Non-sensing payment barrier control system based on license plate recognition

Abstract

This invention discloses a contactless payment gate control system based on license plate recognition, belonging to the field of intelligent transportation technology. It includes an image acquisition module for capturing vehicle license plate images; a license plate recognition module, connected to the image acquisition module, for processing the license plate images to extract license plate character information; and a vehicle passage status perception module for detecting the timing and location information of vehicles entering and leaving the recognition area, and generating vehicle passage event data. This invention uses the image acquisition module to capture continuous vehicle image sequences with precise timestamps at a high frame rate, combined with vehicle timing and location data acquired by multiple sensors in the vehicle passage status perception module. Through event queue management and unique passage session ID binding in the vehicle event association module, accurate matching of license plate character information and vehicle passage event data is achieved, avoiding mismatches when multiple vehicles pass through consecutively.

Description

Technical Field

[0001] This invention relates to the field of intelligent transportation technology, specifically to a contactless payment gate control system based on license plate recognition. Background Technology

[0002] With the widespread adoption of intelligent transportation systems, contactless payment gate control systems based on license plate recognition have been widely applied in parking lots, highways, and other scenarios. This system typically consists of an image acquisition module, a license plate recognition module, a payment settlement module, and a gate control module. When a vehicle enters the recognition area, a camera captures the license plate image, extracts character information using algorithms, links it to the driver's account for automatic payment deduction, and finally controls the gate to allow passage. This technology significantly improves traffic efficiency, reduces manual intervention, and has become an important component of modern intelligent transportation management.

[0003] However, existing systems suffer from instantaneous coordination discrepancies between license plate recognition results and barrier gate control commands in complex and dynamic environments. Specifically, when multiple vehicles pass through consecutively and are close together, the system may misassociate the recognition result of the preceding vehicle with that of the following vehicle, or the barrier gate action may not match the actual vehicle's identity, due to incomplete synchronization between image acquisition frequency, recognition processing delay, and barrier gate response timing. Such discrepancies can not only lead to incorrect billing or barrier gate malfunctions but also reduce system reliability and user experience. Existing technologies lack an effective mechanism for real-time dynamic calibration between recognition results and control signals, making it difficult to ensure a precise one-to-one correspondence between vehicles and commands in high-traffic scenarios. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a contactless payment gate control system based on license plate recognition. This system solves the problem that existing systems, in complex dynamic environments, suffer from instantaneous coordination deviations between license plate recognition results and gate control commands, which can easily lead to incorrect associations, incorrect charges, or gate malfunctions.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a contactless payment gate control system based on license plate recognition, comprising: Image acquisition module, used to capture images of vehicle license plates; The license plate recognition module, connected to the image acquisition module, is used to process license plate images to extract license plate character information; The vehicle passage status perception module is used to detect the timing and location information of vehicles entering and leaving the recognition area, and generate vehicle passage event data. The vehicle event association module, connected to the license plate recognition module and the vehicle passage status perception module, is used to dynamically match and bind license plate character information with vehicle passage event data to form accurately associated vehicle identity passage event information. The payment and settlement module, connected to the vehicle event association module, is used to perform payment and settlement operations based on the license plate character information bound in the vehicle identity access event information; The collaborative scheduling and control module is connected to the vehicle event association module, payment settlement module and gate control module. It is used to receive vehicle identity passage event information and payment settlement results, and send a precisely matched gate opening and closing command to the gate control module accordingly. The barrier gate control module, connected to the collaborative scheduling control module, is used to control the opening and closing of the barrier gate according to the barrier gate opening and closing instructions.

[0006] Furthermore, the image acquisition module includes multiple high-definition cameras and is equipped with an image sequence capture function, which is used to capture a continuous image sequence of the vehicle at a high frame rate when the vehicle is passing continuously, and transmit the image sequence with a precise timestamp to the license plate recognition module.

[0007] Furthermore, the vehicle passage status perception module includes multiple vehicle sensing sensors, including at least one of ground induction coils, ultrasonic sensors, or lidar sensors, for detecting the timing and location information of vehicles at multiple preset detection points within the recognition area. The timing information includes the entry time of the vehicle when it first enters the recognition area, the intermediate time of the vehicle passing through a specific detection point, and the detection time of the vehicle passing through the barrier gate.

