A camera edge computing method and device

By using edge computing methods based on cameras, combined with image recognition and wireless beamforming technology, vehicle location and license plate information are obtained and verified against electronic tags. This solves the problem of accuracy in identifying the authenticity of vehicle license plates under complex road conditions and enables rapid and accurate identification of multiple vehicles.

CN113408395BActive Publication Date: 2025-11-04AISINO CORPORATION
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Patent Information

Application Number
CN202110660586.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2021-06-15
Publication Date
2025-11-04
Estimated Expiration
2041-06-15

AI Technical Summary

Technical Problem

Existing technologies struggle to accurately identify the authenticity of vehicle license plates under complex road conditions, especially the problem of cloned license plates for the same vehicle model and misjudgments caused by fixed radio frequency identification areas.

Method used

By employing edge computing with cameras, the system acquires vehicle location and license plate information through image recognition, controls the wireless beam signal to point at the vehicle body, establishes a communication connection with the electronic tag, acquires and verifies the license plate number information, and achieves consistency verification to determine the authenticity of the vehicle's identity.

Benefits of technology

It enables rapid and accurate identification of license plates of multiple vehicles under complex road conditions, avoiding misjudgments caused by fixed radio frequency identification areas, and improving identification efficiency and accuracy.

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Patent Text Reader

Abstract

The application discloses a kind of camera edge computing method and device, method includes: the area image of including multiple vehicles in target traffic area is obtained, based on area image, the vehicle image of each vehicle in target traffic area is obtained, respectively confirm the position information of each vehicle in target traffic area in area image, the positioning information of each vehicle is obtained;Based on the vehicle image of each vehicle, the license plate image corresponding to each vehicle image is obtained, based on the license plate image of target vehicle, the first license plate number information of target vehicle is obtained;Based on the positioning information of target vehicle, by controlling wireless beam signal direction and tracking the body of target vehicle, communication connection with the electronic tag of target vehicle is established, the second license plate number information recorded in the electronic tag of target vehicle is obtained;First license plate number information and second license plate number information are carried out consistency verification, according to the result of verification determines the authenticity of vehicle identity.
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Description

Technical Field

[0001] This invention relates to the field of vehicle identification technology, and more specifically, to a camera edge computing method and apparatus. Background Technology

[0002] Vehicle license plates are the "identity cards" of vehicles. Some people install "fake plates" or "cloned plates" on their vehicles for their own selfish interests. Their illegal behavior seriously disrupts the order of vehicle license plate management and road traffic order.

[0003] Currently, there are several conventional methods for addressing fake and cloned license plates, but all have limitations. Method 1 relies solely on image recognition technology. For example, it can identify fake and cloned plates by matching license plate numbers with vehicle models and body colors, but it cannot identify cloned plates of the same vehicle model. Method 2 uses a dual-base recognition method based on both image recognition and radio frequency identification (RFID). This method compares the license plate number obtained from image recognition with the license plate information from RFID-enabled electronic tags to verify authenticity. Method 2 is advanced, but due to the radiation characteristics of the antennas used in current RFID technology, the RFID area is fixed. In complex road conditions, such as congestion, following other vehicles, or cutting in line causing multiple vehicles to be present in the recognition area, the electronic tag information and image recognition information may differ, leading to misjudgments.

[0004] Therefore, overcoming the limitations of the above-mentioned technical solutions and efficiently and accurately identifying the authenticity of vehicle license plates is one of the urgent technical problems to be solved. Summary of the Invention

[0005] The present invention provides a camera edge computing method and device to solve the problem of how to accurately identify the authenticity of a vehicle based on vehicle image localization.

[0006] To address the above problems, this invention provides a camera edge calculation method, the method comprising:

[0007] Obtain an area image containing multiple vehicles within the target passage area; based on the area image, obtain a vehicle image for each vehicle within the target passage area; confirm the location information of each vehicle in the area image within the target passage area; and obtain the positioning information of each vehicle.

[0008] Based on the vehicle image of each vehicle, obtain the license plate image corresponding to each vehicle image; based on the license plate image of the target vehicle, obtain the first license plate number information of the target vehicle.

