Vehicle information display method, device, equipment and storage medium

Abstract

The application provides a vehicle information display method, device and equipment and a storage medium, and relates to the field of intelligent transportation. The method comprises the following steps: obtaining detection information of a target vehicle; the detection information comprises a plurality of detection images of the target vehicle passing through a first detection point at different times within a first detection period; a display page corresponding to the target vehicle is generated based on the plurality of detection images in the detection information; the display page comprises a plurality of information display units; the detection image corresponding to one information display unit comprises a vehicle contour image of the target vehicle and a license plate image of the target vehicle at one time; a time distribution diagram is generated on the display page based on the detection time information of the plurality of detection images in the detection information; the time distribution diagram is used to reflect the time distribution law of the target vehicle passing through the first detection point, thereby improving the investigation effect on abnormal vehicles and saving manpower and material resources required for the investigation of abnormal vehicles.

Description

Technical Field

[0001] This application relates to the field of intelligent transportation, and in particular to a method, device, equipment and storage medium for displaying vehicle information. Background Technology

[0002] In recent years, with the rapid increase in car ownership, traffic management pressure and urban safety risks have increased accordingly. Among these, safety incidents caused by abnormal vehicles have occurred frequently, making the existence of abnormal vehicles a safety hazard that cannot be ignored.

[0003] To detect suspicious vehicles, traffic management personnel typically set up roadblocks on main roads to check passing vehicles. For example, traffic management personnel require vehicles to produce relevant documents and then check vehicle information based on those documents. This not only consumes a lot of manpower and resources, but also has poor screening results. Summary of the Invention

[0004] Based on the above-mentioned technical problems, this application provides a vehicle information display method, device, equipment and storage medium, which can improve the screening effect of abnormal vehicles, and at the same time save the manpower and material resources required for screening abnormal vehicles.

[0005] In a first aspect, this application provides a vehicle information display method, which includes: acquiring detection information of a target vehicle; the detection information includes multiple detection images taken when the target vehicle passes through a first detection point at different times within a first detection period; generating a display page corresponding to the target vehicle based on the multiple detection images in the detection information; the display page includes multiple information display units; the detection image corresponding to one information display unit includes a vehicle shape image and a license plate image of the target vehicle at a certain time; generating a time distribution map on the display page based on the detection time information of the multiple detection images in the detection information; the time distribution map is used to reflect the time distribution pattern of the target vehicle passing through the first detection point.

[0006] The vehicle information display method provided in this application can acquire detection information of a target vehicle, thereby obtaining multiple detection images captured when the target vehicle passes through a first detection point at different times within a first detection period. Furthermore, based on the multiple detection images in the detection information, this application generates a display page corresponding to the target vehicle. The display page includes multiple information display units; the detection image corresponding to each information display unit includes an image of the target vehicle's exterior shape and a license plate image at a given time. Thus, this application can display the vehicle's exterior shape and license plate images at different times, allowing users to intuitively see the target vehicle's appearance and license plate. Furthermore, this application can also generate a time distribution map on the display page based on the detection time information of the multiple detection images in the detection information, so that users can understand the time distribution pattern of the target vehicle passing through the first detection point. In this way, users can determine whether the target vehicle is an abnormal vehicle based on the vehicle's appearance, license plate, and time distribution pattern. Compared with the current manual on-site inspection method, the vehicle information display method provided in this application embodiment facilitates the inspection of abnormal vehicles, saves manpower and resources, and improves the inspection effect.

[0007] In one possible implementation, a time distribution map is generated on the display page based on the detection time information of multiple detection images in the detection information. This includes: determining the detection date and detection time corresponding to each detection image in the detection time information; mapping the detection date corresponding to each detection image to a preset date within a preset time period; mapping the detection time corresponding to each detection image to a preset time segment within the preset time period; and generating a time distribution map based on the mapping relationship between each detection image and the preset date and preset time segment within the preset time period. The time distribution pattern is used to reflect the frequency of the target vehicle appearing on each preset date and in each preset time period within the preset time period.

[0008] In one possible implementation, on the time distribution map, preset time segments within a preset date are displayed with corresponding background colors or symbols, and different background colors or different symbols indicate that the target vehicles appear at different frequencies.

[0009] In one possible implementation, the display page also includes the number of times the target vehicle was photographed at the first detection point and the number of times it was photographed at other detection points; the detection information also includes multiple detection images of the target vehicle taken when it passed through other detection points within a preset time period; the display page also includes a detection point selection control; the method further includes: switching the display page of the target vehicle corresponding to the second detection point based on the second detection point indicated by the detection point selection control.

[0010] In one possible implementation, the detected image corresponding to an information display unit also includes facial images of the driver and passengers; the display page also includes at least one of the following prompts: the number of times the driver and passengers of the target vehicle wore masks within a preset time period, the mask wearing rate of the driver and passengers of the target vehicle within a preset time period, and the number of passenger changes in the target vehicle within a preset time period; wherein, the driver and passengers include passengers and / or drivers.

[0011] In one possible implementation, the method further includes: determining the degree of abnormality of the vehicle to be tested based on one or more of the following: traffic information, operation information, and vehicle personnel characteristic information; the traffic information is used to reflect the number of times each vehicle to be tested passes through each detection point; the operation information is used to reflect whether each vehicle to be tested has the necessary operating qualifications; the vehicle personnel characteristic information is used to reflect the mask-wearing rate of the occupants in each vehicle to be tested; and identifying vehicles to be tested with an abnormality degree greater than or equal to a preset threshold as target vehicles.

[0012] Secondly, this application provides a vehicle information display device, which includes an acquisition module and a processing module. The acquisition module is used to acquire detection information of a target vehicle. The detection information includes multiple detection images captured when the target vehicle passes through a first detection point at different times within a first detection period. The processing module is used to generate a display page corresponding to the target vehicle based on the multiple detection images in the detection information. The display page includes multiple information display units. The detection image corresponding to one information display unit includes a vehicle shape image and a license plate image of the target vehicle at a certain time. The processing module is also used to generate a time distribution map on the display page based on the detection time information of the multiple detection images in the detection information. The time distribution map is used to reflect the time distribution pattern of the target vehicle passing through the first detection point.

