A recognition system and method for electric bicycles without UWB electronic positioning license plates

Abstract

The present invention discloses a system and method for identifying electric bicycles that are not equipped with UWB electronic positioning license plates. Wireless communication between the on-board UWB electronic positioning license plate and a UWB detection and positioning base station determines the non-motor vehicle position coordinate one; a non-motor vehicle lane visual recognition system determines the non-motor vehicle position coordinate two through video images collected by a camera; a cloud-based analysis and calculation system obtains front-end uploaded data through the network, and the system compares coordinate positions one and two to identify the non-motor vehicle that is not equipped with the UWB electronic positioning license plate, marks it in the real-time video, and transmits it to the law enforcement terminal through the public network; traffic police conduct on-site inspections of electric bicycles that are not equipped with the on-board UWB electronic positioning license plate at intersections through the video displayed on the law enforcement terminal, effectively urge electric bicycle drivers to install electronic license plates, and put an end to the behavior of privately dismantling or destroying electronic license plates, thereby providing technical support for automatically judging illegal driving behaviors through the UWB positioning trajectory of electric bicycles.

Description

Technical Field

[0001] The present invention relates to the field of intelligent transportation technology and traffic control technology, and in particular to a system and method for recognizing an electric bicycle without a UWB electronic positioning license plate. Background Art

[0002] Currently, my country's cities at all levels have a large number of non-motorized vehicles, of which electric bicycles account for over 90%. Illegal driving behaviors such as running red lights, driving against traffic, and speeding are common among electric bicycle users. The resulting traffic accidents and congestion have become a persistent problem in urban development, but there is currently a lack of effective technical management measures to regulate non-motorized vehicle use.

[0003] Patent publication number CN111243272A uses ultra-high frequency RFID technology to set up RFID antennas in the detection area to identify non-motor vehicles equipped with RFID electronic license plates passing through the detection area, thereby generating vehicle trajectories and combining them with surveillance camera videos to determine whether there is standardized driving behavior.

[0004] Patent publication number CN112839300A uses UWB positioning technology to install 3-4 UWB base stations at intersections or specific areas. It can identify vehicles with UWB electronic tags in the area, obtain their location coordinates, draw trajectory data, and determine the vehicle's driving status, including whether it is driving within the lane range, and whether there is speeding, crossing the line, or changing lanes.

[0005] According to the technical solutions of the above two patents, UWB positioning technology is used to accurately track the position of the vehicle and generate a driving trajectory, thereby determining whether there is illegal driving behavior. It has the advantages of high accuracy, less front-end equipment, and easy deployment and implementation. However, the technical solutions of the above patents do not propose a detection and identification solution for vehicles that do not have UWB electronic positioning license plates installed. There will be a large number of behaviors that evade the installation or deliberately damage electronic positioning license plates. A large number of vehicles that do not have UWB electronic tags installed will still be illegally driven because traffic police cannot rely on technical means to inspect and control vehicles that do not have UWB electronic tags installed. Therefore, it is necessary to seek a technical solution and a complete management system for detecting whether a vehicle is equipped with a UWB electronic positioning license plate based on a vehicle driving behavior monitoring device based on UWB trajectory data. Summary of the Invention

[0006] The purpose of the present invention is to provide a system and method for identifying electric bicycles that are not equipped with UWB electronic positioning license plates, which are mainly used to identify whether electric bicycles are equipped with UWB electronic positioning license plates on specific road sections. Traffic police can use handheld terminals to inspect and manage electric bicycles and electric motorcycles that are not equipped with UWB electronic positioning license plates to solve the problems raised in the above background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] An identification system for electric bicycles without UWB electronic positioning license plates, comprising an on-board UWB electronic positioning license plate, a UWB detection and positioning base station, a non-motorized vehicle lane visual recognition system, a communication system, a cloud-based analysis and computing system, and an enforcement terminal;