[0008] Furthermore, the vehicle event association module includes an event queue management unit, which is used to cache license plate character information and vehicle passage event data, and match and bind the vehicle passage event data of the vehicle that first enters the recognition area with the earliest generated valid license plate character information according to the temporal sequence of the vehicle passage event data; when multiple license plate character information is received, it is used to prioritize and verify the validity of the multiple license plate character information according to the location information and temporal sequence information of the vehicle passage event data, so as to determine the most accurate license plate character information to be bound.

[0009] Furthermore, after receiving the license plate character information, the payment settlement module is used to associate with the vehicle account through a preset payment interface and perform automatic deduction processing, which includes fee calculation and payment request sending.

[0010] Furthermore, after receiving the payment settlement result, the collaborative scheduling control module sends a gate opening or closing command to the gate control module, and receives the gate status feedback information from the gate control module, comparing it with the actual vehicle passage status of the vehicle identity passage event information.

[0011] Furthermore, when the comparison results show that the gate status is inconsistent with the actual vehicle passage status, the collaborative scheduling control module sends an abnormal alarm to the system management terminal and instructs the gate control module to perform a preset corrective action.

[0012] Furthermore, the system also includes: The central processing unit, connected to the vehicle event association module, payment settlement module, and collaborative scheduling control module, is used to uniformly manage and store vehicle identity access event information, payment settlement operations, and gate control instructions.

[0013] Furthermore, when the vehicle event association module generates vehicle identity access event information, it binds the license plate character information with the vehicle access event data to a unique access session ID to ensure the correspondence between a single vehicle access and the unique license plate recognition result.

[0014] Furthermore, after receiving the gate opening and closing command, the gate control module is used to perform the gate opening or closing operation within a preset time, and feed back the real-time status of the gate to the collaborative scheduling control module through the status feedback unit.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention uses an image acquisition module to capture continuous vehicle image sequences with precise timestamps at a high frame rate. Combined with vehicle timing and location data acquired by multiple sensors from a vehicle traffic status perception module, and through event queue management and unique passage session ID binding by a vehicle event association module, it achieves accurate matching between license plate character information and vehicle traffic event data, avoiding mismatches when multiple vehicles pass through continuously. The collaborative scheduling control module receives payment results, sends gate commands, and compares the gate status with the actual vehicle passage status. In case of anomalies, it alarms the management terminal and instructs the gate to perform corrective actions. Furthermore, the central processing unit manages the data uniformly, effectively solving the problem of instantaneous coordination deviation between license plate recognition results and gate control commands in complex dynamic environments in existing technologies. This reduces erroneous charges and gate misoperation, improving system reliability and user experience. Attached Figure Description

[0016] Figure 1 This is a system structure diagram of the present invention; Figure 2 This is a flowchart of the vehicle event association matching process of the present invention; Figure 3 This is a flowchart of the collaborative scheduling and exception handling process of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Please see Figure 1-3 This invention provides a contactless payment gate control system based on license plate recognition, comprising: Image acquisition module, used to capture images of vehicle license plates; The license plate recognition module, connected to the image acquisition module, is used to process license plate images to extract license plate character information; The vehicle passage status perception module is used to detect the timing and location information of vehicles entering and leaving the recognition area, and generate vehicle passage event data. The vehicle event association module, connected to the license plate recognition module and the vehicle passage status perception module, is used to dynamically match and bind license plate character information with vehicle passage event data to form accurately associated vehicle identity passage event information. The payment and settlement module, connected to the vehicle event association module, is used to perform payment and settlement operations based on the license plate character information bound in the vehicle identity access event information; The collaborative scheduling and control module is connected to the vehicle event association module, payment settlement module and gate control module. It is used to receive vehicle identity passage event information and payment settlement results, and send a precisely matched gate opening and closing command to the gate control module accordingly. The barrier gate control module, connected to the collaborative scheduling control module, is used to control the opening and closing of the barrier gate according to the barrier gate opening and closing instructions.

