Method and system for realizing vehicle relay tracking based on front-end sensing deployment and control target

Abstract

A method for realizing vehicle relay tracking based on a front-end sensing deployment and control target comprises the following steps: accessing a front-end sensing device in a target area, performing picture structured processing on passing vehicle data captured by the front-end sensing device, extracting vehicle features, and monitoring message push of vehicle structured analysis data in real time; creating a vehicle relay tracking task according to a user demand, and setting front-end sensing equipment in an area according to the vehicle relay tracking task; and when the vehicle runs into the target area, relay tracking is carried out on the vehicle according to the front-end sensing equipment arranged in the area. According to the method, security personnel or an activity sponsor can be helped to be liberated from heavy physical labor, activity information of an activity motorcade is controlled in the whole process behind the curtain, manpower and material resource cost is effectively saved, and powerful support is provided for convoy of large-scale security activities and security tasks.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle tracking, and in particular to a method for realizing vehicle relay tracking based on front-end sensing and control targets. Background Art

[0002] With the continuous advancement of urbanization, vehicle mobility and traffic complexity are increasing, and traditional vehicle tracking methods can no longer meet the rapidly changing road traffic environment. Existing vehicle tracking systems mostly rely on a single monitoring point for tracking, or use manual intervention to determine the vehicle's driving path. The limitations of these methods make it difficult to efficiently complete tasks such as real-time monitoring and dynamic scheduling. The original manual backend security is complicated and inefficient, such as the operation of the video screen switching method is complicated, the manpower requirements are high, and multiple personnel are required to communicate and cooperate with each other, the tasks cannot be set and saved in advance, and the security lines cannot be presented intuitively. These problems have brought great troubles and caught security activities off guard. Traditional vehicle tracking methods usually rely on a single fixed monitoring device, such as traffic cameras or vehicle-mounted GPS positioning systems. These devices can only provide limited real-time information in certain areas, and cannot achieve efficient relay tracking over a large area. Therefore, there is an urgent need for a method for realizing vehicle relay tracking based on front-end perception and control targets to solve the existing technical problems. Summary of the invention

[0003] In view of the above problems, the present invention is proposed to provide a method and system for realizing vehicle relay tracking based on front-end sensing and control targets, which overcomes the above problems or at least partially solves the above problems.

[0004] In order to solve the above technical problems, the embodiments of the present application disclose the following technical solutions:

[0005] In a first aspect, an embodiment of the present invention discloses a method for implementing vehicle relay tracking based on front-end sensing and control targets, comprising:

[0006] S100. Access the front-end sensing device in the target area, perform image structured processing on the vehicle data captured by the front-end sensing device, extract vehicle features, and monitor the message push of vehicle structured analysis data in real time;

[0007] S200. Create a vehicle relay tracking task according to user needs, and set the front-end sensing device in the area according to the vehicle relay tracking task;

[0008] S300. When the vehicle enters the target area, the vehicle is relay tracked according to the front-end sensing device in the set area.

[0009] Furthermore, in S100, the front-end sensing equipment includes at least: high-point video monitoring, vehicle checkpoints and tracking ball cameras.

[0010] Furthermore, in S100, a grayscale conversion method is used to perform image structured processing on the vehicle passing data captured by the front-end sensing device. The specific method includes: converting a color photo consisting of three channels of R, B, and G into a single-channel gray image, wherein the R, B, and G of the color photo are divided into three components, each component is composed of 255 medians, each pixel is processed separately, the weights of the RGB components of each pixel and different weights are weighted, and then the processed new pixels are spherically averaged.

[0011] Furthermore, in S100, when the front-end perception device is unable to directly perform license plate control in the background, the video stream obtained by the front-end perception device is transmitted to the vehicle algorithm for structured analysis. After the analysis is completed, the license plate is pushed to the relay tracking task through Kafka. This process from obtaining the stream to receiving the structured analysis data is also in a quasi-real-time state; when the front-end perception device can directly perform license plate control in the background, after setting the rear license plate recognition area, once the controlled vehicle appears on the front-end perception device, the front-end perception device will immediately send back the monitoring screen to the front-end page.