[0009] The on-board UWB electronic positioning license plate and the UWB detection and positioning base station both contain an active UWB signal module based on the DWM1000 chip, and the on-board UWB electronic positioning license plate and the UWB detection and positioning base station are communicatively connected; a positioning coordinate system is established at the intersection, and four sets of UWB detection and positioning base stations are installed at each intersection. The UWB detection and positioning base stations are arranged on the traffic light poles, and the four sets of UWB detection and positioning base stations communicate with the on-board UWB electronic positioning license plate respectively to obtain four sets of ranging data. The four sets of UWB detection and positioning base stations aggregate the ranging information to one of the main base stations through wireless communication. A UWB positioning and computing embedded host is installed upstream of the main base station, and the four sets of ranging data are used to analyze and calculate the location coordinates of the on-board UWB electronic positioning license plate to complete the positioning. The positioning data of the vehicle identity information and time information are uploaded to the cloud analysis and computing system in real time through the communication system;

[0010] The non-motorized vehicle lane visual recognition system consists of a camera, a recognition host, a switch, and a camera mounting pole. The monitoring images collected by the camera are transmitted to the recognition host, which performs visual recognition on the video collected by the camera. The recognition host uploads the recognized video and the coordinate data of the marked points containing time information to the cloud analysis and computing system in real time.

[0011] The communication system is a communication chassis installed at the intersection, and the communication chassis 5 is connected to the traffic police dedicated network through a switch, and the data is uploaded to the cloud analysis and computing system through the traffic police dedicated network; the communication system can also be a 5G communication system installed at the intersection, and the UWB detection and positioning base station and the non-motorized vehicle lane visual recognition system are both connected to the 5G communication system through a switch, and the 5G communication system uploads the data to the cloud analysis and computing system through the public network;

[0012] The cloud analysis and computing system is deployed on a cloud server and obtains the front-end uploaded data through the public network or the traffic police dedicated network. The cloud analysis and computing system stores the recognized video uploaded by the non-motorized vehicle lane visual recognition system at the intersection;

[0013] The law enforcement terminal receives data from the cloud analysis and computing system in real time through the 5G network. The data is a real-time video image with a label of a license plate that is not equipped with an on-board UWB electronic positioning system. Traffic police conduct on-site inspections of electric bicycles that are not equipped with an on-board UWB electronic positioning license plate at intersections through the video displayed on the law enforcement terminal.

[0014] Furthermore, the on-board UWB electronic positioning license plate has an effective communication distance of 100m in open areas, a positioning accuracy of ±10cm, and a positioning frequency of 5Hz. Each on-board UWB electronic positioning license plate contains unique vehicle identity information. The on-board UWB electronic positioning license plate is installed under the front instrument panel of the electric bicycle and is powered by the vehicle itself.

[0015] Furthermore, the UWB detection and positioning base station has an effective communication distance of more than 150m in an open area, a positioning accuracy of ±10cm, a positioning frequency of 5Hz, and is powered by a signal light power supply.

[0016] Furthermore, the camera is installed at the entrance of the non-motorized vehicle lane at the intersection to capture video of the area 6m behind the stop line, and performs pixel-coordinate mapping calibration for each monitoring range, so that the visual positioning coordinate system and the UWB positioning coordinate system are synchronized and coordinated.

[0017] Furthermore, the recognition host uses the YOLOv5 algorithm to identify the electric bicycle. If the identified target stays in the recognition area for more than 3 seconds, a positioning point is marked at the front position of the vehicle, and the coordinates of the marked point are obtained using the pixel-coordinate mapping visual positioning algorithm, with a positioning frequency of 5Hz.

[0018] Furthermore, the cloud-based analysis and computing system first pre-processes the coordinates obtained by the non-motorized vehicle lane visual recognition system at the intersection and the coordinates obtained by the UWB positioning system. The processing method is to range the point coordinates in the X and Y directions by ±30cm to form a regional coordinate range of 60cm×60cm. The cloud-based analysis and computing system then performs an overlap operation on the two coordinate ranges:

[0019] When the UWB coordinate range and the visual recognition coordinate range overlap at the same time, it means that the vehicle is equipped with an on-board UWB electronic positioning license plate. The system then determines whether the vehicle has violated the driving rules based on the UWB positioning trajectory. If so, the system automatically generates a penalty based on the type of violation.