[0009] Based on the target vehicle's location information, by controlling the wireless beam signal to point to and track the target vehicle's body, a communication connection with the target vehicle's electronic tag is established, and the second license plate number information recorded on the target vehicle's electronic tag is obtained.

[0010] The consistency of the first license plate number information and the second license plate number information is verified, and the authenticity of the vehicle identity is determined based on the verification result.

[0011] Preferably, an area image including multiple vehicles within the target passage area is acquired using a single camera or a camera matrix.

[0012] Preferably, confirming the location information of each vehicle in the area image within the target traffic area includes:

[0013] Obtain the regional pixel features and location parameters of the region image;

[0014] Obtain the pixel features of the vehicle image for each vehicle within the target passage area;

[0015] Based on the correspondence between the pixel features of each vehicle's image and the regional pixel features of the region image, the position parameters of each vehicle's image are determined, and the position information of each vehicle's image in the target passage area is obtained.

[0016] Preferably, the step of controlling the wireless beam signal to point at and track the body of the target vehicle further includes:

[0017] The initial wireless beam signal is synthesized by multiple antenna elements of the phased array antenna module;

[0018] By changing the phase of the antenna unit signal connected to each digital phase shifter through multiple digital phase shifters in the phase shifter array, the wireless beam signal is synthesized, and the direction of the synthesized wireless beam signal is controlled based on the positioning information of the target vehicle.

[0019] The synthesized wireless beam signal is processed by the radio frequency signal processing module, including gain control, data modulation, and data demodulation; and the processed digital wireless beam signal is converted into an analog wireless beam signal.

[0020] Preferably, the phased array antenna module includes an antenna array, and the adjustment range for the direction of the wireless beam signal is: 10 meters to 30 meters in the longitudinal direction and within 12 meters in the transverse direction.

[0021] Preferably, it further includes:

[0022] The location information, time information, vehicle image, license plate image, and license plate number information of the target vehicle are stored.

[0023] The system queries the location, time, and license plate number information of the target vehicle.

[0024] Preferably, the method further includes: the target vehicle is multiple vehicles;

[0025] The wireless beam signals pointing to different target vehicles have different communication channel frequencies than the multiple communication connections of the electronic tag.

[0026] According to another aspect of the present invention, the present invention provides a camera edge computing device, the device comprising:

[0027] An initial unit is used to acquire an area image including multiple vehicles within a target passage area, acquire a vehicle image of each vehicle within the target passage area based on the area image, confirm the location information of each vehicle in the area image within the target passage area, and acquire the positioning information of each vehicle.

[0028] The first acquisition unit is used to acquire the license plate image corresponding to each vehicle image based on the vehicle image of each vehicle, and to acquire the first license plate number information of the target vehicle based on the license plate image of the target vehicle.

[0029] The second acquisition unit is used to establish a communication connection with the electronic tag of the target vehicle based on the positioning information of the target vehicle by controlling the wireless beam signal to point to and track the body of the target vehicle, and to acquire the second license plate number information recorded on the electronic tag of the target vehicle.

[0030] The result unit is used to verify the consistency between the first license plate number information and the second license plate number information, and determine the authenticity of the vehicle identity based on the verification result.

[0031] Preferably, the initial unit is further configured to acquire an area image of multiple vehicles within the target passage area using a single camera or a camera matrix.

[0032] Preferably, the initial unit is used to confirm the location information of each vehicle in the area image within the target traffic area, and is further used to:

[0033] Obtain the regional pixel features and location parameters of the region image;

[0034] Obtain the pixel features of the vehicle image for each vehicle within the target passage area;

[0035] Based on the correspondence between the pixel features of each vehicle's image and the regional pixel features of the region image, the position parameters of each vehicle's image are determined, and the position information of each vehicle's image in the target passage area is obtained.