[0013] In one possible implementation, the processing module is specifically used to: determine the detection date and detection time corresponding to each detection image in the detection time information; map the detection date corresponding to each detection image to a preset date within a preset time period; map the detection time corresponding to each detection image to a preset time segment within the preset time period; and generate a time distribution map based on the mapping relationship between each detection image and the preset date and preset time segment within the preset time period; the time distribution pattern is used to reflect the frequency of the target vehicle appearing on each preset date and in each preset time period within the preset time period.

[0014] In one possible implementation, on the time distribution map, preset time segments within a preset date are displayed with corresponding background colors or symbols, and different background colors or different symbols indicate that the target vehicles appear at different frequencies.

[0015] In one possible implementation, the display page also includes the number of times the target vehicle was photographed at the first detection point and the number of times it was photographed at other detection points; the detection information also includes multiple detection images of the target vehicle taken when it passed through other detection points within a preset time period; the display page also includes a detection point selection control; the processing module is further configured to: switch the display page of the target vehicle corresponding to the second detection point based on the second detection point indicated by the detection point selection control.

[0016] In one possible implementation, the detected image corresponding to an information display unit also includes facial images of the driver and passengers; the display page also includes at least one of the following prompts: the number of times the driver and passengers of the target vehicle wore masks within a preset time period, the mask wearing rate of the driver and passengers of the target vehicle within a preset time period, and the number of passenger changes in the target vehicle within a preset time period; wherein, the driver and passengers include passengers and / or drivers.

[0017] In one possible implementation, the processing module is further configured to: determine the degree of abnormality of the vehicle to be inspected based on one or more of the following: traffic information, operation information, and vehicle and personnel characteristic information; the traffic information is used to reflect the number of times each vehicle to be inspected passes through each inspection point; the operation information is used to reflect whether each vehicle to be inspected has the necessary operating qualifications; the vehicle and personnel characteristic information is used to reflect the mask-wearing rate of the occupants in each vehicle to be inspected; and identify vehicles to be inspected with an abnormality degree greater than or equal to a preset threshold as target vehicles.

[0018] Thirdly, this application provides an electronic device including a processor and a memory; the memory stores processor-executable instructions; when the processor is configured to execute the instructions, the electronic device implements the method described in the first aspect.

[0019] Fourthly, this application provides a computer program product that, when run in an electronic device, causes the electronic device to execute the methods related to the first aspect described above, thereby implementing the methods of the first aspect.

[0020] Fifthly, this application provides a readable storage medium comprising: software instructions; when the software instructions are executed in an electronic device, they cause the electronic device to implement the method described in the first aspect.

[0021] The beneficial effects of the second to fifth aspects mentioned above can be referred to the first aspect, and will not be repeated here. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a schematic diagram of the vehicle information display system provided in the embodiments of this application;

[0024] Figure 2 A schematic diagram illustrating the composition of the electronic device provided in the embodiments of this application;

[0025] Figure 3 This is one of the flowcharts illustrating the vehicle information display method provided in the embodiments of this application;

[0026] Figure 4 One of the schematic diagrams of a display page provided in an embodiment of this application;

[0027] Figure 5 A schematic diagram of an information display unit provided in an embodiment of this application;

[0028] Figure 6 This is a second schematic flowchart illustrating the vehicle information display method provided in an embodiment of this application.

[0029] Figure 7 This application provides a schematic diagram of the deployment of an image acquisition device for a target road segment.

[0030] Figure 8 A second schematic diagram of a display page provided in an embodiment of this application;

[0031] Figure 9 This is a schematic diagram illustrating the composition of a display device provided in an embodiment of this application. Detailed Implementation

[0032] To enable those skilled in the art to better understand the technical solutions of this application, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings.

[0033] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0034] Furthermore, in the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The term "and / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, in the description of the embodiments of this application, "multiple" refers to two or more.

[0035] As mentioned in the background section, current technologies for identifying unusual vehicles primarily rely on manual on-site checks. Traffic management personnel typically set up roadblocks on main roads to inspect passing vehicles. For example, they may require vehicles to present relevant documents and then use those documents to access vehicle information.

[0036] However, this screening method requires a large investment of manpower and resources, and yields very little benefit, resulting in poor screening effectiveness.

[0037] Based on this, embodiments of this application provide a vehicle information display method, device, equipment, and storage medium, which can assist users in identifying abnormal vehicles by displaying vehicle image information captured by checkpoints and the time distribution pattern of vehicles passing through checkpoints, thereby saving manpower and resources and improving the identification effect.

[0038] The vehicle information display method provided in the embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0039] The vehicle information display method provided in this application embodiment can be applied to vehicle information display systems. Figure 1 A schematic diagram of one structure of the vehicle information display system is shown. For example... Figure 1 As shown, the vehicle information display system includes an image acquisition device 100 and a display device 200. The image acquisition device 100 and the display device 200 can be connected via a wired network or a wireless network.

[0040] The image acquisition device 100 can be used to acquire images of vehicles.

[0041] The image acquisition device 100 can be a camera or network camera (IPC) installed on both sides of the road.

[0042] In some embodiments, the image acquisition device 100 can also be used to send the acquired images to the display device 200.

[0043] As described above, the image acquisition device 100 and the display device 200 can be connected via a wired network or a wireless network. This wired or wireless network may include one or more media or devices capable of transmitting image data from the image acquisition device 100 to the display device 200.

[0044] In some embodiments, the wired or wireless network may include one or more communication media that enable the image acquisition device 100 to transmit image data directly to the display device 200 in real time. In this embodiment, the image acquisition device 100 may modulate the image data according to a communication standard (e.g., a wireless communication protocol) and transmit the modulated image data to the display device 200. The one or more communication media may include wireless and / or wired communication media, such as radio frequency (RF) spectrum or one or more physical transmission lines. Optionally, the one or more communication media may form part of a packet-based network, such as a local area network (LAN), a wide area network (WAN), or a global network (e.g., the Internet). Optionally, the one or more communication media may also include routers, switches, base stations, or other devices that facilitate communication between the image acquisition device 100 and the display device 200.

[0045] The display device 200 can be used to generate a display page based on the vehicle image acquired by the image acquisition device 100 for user reference. The specific recognition process can be referred to the vehicle information display method described in the following method embodiments, and will not be repeated here.

[0046] The display device 200 can be an electronic device with computing processing capabilities, such as a computer or server. The display device 200 includes at least a display or screen with display functionality.