[0020] When the UWB positioning range does not appear within the visual recognition coordinate range at the same time point, it means that the vehicle at that position in the image is not equipped with an on-board UWB electronic positioning license plate. The system marks the vehicle in the recognized video uploaded by the non-motorized vehicle lane visual recognition system at the intersection, stores the marked video, and transmits the video to the law enforcement terminal in real time.

[0021] Furthermore, the law enforcement terminal is also equipped with a UWB base station module, which can be used to recheck on-site whether the vehicle is equipped with an on-board UWB electronic positioning license plate.

[0022] The present invention provides another technical solution: a method for identifying an electric bicycle without a UWB electronic positioning license plate installed, based on an identification system for an electric bicycle without a UWB electronic positioning license plate installed, comprising the following steps:

[0023] S1: Install a UWB electronic positioning license plate under the front instrument panel of the electric bicycle to communicate with the UWB detection and positioning base station;

[0024] S2: Install a set of UWB detection and positioning base stations on each traffic light pole at the intersection to establish a positioning coordinate system covering the intersection. This system is used to continuously and accurately locate electric bicycles equipped with on-board UWB electronic positioning license plates entering the intersection area, obtain positioning coordinate data, and upload the data information to the cloud analysis and computing system through the communication system;

[0025] S3: Install a non-motorized vehicle lane visual recognition system at the entrance to the non-motorized vehicle lane on each side of the intersection. The recognition host in the non-motorized vehicle lane visual recognition system is used to identify electric bicycles within the camera's monitoring coverage in the monitoring image and obtain the vehicle head position coordinates based on the visual positioning algorithm. The non-motorized vehicle lane visual recognition system uploads the recognized video, the extracted positioning information, and the time information to the cloud analysis and computing system via the communication system.

[0026] S4: The cloud-based analysis and calculation system first stores the data uploaded in the previous section, and then ranges the UWB positioning data and the visual positioning data respectively, so that the point coordinate data becomes the range coordinate data of 60cm╳60cm, and then the two range coordinate data are overlapped based on time. When the UWB coordinate range and the visual recognition coordinate range overlap at the same time point, it means that the vehicle is equipped with an on-board UWB electronic positioning license plate. The system then determines whether the vehicle has illegal driving behavior based on the UWB positioning trajectory. If so, the system automatically generates a penalty based on the type of violation. When the UWB positioning range does not appear within the visual recognition coordinate range at the same time point, it means that the vehicle at that position in the image is not equipped with an on-board UWB electronic positioning license plate. The system marks the vehicle in the recognized video uploaded by the non-motorized vehicle lane visual recognition system at the intersection, stores the marked video, and transmits the video to the law enforcement terminal in real time.

[0027] S5: Traffic police use handheld law enforcement terminals to receive data from the cloud analysis and computing system in real time through the 5G network. Traffic police use the video displayed on the law enforcement terminal to conduct on-site inspections of electric bicycles that are not equipped with on-board UWB electronic positioning license plates at intersections. At the same time, the law enforcement terminal is equipped with a UWB base station module, which can recheck whether the vehicle is equipped with an on-board UWB electronic positioning license plate to avoid errors caused by program errors.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] 1. The present invention provides a system and method for identifying electric bicycles that are not equipped with UWB electronic positioning license plates. Traffic police can use law enforcement terminals to conduct accurate inspections of electric bicycles that are not equipped with UWB electronic positioning license plates at designated intersections and implement control measures.

