desensitization is performed in accordance with the above-mentioned processing method for calculating the average sensitive area pixel data. If the current vehicle position is not within the defined sensitive range and does not meet any of the above-mentioned sensitivity levels, the entire pixels in the acquired vehicle environment video data are scanned as a whole, and the corresponding areas are divided according to the categories of the pixel points, such as objects, animals or people. Whether desensitization is required is determined based on the divided areas. When desensitization is required, such as in areas involving privacy such as faces, the corresponding areas are desensitized.

[0081] S103, pushing the vehicle environment video data to the cloud;

[0082] Specifically, in this step, the generated vehicle environment video data is pushed to the cloud;

[0083] It is understandable that in order to facilitate users to monitor the vehicle remotely, the vehicle environment video needs to be uploaded to the cloud so that users can view it conveniently.

[0084] In some of these applications, in order to meet the user's real-time monitoring needs, the vehicle environment video data is pushed to the cloud, specifically including determining whether the vehicle network status is abnormal; when the vehicle network status is normal, the vehicle environment video data is pushed to the cloud; when the vehicle network status is abnormal and exceeds the preset connection time, the vehicle environment video data is stopped from being pushed to the cloud.

[0085] It is understandable that in this application, when users need to monitor the vehicle in real time, they have higher requirements for the network. Therefore, the on-board terminal needs to self-check the on-board network status to determine whether the network status is normal. When the network is normal, normal transmission operations are performed. When the network is abnormal, in order to reduce the resource usage of the on-board terminal, a preset connection time is set, such as continuous connection for 3 minutes. If the connection cannot be made after more than 3 minutes, the transmission is stopped, and the cause of the abnormality is fed back to the user so that the user can handle it.

[0086] S104, in response to the viewing monitoring request signal, obtaining the vehicle environment video data from the cloud;

[0087] It can be understood that in this step, when everything is ready, the vehicle environment video data is obtained from the cloud according to the monitoring request signal sent by the user terminal, so that the vehicle environment can be remotely monitored conveniently and quickly in multiple scenarios and time periods according to the needs of the user, and multi-perspective remote monitoring of the vehicle's internal and external environment can be realized, while protecting user privacy and bringing a better user experience.

[0088] The following describes embodiments of the vehicle monitoring method of the present invention in some applications with reference to FIG. 2 to FIG. 6 :

[0089] FIG2 is an architecture diagram of this embodiment. According to this architecture, the solutions shown in FIG3 , FIG4 , FIG5 and FIG6 are implemented as follows:

[0090] 1. Use your mobile phone to remotely control the vehicle computer to enable remote services.

[0091] 1. The user clicks on the mobile app to start the service request. After receiving the user request, the server processes the protocol and forwards the command to the IOT service, which then sends the command to the vehicle computer.

[0092] 2. The vehicle computer receives the service start instruction and checks whether the vehicle status meets the start conditions. If the start conditions are met, the vehicle computer starts running the service and starts entering the communication room.

[0093] 3. After the mobile phone sends the monitoring request and receives feedback that the sending is successful, it starts to enter the communication room.

[0094] 4. Before the car computer and mobile phone enter the communication room, they must first request a token from the server. After receiving the request, the server calls the token generation algorithm to generate a token and returns the respective tokens to the car computer and mobile phone.

[0095] 5. After receiving their respective tokens, the car computer and mobile phone carry the tokens to request to enter the same communication room.

[0096] 6. When the car computer and mobile phone successfully enter the communication room, real-time audio and video communication, that is, remote monitoring function, can be realized.

[0097] 2. Monitoring service - the remote control module receives instructions, starts camera acquisition, and obtains raw data.

[0098] 1. The user clicks on the mobile app to select the monitoring perspective (i.e. front, rear, left, right, inside the car) and sends a remote control command. After receiving the request, the server processes the protocol and forwards it to the IOT service, which then sends the command to the vehicle computer.

[0099] 2. The vehicle computer receives the remote control command and checks the status of the camera at the corresponding viewing angle of the vehicle, that is, whether the camera is currently damaged or occupied;

[0100] 3. When the vehicle computer detects an abnormality in the vehicle camera, it reports the camera error information and informs the user of the current camera abnormality through the remote control link feedback.

[0101] 4. When the vehicle computer checks that the vehicle camera is normal, try to open the camera preview, obtain the raw data collected by the camera, and send the raw data to the desensitizing module.

[0102] 3. Monitoring service - desensitization module, which processes the raw data collected by the camera locally and outputs desensitized data.

[0103] 1. To protect user privacy and security, the vehicle monitoring service needs to perform local desensitization processing after obtaining the raw data collected by the camera (that is, the raw data does not leave the vehicle).