[0047] The server can be a single server or a server cluster consisting of multiple servers. In some embodiments, the server cluster can also be a distributed cluster. Optionally, the server can also be implemented on a cloud platform, such as a private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, inter-cloud, and multi-cloud, or any combination thereof. This application does not impose any limitations on this.

[0048] It should be noted that the above Figure 1 The example described uses the image acquisition device 100 and the display device 200 as independent devices. Optionally, the image acquisition device 100 and the display device 200 can also be combined into one device. For example, the image acquisition device 100 or its corresponding functions, and the display device 200 or its corresponding functions can be integrated into one device. This application does not limit this.

[0049] The vehicle information display method provided in this application embodiment can be executed by the aforementioned display device 200. As described above, the display device 200 can be an electronic device with computing processing capabilities, such as a computer or server. Optionally, the display device 200 can also be a processor (e.g., a central processing unit (CPU)) in the aforementioned electronic device; or, the display device 200 can also be an application (APP) with passenger behavior detection function installed in the aforementioned electronic device; or, the display device 200 can also be a functional module with passenger behavior detection function in the aforementioned electronic device, etc. This application embodiment does not impose any limitations on this.

[0050] For simplicity, the following description will use the display device 200 as an example of an electronic device.

[0051] Figure 2 This is a schematic diagram illustrating the composition of an electronic device provided in an embodiment of this application. For example... Figure 2 As shown, the electronic device may include: a processor 10, a memory 20, a communication line 30, a communication interface 40, and an input / output interface 50.

[0052] The processor 10, memory 20, communication interface 40, and input / output interface 50 can be connected via communication line 30.

[0053] The processor 10 is used to execute instructions stored in the memory 20 to implement the vehicle information display method provided in the following embodiments of this application. The processor 10 can be a CPU, a network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller (MCU) / single-chip microcomputer / microcontroller, a programmable logic device (PLD), or any combination thereof. The processor 10 can also be any other device with processing capabilities, such as a circuit, device, or software module; this application embodiment does not limit this. In one example, the processor 10 may include one or more CPUs, for example... Figure 2 CPU0 and CPU1 in the example. As an optional implementation, the electronic device may include multiple processors; for example, in addition to processor 10, it may also include processor 60. Figure 2 (The example shown is a dashed line).

[0054] The memory 20 is used to store instructions. For example, the instructions may be computer programs. Optionally, the memory 20 may be a read-only memory (ROM) or other types of static storage devices that can store static information and / or instructions; it may also be a random access memory (RAM) or other types of dynamic storage devices that can store information and / or instructions; it may also be an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media, or other magnetic storage devices, etc. The embodiments of this application do not limit this.

[0055] It should be noted that the memory 20 can exist independently of the processor 10 or it can be integrated with the processor 10. The memory 20 can be located inside or outside the electronic device, and this application embodiment does not impose any restrictions on this.

[0056] Communication line 30 is used to transmit information between the components included in the electronic device.

[0057] The communication interface 40 is used to communicate with other devices (such as the image acquisition device 100 described above) or other communication networks. These other communication networks can be Ethernet, radio access network (RAN), wireless local area network (WLAN), etc. The communication interface 40 can be a module, circuit, transceiver, or any device capable of enabling communication.

[0058] Input / output interface 50 is used to enable human-computer interaction between users and electronic devices. For example, it enables action interaction or information exchange between users and electronic devices.

[0059] For example, the input / output interface 50 can be a mouse, keyboard, display screen, or touch screen. Action or information interaction between the user and the electronic device can be achieved through a mouse, keyboard, display screen, or touch screen.

[0060] It should be noted that, Figure 2 The structures shown do not constitute a limitation on electronic devices, except... Figure 2 In addition to the components shown, electronic devices may include more or fewer components than illustrated, or combinations of certain components, or different component arrangements.

[0061] The following describes the vehicle information display method provided in the embodiments of this application.

[0062] Figure 3 This is a flowchart illustrating the vehicle information display method provided in an embodiment of this application. Optionally, this method can be implemented by a person having the above-described... Figure 2 The electronic device with the hardware structure shown performs, such as Figure 3 As shown, the method includes S101 to S103.

[0063] S101. Obtain the detection information of the target vehicle.

[0064] The detection information includes multiple detection images captured when the target vehicle passes through the first detection point at different times within the first detection period. For example, the detection information includes multiple detection images captured when the target vehicle passes through the first detection point at different times within the first detection period. The first detection period can be any preset period, and the first detection point can also be any detection point. This application embodiment does not limit the first detection period or the first detection point.

[0065] As one possible implementation, the electronic device acquires multiple detection images taken when the target vehicle passes through the first detection point during the first detection period, thereby obtaining the detection information of the target vehicle.

[0066] For example, an electronic device can acquire detection images of a target vehicle passing through the first detection point during a first detection period from an image acquisition device deployed at the first detection point.

[0067] It should be noted that the target vehicle can be predetermined by electronic devices, or it can be determined by other devices and then sent to the electronic devices. The degree of anomaly can be used as a measure of the need for vehicle screening. For example, the higher the degree of anomaly of a vehicle, the more necessary it is to screen that vehicle, and therefore the more urgent the need to display its vehicle information.

[0068] S102. Based on multiple detection images in the detection information, generate a display page corresponding to the target vehicle.

[0069] The display page includes multiple information display units; the detection image corresponding to one information display unit includes the vehicle shape image and license plate image of the target vehicle at a given moment.

[0070] As one possible implementation, the electronic device can determine the capture time of each detected image, sort multiple information display units according to the chronological order of the capture times of each detected image, and display these information display units on the display page in the sorted order.

[0071] In some embodiments, the detected image corresponding to an information display unit also includes facial images of the driver and passengers. The display page also includes at least one of the following prompts: the number of times the driver and passengers of the target vehicle wore masks within a preset time period, the mask wearing rate of the driver and passengers of the target vehicle within a preset time period, and the number of passenger changes in the target vehicle within a preset time period; wherein, the driver and passengers include passengers and / or drivers.

[0072] S103. Based on the detection time information of multiple detection images in the detection information, generate a time distribution map on the display page.

[0073] The time distribution chart is used to reflect the time distribution pattern of the target vehicle passing through the first detection point.

[0074] As one possible implementation, the electronic device can determine the detection date and detection time corresponding to each detection image in the detection time information, and map the detection date corresponding to each detection image to a preset date within a preset time period. Further, the electronic device maps the detection time corresponding to each detection image to a preset time segment within the preset time period, and generates a time distribution map based on the mapping relationship between each detection image and the preset date and preset time segment within the preset time period; the time distribution pattern is used to reflect the frequency of the target vehicle's occurrence on each preset date and in each preset time period within the preset time period.