[0012] Furthermore, in S200, a vehicle relay tracking task is created according to user needs, and the front-end sensing devices in the area are set according to the vehicle relay tracking task. The specific method includes: obtaining vehicle information, vehicle activity routes and vehicle travel time range according to user needs, using a polygon selection tool on the map to select the front-end sensing devices on the vehicle activity routes, and grouping the front-end sensing devices in the same area, setting the estimated vehicle arrival time in the middle of each front-end device group, simulating the real-time movement of the vehicle when the vehicle has not passed through the front-end sensing device group, and setting the travel time to the destination based on the last device group passed by the driving vehicle, so as to generate a relay tracking task summary when the vehicle arrives at the destination.

[0013] Furthermore, in S300, when the vehicle enters the target area, the vehicle is relay tracked according to the front-end sensing devices in the set area. The specific method includes: when the target vehicle appears in the selected front-end device group, the real-time video screen of the current group of front-end sensing device groups is displayed on the front-end page map; when the vehicle disappears from the selected front-end device group, the real-time video screen of the corresponding front-end sensing device group is closed, and the vehicle model continues to follow the vehicle's driving route to the next group of front-end sensing devices, and the real-time video screen of the next group of front-end sensing device groups is displayed on the front-end page map; a relay tracking task summary is generated according to the actual departure and arrival time of the target vehicle.

[0014] Furthermore, when the target vehicle arrives at the set intersection capture area in advance, the front-end page will directly pop up the real-time video screen of the front-end perception device group, and the vehicle model will move directly to the intersection where the current device group is located in the background until the current active vehicle disappears in all the capture images of the current front-end perception device group. The vehicle model will continue to drive to the next intersection.

[0015] Furthermore, when the target vehicle arrives at the set intersection capture area late, the vehicle model will stop at the preset intersection after arriving at the preset intersection, and will not continue to drive to the next intersection until the active vehicle arrives at the current capture area and leaves for the next intersection.

[0016] In a second aspect, an embodiment of the present invention discloses a system for realizing vehicle relay tracking based on front-end sensing and control targets, including: a front-end sensing device access and vehicle feature extraction unit, a vehicle relay tracking task creation unit and a vehicle relay tracking unit;

[0017] The front-end sensing device access and vehicle feature extraction unit is used to access the front-end sensing device in the target area, perform image structured processing on the vehicle passing data captured by the front-end sensing device, extract vehicle features, and monitor the message push of vehicle structured analysis data in real time;

[0018] A vehicle relay tracking task creation unit, used to create a vehicle relay tracking task according to user needs, and to set the front-end sensing device in the area according to the vehicle relay tracking task;

[0019] The vehicle relay tracking unit is used to relay track the vehicle when the vehicle enters the target area based on the front-end sensing device in the set area.

[0020] In a third aspect, an embodiment of the present invention discloses an electronic device, including:

[0021] one or more processors;

[0022] A memory for storing one or more programs;

[0023] When the one or more programs are executed by the one or more processors, the one or more processors implement the vehicle relay tracking method.

[0024] The beneficial effects of the above technical solution provided by the embodiment of the present invention include at least:

[0025] The present invention discloses a method for realizing vehicle relay tracking based on front-end sensing and control targets, including: accessing the front-end sensing device in the target area, performing image structured processing on the vehicle passing data captured by the front-end sensing device, extracting vehicle features, and monitoring the message push of vehicle structured analysis data in real time; creating a vehicle relay tracking task according to user needs, and setting the front-end sensing device in the area according to the vehicle relay tracking task; when the vehicle drives into the target area, relay tracking is performed on the vehicle according to the front-end sensing device in the set area. The disclosed method proposed by the invention can help security personnel or event organizers to be liberated from heavy physical labor, control the activity information of the event fleet behind the scenes throughout the process, effectively save manpower and material costs, and provide strong support for the escort of large-scale security activities and protection tasks.

[0026] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0028] Figure 1 This is a flow chart of a method for realizing vehicle relay tracking based on front-end sensing and control targets in Embodiment 1 of the present invention;

[0029] Figure 2 This is a schematic diagram of the structure of an electronic device in Example 3 of the present invention. DETAILED DESCRIPTION

[0030] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0031] In order to solve the problems existing in the prior art, the embodiments of the present invention provide.

