Highway unmanned toll system based on 5G cloud communication interconnection

Abstract

The application discloses a highway unmanned toll collection system based on 5G cloud communication interconnection, adopts 5G cloud communication technology, can realize fast and stable data transmission, improves the communication efficiency of the highway unmanned toll collection system, and through use of a high-resolution camera and a density image recursive processing algorithm, can quickly and accurately identify vehicles intelligently, based on cloud computing and an advanced vehicle identification algorithm, the system can realize intelligent toll calculation, avoids errors and disputes in traditional automatic toll collection systems, meanwhile, unmanned operation of the application can greatly reduce operation cost, improves the passing efficiency and traffic safety of the highway, and solves the problem that the existing highway unmanned toll collection system usually needs to slow down or stop vehicles during identification and toll collection.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of 5G communication transportation, and particularly relates to a highway unmanned toll system based on 5G cloud communication interconnection. BACKGROUND

[0002] In the traditional highway toll system, vehicles are usually charged by manual toll collectors. However, this manual method has some problems, such as low work efficiency, prone to errors and congestion, and high cost. In order to solve these problems, automated toll systems have gradually been introduced, but there are still some limitations.

[0003] The existing automated toll system mainly relies on fixed equipment, such as electronic tags, barcodes, and RFID, etc. However, these devices cannot fully adapt to the rapid development of vehicle technology and vehicle diversity; more importantly, the traditional automated toll system usually requires vehicles to slow down or stop when entering the identification area, which affects the driving speed and traffic efficiency of the highway.

[0004] Therefore, a new highway unmanned toll system is needed, which can realize fast and accurate vehicle identification and charging without manual operation, and does not affect the driving speed and traffic efficiency of the vehicle. SUMMARY

[0005] This section aims to summarize some aspects of the embodiments of the present application and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of the specification to avoid obscuring the purpose of this section, abstract and title, and such simplifications or omissions cannot be used to limit the scope of the present application.

[0006] In view of the above problems existing in the existing highway unmanned toll system, the present application is proposed.

[0007] Therefore, the technical problem solved by the present application is to solve the problem that the existing highway unmanned toll system usually requires vehicles to slow down or stop during the identification and charging process.

[0008] To solve the above technical problems, the application provides the following technical scheme: a highway unmanned toll collection system based on 5G cloud communication interconnection, comprising: an entrance camera recognition component, which records the driving-in condition of the current vehicle in real time through a high-definition camera arranged at the highway entrance; a cloud processor, the entrance camera recognition component is connected to the cloud processor through a built-in 5G module, and the collected entrance image is sent in real time, the cloud processor receives the entrance image, identifies the information of the driving-in vehicle through image text recognition, and completes the on-site statistics of the entrance; an exit camera recognition component, which is connected to the cloud processor through a built-in 5G module, and the collected exit image is sent in real time, the driving-out condition of the vehicle is recorded in real time through a second high-definition camera arranged at the highway exit, the cloud processor receives the exit image, identifies the information of the driving-out vehicle through image text recognition, and completes the on-site statistics of the exit; a result generation component embedded in the cloud processor, which acquires the vehicle information obtained by the cloud processor, the vehicle information specifically includes a vehicle license plate and a vehicle driving-in and driving-out statistics table, and the corresponding amount is autonomously generated according to the pre-input charging rules; an identity search component embedded in the cloud processor, the entrance camera recognition component and the exit camera recognition component identify the vehicle information, search the database according to the vehicle license plate information to complete identity confirmation, and complete the subsequent sending of the payment information through the pre-bound other corresponding information.

[0009] As a preferred scheme of the highway unmanned toll collection system based on 5G cloud communication interconnection, wherein: the entrance camera recognition component specifically comprises a group of uniformly distributed high-definition camera transmission units, each high-definition camera transmission unit is connected to the cloud processor through a 5G module to realize data and signal interconnection transmission; the cloud processor further comprises an identification judgment unit, when the vehicle drives into the highway, the first high-definition camera transmission unit is triggered to start, the current entrance image at the entrance is autonomously collected and transmitted to the cloud processor through the 5G network, the identification judgment unit is triggered to start autonomously, the distribution state of the current entrance vehicle is identified according to the image recognition technology, and the subsequent high-definition camera transmission unit is started according to the density judgment threshold after the distribution density result is obtained; when the density judgment threshold is reached, the cloud processor controls the start of the subsequent high-definition camera transmission unit through 5G signal transmission, the subsequent high-definition camera transmission unit continues to collect the entrance image until the vehicle distribution state result in the collected entrance image is lower than the density judgment threshold.