[0030] 2. The present invention provides a system and method for identifying electric bicycles that are not equipped with UWB electronic positioning license plates, which effectively increases the ratio of electric bicycles equipped with UWB electronic positioning license plates, enables effective control of electric bicycles by traffic police, and significantly reduces the probability of illegal driving of non-motor vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 FIG is an application example diagram of the system of the present invention;

[0032] Figure 2 Schematic diagram of the framework of the system of the present invention;

[0033] Figure 3 Schematic diagram of the process of the present invention.

[0034] In the figure: 1. UWB detection and positioning base station; 101. Vehicle-mounted UWB electronic positioning license plate; 103. UWB positioning and computing embedded host; 2. Camera; 3. Identification host; 4. Camera mounting pole; 5. Communication chassis; 6. Switch; 7. Cloud analysis and computing system; 8. Law enforcement terminal. DETAILED DESCRIPTION

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0036] See also Figure 1-2, an embodiment of the present invention provides an identification system for an electric bicycle without a UWB electronic positioning license plate, comprising a vehicle-mounted UWB electronic positioning license plate 101, a UWB detection and positioning base station 1, a non-motorized vehicle lane visual recognition system, a communication system, a cloud analysis and computing system 7, and a law enforcement terminal 8;

[0037] Among them, the on-board UWB electronic positioning license plate 101 contains an active UWB signal module based on the DWM1000 chip. The on-board UWB electronic positioning license plate 101 can communicate with the UWB detection and positioning base station 1 at the intersection. The effective communication distance in open areas is 100m, the positioning accuracy is ±10cm, and the positioning frequency is 5Hz. Each on-board UWB electronic positioning license plate 101 contains unique vehicle identity information. The on-board UWB electronic positioning license plate 101 is installed under the front instrument panel of the electric bicycle and is powered by the vehicle itself. It has the advantages of easy installation, high recognition, and high stability, and also has certain anti-dismantling and anti-destruction capabilities.

[0038] The UWB detection and positioning base station 1 in this embodiment contains an active UWB communication module based on the DWM1000 chip, which can communicate with the vehicle-mounted UWB electronic positioning license plate 101. The effective communication distance in open areas is more than 150m, the positioning accuracy is ±10cm, and the positioning frequency is 5Hz. Four sets of UWB detection and positioning base stations 1 are installed at each intersection and installed on the signal light pole, and are powered by the signal light power supply; a positioning coordinate system is established at the intersection, and the four sets of UWB detection and positioning base stations 1 communicate with the vehicle-mounted UWB electronic positioning license plate 101 respectively to obtain four sets of ranging data. The four sets of UWB detection and positioning base stations 1 aggregate the ranging information to one of the main base stations through wireless communication. A UWB positioning and calculation embedded host 103 is installed upstream of the main base station, and the four sets of ranging data are used to analyze and calculate the location coordinates of the vehicle-mounted UWB electronic positioning license plate 101 to complete the positioning. Among them, the positioning data of the vehicle identity information and time information are uploaded to the cloud analysis and calculation system 7 in real time through the communication system;

[0039] The non-motorized vehicle lane visual recognition system in this embodiment is composed of a camera 2, a recognition host 3, a switch 6, and a camera mounting pole 4 (an embedded smart camera with an integrated deep learning algorithm can also be used, and the recognition host is omitted). Camera 2 is installed at the entrance of the non-motorized vehicle lane at the intersection, and performs video capture of the 6m area behind the parking line, and performs pixel-coordinate mapping calibration on each monitoring range, so that the visual positioning coordinate system and the UWB positioning coordinate system are synchronized and coordinated. The monitoring image captured by camera 2 is transmitted to the recognition host 3, and the recognition host 3 performs visual recognition on the video captured by camera 2, and uses the YOLOv5 algorithm to identify the electric bicycle. If the identified target stays in the identification area for more than 3s, the positioning point is marked at the front position of the vehicle, and the pixel-coordinate mapping visual positioning algorithm is used to obtain the coordinates of the marked point. The positioning frequency is 5Hz, and the recognition host uploads the recognized video and the coordinate data of the marked point containing time information to the cloud analysis and computing system 7 in real time.