[0075] For example, the electronic device can determine the shooting time corresponding to each detected image in the detection information, and the detection date corresponding to the shooting time within a preset time period, to obtain multiple sets of passage information for the target vehicle. Each set of passage information includes a shooting time and a detection date. Further, the electronic device maps the multiple sets of passage information onto a preset statistical chart to obtain a time distribution chart. The preset statistical chart reflects the number of times the target vehicle is photographed on each detection date, with different background colors for detection dates corresponding to different numbers of photographs.

[0076] It should be noted that the preset time period can be set in advance by maintenance personnel in the electronic equipment. For example, the preset time period can be one week, and the detection dates in the preset time period include Monday to Sunday.

[0077] For ease of understanding, such as Figure 4 The image shows a display page provided in an embodiment of this application. This display page includes multiple information display units and a time distribution graph. Each information display unit includes the name of a first detection point, the time the detection image was captured, an image of the target vehicle's exterior, an image of the target vehicle's license plate, and an image of the face of the passenger in the target vehicle's front seat. The time distribution graph is located in the right half of the display page. In this time distribution graph, a darker color indicates that the target vehicle passed through the first detection point more times on that detection date, and vice versa. For example, Figure 4 The darkest color at 12:00 noon each day from Monday to Friday indicates that the target vehicle passed through the first checkpoint the most times at that time.

[0078] in accordance with Figure 4 The displayed page shows how the passenger in the front seat of the target vehicle changes, as seen in the facial image of the passenger in each information display unit. Users can also determine basic information about the target vehicle using the vehicle's exterior and license plate images in each display unit. The time distribution chart provides a visual overview of the target vehicle's travel patterns. For example, if the target vehicle passes the first checkpoint at the same time every day, its commute time is relatively regular; if the time it passes the first checkpoint varies each day, its passage time is more random.

[0079] Understandably, vehicles used for commercial operations typically have frequently changing co-drivers, random order times, and no fixed commuting schedule, so a clear time pattern is not visible on the time distribution chart. Therefore, if a target vehicle exhibits these characteristics on the display page, users can use it as a target for investigation to promptly and accurately identify vehicles operating without the necessary qualifications (i.e., abnormal vehicles).

[0080] In some embodiments, for the convenience of the user, such as Figure 5 As shown, each information display unit also includes an image zoom control ( Figure 5 (Click to view larger image). In response to the user's click on the image zoom control of any information display unit, the electronic device will zoom in on the vehicle exterior image, license plate image, and passenger image in the corresponding information display unit.

[0081] The vehicle information display method provided in this application can acquire detection information of a target vehicle, thereby obtaining multiple detection images captured when the target vehicle passes through a first detection point at different times within a first detection period. Furthermore, based on the multiple detection images in the detection information, this application generates a display page corresponding to the target vehicle. The display page includes multiple information display units; the detection image corresponding to each information display unit includes an image of the target vehicle's exterior shape and a license plate image at a given time. Thus, this application can display the vehicle's exterior shape and license plate images at different times, allowing users to intuitively see the target vehicle's appearance and license plate. Furthermore, this application can also generate a time distribution map on the display page based on the detection time information of the multiple detection images in the detection information, so that users can understand the time distribution pattern of the target vehicle passing through the first detection point. In this way, users can determine whether the target vehicle is an abnormal vehicle based on the vehicle's appearance, license plate, and time distribution pattern. Compared with the current manual on-site inspection method, the vehicle information display method provided in this application embodiment facilitates the inspection of abnormal vehicles, saves manpower and resources, and improves the inspection effect.

[0082] In one design, in order to determine the target vehicle, such as Figure 6 As shown, the vehicle information display method provided in this application embodiment also includes:

[0083] S201. Determine the degree of abnormality of the vehicle to be inspected based on one or more of the vehicle's traffic information, operation information, and vehicle and personnel characteristic information.

[0084] The traffic information reflects the number of times each vehicle to be inspected passes through each inspection point. The operational information reflects whether each vehicle to be inspected has the necessary operational qualifications. The vehicle and personnel characteristic information reflects the mask-wearing rate of the occupants in each vehicle to be inspected.

[0085] One possible implementation involves generating multiple vehicle images from various detection points of the electronic device. Further, the electronic device uses image analysis technology to analyze the traffic information, operational information, and vehicle and personnel characteristics of each vehicle from these multiple images. Furthermore, the electronic device weights the traffic information, operational information, and vehicle and personnel characteristics of each vehicle to determine the degree of anomaly for each vehicle.

[0086] For example, if a vehicle to be tested does not have operating qualifications, has irregular traffic information, and has a high rate of mask wearing by passengers, then the degree of abnormality of the vehicle to be tested is relatively high.

[0087] In practical applications, maintenance personnel or traffic management departments typically deploy image acquisition devices on target road sections to collect vehicle information of passing vehicles. Electronic devices can acquire images of the vehicles to be detected from the image acquisition devices deployed on the target road sections. Each target road section corresponds to one detection point.

[0088] It should be noted that the target road segment can be a road segment with high traffic volume (such as traffic volume exceeding the preset threshold within a preset time) or high demand for transportation (such as the number of passengers exceeding the preset threshold within a preset time), such as station hubs (including railway stations, bus stations, and airports), urban main roads, shopping centers, etc.

[0089] Understandably, commercial vehicles typically pass through the target road segment far more often than private cars. Therefore, if a vehicle frequently passes through the target road segment, the electronic equipment can identify it as a vehicle to be detected.

[0090] like Figure 7 The diagram shows a deployment of image acquisition devices for a target road section. Image acquisition devices are installed at the entrances of the north and south departure ramps of the train station, respectively. These devices are used to photograph vehicles passing through the north and south departure ramps and record the time and number of times each vehicle passes.

[0091] S202. Electronic devices identify vehicles to be detected with an abnormality level greater than or equal to a preset threshold as target vehicles.

[0092] As one possible implementation, the electronic device compares the degree of abnormality of each vehicle to be detected with a preset threshold. If the degree of abnormality is greater than the preset threshold, the corresponding vehicle to be detected is identified as the target vehicle.