[0019] Specifically, in the practical application of this license plate recognition-based contactless payment gate control system, the image acquisition module can be installed at the entrance of the recognition area and key monitoring points. When a vehicle enters the recognition area, it automatically activates the image capture function to accurately acquire the vehicle's license plate image, ensuring that the image is clear and contains complete license plate features. After receiving the license plate image transmitted by the image acquisition module, the license plate recognition module activates its built-in image processing algorithm to perform preprocessing operations such as noise reduction and enhancement on the image, and then extracts the license plate character information to ensure the accuracy of the character information. The vehicle passage status sensing module is deployed at multiple locations such as the entrance, middle, and exit of the recognition area to detect the timing of vehicles entering and leaving the recognition area in real time, and records the specific location information of the vehicle within the recognition area, thereby generating detailed vehicle passage event data, providing accurate timing and location basis for subsequent correlation work. After receiving license plate character information from the license plate recognition module and vehicle passage event data generated by the vehicle passage status perception module, the vehicle event association module initiates a dynamic matching and binding mechanism. Combining the timing and location information in the vehicle passage event data, it determines the association between the license plate character information and the corresponding vehicle, avoiding mismatches caused by multiple vehicles passing through consecutively, and forming accurately associated vehicle identity passage event information. After obtaining the license plate character information bound to the vehicle identity passage event information, the payment settlement module automatically retrieves the preset vehicle account association information to complete fee calculation and automatic deduction operations, ensuring a smooth payment process. The collaborative scheduling control module receives the vehicle identity passage event information and the payment settlement result from the payment settlement module. If the payment is successful, it generates a gate opening command; if the payment fails, it generates a passage blocking command and keeps the gate closed, while simultaneously sending a manual intervention request to the management terminal, achieving accurate matching between the gate opening / closing command and the vehicle identity. After receiving the command from the collaborative scheduling control module, the gate control module accurately executes the gate opening or closing action. Through the collaborative work of various modules, the problem of instantaneous coordination deviation between license plate recognition results and gate control commands in complex dynamic environments is effectively solved, reducing erroneous charges and gate misoperation, and improving system reliability and user experience.

[0020] Preferably, the image acquisition module is linked with the vehicle traffic status perception module. When the sensor detects a vehicle entering the recognition area, it triggers high frame rate acquisition, and switches to low frame rate standby mode after the vehicle leaves.

[0021] In this embodiment, the image acquisition module includes multiple high-definition cameras and is equipped with an image sequence capture function. It is used to capture a continuous image sequence of the vehicle at a high frame rate when the vehicle is passing through continuously, and transmit the image sequence with a precise timestamp to the license plate recognition module.

[0022] Specifically, the image acquisition module includes multiple high-definition cameras, which can be installed at different angles and heights within the recognition area. For example, one camera can be positioned on the left, right, and directly above the entrance to the recognition area, ensuring that vehicle license plate images are captured from multiple directions and avoiding missing license plate information due to shooting angle issues. These high-definition cameras are equipped with image sequence capture capabilities, setting an appropriate high frame rate based on vehicle speed. For instance, when vehicles are traveling at high speeds, the frame rate is adjusted to a higher level to ensure that continuous and clear vehicle image sequences are captured during continuous vehicle passage. Simultaneously, each image sequence is accompanied by a precise timestamp, accurate to the millisecond level, ensuring accuracy when matching data with other modules. The cameras transmit the image sequences with precise timestamps to the license plate recognition module in real time, enabling the license plate recognition module to combine the timestamp information to more accurately process and recognize license plate images of different vehicles. This reduces recognition errors caused by blurry or missing images, providing more reliable image data support for accurate matching by the subsequent vehicle event association module, further improving the system's license plate recognition accuracy in multi-vehicle continuous passage scenarios.

[0023] In this embodiment, the vehicle passage status perception module includes multiple vehicle sensing sensors, including at least one of ground induction coils, ultrasonic sensors, or lidar sensors, for detecting the timing and location information of vehicles at multiple preset detection points within the recognition area. The timing information includes the entry time of the vehicle when it first enters the recognition area, the intermediate time of the vehicle passing through a specific detection point, and the detection time of the vehicle passing through the barrier gate.

[0024] Specifically, the vehicle passage status perception module incorporates multiple vehicle sensors, which can be combined in appropriate combinations depending on the application scenario. For example, in a parking lot scenario, inductive loops can be deployed at the entrance of the recognition area, ultrasonic sensors at key points in the middle of the recognition area, and lidar sensors at the exit. The inductive loops detect changes in electromagnetic induction as vehicles pass by, recording the entry time of the vehicle's first entry into the recognition area. The ultrasonic sensors utilize the principle of ultrasonic wave reflection to monitor the vehicle's position at the intermediate detection point in real time, recording the intermediate time of the vehicle's passage through that point. The lidar sensors emit laser beams to accurately detect the vehicle's outline and position, recording the exit time when the vehicle completely leaves the recognition area. These sensors transmit the timing and location information of the detected vehicles at multiple preset detection points to the vehicle passage status perception module in real time. The module integrates and processes this data to generate complete vehicle passage event data. Through the collaborative detection of multiple sensor types, the timing and location information of vehicle passage can be obtained more comprehensively and accurately, providing a solid data foundation for the vehicle event association module to accurately bind license plate character information with the vehicle, effectively avoiding association errors caused by the detection bias of a single sensor.