[0040] The communication systems in this embodiment are of two types according to needs: one is a 5G communication system installed at the intersection, the UWB detection and positioning base station 1 and the non-motorized vehicle lane visual recognition system are connected to the 5G communication system through the switch 6, and the 5G communication system uploads the data to the cloud analysis and computing system 7 through the public network; the other is a communication chassis 5 installed at the intersection, the communication chassis 5 is connected to the traffic police dedicated network through the switch 6, and the data is uploaded to the cloud analysis and computing system 7 through the traffic police dedicated network.

[0041] The cloud analysis and computing system 7 in this embodiment is deployed on a cloud server, and obtains the front-end uploaded data through the public network or the traffic police dedicated network. The cloud analysis and computing system 7 stores the recognized video uploaded by the non-motorized vehicle lane visual recognition system at the intersection. Since there are certain errors in both visual recognition positioning and UWB positioning, the cloud analysis and computing system 7 first pre-processes the coordinates obtained by the non-motorized vehicle lane visual recognition system at the intersection and the coordinates obtained by the UWB positioning system. The processing method is to range the point coordinates in the X and Y directions by ±30cm to form a regional coordinate range of 60cm×60cm. Then, the cloud analysis and computing system 7 performs a coincidence operation on the two coordinate ranges:

[0042] When the UWB coordinate range and the visual recognition coordinate range overlap at the same time, it means that the vehicle is equipped with an on-board UWB electronic positioning license plate 101. The system then determines whether the vehicle has violated the driving rules based on the UWB positioning trajectory. If so, the system automatically generates a penalty based on the violation type.

[0043] When the UWB positioning range does not appear within the visual recognition coordinate range at the same time point, it means that the vehicle at that position in the image is not equipped with the on-board UWB electronic positioning license plate 101. The system marks the vehicle in the recognized video uploaded by the non-motorized vehicle lane visual recognition system at the intersection, stores the marked video, and transmits the video to the law enforcement terminal 8 in real time.

[0044] The law enforcement terminal 8 receives data from the cloud analysis and computing system 7 in real time through the 5G network. The data is a real-time video image with a mark of the vehicle-mounted UWB electronic positioning license plate 101 not installed. The traffic police conduct on-site inspections of electric bicycles that are not equipped with the vehicle-mounted UWB electronic positioning license plate 101 at intersections through the video displayed on the law enforcement terminal 8. At the same time, the law enforcement terminal 8 is also equipped with a UWB base station module, which can be used to re-check on-site whether the vehicle is equipped with the vehicle-mounted UWB electronic positioning license plate 101.

[0045] like Figure 3 As shown: The present invention provides another technical solution: a method for identifying an electric bicycle without a UWB electronic positioning license plate installed, based on an identification system for an electric bicycle without a UWB electronic positioning license plate installed, comprising the following steps:

[0046] Step 1: Install a vehicle-mounted UWB electronic positioning license plate 101 under the front instrument panel of the electric bicycle, which contains the vehicle identity information and is used to communicate with the UWB detection and positioning base station 1;

[0047] Step 2: Install a set of UWB detection and positioning base stations 1 on each traffic light pole at the intersection to establish a positioning coordinate system covering the intersection. This is used to continuously and accurately locate electric bicycles equipped with on-board UWB electronic positioning license plates 101 that enter the intersection area, obtain positioning coordinate data, and the UWB positioning system uploads the vehicle identity information, positioning information, and time information to the cloud analysis and computing system 7 via the communication system.