[0032] Example 1

[0033] The present invention discloses a method for realizing vehicle relay tracking based on front-end sensing and control targets, such as Figure 1 ,include:

[0034] S100. Access the front-end sensing device in the target area, perform image structured processing on the vehicle data captured by the front-end sensing device, extract vehicle features, and monitor the message push of vehicle structured analysis data in real time; in S100 of this embodiment, the front-end sensing device at least includes: high-point video monitoring, vehicle checkpoints and tracking ball cameras. Among them, high-point video monitoring refers to the technology of real-time monitoring of a large area by installing surveillance cameras at high places (such as the top of a building, the top of a mountain, etc.). This technology has the characteristics of wide field of view, wide monitoring range, clear images, etc., and is widely used in urban security monitoring, traffic management, crime prevention and other fields.

[0035] In S100 of this embodiment, a grayscale conversion method is used to perform image structured processing on the vehicle passing data captured by the front-end sensing device. The specific method includes: converting a color photo consisting of three channels of R, B, and G into a single-channel gray picture, wherein the R, B, and G of the color photo are divided into three components, each component is composed of 255 medians, and each pixel is processed separately, and the weights of the RGB components of each pixel and different weights are weighted, and then the processed new pixel is averaged, where c is assumed to be the gray value, c = Max (R, G, B) - Min (R, G, B)). Specifically, the grayscale conversion method refers to a method of changing the gray value of each pixel in the source image point by point according to a certain transformation relationship based on a certain target condition. In the RGB color space, each pixel of the color image is composed of three components of red (R), green (G), and blue (B), while each pixel of the grayscale image has only one grayscale value. The principle of the grayscale conversion method is to convert the RGB components of the color image into grayscale values ​​through a certain algorithm or formula.

[0036] In S100 of this embodiment, when the front-end sensing device cannot directly perform license plate control in the background, the video stream obtained by the front-end sensing device is transmitted to the vehicle algorithm for structured analysis. After the analysis is completed, the license plate is pushed to the relay tracking task through Kafka. This process from stream acquisition to receiving structured analysis data is also in quasi-real-time state; when the front-end sensing device can directly perform license plate control in the background, after setting the rear license plate recognition area, once the controlled vehicle appears on the front-end sensing device, the front-end sensing device will immediately return the monitoring screen to the front-end page.

[0037] S200. Create a vehicle relay tracking task according to user needs, and set the front-end sensing devices in the area according to the vehicle relay tracking task; in S200 of this embodiment, create a vehicle relay tracking task according to user needs, and set the front-end sensing devices in the area according to the vehicle relay tracking task. The specific method includes: obtaining vehicle information, vehicle activity routes and vehicle travel time range according to user needs, using a polygon selection tool on the map to select the front-end sensing devices on the vehicle activity routes, and grouping the front-end sensing devices in the same area, setting the estimated vehicle arrival time in the middle of each front-end device group, simulating the real-time movement of the vehicle when the vehicle has not passed through the front-end sensing device group, and setting the travel time to the destination based on the last device group passed by the driving vehicle, so as to generate a relay tracking task summary when the vehicle arrives at the destination.

[0038] Specifically, create a task based on the vehicle information provided by the organizer of the security event or police task (this process will directly write the license plate into the built-in control library of the relay tracking ball camera). Select the time range of the activity and depict the vehicle's driving route during the activity. According to the drawn vehicle activity route, select the front-end sensing devices along the way and group the devices according to the vehicle's driving direction (any device that captures the vehicle information will directly pop up a window to play the real-time monitoring video of the current device group until the vehicle disappears from all device monitoring screens). Set the estimated vehicle arrival time in the middle of each device group, and simulate the real-time movement of the vehicle when the vehicle does not pass through the device group. Based on the last device group passed by the moving vehicle, set the travel time to the destination, which is used to generate a relay tracking task summary when the vehicle arrives at the destination.

[0039] By creating a detailed vehicle relay tracking mission and reasonably setting up the front-end sensing equipment in the area according to the mission, through scientific planning and careful deployment, we can achieve continuous and uninterrupted tracking of specific vehicles, providing strong support for traffic management and other aspects.

[0040] S300. When the vehicle enters the target area, the vehicle is relay tracked according to the front-end sensing device in the set area.