[0010] As a preferred scheme of the highway unmanned toll collection system based on 5G cloud communication interconnection, wherein: the interval of each high-definition camera transmission unit is 1 km, and there are 3 high-definition camera transmission units, and the first high-definition camera transmission unit is arranged at the highway entrance.

[0011] As a preferred scheme of the expressway unmanned toll collection system based on 5G cloud communication interconnection, the density judgment threshold is defined as 3 vehicles per license plate.

[0012] As a preferred scheme of the expressway unmanned toll collection system based on 5G cloud communication interconnection, the cloud processor further includes a storage recording unit connected with the data units of the plurality of high-definition camera transmission units, acquires a plurality of vehicle entry information, synchronously completes comparison and screening of vehicle license plates to store only one, and retains a single access credential of all vehicle information.

[0013] As a preferred scheme of the expressway unmanned toll collection system based on 5G cloud communication interconnection, the exit camera recognition component specifically includes a set of uniformly distributed second high-definition camera transmission units, each of which is connected with the cloud processor for data interconnection transmission through a 5G module; when a vehicle exits the expressway, the first second high-definition camera transmission unit is triggered to start, autonomously collects the exit image at the current exit, and transmits the image through a 5G network; the cloud processor receives the exit image, and the recognition judgment unit is autonomously started, identifies the distribution state of the current exit vehicle according to image recognition technology, and starts the subsequent second high-definition camera transmission unit according to the second density judgment threshold; when the second density judgment threshold is reached, the cloud processor controls the start of the subsequent second high-definition camera transmission unit through 5G signal transmission, and the subsequent second high-definition camera transmission unit continues to collect the exit image until the vehicle distribution density result in the collected exit image is lower than the second density judgment threshold.

[0014] As a preferred scheme of the expressway unmanned toll collection system based on 5G cloud communication interconnection, the interval of each second high-definition camera transmission unit is 100 m, and there are three such units, and the last second high-definition camera transmission unit is arranged at the expressway exit.

[0015] As a preferred scheme of the expressway unmanned toll collection system based on 5G cloud communication interconnection, the storage recording unit is connected with the data units of the plurality of second high-definition camera transmission units, acquires a plurality of vehicle exit information, synchronously completes comparison and screening of vehicle license plates to store only one, and retains a single access credential of all vehicle information.

[0016] The beneficial effects of this invention are as follows: This invention provides a highway unmanned toll collection system based on 5G cloud communication interconnection. Utilizing 5G cloud communication technology, it enables fast and stable data transmission, improving the communication efficiency of the highway unmanned toll collection system. By using high-resolution cameras and density image recursive processing algorithms, it can quickly and accurately identify vehicles intelligently. Based on cloud computing and advanced vehicle recognition algorithms, the system can achieve intelligent toll calculation, avoiding errors and disputes that occur in traditional automated toll collection systems. Furthermore, the unmanned operation of this invention can significantly reduce operating costs, while improving highway traffic efficiency and safety. It also solves the problem that existing highway unmanned toll collection systems typically require vehicles to slow down or stop during the identification and toll collection process. Detailed Implementation

[0017] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0018] Current automated toll collection systems primarily rely on fixed equipment such as electronic tags, barcodes, and RFID. However, these devices cannot fully adapt to the rapidly evolving vehicle technology and diversity. More importantly, traditional automated toll collection systems typically require vehicles to slow down or stop when entering the recognition area, which impacts highway speed and traffic efficiency.

[0019] Therefore, this invention provides a highway unmanned toll collection system based on 5G cloud communication interconnection, comprising:

[0020] The entrance camera recognition component 100 records the current vehicle entry status in real time through a high-definition camera deployed at the highway entrance;

[0021] The cloud processor 200 and the entrance camera recognition component 100 are connected to the cloud processor 200 through the built-in 5G module to send the collected entrance images in real time. The cloud processor 200 receives the entrance images and recognizes the information of the vehicles entering through the image text to complete the on-site statistics of the entrance.