[0093] In one design, the display page also includes at least one of the following prompts: the number of times the driver and passengers of the target vehicle wore masks within a preset time period, the mask wearing rate of the driver and passengers of the target vehicle within a preset time period, the number of changes in the front passenger of the target vehicle within a preset time period, the license plate color of the target vehicle, the model of the target vehicle, or the price range of the target vehicle; wherein, the driver and passengers include the front passenger and / or the driver.

[0094] As one possible implementation, after identifying the vehicle to be detected as the target vehicle, the electronic device acquires the target vehicle's traffic information, operational information, and vehicle and occupant characteristic information. Based on this information, it displays on a screen the number of times the driver and passengers wear masks and the mask-wearing rate among the drivers and passengers. Furthermore, by analyzing the detected images of the target vehicle, the electronic device determines the number of changes in the front passenger, the color of the target vehicle's license plate, the vehicle model, or the price range of the target vehicle, and displays the analysis results.

[0095] Understandably, vehicles operating under these circumstances typically have license plates indicating they are new energy vehicles (green license plates), their prices are concentrated in the low-end model range, drivers and passengers wear masks more frequently, and the front passenger changes often. Therefore, the display page in this embodiment allows users to intuitively understand the above information.

[0096] In one design, the detection information also includes multiple detection images taken when the target vehicle passes through other detection points within a preset time period; the display page also includes a detection point selection control; the method further includes: based on the second detection point indicated by the detection point selection control, switching the display of multiple detection images corresponding to the second detection point, and the number of times the target vehicle is photographed when passing through each detection point.

[0097] It should be noted that the second detection point is any detection point other than the first detection point.

[0098] like Figure 8 As shown, users can select other detection points using the detection point selection control. In response to the user's selection, the electronic device designates the selected detection point as the second detection point and switches between displaying multiple detection images corresponding to that second detection point. Additionally, the electronic device can display the number of times the target vehicle was photographed as it passed each detection point, providing the user with information.

[0099] Understandably, if the information displayed at the current inspection point is insufficient to determine whether the target vehicle is operating without a license, users can switch to other inspection points to view the displayed information for the vehicle and make a comprehensive judgment on whether the vehicle is operating without a license.

[0100] In one design, the display page also includes a time period selection control. For any given detection display page, the user can set the time period to be queried in the time period selection control (typically, the entered time period is less than or equal to the total time period of the detection points). In response to the user's query time period entered in the time period selection control, the electronic device displays the detection images within the corresponding query time period on the display page.

[0101] In one design, the display page further includes a strategy selection control and a strategy time selection control; the method further includes: in response to the user's operation on the strategy selection control, determining the processing strategy for the target vehicle; and in response to the user's operation on the strategy time selection control, determining the duration corresponding to the processing strategy.

[0102] For example, such as Figure 8 As shown, the strategy selection control offers multiple processing strategies (also known as processing methods): add to the first list, add to the second list, and invalidate. The strategy time selection control includes multiple time periods: 3 months, 6 months, 12 months, and custom (meaning users can flexibly set the duration).

[0103] Understandably, if a user determines a vehicle to be an abnormal vehicle (such as one engaged in unlicensed operation) based on the information displayed on the page, they can choose to add the vehicle to the first list and set a duration for future investigation. If the user determines the vehicle to be a normal vehicle (such as a private car), they can choose to add it to the second list. If the user is still unable to determine whether a vehicle is abnormal based on the information displayed on the page, they can choose to cancel the addition and continue investigating other vehicles.

[0104] In some embodiments, if it is necessary to view and identify information about other vehicles, such as Figure 8 As shown, users can click the page display bar at the bottom of the displayed page to select another display page. Correspondingly, the electronic device updates the display page of the other vehicle in response to the user's click on the other display page.

[0105] In some embodiments, this application also provides a method for identifying abnormal vehicles. Optionally, this method can be performed by a person having the above-mentioned... Figure 2 The electronic device with the hardware structure shown executes the method, which includes steps S301 to S303.

[0106] S301. Obtain the operational information of the vehicle to be inspected.

[0107] Among them, operational information is used to characterize whether the vehicle under test has the necessary operational qualifications.

[0108] As one possible approach, electronic devices could retrieve operational information about the vehicle to be inspected from the traffic management department's database.

[0109] It should be noted that vehicles used for commercial purposes (such as taxis and ride-hailing vehicles) need to register their operating qualifications and report to the traffic management department. Therefore, the traffic management department's database stores the operating information of each vehicle.

[0110] For example, the electronic device can determine the license plate number of the vehicle to be inspected based on the vehicle image. Furthermore, by detecting the vehicle's license plate number, the electronic device can query the operational information of the vehicle to be inspected from the traffic management department's database to determine whether the vehicle to be inspected possesses the necessary operating qualifications.

[0111] For the vehicle to be detected, the electronic device can acquire vehicle information passing through the target road segment within a preset time period. This vehicle information includes multiple vehicles and their passage information; the passage information reflects the frequency with which vehicles pass through the target road segment within the preset time period. Further, based on the vehicle information, the electronic device determines the vehicle to be detected; the frequency of the vehicle to be detected is greater than or equal to a preset threshold.

[0112] In some embodiments, the vehicle to be detected can be a vehicle that passes through the target road segment more than or equal to a preset number of times within a preset time period. The electronic device acquires vehicle information that passes through the target road segment within the preset time period, wherein the vehicle information includes multiple vehicles and the number of times each vehicle passes through. Further, the electronic device determines the vehicle to be detected based on the vehicle information.

[0113] For example, the electronic device can acquire vehicle information passing through the target road segment within a preset time period from an image acquisition device deployed on the target road segment, so as to determine the number of times each vehicle passes through the target road segment within the preset time period. The electronic device compares the number of times each vehicle passes with a preset number, and identifies vehicles with a number of passes greater than or equal to the preset number as vehicles to be detected.

[0114] It should be noted that the target road segment is a pre-set road segment. For example, it can be a road segment with high traffic volume (such as traffic volume exceeding a preset threshold within a preset time) or high travel demand (such as the number of passengers exceeding a preset threshold within a preset time), such as station hubs (including train stations, bus stations, and airports), urban main roads, shopping centers, etc.

[0115] Understandably, commercial vehicles typically pass through the target road segment far more often than private cars. Therefore, if a vehicle frequently passes through the target road segment, the electronic equipment can identify it as a vehicle to be detected.