[0036] Preferably, the second acquisition unit is used to control the wireless beam signal to point to and track the body of the target vehicle, and is further used to:

[0037] The initial wireless beam signal is synthesized by multiple antenna elements of the phased array antenna module;

[0038] By changing the phase of the antenna unit signal connected to each digital phase shifter through multiple digital phase shifters in the phase shifter array, the wireless beam signal is synthesized, and the direction of the synthesized wireless beam signal is controlled based on the positioning information of the target vehicle.

[0039] The synthesized wireless beam signal is processed by the radio frequency signal processing module, including gain control, data modulation, and data demodulation; and the processed digital wireless beam signal is converted into an analog wireless beam signal.

[0040] Preferably, the phased array antenna module includes an antenna array, and the adjustment range for the direction of the wireless beam signal is: 10 meters to 30 meters in the longitudinal direction and within 12 meters in the transverse direction.

[0041] Preferably, it further includes a retrieval unit for:

[0042] The location information, time information, vehicle image, license plate image, and license plate number information of the target vehicle are stored.

[0043] The system queries the location, time, and license plate number information of the target vehicle.

[0044] Preferably, the method further includes: the target vehicle is multiple vehicles;

[0045] The wireless beam signals pointing to different target vehicles have different communication channel frequencies than the multiple communication connections of the electronic tag.

[0046] This invention provides a camera edge computing method and apparatus. The method includes: acquiring a region image including multiple vehicles within a target traffic area; acquiring a vehicle image of each vehicle within the target traffic area; confirming the location information of each vehicle in the region image within the target traffic area; acquiring the positioning information of each vehicle; acquiring a license plate image corresponding to each vehicle image; acquiring the first license plate number information of the target vehicle based on the license plate image of the target vehicle; establishing a communication connection with the electronic tag of the target vehicle by controlling a wireless beam signal to point to and track the vehicle body based on the positioning information of the target vehicle; acquiring the second license plate number information recorded on the electronic tag of the target vehicle; verifying the consistency of the first license plate number information and the second license plate number information; and determining the authenticity of the vehicle identity based on the verification result. This invention achieves rapid and accurate identification of the authenticity of multiple vehicle license plates under complex road conditions by comparing and verifying the same vehicle license plate information with the electronic tag license plate information. Attached Figure Description

[0047] Exemplary embodiments of the present invention can be more fully understood by referring to the following figures:

[0048] Figure 1 This is a flowchart of a camera edge calculation method according to a preferred embodiment of the present invention;

[0049] Figure 2 This is a flowchart illustrating a vehicle identification method according to a preferred embodiment of the present invention.

[0050] Figure 3 This is a basic block diagram of a camera edge computing device according to a preferred embodiment of the present invention;

[0051] Figure 4 This is a functional block diagram of the first module according to a preferred embodiment of the present invention;

[0052] Figure 5 This is a functional block diagram of the second module according to a preferred embodiment of the present invention;

[0053] Figure 6 A functional block diagram of the third module according to a preferred embodiment of the present invention; and

[0054] Figure 7 This is a structural diagram of a camera edge computing device according to a preferred embodiment of the present invention. Detailed Implementation

[0055] Exemplary embodiments of the invention will now be described with reference to the accompanying drawings. However, the invention may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided to fully and completely disclose the invention and to fully convey its scope to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the drawings is not intended to limit the invention. In the drawings, the same units / elements are referred to by the same reference numerals.

[0056] Unless otherwise stated, the terms used herein (including technical terms) have their common meaning as understood by one of ordinary skill in the art. Furthermore, it is understood that terms defined in commonly used dictionaries should be understood to have a meaning consistent with the context of their relevant field, and not to be interpreted as having an idealized or overly formal meaning.

[0057] Figure 1 This is a flowchart of a camera edge computing method according to a preferred embodiment of the present invention. The present invention employs the following method to identify the authenticity of vehicle license plates: acquiring images within a traffic area; acquiring images of all vehicles to be identified within the area and the location information of each vehicle within the area based on the images; determining the vehicle license plate affixed to the vehicle body; and obtaining the vehicle license plate information through image recognition technology.