[0104] 2. The desensitization module of the vehicle-mounted monitoring service receives data collected by the camera, calls the vehicle-side desensitization algorithm, desensitizes the original data frame by frame, such as shielding sensitive information such as the faces of pedestrians around the vehicle, and outputs the desensitized data.

[0105] 3. The vehicle monitoring service sends the desensitized data to the video stream module.

[0106] 4. Monitoring service - video streaming module, pushes the desensitized data to the video cloud.

[0107] 1. The video stream module of the user's vehicle monitoring service receives the desensitized data, checks the vehicle network status, and runs the streaming service when the network connection is normal.

[0108] 2. When the vehicle computer monitoring service detects an abnormal vehicle computer network status, a timeout mechanism is set. If the network cannot be connected within a certain period of time (for example, 3 minutes), the current service will be stopped to reduce vehicle computer resource loss.

[0109] 3. When the vehicle computer monitoring service checks that the vehicle computer network status is normal, it will send the desensitized data to the video stream cloud server based on the communication room entered by the mobile phone and the vehicle computer, thus completing the video stream push.

[0110] 5. The mobile phone pulls the video stream from the video cloud to display the remote monitoring vehicle internal environment information and realize monitoring.

[0111] 1. In the remote monitoring interface of the mobile phone application, the user requests the video stream cloud server to obtain the vehicle video stream information based on the same communication room entered by the mobile phone and the vehicle.

[0112] 2. After the mobile phone obtains the video stream data from the video cloud, it plays the obtained video stream information on the monitoring interface, that is, it pulls the stream to display the real-time status of the remote vehicle computer and realizes the remote monitoring function.

[0113] 6. In special environments such as night, the mobile phone can remotely turn on the vehicle lights to improve the monitoring effect

[0114] 1. In special environments such as at night or on cloudy days, the user clicks on the mobile app to turn on the interior lights, exterior lights, or fog lights, and sends a remote control command. After receiving the request, the server processes and forwards the command to the IOT service, which then sends the command to the vehicle computer.

[0115] 2. The vehicle computer receives remote control commands and turns on the corresponding indoor or outdoor lights to improve the visual environment around the vehicle, ensure monitoring quality in various environments, and bring a better experience to users.

[0116] 3. When the user turns off the remote monitoring service, the service will automatically turn off all lights to reduce the loss of vehicle computer resources.

[0117] 7. Mobile phone remote control vehicle computer shutdown monitoring service

[0118] 1. The user clicks on the mobile app to close the service request. After receiving the request, the server processes it and forwards the command to the IoT service, which then sends the command to the vehicle computer.

[0119] 2. The vehicle computer receives a service shutdown instruction, stops camera acquisition, raw data desensitization, video streaming and other services, and exits and destroys the communication room.

[0120] For the method steps disclosed in the above embodiments, for the purpose of simple description, the method steps are expressed as a series of action combinations. However, those skilled in the art should be aware that the embodiments of the present invention are not limited by the order of the actions described, because according to the embodiments of the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

[0121] As shown in FIG7 , the present invention further provides a vehicle monitoring system, comprising:

[0122] The environmental data acquisition module 201 is configured to acquire vehicle environmental data in real time in response to a vehicle monitoring start signal;

[0123] The video data generating module 202 is configured to process the vehicle environment data based on a defined desensitization rule to generate vehicle environment video data;

[0124] The video data uploading module 203 is configured to push the vehicle environment video data to the cloud;

[0125] The vehicle monitoring module 204 is configured to obtain the vehicle environment video data from the cloud in response to the viewing monitoring request signal.

[0126] It is worth noting that although only some basic functional modules are disclosed in the embodiment of the present invention, it does not mean that the composition of the present system is limited to the above basic functional modules. On the contrary, what this embodiment wants to express is that on the basis of the above basic functional modules, those skilled in the art can arbitrarily add one or more functional modules in combination with the existing technology to form an infinite number of embodiments or technical solutions. In other words, this system is open rather than closed. Just because this embodiment only discloses individual basic functional modules, it cannot be considered that the scope of protection of the claims of the present invention is limited to the disclosed basic functional modules. At the same time, for the convenience of description, the above devices are described in terms of functions, which are divided into various units and modules. Of course, when implementing the present invention, the functions of each unit and module can be implemented in the same or one or more software and / or hardware.

[0127] As shown in Figure 8, the present invention also provides an electronic device, including: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the vehicle monitoring method.

[0128] Figure 8 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. As shown in Figure 8 , the electronic device provided by an embodiment of the present invention includes: one or more processors 710 and a storage device 720. The electronic device may include one or more processors 710, with Figure 8 using one processor 710 as an example. The storage device 720 is used to store one or more programs. These one or more programs are executed by the one or more processors 710, enabling the one or more processors 710 to implement the vehicle monitoring method described in any of the embodiments of the present invention.