[0116] In practical applications, maintenance personnel or traffic management departments usually deploy image acquisition devices on target road sections to collect vehicle information of passing vehicles.

[0117] Image acquisition devices are installed at the entrances of the north and south departure ramps of the railway station. These devices are used to photograph vehicles passing through the north and south departure ramps and record the time and number of times each vehicle passes through.

[0118] The image acquisition device captures images of vehicles passing through the target road segment in real time and records the number of times each vehicle passes. When the number of times any vehicle passes is greater than or equal to a preset number, the image acquisition device sends the vehicle image to the electronic device. Accordingly, the electronic device receives the vehicle image sent by the image acquisition device and identifies the vehicle corresponding to the image image as the vehicle to be detected.

[0119] In other embodiments, the electronic device may identify vehicles with a number of days that have passed greater than or equal to a preset number of days as vehicles to be detected; or, identify vehicles with a ratio between the number of days that have passed and the number of days corresponding to a preset time period as vehicles to be detected; or, identify vehicles with a number of passes greater than or equal to a preset number of passes as vehicles to be detected; or, identify vehicles with a number of days that have passed greater than or equal to a preset number of passes and a number of passes greater than or equal to a preset number of passes as vehicles to be detected.

[0120] The determination of the vehicle to be detected in this application embodiment is not limited to the target road segment. If the vehicle also meets the above judgment logic in other scenarios, the vehicle can also be determined as the vehicle to be detected.

[0121] S302. When the vehicle to be tested does not have the necessary operating qualifications, determine the mask-wearing rate for that vehicle.

[0122] The mask-wearing rate reflects the frequency with which drivers or passengers in the vehicle being tested wear masks within a preset time period. For example, the mask-wearing rate could be the mask-wearing rate of the driver, or the mask-wearing rate of both the driver and passengers.

[0123] As one possible implementation, when the vehicle to be inspected lacks operational qualifications, the electronic equipment acquires multiple images of the vehicle within a preset time period, and identifies a target image from these multiple images. The target image shows the driver wearing a mask, or the driver wearing a mask and a passenger wearing a mask, or a passenger wearing a mask. Further, the electronic equipment determines the number of multiple images and the number of target images, and based on these numbers, determines the mask-wearing rate.

[0124] For example, the electronic device can determine the number of multiple detection images and the number of target detection images. Among these, the target detection images may show a driver wearing a mask, a driver wearing a mask and a passenger wearing a mask, or a passenger wearing a mask. Further, the electronic device determines the mask-wearing rate as the ratio between the number of target detection images and the number of multiple detection images.

[0125] In another example, the electronic device weights the number of target detection images and the number of multiple detection images, and determines the mask wearing rate by the ratio between the weighted number of target detection images and the number of multiple detection images.

[0126] It should be noted that after acquiring multiple detection images, the electronic device can use image analysis technology to analyze whether the occupants of the vehicle are wearing masks. The occupants include the driver and front passenger of the vehicle being detected. The target detection image can be an image of the driver wearing a mask, an image of the front passenger wearing a mask, or an image of both the driver and front passenger wearing masks.

[0127] In some embodiments, if the vehicle to be tested has the necessary operating qualifications, the electronic device will identify the vehicle to be tested as a normal vehicle.

[0128] S303. If the mask wearing rate is greater than or equal to the reference threshold, the vehicle to be tested will be identified as an abnormal vehicle.

[0129] It should be noted that the reference threshold can be preset by the maintenance personnel and stored in the electronic device, or it can be determined by the electronic device. This application embodiment does not limit this.

[0130] In some embodiments, to obtain a reference threshold, the electronic device can acquire the mask-wearing rate of occupants in operating vehicles within a preset geographical area and determine the mask-wearing rate of occupants in operating vehicles as the reference threshold. Here, the target road segment is located within the preset geographical area, and the operating vehicles are vehicles with operating qualifications.

[0131] Understandably, the mask-wearing rate of passengers in vehicles operating within a preset area reflects the overall mask-wearing rate of vehicles operating in that area. Therefore, electronic devices can determine the mask-wearing rate of passengers in operating vehicles as a reference threshold and use this reference threshold as a basis for measuring the mask-wearing rate of the vehicles to be tested.

[0132] The electronic device can acquire the number of operating vehicles within a preset area and the mask-wearing information of the occupants of each vehicle. This mask-wearing information indicates whether the occupants of the operating vehicles are wearing masks. Furthermore, based on the number of operating vehicles within the preset area and the mask-wearing information of the occupants of each vehicle, the electronic device determines the mask-wearing rate of the occupants of the operating vehicles within the preset area.

[0133] For example, if 60% of drivers of operating vehicles in a certain preset area wear masks, then electronic devices can use 60% as a reference threshold.

[0134] Understandably, to obtain the overall mask-wearing rate of operating vehicles in a local area, electronic devices need to know the total number of operating vehicles in the area and whether the passengers in each vehicle are wearing masks. Electronic devices can calculate the mask-wearing rate of passengers in operating vehicles within a preset area by using the number of operating vehicles in the preset area and the mask-wearing information of the passengers in each vehicle.

[0135] In some embodiments, the electronic device may also obtain the mask-wearing rate of passengers in operating vehicles passing through the target road segment within a preset time period, and determine the mask-wearing rate of passengers in operating vehicles as a reference threshold.

[0136] In other embodiments, the reference threshold can also be set by maintenance personnel according to the actual situation and stored in the electronic device.

[0137] In practical applications, there are differences between commercial vehicles (regardless of whether they have operating qualifications) and non-commercial vehicles. For example, commercial vehicles have a higher number of passengers than non-commercial vehicles, and relevant departments require commercial vehicles to wear masks, resulting in a higher mask-wearing rate among passengers in commercial vehicles compared to non-commercial vehicles.

[0138] For example, such as Figure 5 The first image shows a detection image of a commercial vehicle captured by an image acquisition device. In this image, both the driver and passengers are wearing masks. The second image shows a detection image of a private car captured by the same image acquisition device. In this image, neither the driver nor the passengers are wearing masks.

[0139] Images captured by the image acquisition device show that drivers and passengers in commercial vehicles have a higher rate of mask-wearing. However, other private cars or patrol vehicles, whose occupants are usually colleagues or family members, have a lower mask-wearing rate compared to commercial vehicles.