[0058] Based on radio frequency identification (RFID) technology, the system controls the direction of wireless beams to track the vehicle's body area according to its location within the region. Uplink frequency information is sent to an electronic tag attached to the vehicle's body, establishing a communication connection. Then, a license plate number query command is sent to the electronic tag, and the system receives the license plate information returned by the tag. The electronic tag serves as the vehicle identification identifier. Multiple wireless beams may be used, each uniquely corresponding to the tracked vehicle, employing parallel communication with adjacent beams using different downlink frequencies.

[0059] By comparing and verifying the consistency of the license plate information returned by the electronic tag with the vehicle license plate information obtained through image recognition, the authenticity of the vehicle's license plate can be identified.

[0060] like Figure 1 As shown, the present invention provides a camera edge calculation method, the method comprising:

[0061] Step 101: Obtain an area image of multiple vehicles within the target passage area; based on the area image, obtain a vehicle image of each vehicle within the target passage area; confirm the location information of each vehicle in the area image within the target passage area; and obtain the positioning information of each vehicle. Preferably, the area image of multiple vehicles within the target passage area is obtained through a single camera or a camera matrix.

[0062] Preferably, the location information of each vehicle in the regional image within the target traffic area is confirmed, including:

[0063] Obtain the regional pixel features and location parameters of the region image;

[0064] Obtain the pixel features of the vehicle image for each vehicle within the target passage area;

[0065] Based on the correspondence between the pixel features of each vehicle's image and the regional pixel features of the regional image, the position parameters of each vehicle's image are determined, and the position information of each vehicle's image in the target passage area is obtained.

[0066] This invention acquires images within a passage area. In specific implementations, the sensor used to acquire the image of the passage area can be a single camera or a camera matrix, ensuring that the image recognition area completely covers the passage area of ​​the vehicle to be identified; this function is similar to... Figure 3 Corresponding to the function of the image acquisition module, the circuit implementation uses a 9-megapixel global exposure CMOS image sensor.

[0067] This invention obtains images of all vehicles to be identified within a region and the location information of each vehicle within the region based on images within that region.

[0068] This invention obtains a vehicle license plate image based on a vehicle image. For example... Figure 4 As shown, the first image processing module is used to recognize vehicle images; the fourth image processing module is used to recognize vehicle locations; the second image processing module is used to recognize license plate images; and the third image processing module is used to recognize vehicle license plate information.

[0069] The vehicle location identification of the present invention is based on pre-calculated image pixel position parameters, and vehicle image localization is achieved according to the pixel area corresponding to the vehicle body image.

[0070] Step 102: Obtain the license plate image corresponding to each vehicle image based on the vehicle image of each vehicle, and obtain the first license plate number information of the target vehicle based on the license plate image of the target vehicle;

[0071] This invention identifies vehicle license plate information based on vehicle license plate images.

[0072] In this invention, acquiring vehicle images and the location information of each vehicle in the area, acquiring license plate images, and identifying vehicle license plate information are all achieved through... Figure 3 The first processing module in the process is completed. The first processing module uses a DSP (Digital Signal Processor) as the main processor and uses pattern recognition algorithms to recognize vehicle images, vehicle location information, license plate images and vehicle license plate information.

[0073] Step 103: Based on the target vehicle's location information, by controlling the wireless beam signal to point to and track the target vehicle's body, establish a communication connection with the target vehicle's electronic tag and obtain the second license plate number information recorded on the target vehicle's electronic tag.

[0074] Preferably, by controlling the wireless beam signal to point at and track the body of the target vehicle, the method further includes:

[0075] The initial wireless beam signal is synthesized by multiple antenna elements of the phased array antenna module;

[0076] By changing the phase of the antenna unit signal connected to each digital phase shifter through multiple digital phase shifters in the phase shifter array, the wireless beam signal is synthesized, and the direction of the synthesized wireless beam signal is controlled based on the positioning information of the target vehicle.

[0077] The synthesized wireless beam signal is processed by the radio frequency signal processing module, including gain control, data modulation, and data demodulation; and the processed digital wireless beam signal is converted into an analog wireless beam signal.

[0078] Preferably, the phased array antenna module includes an antenna array, and the adjustment range for the direction of the wireless beam signal is: 10 meters to 30 meters in the longitudinal direction and within 12 meters in the lateral direction.