[0048] Step 3: Install a non-motorized vehicle lane visual recognition system at the entrance non-motorized vehicle lanes on each direction of the intersection. The camera 2 of the non-motorized vehicle lane visual recognition system covers a range of approximately 6 meters behind the stop line. Pixel-coordinate mapping is performed on the monitoring range to synchronize its positioning coordinate system with the UWB positioning coordinate system. The recognition host 3 in the non-motorized vehicle lane visual recognition system is used to identify electric bicycles within the monitoring coverage of camera 2 in the monitoring image, and obtain the vehicle head position coordinates based on the visual positioning algorithm. The non-motorized vehicle lane visual recognition system uploads the recognized video, the positioning information extracted by recognition, and the time information to the cloud analysis and computing system 7 via the communication system;

[0049] Step 4: The cloud analysis and calculation system 7 first stores the data uploaded in the previous section, and then ranges the UWB positioning data and the visual positioning data respectively, so that the point coordinate data becomes the range coordinate data of 60cm╳60cm, and then the two range coordinate data are overlapped based on time. When the UWB coordinate range and the visual recognition coordinate range have overlapping parts at the same time point, it means that the vehicle is equipped with an on-board UWB electronic positioning license plate 101. The system then determines whether the vehicle has illegal driving behavior based on the UWB positioning trajectory. If so, the system automatically generates a penalty based on the type of violation; when the UWB positioning range does not appear within the visual recognition coordinate range at the same time point, it means that the vehicle at this position in the image is not equipped with an on-board UWB electronic positioning license plate 101. The system marks the vehicle in the recognized video uploaded by the non-motorized vehicle lane visual recognition system at the intersection, stores the marked video, and transmits the video to the law enforcement terminal 8 in real time;

[0050] Step 5: The traffic police's handheld law enforcement terminal 8 receives data from the cloud analysis and computing system 7 in real time through the 5G network. The data is a real-time video image with a mark of the vehicle-mounted UWB electronic positioning license plate 101 not installed. The traffic police conduct on-site inspections of electric bicycles that do not have the vehicle-mounted UWB electronic positioning license plate 101 installed at the intersection through the video displayed on the law enforcement terminal 8. At the same time, the law enforcement terminal 8 is equipped with a UWB base station module, which can check again whether the vehicle is equipped with the vehicle-mounted UWB electronic positioning license plate to avoid errors caused by program errors.

[0051] To sum up: the present invention provides a system and method for identifying electric bicycles without UWB electronic positioning license plates, which are mainly used to identify whether electric bicycles are equipped with on-board UWB electronic positioning license plates 101 on specific road sections. Traffic police can use handheld law enforcement terminals 8 to inspect and manage electric bicycles that are not equipped with on-board UWB electronic positioning license plates 101. Specifically, the non-motor vehicle position coordinate one is determined by wireless communication between the on-board UWB electronic positioning license plate and the UWB detection and positioning base station; the non-motor vehicle lane visual recognition system is composed of a camera, an identification host, a switch and a camera mounting pole, and can determine the non-motor vehicle position coordinate two through the video image collected by the camera; the cloud analysis and computing system is deployed on a cloud server, and obtains the front-end uploaded data through the public network or the traffic police dedicated network. The system compares coordinate positions one and two, identifies non-motor vehicles that are not equipped with UWB electronic positioning license plates, marks them in real-time video and transmits them to the law enforcement terminal through the public network; traffic police conduct on-site inspections of electric bicycles that are not equipped with on-board UWB electronic positioning license plates at intersections through the video displayed on the law enforcement terminal, greatly reducing the probability of illegal driving of non-motor vehicles.