[0022] The exit camera recognition component 300 connects to the cloud processor 200 via a built-in 5G module to send the collected exit images in real time. The second high-definition camera deployed at the highway exit records the exiting vehicles in real time. The cloud processor 200 receives the exit images and identifies the exiting vehicles through image text recognition, thus completing the on-site exit statistics.

[0023] The result generation component 400 is embedded in the cloud processor 200. It obtains vehicle information from the cloud processor 200. The vehicle information specifically includes vehicle license plates and vehicle entry and exit statistics. It automatically generates the corresponding amount based on the pre-input billing rules.

[0024] The identity search component 500 is embedded in the cloud processor 200. The entrance camera recognition component 100 and the exit camera recognition component 300 identify the vehicle information, search the database based on the vehicle license plate information to complete the identity verification, and complete the subsequent sending of payment information through other pre-bound corresponding information.

[0025] Furthermore, the entrance camera recognition component 100 specifically includes a set of uniformly distributed high-definition camera transmission units, each of which is interconnected with the cloud processor 200 via a 5G module to achieve data and signal transmission;

[0026] The cloud processor 200 also includes an identification and judgment unit. When a vehicle enters the highway, the first high-definition camera transmission unit is triggered to start. It autonomously collects the current entrance image at the entrance and transmits it to the cloud processor 200 through the 5G network. This triggers the identification and judgment unit to start autonomously. Based on image recognition technology, it identifies the current distribution status of vehicles at the entrance. After obtaining the distribution density result, it starts the subsequent high-definition camera transmission unit based on the density judgment threshold.

[0027] Once the density threshold is reached, the cloud processor 200 controls the activation of the next high-definition camera transmission unit via 5G signal transmission. The next high-definition camera transmission unit continues to collect entrance images until the vehicle distribution status in the collected entrance images is lower than the density threshold.

[0028] It should be noted that the identification and judgment unit uses image recognition technology to identify the distribution status of vehicles at the current entrance and obtain the distribution density result, specifically including the following steps:

[0029] S1: Read the image data point cloud data, perform bandpass filtering on the point cloud data, and separate it into target vehicle point cloud and debris point cloud;

[0030] Obtaining point clouds is a common technique and will not be elaborated upon here.

[0031] In the process of bandpass filtering, bandpass filtering can be performed based on the height and width thresholds of different objects. Bandpass filtering is a conventional method in communication signal processing, and will not be elaborated on here.

[0032] S2: Select 4 points from the target vehicle's point cloud as representatives of the point cloud;

[0033] S3: Obtain the plane equation between the four selected points as the initial fitting plane;

[0034] The planar model is as follows:

[0035] a1x + b1y + c1z + d1 = 0

[0036] z = d2

[0037] Four points are randomly sampled to fit the plane. The above algorithm is then repeated M times. Finally, the plane parameter with the most interior points is selected and used to fit the initial fitted plane at this moment.

[0038] S4: Line extraction was performed on the clutter point cloud using RanSac;

[0039] The extraction process involves directly extracting data using RanSac to extract the linear equations of the clutter point cloud;

[0040] The RANSAC method is an existing method that has the advantages of low computational cost and high speed.

[0041] S5: Obtain the completion factor based on the regression results of the straight line;

[0042] The linear equation of the clutter point cloud can be directly obtained and compared with the regression result of the preliminary fitted plane;

[0043] The regression principle is as follows:

[0044] The index mapping relationship for Line1 is as follows:

[0045]

[0046] Among them Index 2D Z represents the index of the segmentation result on the 2D point cloud. th resh old This represents the regression height threshold (or the width threshold if comparing width; either is acceptable). This represents the average height (or average width if comparing widths, either is acceptable) of the segmented straight-line point cloud on the 2D point cloud.

[0047] Alternatively, when performing image recognition on target image data, existing technologies such as OCR can be used directly for recognition. This is not a requirement here. If OCR recognition is used for analysis, you only need to focus on what the real human eye sees and take an image for image recognition.

[0048] OCR programs can directly recognize text and image content without analyzing whether a website uses asynchronous loading technologies such as AJAX. OCR (Optical Character Recognition) refers to the process by which electronic devices (such as scanners or digital cameras) examine characters printed on paper, determine their shapes by detecting dark and light patterns, and then translate those shapes into computer text using character recognition methods. In other words, for printed characters, it uses optical methods to convert the text in a paper document into a black-and-white dot matrix image file, and then uses recognition software to convert the text in the image into text format for further editing by word processing software. How to correct errors or utilize auxiliary information to improve recognition accuracy is the most important issue in OCR, hence the term ICR (Intelligent Character Recognition). The main indicators for evaluating the performance of an OCR system include: rejection rate, false recognition rate, recognition speed, user interface friendliness, product stability, ease of use, and feasibility.