[0079] This invention is based on radio frequency identification (RFID) technology. It controls the direction of a wireless beam to track the vehicle's body area based on the vehicle's location within a region. This step is functionally provided by… Figure 3 The second processing module, consisting of the phased array antenna module, phase shifter array, and RF signal processing module, works collaboratively. This second processing module uses an FPGA (Field-Programmable Gate Array) as its main processor and can be divided into four functional units, such as... Figure 5As shown, these are the beamforming and scanning control unit, baseband data processing unit, electronic tag information recognition unit, and vehicle license plate authenticity verification unit, respectively. The phase-shifting parameter matrix is ​​a fundamental parameter description for controlling antenna pointing. It is related to the number and spatial arrangement of antenna elements in the phased array antenna module, as well as the performance parameters of the RF signal processing module. It was determined through preliminary simulations and is related to the actual installation height and angle of the equipment. The phase-shifting parameter matrix stores the signal phase values ​​of all antenna elements corresponding to the wireless beam pointing, as well as the control and adjustment of parameters such as gain and carrier frequency of the relevant RF processing circuits in the RF processing module. Figure 5 The beamforming and scanning control unit is used to control the phase shifter array and the radio frequency signal processing unit according to the phase shift parameters.

[0080] This invention sends uplink frequency information to an electronic tag installed on the vehicle body to be identified and establishes a communication connection. This invention also sends a license plate number query command to the electronic tag and receives the license plate information returned by the electronic tag. These two steps achieve the same functionality as... Figure 5 The baseband data processing unit and the electronic tag information recognition unit in the middle correspond to each other.

[0081] Baseband data processing unit and Figure 3 The radio frequency signal processing module is connected to the electronic tag, which is used to encode, decode, and encrypt / decrypt communication data. The electronic tag information identification unit is used to acquire electronic license plate information from the electronic tag according to the actual communication protocol.

[0082] In this invention, the phased array antenna module uses an antenna array that can achieve continuous beam pointing adjustment within a longitudinal range of 10 to 30 meters and a lateral range of 12 meters.

[0083] In this invention, the radio frequency signal processing module has three sets of radio frequency transceiver processing circuits, which can realize parallel processing of three-beam wireless communication.

[0084] Step 104: Verify the consistency between the first license plate number information and the second license plate number information, and determine the authenticity of the vehicle identity based on the verification result.

[0085] This invention identifies the authenticity of the vehicle's license plate by comparing and verifying the consistency of the license plate information returned by the acquired electronic tag with the vehicle license plate information obtained through image recognition. This function is accomplished by the vehicle license plate authenticity identification unit in the second processing module.

[0086] Preferably, it further includes:

[0087] The location information, time information, vehicle image, license plate image, and license plate number information of the target vehicle are stored.

[0088] The system queries the location, time, and license plate number information of the target vehicle.

[0089] Preferably, the target vehicle includes multiple vehicles;

[0090] The wireless beam signals pointing to different target vehicles have different communication channel frequencies than the multiple communication connections of the electronic tag.

[0091] This invention has a third processing module, which is connected to the first and second modules, such as... Figure 6 As shown, it includes a main control unit, a rich media data storage unit, a rich media data management unit, and a network communication unit. The main control unit adopts a dual-core Cortex A9 architecture processor. The rich media data storage unit realizes location information, time information, image information of the vehicle to be identified, video stream information, license plate image, and license plate information after image recognition. Except for image information and video stream information, other data information can be used as data query indexes.

[0092] The data management and communication module enables the management of rich media data and connects the device to the vehicle management platform of the vehicle management office, allowing for data querying and remote sharing.

[0093] The first processing module of this invention can not only acquire license plate images, but also acquire the vehicle's position information within a predetermined range based on a specific range and the correspondence between image pixels. Furthermore, it generates a position matrix queue of all vehicles within the range.

[0094] This invention features a phased array antenna module and a phase shifter array, and has wireless beamforming and beam vehicle tracking functions.