[0052] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. A recognition system for electric bicycles without UWB electronic positioning license plates, characterized in that: It includes a vehicle-mounted UWB electronic positioning license plate (101), a UWB detection and positioning base station (1), a non-motorized vehicle lane visual recognition system, a communication system, a cloud-based analysis and computing system (7), and a law enforcement terminal (8); The vehicle-mounted UWB electronic positioning license plate (101) and the UWB detection and positioning base station (1) both contain active UWB signal modules based on the DWM1000 chip, and the vehicle-mounted UWB electronic positioning license plate (101) and the UWB detection and positioning base station (1) are connected in communication; a positioning coordinate system is established at the intersection, and four sets of UWB detection and positioning base stations (1) are installed at each intersection. The UWB detection and positioning base stations (1) are installed on the signal light pole. The four sets of UWB detection and positioning base stations (1) communicate with the vehicle-mounted UWB electronic positioning license plate (101) respectively to obtain four sets of distance measurement data. The four sets of UWB detection and positioning base stations (1) gather the distance measurement information to one of the main base stations through wireless communication. A UWB positioning calculation embedded host (103) is installed upstream of the main base station. The four sets of distance measurement data are used to analyze and calculate the position coordinates of the vehicle-mounted UWB electronic positioning license plate (101) to complete the positioning, wherein the positioning data of the vehicle identity information and time information are uploaded to the cloud analysis and calculation system (7) in real time through the communication system; The non-motorized vehicle lane visual recognition system is composed of a camera (2), a recognition host (3), a switch (6), and a camera mounting pole (4). The monitoring image captured by the camera (2) is transmitted to the recognition host (3). The recognition host (3) performs visual recognition on the video captured by the camera (2). The recognition host (3) uploads the recognized video and the coordinate data of the marked points containing time information to a cloud analysis and calculation system (7) in real time. The communication system is a communication box (5) installed at the intersection, the communication box (5) is connected to the traffic police dedicated network through a switch (6), and the data is uploaded to the cloud analysis and computing system (7) through the traffic police dedicated network; in addition, the communication system can also be a 5G communication system installed at the intersection, the UWB detection and positioning base station (1) and the non-motorized vehicle lane visual recognition system are both connected to the 5G communication system through the switch (6), and the 5G communication system uploads the data to the cloud analysis and computing system (7) through the public network; The cloud analysis and computing system (7) is deployed on a cloud server, and obtains the front-end uploaded data through the public network or the traffic police dedicated network. The cloud analysis and computing system (7) stores the recognized video uploaded by the non-motorized vehicle lane visual recognition system at the intersection; the cloud analysis and computing system (7) first pre-processes the coordinates obtained by the non-motorized vehicle lane visual recognition system at the intersection and the coordinates obtained by the UWB positioning system, and the processing method is to range the point coordinates in the X and Y directions by ±30cm to form a regional coordinate range of 60cm╳60cm, and then the cloud analysis and computing system (7) performs a coincidence operation on the two coordinate ranges: when at the same time point, If the UWB coordinate range and the visual recognition coordinate range overlap, it means that the vehicle is equipped with an on-board UWB electronic positioning license plate (101). The system then determines whether the vehicle has violated the driving rules based on the UWB positioning trajectory. If so, the system automatically generates a penalty based on the type of violation. If the UWB positioning range does not appear within the visual recognition coordinate range at the same time point, it means that the vehicle at that position in the image is not equipped with an on-board UWB electronic positioning license plate (101). The system marks the vehicle in the recognized video uploaded by the non-motorized vehicle lane visual recognition system at the intersection, stores the marked video, and transmits the video to the law enforcement terminal in real time (8). The law enforcement terminal (8) receives data from the cloud analysis and computing system (7) in real time via the 5G network. The data is a real-time video image with a label indicating that the vehicle-mounted UWB electronic positioning license plate (101) is not installed. Traffic police conduct on-site inspections of electric bicycles that are not equipped with the vehicle-mounted UWB electronic positioning license plate (101) at intersections through the video displayed on the law enforcement terminal (8).

2. The electric bicycle unmounted UWB electronic positioning license plate recognition system according to claim 1, characterized in that: The on-board UWB electronic positioning license plate (101) has an effective communication distance of 100m in an open area, a positioning accuracy of ±10cm, and a positioning frequency of 5Hz. Each on-board UWB electronic positioning license plate (101) contains unique vehicle identity information. The on-board UWB electronic positioning license plate (101) is installed below the front instrument panel of the electric bicycle and is powered by the vehicle itself.

3. The electric bicycle unmounted UWB electronic positioning license plate recognition system according to claim 1, characterized in that: The UWB detection and positioning base station (1) has an effective communication distance of more than 150m in an open area, a positioning accuracy of ±10cm, a positioning frequency of 5Hz, and is powered by a signal light power supply.