[0049] S6: Count the number of inliners whose completion factors are greater than the set threshold as the range of the clutter point cloud;

[0050] Specifically, the threshold is defined as 6.84.

[0051] S7: Remove miscellaneous items from the cloud;

[0052] S8: Select the license plate reference line and obtain the reference line point cloud in the current vehicle point cloud;

[0053] S9: The reference line point cloud is increased or decreased proportionally to obtain the license plate point cloud that matches the target.

[0054] S10: After capturing the point cloud of the license plate, perform image text recognition to obtain the corresponding information.

[0055] Specifically, each high-definition camera transmission unit is spaced 1 kilometer apart, with a total of 3 units, and the first high-definition camera transmission unit is located at the highway entrance.

[0056] The high-definition camera transmission units deployed are all conventional high-definition camera modules, which will not be elaborated on here.

[0057] Specifically, the density threshold is defined as 3 vehicles / sheet.

[0058] Furthermore, the cloud processor 200 also includes a storage and recording unit, which is connected to multiple high-definition camera transmission units and data units to obtain multiple vehicle entry information, simultaneously compare and filter vehicle license plates to ensure uniqueness, and retain a single access credential for all vehicle information.

[0059] Furthermore, the export camera recognition component 300 specifically includes a set of uniformly distributed second high-definition camera transmission units, each of which is interconnected with the cloud processor 200 via a 5G module for data transmission.

[0060] When a vehicle exits the highway junction, the first second high-definition camera transmission unit is triggered and starts. It autonomously collects the exit image at the current exit and transmits it through the 5G network. After receiving the exit image, the cloud processor 200 recognizes and judges the vehicle distribution status at the current exit based on image recognition technology. After obtaining the distribution density result, it starts the subsequent second high-definition camera transmission units based on the second density judgment threshold.

[0061] Once the second density judgment threshold is reached, the cloud processor 200 controls the activation of the next high-definition camera transmission unit via 5G signal transmission. The next high-definition camera transmission unit continues to collect exit images until the vehicle distribution density result in the collected exit images is lower than the second density judgment threshold.

[0062] Specifically, each second high-definition camera transmission unit is spaced 100m apart, and a total of 3 units are installed, with the last second high-definition camera transmission unit located at the high-speed exit.

[0063] Specifically, the second density judgment threshold is set at 3 vehicles / sheet.

[0064] Furthermore, the storage and recording unit is connected to multiple second high-definition camera transmission units to obtain information on multiple vehicles leaving the premises, and simultaneously compares and filters vehicle license plates to ensure uniqueness, thus retaining a single pass certificate for all vehicle information.

[0065] This invention selects two road sections of the same type during the same holiday period and uses this invention and traditional toll collection methods to measure the traffic rate and traffic volume within the same rated time (24 hours), as shown in Table 1 below:

[0066] Table 1: Comparison of Communication Results

[0067] Traffic volume (vehicles) Normal traffic volume (vehicles) Category Conventional method 1337 1125 ETC The present invention 1846 1799 Straight rear-end payment

[0068] This invention provides a highway unmanned toll collection system based on 5G cloud communication interconnection. Utilizing 5G cloud communication technology, it achieves fast and stable data transmission, improving the communication efficiency of the highway unmanned toll collection system. By using high-resolution cameras and density image recursive processing algorithms, it can quickly and accurately identify vehicles intelligently. Based on cloud computing and advanced vehicle recognition algorithms, the system can achieve intelligent toll calculation, avoiding errors and disputes that occur in traditional automated toll collection systems. Furthermore, the unmanned operation of this invention can significantly reduce operating costs, while improving highway traffic efficiency and safety, and solving the problem that existing highway unmanned toll collection systems typically require vehicles to slow down or stop during the identification and toll collection process.