[0041] In S300 of the present embodiment, when the vehicle enters the target area, the vehicle is relay tracked according to the front-end sensing devices in the set area. The specific method includes: when the target vehicle appears in the selected front-end device group, the real-time video screen of the current group of front-end sensing device groups is displayed on the front-end page map; when the vehicle disappears from the selected front-end device group, the real-time video screen of the corresponding front-end sensing device group is closed, and the vehicle model continues to follow the vehicle's driving route to the next group of front-end sensing devices, and the real-time video screen of the next group of front-end sensing device groups is displayed on the front-end page map; a relay tracking task summary is generated according to the actual departure and arrival time of the target vehicle.

[0042] In some preferred embodiments, when the target vehicle arrives at the set intersection capture area in advance, the front page will directly pop up the real-time video screen of the front-end sensing device group, and the vehicle model will move directly to the intersection where the current device group is located in the background until the current active vehicle disappears from all the captured images of the current front-end sensing device group, and the vehicle model will continue to drive to the next intersection. When the target vehicle arrives at the set intersection capture area later, the vehicle model will stop at the preset intersection after arriving at the preset intersection, and will continue to drive to the next intersection until the active vehicle arrives at the current capture area and leaves for the next intersection.

[0043] This embodiment discloses a method for realizing vehicle relay tracking based on front-end sensing and control targets, including: accessing the front-end sensing device in the target area, performing image structured processing on the vehicle passing data captured by the front-end sensing device, extracting vehicle features, and monitoring the message push of vehicle structured analysis data in real time; creating a vehicle relay tracking task according to user needs, and setting the front-end sensing device in the area according to the vehicle relay tracking task; when the vehicle drives into the target area, relay tracking is performed on the vehicle according to the front-end sensing device in the set area. The disclosed method proposed in the invention can help security personnel or event organizers to be freed from heavy physical labor, control the activity information of the event fleet behind the scenes, effectively save manpower and material costs, and provide strong support for the escort of large-scale security activities and protection tasks.

[0044] Example 2

[0045] Based on the same inventive concept, the disclosed embodiment also provides a system for realizing vehicle relay tracking based on front-end sensing and control targets, including: a front-end sensing device access and vehicle feature extraction unit, a vehicle relay tracking task creation unit and a vehicle relay tracking unit;

[0046] The front-end sensing device access and vehicle feature extraction unit is used to access the front-end sensing device in the target area, perform image structured processing on the vehicle passing data captured by the front-end sensing device, extract vehicle features, and monitor the message push of vehicle structured analysis data in real time;

[0047] A vehicle relay tracking task creation unit, used to create a vehicle relay tracking task according to user needs, and to set the front-end sensing device in the area according to the vehicle relay tracking task;

[0048] The vehicle relay tracking unit is used to relay track the vehicle when the vehicle enters the target area based on the front-end sensing device in the set area.

[0049] Among them, the specific working methods of the front-end sensing device access and vehicle feature extraction unit, the vehicle relay tracking task creation unit and the vehicle relay tracking unit have been recorded in detail in Example 1, and will not be repeated in this embodiment.

[0050] Example 3

[0051] Based on the same inventive concept, an embodiment of the present disclosure also provides an electronic device. Figure 2 FIG. 1 is a schematic diagram of the structure of an electronic device according to an embodiment of the present disclosure. Figure 2 As shown, an embodiment of the present disclosure provides an electronic device including: one or more processors 101, a memory 102, and one or more I / O interfaces 103. The memory 102 stores one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement any optimization method in the above embodiments; the one or more I / O interfaces 103 are connected between the processor and the memory, and are configured to implement information interaction between the processor and the memory.

[0052] Among them, the processor 101 is a device with data processing capabilities, including but not limited to a central processing unit (CPU), etc.; the memory 102 is a device with data storage capabilities, including but not limited to random access memory (RAM, more specifically SDRAM, DDR, etc.), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory (FLASH); the I / O interface (read-write interface) 103 is connected between the processor 101 and the memory 102, and can realize information interaction between the processor 101 and the memory 102, including but not limited to a data bus (Bus), etc.