[0140] As one possible implementation, the electronic device compares the mask-wearing rate of the vehicle under test with a reference threshold. If the mask-wearing rate is greater than or equal to the reference threshold, the vehicle is identified as an abnormal vehicle. If the mask-wearing rate is less than the reference threshold, the vehicle is identified as a normal vehicle.

[0141] The electronic device queries the operational information of the vehicle to be inspected. If the vehicle has an operating permit, the electronic device identifies it as a normal vehicle and ends the identification process. If the vehicle does not have an operating permit, the electronic device analyzes the mask-wearing rate of the driver and passengers to obtain the mask-wearing rate of the vehicle. Further, the electronic device determines whether the mask-wearing rate of the vehicle to be inspected is greater than or equal to the mask-wearing rate of operating vehicles. If the mask-wearing rate of the vehicle to be inspected is greater than or equal to that of operating vehicles, the vehicle to be inspected is identified as an abnormal vehicle; otherwise, it is identified as a normal vehicle.

[0142] The foregoing primarily describes the solutions provided by the embodiments of this application from a methodological perspective. To achieve the aforementioned functions, it includes corresponding hardware structures and / or software modules for executing each function. Those skilled in the art should readily recognize that, in conjunction with the units and algorithm steps of the various examples described in the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0143] In an exemplary embodiment, this application also provides a display device. Figure 9 This is a schematic diagram illustrating the composition of a display device provided in an embodiment of this application. Figure 9 As shown, the display device includes an acquisition module 301 and a processing module 302.

[0144] The acquisition module 301 is used to acquire the detection information of the target vehicle; the detection information includes multiple detection images taken when the target vehicle passes through the first detection point at different times during the first detection period; the processing module 302 is used to generate a display page corresponding to the target vehicle based on the multiple detection images in the detection information; the display page includes multiple information display units; the detection image corresponding to one information display unit includes the vehicle shape image and license plate image of the target vehicle at a certain time; the processing module 302 is also used to generate a time distribution map on the display page based on the detection time information of the multiple detection images in the detection information; the time distribution map is used to reflect the time distribution pattern of the target vehicle passing through the first detection point.

[0145] In one possible implementation, the processing module 302 is specifically used to: determine the detection date and detection time corresponding to each detection image in the detection time information; map the detection date corresponding to each detection image to a preset date within a preset time period; map the detection time corresponding to each detection image to a preset time segment within the preset time period; and generate a time distribution map based on the mapping relationship between each detection image and the preset date and preset time segment within the preset time period; the time distribution pattern is used to reflect the frequency of the target vehicle appearing on each preset date and in each preset time period within the preset time period.

[0146] In one possible implementation, on the time distribution map, preset time segments within a preset date are displayed with corresponding background colors or symbols, and different background colors or different symbols indicate that the target vehicles appear at different frequencies.

[0147] In one possible implementation, the display page also includes the number of times the target vehicle is photographed at the first detection point and the number of times it is photographed at other detection points; the detection information also includes multiple detection images of the target vehicle when it passes through other detection points within a preset time period; the display page also includes a detection point selection control; the processing module 302 is further configured to: switch the display page of the target vehicle corresponding to the second detection point based on the second detection point indicated by the detection point selection control.

[0148] In one possible implementation, the detected image corresponding to an information display unit also includes facial images of the driver and passengers; the display page also includes at least one of the following prompts: the number of times the driver and passengers of the target vehicle wore masks within a preset time period, the mask wearing rate of the driver and passengers of the target vehicle within a preset time period, and the number of passenger changes in the target vehicle within a preset time period; wherein, the driver and passengers include passengers and / or drivers.

[0149] In one possible implementation, the processing module 302 is further configured to: determine the degree of abnormality of the vehicle to be tested based on one or more of the vehicle's traffic information, operation information, and vehicle and personnel characteristic information; the traffic information is used to reflect the number of times each vehicle to be tested passes through each detection point; the operation information is used to reflect whether each vehicle to be tested has the necessary operating qualifications; the vehicle and personnel characteristic information is used to reflect the mask-wearing rate of the occupants in each vehicle to be tested; and identify vehicles to be tested with an abnormality degree greater than or equal to a preset threshold as target vehicles.

[0150] It should be noted that, Figure 9 The module division shown is illustrative and represents only one logical functional division; in actual implementation, other division methods are possible. For example, two or more functions can be integrated into a single processing module. These integrated modules can be implemented in hardware or as software functional units.

[0151] In an exemplary embodiment, this application also provides a readable storage medium including software instructions that, when run on an electronic device, cause the electronic device to perform any of the methods provided in the above embodiments.

[0152] In an exemplary embodiment, this application also provides a computer program product containing computer execution instructions, which, when run on an electronic device, causes the electronic device to perform any of the methods provided in the above embodiments.

[0153] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented using software programs, implementation can be, in whole or in part, in the form of a computer program product. This computer program product includes one or more computer-executable instructions. When these computer-executable instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer-executable instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer-executable instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device containing one or more servers, data centers, etc., that can be integrated with the medium. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state disks, SSDs).

[0154] Although this application has been described herein in conjunction with various embodiments, those skilled in the art, by reviewing the accompanying drawings, disclosure, and appended claims, will understand and implement other variations of the disclosed embodiments in carrying out the claimed application. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude multiple instances. A single processor or other unit can implement several functions listed in the claims. While different dependent claims may recite certain measures, this does not mean that these measures cannot be combined to produce good results.

[0155] Although this application has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made thereto without departing from the spirit and scope of this application. Accordingly, this specification and drawings are merely exemplary illustrations of this application as defined by the appended claims, and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from the spirit and scope of this application. Thus, if such modifications and modifications of this application fall within the scope of the claims of this application and their equivalents, this application is also intended to include such modifications and modifications.