[0025] In practice, lidar can also be installed on the upper side of the identification area to accurately measure the vehicle outline to assist in license plate positioning, while inductive loop detectors are used for exit detection.

[0026] In this embodiment, the vehicle event association module includes an event queue management unit, which is used to cache license plate character information and vehicle passage event data, and match and bind the vehicle passage event data of the vehicle that first enters the recognition area with the earliest generated valid license plate character information according to the temporal sequence of the vehicle passage event data; when multiple license plate character information is received, it is used to prioritize and verify the validity of the multiple license plate character information according to the location information and temporal sequence information of the vehicle passage event data, so as to determine the most accurate license plate character information to be bound.

[0027] Specifically, the event queue management unit of the vehicle event association module first creates a data cache queue. Upon receiving license plate character information from the license plate recognition module and vehicle passage event data from the vehicle passage status perception module, this data is stored in the cache queue in chronological order of receipt. During data matching, the event queue management unit prioritizes extracting the vehicle passage event data corresponding to the vehicle that first entered the recognition area from the cache queue, and simultaneously extracts the earliest generated valid license plate character information from the queue. By comparing the timestamps and vehicle location-related data of both, they are matched and bound. When multiple license plate character information is received in the cache queue, the event queue management unit first obtains the image acquisition time corresponding to each license plate character information and records it as... The approximate location of the vehicle is recorded as Combined with the location information in the vehicle traffic event data, it is recorded as follows: And timing information is denoted as The priority of each license plate character information is calculated using the following formula: ; in, For the first The priority of each license plate character information is dimensionless and its value ranges from [0,1]. This is the position deviation weighting coefficient, which is dimensionless and takes values ​​between [0,1]. This is the time series deviation weighting coefficient, which is dimensionless and takes values ​​between [0,1]. Both were determined through on-site debugging, such as testing different methods in scenarios with multiple vehicles passing continuously. , The combination is chosen based on its matching accuracy, and the combination with the highest accuracy is selected. Common examples include... , ; For the first The deviation between the vehicle location corresponding to each license plate character and the location in the vehicle passage event data, in meters; The maximum possible deviation of vehicle position within the identification area is measured in meters, and the specific value is set according to the size of the identification area, such as 5 meters. For the first The deviation between the collection time of individual license plate character information and the time sequence in vehicle passage event data is expressed in seconds. To identify the maximum possible deviation in vehicle timing within the area, the unit is seconds, and the specific setting is based on the vehicle speed, such as 3 seconds.

[0028] Specifically, the location coordinates of the current detection point in the vehicle passage event data are determined in real time by the vehicle passage status perception module; This is the standard timestamp of a vehicle arriving at the current checkpoint in the vehicle passage event data; The vehicle position coordinates are estimated based on the perspective transformation of the i-th frame image; The value is set according to the geometric dimensions of the recognition area, and is half the length of the recognition area.

[0029] According to the calculation Prioritize and sort multiple license plate character information. The larger the value, the higher the priority. Then, the sorted license plate character information undergoes validity checks, such as checking the completeness, clarity, and conformity to standard license plate formats, eliminating invalid or blurry license plate character information, and finally selecting... The largest and most verified license plate character information is bound to the vehicle passage event data. This queue management, sorting, and verification mechanism effectively avoids mismatches between license plate character information and vehicle passage event data when multiple vehicles pass through consecutively, thus improving the accuracy of vehicle identification.

[0030] In this embodiment, after receiving the license plate character information, the payment settlement module is used to associate with the vehicle account through a preset payment interface and perform automatic deduction processing, which includes fee calculation and payment request sending.