[0129] The electronic device may further include an input device 730 and an output device 740 .

[0130] The processor 710 , storage device 720 , input device 730 and output device 740 in the electronic device may be connected via a bus or other means. FIG8 takes the bus connection as an example.

[0131] The storage device 720 in the electronic device serves as a computer-readable storage medium and can be used to store one or more programs, which may be software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the vehicle monitoring method provided in the embodiments of the present invention. The processor 710 executes the software programs, instructions, and modules stored in the storage device 720 to execute various functional applications and data processing of the electronic device, thereby implementing the vehicle monitoring method in the above-mentioned method embodiment.

[0132] The storage device 720 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created based on the use of the electronic device, etc. In addition, the storage device 720 may include a high-speed random access memory and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the storage device 720 may further include a memory remotely located relative to the processor 710, and these remote memories may be connected to the device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0133] The input device 730 may be used to receive input digital or character information and generate key signal input related to user settings and function control of the electronic device. The output device 740 may include a display device such as a display screen.

[0134] The present invention also provides a computer-readable storage medium storing a computer program executable by an electronic device. When the computer program runs on the electronic device, the electronic device executes the steps of the vehicle monitoring method.

[0135] Specifically, the computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or component, or any combination of the above. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium can be any tangible medium that contains or stores a program, which can be used by or in combination with an instruction execution system, device or device.

[0136] The present invention also provides a vehicle, wherein the vehicle is provided with the vehicle monitoring system as described above.

[0137] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A vehicle monitoring method, characterized in that: include: Responding to a vehicle monitoring start signal, acquiring vehicle environment data in real time; Based on the defined desensitization rules, the vehicle environment data is processed to generate vehicle environment video data; Pushing the vehicle environment video data to the cloud; In response to the viewing monitoring request signal, the vehicle environment video data is obtained from the cloud.

2. The vehicle monitoring method according to claim 1, characterized in that: In response to the vehicle monitoring start signal, before acquiring the vehicle environment data in real time, the method further includes: In response to the remote service activation signal, determining whether a service activation condition is satisfied based on a vehicle status; When the activation condition is met, judging whether the vehicle monitoring activation condition is met based on the preset encryption rules; When the monitoring start condition is met, the vehicle environment data is acquired in real time in response to a vehicle monitoring start signal.

3. The vehicle monitoring method according to claim 1, characterized in that: In response to the vehicle monitoring start signal, the vehicle environment data is acquired in real time, specifically including: In response to a monitoring viewing angle selected by a user, determining whether a monitoring device for monitoring the monitoring viewing angle is available; When the monitoring device is available, obtaining the vehicle environment data in real time through the monitoring device; When the monitoring device is unavailable, an abnormal state of the monitoring device is fed back.

4. The vehicle monitoring method according to claim 1, characterized in that: Based on the defined desensitization rules, the vehicle environment data is processed to generate vehicle environment video data, specifically including: The desensitization rules include: shielding facial information of pedestrians around the vehicle; Based on the desensitization rule, the vehicle environment data is processed frame by frame to generate the vehicle environment video data.

5. The vehicle monitoring method according to claim 1, characterized in that: The defined desensitization rules include: Obtaining the vehicle position; Determining whether the vehicle position meets a corresponding sensitivity level; Based on the corresponding sensitivity level, the acquired vehicle environment video data is processed accordingly.

6. The vehicle monitoring method according to claim 5, characterized in that: Based on the map data, determining the sensitivity level corresponding to the current vehicle position; Based on the sensitivity level, the vehicle environment video data is processed accordingly; Wherein, the processing method is to determine each sensitive image area of ​​the vehicle environment video data based on the corresponding sensitivity level; Acquire the pixel data of each sensitive image area; Calculating the pixel data of each sensitive area respectively to determine the average value of the pixel data of each sensitive area; The vehicle environment video data is processed according to an average value of the pixel point data.

7. A vehicle monitoring system, characterized in that: include: An environmental data acquisition module, configured to acquire vehicle environmental data in real time in response to a vehicle monitoring start signal; A video data generation module, configured to process the vehicle environment data based on a defined desensitization rule to generate vehicle environment video data; A video data uploading module, configured to push the vehicle environment video data to the cloud; The vehicle monitoring module is configured to obtain the vehicle environment video data from the cloud in response to a viewing monitoring request signal.

8. An electronic device, characterized in that: include: A processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the method described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: It stores a computer program executable by an electronic device, and when the computer program runs on the electronic device, the electronic device executes the steps of the method described in any one of claims 1 to 6.

10. A vehicle, characterized in that: The vehicle is provided with the vehicle monitoring system according to claim 7.

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