[0095] The present invention controls the wireless beam to point and track the vehicle area based on the position of each vehicle in the area obtained by the first processing module.

[0096] The communication channel frequencies of adjacent wireless beams and vehicle-mounted electronic tags in this invention are different, which avoids identification errors caused by air link data collisions during the communication process between the device and multiple tags.

[0097] This invention identifies the authenticity of license plates by comparing the license plate information of the same vehicle with the license plate information of the electronic tag, and has the ability to identify multiple vehicles in parallel.

[0098] This invention relates to a device comprising a satellite positioning module and a rich media storage and management unit. The rich media data storage unit stores location information, time information, image information of the vehicle to be identified, video stream information, license plate image, and license plate information after image recognition. Except for the image information and video stream information, the other data can be used as a data query index. The data management and communication module manages the rich media data and connects the device to the vehicle management platform of the vehicle management office, enabling data querying and remote sharing.

[0099] In this invention, all data collection and result determination are completed on the data source side. The license plate authenticity identification process does not require cloud-based control. By adopting multi-channel image recognition and multi-channel beam tracking electronic tag radio frequency parallel identification technology, the problems existing in the above-mentioned existing identification methods are solved. By comparing and verifying the license plate information of the same vehicle with the electronic tag license plate information, the authenticity of multiple vehicle license plates under complex road conditions can be quickly and accurately identified.

[0100] Figure 7 This is a structural diagram of a camera edge computing device according to a preferred embodiment of the present invention.

[0101] like Figure 7 As shown, the present invention provides a camera edge computing device, the device comprising:

[0102] The initial unit 701 is used to acquire a region image including multiple vehicles within the target passage area, acquire a vehicle image of each vehicle within the target passage area based on the region image, confirm the location information of each vehicle in the region image within the target passage area, and acquire the positioning information of each vehicle.

[0103] Preferably, the initial unit 701 is further configured to acquire an area image of multiple vehicles within the target passage area using a single camera or a camera matrix.

[0104] Preferably, the initial unit 701 is used to confirm the location information of each vehicle in the area image within the target traffic area, and is also used to:

[0105] Obtain the regional pixel features and location parameters of the region image;

[0106] Obtain the pixel features of the vehicle image for each vehicle within the target passage area;

[0107] Based on the correspondence between the pixel features of each vehicle's image and the regional pixel features of the regional image, the position parameters of each vehicle's image are determined, and the position information of each vehicle's image in the target passage area is obtained.

[0108] This invention acquires images within a specific range of a vehicle traffic area. A first processing module performs pattern recognition on the acquired images to obtain vehicle body images. Based on the vehicle body images, it acquires license plate images located on the vehicle bodies and identifies license plate information. Furthermore, based on a pre-defined correspondence between a specific range and image pixels, it acquires the vehicle's position information within that range. Finally, it generates a position matrix queue of all vehicle bodies within the range.

[0109] The first acquisition unit 702 is used to acquire the license plate image corresponding to each vehicle image based on the vehicle image of each vehicle, and to acquire the first license plate number information of the target vehicle based on the license plate image of the target vehicle.

[0110] The second acquisition unit 703 is used to establish a communication connection with the electronic tag of the target vehicle based on the positioning information of the target vehicle by controlling the wireless beam signal to point to and track the body of the target vehicle, and to acquire the second license plate number information recorded on the electronic tag of the target vehicle.

[0111] The phased array antenna module of the present invention consists of several antenna elements and is used for wireless beamforming to complete the function of radio frequency signal transmission and reception.

[0112] The phase shifter array of the present invention consists of several digitally controlled phase shifters. Each phase shifter is connected to an antenna element and is used to change the signal phase loaded onto the antenna element in the phased array antenna module in order to realize the synthesis and pointing control of the wireless beam.

[0113] The radio frequency signal processing module of the present invention is connected to a phase shifter array and is used to realize signal gain control, data modulation, demodulation, and conversion between digital signals and analog signals.