4. The electric bicycle unmounted UWB electronic positioning license plate recognition system according to claim 1, characterized in that: The camera (2) is installed at the entrance of the non-motorized vehicle lane at the intersection, and performs video capture of the area 6m behind the stop line, and performs pixel-coordinate mapping calibration for each monitoring range, so that the visual positioning coordinate system and the UWB positioning coordinate system are synchronized and coordinated.

5. The electric bicycle unmounted UWB electronic positioning license plate recognition system according to claim 1, characterized in that: The recognition host (3) uses the YOLOv5 algorithm to identify the electric bicycle. If the identified target stays in the recognition area for more than 3 seconds, a positioning point is marked at the front position of the vehicle, and the coordinates of the marked point are obtained using the pixel-coordinate mapping visual positioning algorithm. The positioning frequency is 5Hz.

6. The electric bicycle unmounted UWB electronic positioning license plate recognition system according to claim 1, characterized in that: The law enforcement terminal (8) is also equipped with a UWB base station module, which can be used to recheck on-site whether the vehicle is equipped with an on-board UWB electronic positioning license plate (101).

7. A method for identifying an electric bicycle without a UWB electronic positioning license plate, based on the electric bicycle without a UWB electronic positioning license plate recognition system according to any one of claims 1 to 6, characterized in that: The following steps are involved: S1: Installing an on-board UWB electronic positioning license plate (101) under the front instrument panel of the electric bicycle for communicating with the UWB detection and positioning base station (1); S2: Install a set of UWB detection and positioning base stations (1) on each signal light pole at the intersection to establish a positioning coordinate system covering the intersection, which is used to continuously and accurately locate electric bicycles equipped with on-board UWB electronic positioning license plates (101) entering the intersection area, obtain positioning coordinate data, and upload the data information to the cloud analysis and computing system (7) through the communication system; S3: A non-motorized vehicle lane visual recognition system is installed at the non-motorized vehicle lane entrances in each direction of the intersection. The recognition host (3) in the non-motorized vehicle lane visual recognition system is used to identify the electric bicycle within the monitoring coverage of the camera (2) in the monitoring image, and obtain the position coordinates of the vehicle head according to the visual positioning algorithm. The non-motorized vehicle lane visual recognition system uploads the recognized video, the positioning information extracted by the recognition, and the time information to the cloud analysis and computing system (7) through the communication system; S4: The cloud analysis and calculation system (7) first stores the data uploaded in the previous section, and then ranges the UWB positioning data and the visual positioning data respectively, so that the point coordinate data becomes the range coordinate data of 60cm×60cm, and then the two range coordinate data are overlapped according to time. When the UWB coordinate range and the visual recognition coordinate range have overlapping parts at the same time point, it means that the vehicle is equipped with an on-board UWB electronic positioning license plate (101). The system then determines whether the vehicle has illegal driving behavior based on the UWB positioning trajectory. If so, the system automatically generates a penalty based on the type of violation. When the UWB positioning range does not appear in the visual recognition coordinate range at the same time point, it means that the vehicle at that position in the image is not equipped with an on-board UWB electronic positioning license plate (101). The system marks the vehicle in the recognized video uploaded by the non-motorized vehicle lane visual recognition system at the intersection, stores the marked video, and transmits the video to the law enforcement terminal in real time (8). S5: The traffic police's handheld law enforcement terminal (8) receives data from the cloud analysis and computing system (7) in real time through the 5G network. The traffic police conduct on-site inspections of electric bicycles that are not equipped with on-board UWB electronic positioning license plates (101) at intersections through the video displayed on the law enforcement terminal (8). At the same time, the law enforcement terminal (8) is equipped with a UWB base station module, which can check again whether the vehicle is equipped with an on-board UWB electronic positioning license plate to avoid errors caused by program errors.

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