[0069] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A highway unmanned toll collection system based on 5G cloud communication interconnection, characterized in that: include: The entrance camera recognition component (100) records the current vehicle entry status in real time through a high-definition camera deployed at the highway entrance; The cloud processor (200) is connected to the entrance camera recognition component (100) via a built-in 5G module to send the collected entrance images in real time. The cloud processor (200) receives the entrance images and identifies the information of the vehicles entering the entrance through image text recognition, thus completing the on-site statistics of the entrance. The exit camera recognition component (300) is connected to the cloud processor (200) through a built-in 5G module, and sends the collected exit images in real time. The second high-definition camera deployed at the highway exit records the exit of vehicles in real time. The cloud processor (200) receives the exit images and identifies the information of the exiting vehicles through image text recognition, and completes the on-site statistics of the exit. The result generation component (400) is embedded in the cloud processor (200) to obtain vehicle information obtained by the cloud processor (200). The vehicle information specifically includes vehicle license plates and vehicle entry and exit statistics tables, and generates the corresponding amount automatically according to the pre-input billing rules. An identity search component (500) is embedded in the cloud processor (200). The entrance camera recognition component (100) and the exit camera recognition component (300) identify the vehicle information, search the database based on the vehicle license plate information to complete identity verification, and complete the subsequent sending of payment information through other pre-bound corresponding information. The entrance camera recognition component (100) specifically includes a set of uniformly distributed high-definition camera transmission units. Each high-definition camera transmission unit is interconnected with the cloud processor (200) through a 5G module to achieve data and signal transmission. The cloud processor (200) also includes an identification and judgment unit. When a vehicle enters the highway, the first high-definition camera transmission unit is triggered to start, autonomously collects the current entrance image at the entrance, and transmits it to the cloud processor (200) through the 5G network. This triggers the identification and judgment unit to start autonomously, identify the current distribution status of the vehicles at the entrance based on image recognition technology, obtain the distribution density result, and then start the subsequent high-definition camera transmission units based on the density judgment threshold. Once the density judgment threshold is reached, the cloud processor (200) controls the subsequent high-definition camera transmission unit to start via 5G signal transmission. The subsequent high-definition camera transmission unit continues to collect the entrance image until the vehicle distribution status result in the collected entrance image is lower than the density judgment threshold.

2. The highway unmanned toll collection system based on 5G cloud communication interconnection according to claim 1, characterized in that: Each of the high-definition camera transmission units is spaced 1 kilometer apart, and a total of 3 units are installed, with the first high-definition camera transmission unit located at the highway entrance.

3. The highway unmanned toll collection system based on 5G cloud communication interconnection according to claim 2, characterized in that: The density judgment threshold is defined as 3 vehicles / sheet.

4. The highway unmanned toll collection system based on 5G cloud communication interconnection according to claim 3, characterized in that: The cloud processor (200) also includes a storage and recording unit, which is connected to the data units of multiple high-definition camera transmission units to acquire multiple vehicle entry information, and simultaneously completes the comparison and screening of vehicle license plates to retain a unique single access certificate for all vehicle information.

5. The highway unmanned toll collection system based on 5G cloud communication interconnection according to claim 4, characterized in that: The export camera recognition component (300) specifically includes a set of uniformly distributed second high-definition camera transmission units, each of which is interconnected with the cloud processor (200) via a 5G module for data transmission. When a vehicle exits the highway junction, the first second high-definition camera transmission unit is triggered and starts, autonomously acquiring the exit image at the current exit and transmitting it through the 5G network. After the cloud processor (200) receives the exit image, the identification and judgment unit is autonomously activated, identifying the distribution status of the current exit vehicles based on image recognition technology, obtaining the distribution density result, and then starting the subsequent second high-definition camera transmission units based on the second density judgment threshold. When the second density judgment threshold is reached, the cloud processor (200) controls the subsequent second high-definition camera transmission unit to start through 5G signal transmission. The subsequent second high-definition camera transmission unit continues to collect the exit image until the vehicle distribution density result in the collected exit image is lower than the second density judgment threshold.

6. The highway unmanned toll collection system based on 5G cloud communication interconnection according to claim 5, characterized in that: Each of the second high-definition camera transmission units is spaced 100m apart, and a total of 3 units are installed. The last second high-definition camera transmission unit is located at the high-speed exit.

7. The highway unmanned toll collection system based on 5G cloud communication interconnection according to claim 6, characterized in that: The storage and recording unit is connected to multiple data units of the second high-definition camera transmission unit to acquire multiple vehicle exit information, and simultaneously complete the comparison and screening of vehicle license plates to retain a unique certificate for all vehicle information.

Images