[0114] The second processing module of this invention is connected to the first processing module, the phase shifter array, and the radio frequency signal processing module. Its function is to control the phase shifter module to change the wireless beam direction of the phased array antenna module based on the vehicle position matrix queue data obtained from the first processing module and the phase shifting parameter matrix, so that it tracks the vehicle body range of the vehicle to be identified. It should be noted that there are multiple wireless beams. The radio frequency signal processing module completes the communication function with the electronic tag on the vehicle body to be identified, thereby completing the license plate information recognition function of the electronic tag.

[0115] Preferably, the second acquisition unit 703 is used to control the wireless beam signal to point to and track the body of the target vehicle, and is also used to:

[0116] The initial wireless beam signal is synthesized by multiple antenna elements of the phased array antenna module;

[0117] By changing the phase of the antenna unit signal connected to each digital phase shifter through multiple digital phase shifters in the phase shifter array, the wireless beam signal is synthesized, and the direction of the synthesized wireless beam signal is controlled based on the positioning information of the target vehicle.

[0118] The synthesized wireless beam signal is processed by the radio frequency signal processing module, including gain control, data modulation, and data demodulation; and the processed digital wireless beam signal is converted into an analog wireless beam signal.

[0119] Preferably, the phased array antenna module includes an antenna array, and the adjustment range for the direction of the wireless beam signal is: 10 meters to 30 meters in the longitudinal direction and within 12 meters in the lateral direction.

[0120] Result unit 704 is used to verify the consistency of the first license plate number information and the second license plate number information, and to determine the authenticity of the vehicle identity based on the verification result.

[0121] Preferably, the device further includes a retrieval unit for:

[0122] The location information, time information, vehicle image, license plate image, and license plate number information of the target vehicle are stored.

[0123] The system queries the location, time, and license plate number information of the target vehicle.

[0124] The third processing module of this invention is connected to the second processing module, acquires the recognition results and evidence information generated by the second module, obtains the device's location and time information through a satellite positioning module, and the main control unit manages the rich media data and communicates and shares it with the vehicle management platform. The rich media data storage unit stores location information, time information, image information of the vehicle to be identified, video stream information, license plate image, and license plate information after image recognition. Except for image information and video stream information, other data information can be used as a data query index. The data management and communication module manages the rich media data and connects the device to the vehicle management platform of the vehicle management office, enabling data query and remote sharing.

[0125] Preferably, the target vehicle includes multiple vehicles;

[0126] The wireless beam signals pointing to different target vehicles have different communication channel frequencies than the multiple communication connections of the electronic tag.

[0127] The camera edge computing device 700 of the preferred embodiment of the present invention corresponds to the camera edge computing method 100 of the preferred embodiment of the present invention, and will not be described in detail here.

[0128] The invention has been described with reference to a few embodiments. However, as will be known to those skilled in the art, and as defined in the appended claims, other embodiments besides those disclosed above fall equivalently within the scope of the invention.

[0129] Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless otherwise expressly defined herein. All references to “a / / the [device, component, etc.]” ​​are openly interpreted as at least one instance of the device, component, etc., unless otherwise expressly stated. The steps of any method disclosed herein are not necessarily to be performed in the exact order disclosed, unless explicitly stated otherwise.