[0031] Specifically, the payment settlement module pre-stores vehicle account association information corresponding to each license plate and fee calculation rules for different scenarios. Upon receiving license plate character information transmitted by the vehicle event association module, the payment settlement module automatically retrieves the corresponding vehicle account based on the license plate character information and establishes a connection with the payment platform to which the vehicle account belongs through a preset payment interface. Then, the payment settlement module calculates the required fees based on different application scenarios. For example, in a parking lot scenario, it calculates parking fees based on the time difference between the vehicle entering and leaving the recognition area and the parking lot's charging standard; in a highway scenario, it calculates toll fees based on the vehicle's mileage and the highway toll standard. After the fee calculation is completed, the payment settlement module automatically sends a payment request to the payment platform. Upon receiving the request, the payment platform deducts the corresponding fee from the corresponding vehicle account and sends the payment result back to the payment settlement module. The entire payment settlement process requires no manual intervention, achieving automatic and rapid fee settlement, reducing vehicle waiting time during passage, improving traffic efficiency, and avoiding errors that may occur with manual toll collection.

[0032] In this embodiment, after receiving the payment settlement result, the collaborative scheduling control module sends a gate opening or closing command to the gate control module, and receives the gate status feedback information from the gate control module, and compares it with the actual vehicle passage status of the vehicle identity passage event information.

[0033] Specifically, after receiving the payment settlement result from the payment settlement module, the collaborative scheduling control module first judges the payment result. If the payment result is successful, the collaborative scheduling control module generates a gate opening command and sends the command to the gate control module; if the payment result fails, such as due to insufficient account balance, it generates a gate closing command and sends it to the gate control module. During the gate opening and closing action, the gate control module collects the gate's status information in real time, such as the degree of opening and whether it is fully closed, and transmits the gate status feedback information to the collaborative scheduling control module through the status feedback channel. After receiving the gate status feedback information, the collaborative scheduling control module retrieves the actual vehicle passage status transmitted by the vehicle passage status perception module, such as whether the vehicle is still within the recognition area and whether it is preparing to pass through the gate. It compares the gate status feedback information with the actual vehicle passage status to determine whether the gate action matches the vehicle's passage needs, ensuring that the gate opening and closing action can accurately coordinate with vehicle passage and avoiding situations where the gate is open but the vehicle cannot pass, or a vehicle needs to pass but the gate is not open.

[0034] In this embodiment, when the comparison result shows that the gate status is inconsistent with the actual vehicle passage status, the collaborative scheduling control module sends an abnormal alarm to the system management terminal and instructs the gate control module to perform a preset corrective action.

[0035] Specifically, when the collaborative scheduling control module compares the gate status feedback information with the actual vehicle passage status, it calculates the deviation between the two using the following formula to determine whether they are consistent: ; in, The deviation is dimensionless and its value ranges from [0,1]. The state is determined to be inconsistent at that time; This is the state weighting coefficient for the barrier gate, which is dimensionless and takes values ​​between [0,1]. The vehicle position weighting coefficient is dimensionless and its value ranges from [0,1]. Both are determined through on-site debugging, such as testing under different abnormal scenarios, selecting the combination that can accurately identify inconsistent states, such as... , ; This represents the deviation of the barrier gate's state. It is dimensionless. If the actual state of the barrier gate matches the expected state, it is 0; otherwise, it is 1. The actual location of the vehicle is in meters. The desired position of the vehicle is in meters. For example, the vehicle should be 1 meter in front of the barrier when the barrier is opened. This refers to a reasonable range for the vehicle's location, measured in meters. The range is set according to the scenario, with 3 meters being a common example.

[0036] Preferred, This refers to the theoretical position of the vehicle corresponding to the current gate opening command. For example, the expected position corresponding to the gate opening command is 1-2 meters in front of the gate.

[0037] For example, when the barrier gate control module reports that the barrier gate is open, and the desired state is also open, but the vehicle's actual position is 5 meters in front of the barrier gate, exceeding the reasonable range, then... , , If the gate feedback indicates it is closed, but the desired state is open, then... , This was determined to be inconsistent.

[0038] When an inconsistency is detected, the collaborative scheduling control module immediately generates an anomaly alarm. This alarm, sent via the communication module to the system management terminal, includes the time of the anomaly, the corresponding license plate information, the gate status, and the actual vehicle passage status, allowing management personnel to understand the situation promptly. Simultaneously, the collaborative scheduling control module sends preset corrective action commands to the gate control module based on the anomaly type. For example, it issues a closing command if the gate is mistakenly opened, or resends an opening command if the gate should have opened but did not, ensuring the gate executes its actions accurately and corrects the anomaly. Before executing the corrective action, the collaborative scheduling control module confirms that the vehicle passage status sensing module has not detected a vehicle located in the safe area below the gate, ensuring normal system operation and minimizing inconvenience to users.