[0053] In some embodiments, the processor 101 , the memory 102 , and the I / O interface 103 are connected to each other via a bus 104 , and further connected to other components of the computing device.

[0054] In some embodiments, the one or more processors 101 include a field programmable gate array.

[0055] According to an embodiment of the present disclosure, a computer-readable medium is further provided, wherein a computer program is stored on the computer-readable medium, wherein when the program is executed by a processor, the steps in any optimization method in the above-mentioned embodiment are implemented.

[0056] It should be understood that the specific order or hierarchy of steps in the disclosed process is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process can be rearranged without departing from the scope of protection of the present disclosure. The attached method claims present the elements of the various steps in an exemplary order and are not intended to be limited to the specific order or hierarchy described.

[0057] In the above detailed description, various features are grouped together in a single embodiment to simplify the disclosure. This method of disclosure should not be interpreted as reflecting an intention that the embodiments of the claimed subject matter require more features than are clearly stated in each claim. On the contrary, as reflected in the appended claims, the invention is in a state of having less than all the features of the disclosed individual embodiments. Therefore, the appended claims are hereby expressly incorporated into the detailed description, with each claim standing on its own as a separate preferred embodiment of the invention.

[0058] Those skilled in the art will also appreciate that the various illustrative logic blocks, modules, circuits, and algorithmic steps described in conjunction with the embodiments herein can all be implemented as electronic hardware, computer software, or a combination thereof. In order to clearly illustrate the interchangeability between hardware and software, various illustrative components, blocks, modules, circuits, and steps are generally described above around their functions. Whether such functions are implemented as hardware or software depends on specific applications and the design constraints imposed on the entire system. A skilled person can implement the described functions in an alternative manner for each specific application, but such implementation decisions should not be interpreted as departing from the scope of protection of the present disclosure.

[0059] The steps of the method or algorithm described in conjunction with the embodiments herein may be directly embodied as hardware, a software module executed by a processor, or a combination thereof. The software module may be located in a RAM memory, a flash memory, a ROM memory, an EPROM memory, an EEPROM memory, a register, a hard disk, a mobile disk, a CD-ROM, or any other form of storage medium well known in the art. An exemplary storage medium is connected to the processor so that the processor can read information from the storage medium and can write information to the storage medium. Of course, the storage medium may also be an integral part of the processor. The processor and the storage medium may be located in an ASIC. The ASIC may be located in a user terminal. Of course, the processor and the storage medium may also be present in a user terminal as discrete components.

[0060] For software implementation, the techniques described in this application can be implemented with modules (e.g., procedures, functions, etc.) that perform the functions described in this application. These software codes can be stored in a memory unit and executed by a processor. The memory unit can be implemented within the processor or outside the processor. In the latter case, it is coupled to the processor in a communication manner via various means, which are well known in the art.

[0061] The above description includes examples of one or more embodiments. Of course, it is impossible to describe all possible combinations of components or methods for the purpose of describing the above embodiments, but it should be recognized by those skilled in the art that the various embodiments may be further combined and arranged. Therefore, the embodiments described herein are intended to cover all such changes, modifications and variations that fall within the scope of protection of the appended claims. In addition, with respect to the term "comprising" used in the specification or claims, the word is covered in a manner similar to the term "including", just as "including," is explained as a transitional word in the claims. In addition, any term "or" used in the specification of the claims is intended to mean "non-exclusive or".

Claims

1. A method for realizing vehicle relay tracking based on front-end sensing and control targets, characterized in that: include: S100. Access the front-end sensing device in the target area, perform image structured processing on the vehicle data captured by the front-end sensing device, extract vehicle features, and monitor the message push of vehicle structured analysis data in real time; S200. Create a vehicle relay tracking task according to user needs, and set the front-end sensing device in the target area according to the vehicle relay tracking task; S300. When the vehicle enters the target area, the vehicle is relay tracked according to the front-end sensing device in the set area.

2. A method for realizing vehicle relay tracking based on front-end sensing and control targets as claimed in claim 1, characterized in that: In S100, the front-end sensing equipment includes at least: high-point video monitoring, vehicle checkpoints and tracking ball cameras.