[0156] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for displaying vehicle information, characterized in that, The method includes: In the case where the vehicle to be tested does not have the necessary operating qualifications, the mask wearing rate of the vehicle to be tested is determined. The vehicle to be tested is a vehicle whose frequency of passing through the target road segment within a preset time period is greater than or equal to a preset threshold. The mask wearing rate is used to reflect the frequency of the driver or passengers in the vehicle to be tested wearing masks within a preset time period. If the mask wearing rate is greater than or equal to a reference threshold, the vehicle to be tested is identified as the target vehicle. Acquire detection information of the target vehicle; the detection information includes multiple detection images taken when the target vehicle passes through the first detection point at different times within a first detection period; the first detection period is any preset period. Based on the multiple detection images in the detection information, a display page corresponding to the target vehicle is generated; the display page includes multiple information display units; the detection image corresponding to one information display unit includes a vehicle exterior image of the target vehicle at a certain moment and a license plate image of the target vehicle; the display page also includes at least one of the following prompts: the number of times the driver and passengers of the target vehicle wore masks within the preset time period, and the mask wearing rate of the driver and passengers of the target vehicle within the preset time period; wherein, the driver and passengers include passengers and / or drivers; Based on the detection time information of the multiple detection images in the detection information, a time distribution map is generated on the display page; the time distribution map is used to reflect the time distribution pattern of the target vehicle passing through the first detection point; Multiple information display units on the display page are used to display detection images taken at multiple detection times within any preset time period of a preset date in the time distribution chart; The step of generating a time distribution map on the display page based on the detection time information of the multiple detection images in the detection information includes: Determine the detection date and detection time corresponding to each detected image in the detection time information; Map the detection date corresponding to each detected image to a preset date within a preset time period; Map the detection time corresponding to each detected image to a preset time period on a preset date within the preset time period; The time distribution map is generated based on the mapping relationship between each detected image and the preset date and preset time period within the preset time period; the time distribution pattern is used to reflect the frequency of the target vehicle appearing on each preset date and each preset time period within the preset time period; on the time distribution map, the preset time period within the preset date is displayed with a background color or symbol, and different background colors or different symbols indicate different frequencies of the target vehicle appearing.

2. The method according to claim 1, characterized in that, The display page also includes the number of times the target vehicle was photographed at the first detection point and the number of times it was photographed at other detection points; the detection information also includes multiple detection images taken when the target vehicle passed through other detection points within a preset time period; the display page also includes a detection point selection control; the method further includes: Based on the second detection point indicated by the detection point selection control, the display page of the target vehicle corresponding to the second detection point is switched.

3. The method according to claim 1, characterized in that, The detected image corresponding to one of the information display units also includes the facial image of the driver and passengers; The display page also includes the following prompt: the number of passenger changes in the target vehicle within the preset time period.

4. The method according to any one of claims 1-3, characterized in that, The method further includes: The degree of abnormality of the vehicle to be inspected is determined based on one or more of the following: traffic information, operation information, and vehicle and personnel characteristic information. The traffic information reflects the number of times each vehicle to be inspected passes through each inspection point. The operation information reflects whether each vehicle to be inspected has the necessary operating qualifications. The vehicle and personnel characteristic information reflects the mask-wearing rate of the occupants in each vehicle to be inspected. Vehicles whose anomaly level is greater than or equal to the preset threshold are identified as target vehicles.

5. A vehicle information display device, characterized in that, The device includes a determining module, an acquiring module, and a processing module; The determining module is used to determine the mask wearing rate of the vehicle to be tested when the vehicle to be tested does not have the operating qualifications. The vehicle to be tested is a vehicle whose frequency of passing through the target road segment within a preset time period is greater than or equal to a preset threshold. The mask wearing rate is used to reflect the frequency of the driver or passengers in the vehicle to be tested wearing masks within a preset time period. If the mask wearing rate is greater than or equal to a reference threshold, the vehicle to be tested is identified as the target vehicle. The acquisition module is used to acquire the detection information of the target vehicle; the detection information includes multiple detection images taken when the target vehicle passes through the first detection point at different times within the first detection period; the first detection period is any preset period. The processing module is used to generate a display page corresponding to the target vehicle based on the multiple detection images in the detection information; the display page includes multiple information display units; the detection image corresponding to one information display unit includes a vehicle exterior image of the target vehicle at a certain moment and a license plate image of the target vehicle; the display page also includes at least one of the following prompts: the number of times the driver and passengers of the target vehicle wore masks within the preset time period, and the mask wearing rate of the driver and passengers of the target vehicle within the preset time period; wherein, the driver and passengers include passengers and / or drivers; The processing module is further configured to generate a time distribution map on the display page based on the detection time information of the plurality of detection images in the detection information; the time distribution map is used to reflect the time distribution pattern of the target vehicle passing through the first detection point; Multiple information display units on the display page are used to display detection images taken at multiple detection times within any preset time period of a preset date in the time distribution chart; The processing module is specifically used for: Determine the detection date and detection time corresponding to each detected image in the detection time information; Map the detection date corresponding to each detected image to a preset date within a preset time period; Map the detection time corresponding to each detected image to a preset time period on a preset date within the preset time period; The time distribution map is generated based on the mapping relationship between each detected image and the preset date and preset time period within the preset time period; the time distribution pattern is used to reflect the frequency of the target vehicle appearing on each preset date and each preset time period within the preset time period; on the time distribution map, the preset time period within the preset date is displayed with a background color or symbol, and different background colors or different symbols indicate different frequencies of the target vehicle appearing.

6. The apparatus according to claim 5, characterized in that, The processing module is specifically used for: The display page also includes the number of times the target vehicle was photographed at the first detection point and the number of times it was photographed at other detection points; the detection information also includes multiple detection images taken when the target vehicle passed through other detection points within a preset time period; the display page also includes a detection point selection control; the processing module is further used for: Based on the second detection point indicated by the detection point selection control, switch the display page of the target vehicle corresponding to the second detection point; The detected image corresponding to one of the information display units also includes the facial image of the driver and passengers; The display page also includes the following prompt: the number of passenger changes in the target vehicle within the preset time period; The processing module is also used for: The degree of abnormality of the vehicle to be inspected is determined based on one or more of the following: traffic information, operation information, and vehicle and personnel characteristic information. The traffic information reflects the number of times each vehicle to be inspected passes through each inspection point. The operation information reflects whether each vehicle to be inspected has the necessary operating qualifications. The vehicle and personnel characteristic information reflects the mask-wearing rate of the occupants in each vehicle to be inspected. Vehicles whose anomaly level is greater than or equal to the preset threshold are identified as target vehicles.

7. An electronic device, characterized in that, include: Processor and memory; The memory stores instructions that the processor can execute; When the processor is configured to execute the instructions, the electronic device performs the method as described in any one of claims 1-4.

8. A computer-readable storage medium, characterized in that, The readable storage medium includes: software instructions; When the software instructions are executed in an electronic device, the electronic device causes the electronic device to perform the method as described in any one of claims 1-4.

Images