Claims

1. A method for edge computing of a camera, the method comprising: Acquiring an area image containing multiple vehicles within a target passage area includes: acquiring an area image containing multiple vehicles within the target passage area using a single camera or a camera matrix; based on the area image, acquiring a vehicle image of each vehicle within the target passage area, confirming the location information of each vehicle in the area image within the target passage area, and acquiring the positioning information of each vehicle; the step of confirming the location information of each vehicle in the area image within the target passage area includes: Obtain the regional pixel features and location parameters of the region image; Obtain the pixel features of the vehicle image for each vehicle within the target passage area; Based on the correspondence between the pixel features of each vehicle's image and the regional pixel features of the region image, the position parameters of each vehicle's image are determined, and the position information of each vehicle's image in the target passage area is obtained. Based on the vehicle image of each vehicle, obtain the license plate image corresponding to each vehicle image; based on the license plate image of the target vehicle, obtain the first license plate number information of the target vehicle. Based on the location information of the target vehicle, the method involves controlling a wireless beam signal to point at and track the body of the target vehicle, including: the target vehicle being multiple vehicles; the wireless beam signal pointing at different target vehicles having different communication channel frequencies with multiple communication connections of the electronic tag; establishing a communication connection with the electronic tag of the target vehicle to obtain the second license plate number information recorded on the electronic tag of the target vehicle; the method of controlling the wireless beam signal to point at and track the body of the target vehicle also includes: The initial wireless beam signal is synthesized by multiple antenna elements of the phased array antenna module; By changing the phase of the antenna unit signal connected to each digital phase shifter through multiple digital phase shifters in the phase shifter array, the wireless beam signal is synthesized, and the direction of the synthesized wireless beam signal is controlled based on the positioning information of the target vehicle. The synthesized wireless beam signal is processed by the radio frequency signal processing module, including gain control, data modulation and data demodulation; and the processed digital wireless beam signal is converted into an analog wireless beam signal. The consistency of the first license plate number information and the second license plate number information is verified, and the authenticity of the vehicle identity is determined based on the verification result.

2. The method according to claim 1, wherein the phased array antenna module includes an antenna array, and the adjustment range for the direction of the wireless beam signal is: 10 meters to 30 meters in the longitudinal direction and within 12 meters in the transverse direction.

3. The method according to claim 1, further comprising: The location information, time information, vehicle image, license plate image, and license plate number information of the target vehicle are stored. The system queries the location, time, and license plate number information of the target vehicle.

4. A camera edge computing device, the device comprising: An initial unit is configured to acquire an area image including multiple vehicles within a target passage area, acquire a vehicle image for each vehicle within the target passage area based on the area image, confirm the location information of each vehicle in the area image within the target passage area, and acquire the positioning information of each vehicle; the initial unit is further configured to: confirm the location information of each vehicle in the area image within the target passage area, and also to: Obtain the regional pixel features and location parameters of the region image; Obtain the pixel features of the vehicle image for each vehicle within the target passage area; Based on the correspondence between the pixel features of each vehicle's image and the regional pixel features of the regional image, the position parameters of each vehicle's image are determined, and the position information of each vehicle's image in the target passage area is obtained; the initial unit is also used to obtain regional images of multiple vehicles in the target passage area through a single camera or a camera matrix. The first acquisition unit is used to acquire the license plate image corresponding to each vehicle image based on the vehicle image of each vehicle, and to acquire the first license plate number information of the target vehicle based on the license plate image of the target vehicle. The second acquisition unit is configured to, based on the location information of the target vehicle, control a wireless beam signal to point towards and track the body of the target vehicle, including: the target vehicle being multiple vehicles; the wireless beam signal pointing towards different target vehicles having different communication channel frequencies with multiple communication connections of the electronic tag; establishing a communication connection with the electronic tag of the target vehicle, and acquiring the second license plate number information recorded on the electronic tag of the target vehicle; the second acquisition unit is configured to, by controlling the wireless beam signal to point towards and track the body of the target vehicle, also be configured to: The initial wireless beam signal is synthesized by multiple antenna elements of the phased array antenna module; By changing the phase of the antenna unit signal connected to each digital phase shifter through multiple digital phase shifters in the phase shifter array, the wireless beam signal is synthesized, and the direction of the synthesized wireless beam signal is controlled based on the positioning information of the target vehicle. The synthesized wireless beam signal is processed by the radio frequency signal processing module, including gain control, data modulation and data demodulation; and the processed digital wireless beam signal is converted into an analog wireless beam signal. The result unit is used to verify the consistency between the first license plate number information and the second license plate number information, and determine the authenticity of the vehicle identity based on the verification result.

5. The device according to claim 4, wherein the phased array antenna module includes an antenna array, and the adjustment range for the direction of the wireless beam signal is: 10 meters to 30 meters in the longitudinal direction and within 12 meters in the transverse direction.

6. The apparatus according to claim 4, further comprising a retrieval unit, for: The location information, time information, vehicle image, license plate image, and license plate number information of the target vehicle are stored. The system queries the location, time, and license plate number information of the target vehicle.

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