3. The method for realizing vehicle relay tracking based on front-end sensing and control target according to claim 1, characterized in that: In S100, a grayscale conversion method is used to perform image structured processing on the vehicle passing data captured by the front-end sensing device. The specific method includes: converting a color photo consisting of three channels of R, B, and G into a single-channel gray image, wherein the R, B, and G of the color photo are divided into three components, each component is composed of 255 medians, each pixel is processed separately, the weights of the RGB components of each pixel and different weights are weighted, and then the processed new pixels are spherically averaged.

4. The method for realizing vehicle relay tracking based on front-end sensing and control target according to claim 1, characterized in that: In S100, when the front-end perception device cannot directly perform license plate control in the background, the video stream obtained by the front-end perception device is transmitted to the vehicle algorithm for structured analysis. After the analysis is completed, the license plate is pushed to the relay tracking task through Kafka. This process from obtaining the stream to receiving the structured analysis data is also in quasi-real time. When the front-end perception device can directly perform license plate control in the background, after setting the rear license plate recognition area, once the controlled vehicle appears on the front-end perception device, the front-end perception device will immediately send back the monitoring screen to the front-end page.

5. The method for realizing vehicle relay tracking based on front-end sensing and control target according to claim 1, characterized in that: In S200, a vehicle relay tracking task is created according to user needs, and the front-end sensing devices in the area are set according to the vehicle relay tracking task. The specific method includes: obtaining vehicle information, vehicle activity routes and vehicle travel time range according to user needs, using a polygon selection tool on the map to select the front-end sensing devices on the vehicle activity routes, and grouping the front-end sensing devices in the same area, setting the estimated vehicle arrival time in the middle of each front-end device group, simulating the real-time movement of the vehicle when the vehicle has not passed through the front-end sensing device group, and setting the travel time to the destination based on the last device group passed by the driving vehicle, so as to generate a relay tracking task summary when the vehicle arrives at the destination.

6. The method for realizing vehicle relay tracking based on front-end sensing and control target according to claim 1, characterized in that: In S300, when the vehicle enters the target area, the vehicle is relay tracked according to the front-end sensing devices in the set area. The specific method includes: when the target vehicle appears in the selected front-end device group, the real-time video screen of the current group of front-end sensing device groups is displayed on the front-end page map; when the vehicle disappears from the selected front-end device group, the real-time video screen of the corresponding front-end sensing device group is closed, and the vehicle model continues to follow the vehicle's driving route to the next group of front-end sensing devices, and the real-time video screen of the next group of front-end sensing device groups is displayed on the front-end page map; a relay tracking task summary is generated according to the actual departure and arrival time of the target vehicle.

7. A method for realizing vehicle relay tracking based on front-end sensing and control targets as claimed in claim 6, characterized in that: When the target vehicle arrives at the set intersection capture area in advance, the front-end page will directly pop up the real-time video screen of the front-end perception device group, and the vehicle model will move directly to the intersection where the current device group is located in the background. The vehicle model will not continue to drive to the next intersection until the current active vehicle disappears in all the capture images of the current front-end perception device group.

8. The method for realizing vehicle relay tracking based on front-end sensing and control target according to claim 6, characterized in that: When the target vehicle arrives at the set intersection capture area late, the vehicle model will stop at the preset intersection after arriving at the preset intersection until the active vehicle arrives at the current capture area and leaves for the next intersection, and then the vehicle model will continue to drive to the next intersection.

9. A system for realizing vehicle relay tracking based on front-end sensing and control targets, using the tracking method described in any one of claims 1 to 8, characterized in that: include: Front-end sensing device access and vehicle feature extraction unit, vehicle relay tracking task creation unit and vehicle relay tracking unit; The front-end sensing device access and vehicle feature extraction unit is used to access the front-end sensing device in the target area, perform image structured processing on the vehicle passing data captured by the front-end sensing device, extract vehicle features, and monitor the message push of vehicle structured analysis data in real time; A vehicle relay tracking task creation unit, used to create a vehicle relay tracking task according to user needs, and to set the front-end sensing device in the area according to the vehicle relay tracking task; The vehicle relay tracking unit is used to relay track the vehicle when the vehicle enters the target area based on the front-end sensing device in the set area.

10. An electronic device, characterized in that: include: one or more processors; A memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the vehicle relay tracking method.

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