[0039] In this embodiment, the system further includes: The central processing unit, connected to the vehicle event association module, payment settlement module, and collaborative scheduling control module, is used to uniformly manage and store vehicle identity access event information, payment settlement operations, and gate control instructions.

[0040] Specifically, the central processing unit establishes data connections with the vehicle event association module, payment settlement module, and collaborative scheduling control module to achieve real-time data interaction and transmission. During system operation, the central processing unit receives vehicle identity access event information generated by the vehicle event association module, payment settlement operation data from the payment settlement module, and gate control commands issued by the collaborative scheduling control module, and manages this data uniformly. For example, the central processing unit coordinates the working sequence of the three modules to ensure that vehicle identity access event information is transmitted to the payment settlement module in a timely manner after generation, and that the payment settlement result is quickly fed back to the collaborative scheduling control module after completion, avoiding system lag caused by data transmission delays between modules. Simultaneously, the central processing unit has a built-in data storage module that categorizes and stores the received vehicle identity access event information, payment settlement records, gate control commands, and gate status feedback information, forming a system operation database. This stored data can be used for subsequent system maintenance, troubleshooting, and user queries, improving the system's data management capabilities and overall operational stability, and ensuring the long-term reliable operation of the system.

[0041] In this embodiment, when the vehicle event association module generates vehicle identity access event information, it binds the license plate character information with the vehicle access event data to a unique access session ID to ensure the correspondence between a single vehicle access and the unique license plate recognition result.

[0042] Specifically, during the generation of vehicle identity access event information, the vehicle event association module automatically generates a unique access session ID after obtaining the corresponding license plate character information and vehicle access event data. This access session ID is generated using a specific algorithm to ensure that it is not duplicated during system operation. After generating the access session ID, the vehicle event association module binds this ID with the corresponding license plate character information and vehicle access event data, so that each set of vehicle identity access event information has a unique access session ID. In the subsequent payment settlement process, the payment settlement module obtains the vehicle identity access event information with the access session ID, performs fee settlement, and feeds back the payment result along with the access session ID to the collaborative scheduling control module. When the collaborative scheduling control module issues a gate control command, it also includes the corresponding access session ID, and the status information fed back by the gate control module after executing the action is also associated with this access session ID. By binding a unique access session ID, the entire process of a single vehicle passage, from license plate recognition and payment settlement to gate control, can be clearly tracked, ensuring that a single vehicle passage corresponds to a unique license plate recognition result, and completely avoiding the problem of data confusion between different vehicles in the scenario of multiple vehicles passing through continuously.

[0043] In this embodiment, after receiving the gate opening and closing command, the gate control module is used to perform the gate opening or closing operation within a preset time, and feed back the real-time status of the gate to the collaborative scheduling control module through the status feedback unit.

[0044] Specifically, the gate control module has a pre-set time for the gate's opening and closing operations. This time is rationally set based on the gate's mechanical performance, vehicle speed, and actual application requirements to ensure the gate opens before vehicles arrive and closes promptly after they pass. When the gate control module receives an opening / closing command from the collaborative scheduling control module, it immediately activates its internal drive mechanism, driving the gate to open or close according to the command and complete the entire process within the preset time. During the gate's operation, the gate control module's status feedback unit uses built-in sensors to collect real-time information such as the gate's position and movement status, including the opening angle, whether it is in motion, and whether it is fully closed. The status feedback unit processes this real-time status information and feeds it back to the collaborative scheduling control module via a data transmission channel. This allows the collaborative scheduling control module to promptly grasp the gate's operational status, compare and adjust it based on the gate's status and vehicle traffic conditions, ensuring precise matching between the gate's opening and closing actions and vehicle traffic demands, thus improving the system's coordination and reliability.

[0045] This embodiment addresses the issue of mismatch rates in multi-vehicle continuous passage scenarios, such as when the following distance is less than 2 meters. Existing technologies typically suffer from image processing delays of 200-500ms, which are out of sync with the gate response time of 1-2 seconds. This results in a high mismatch rate between license plate recognition and vehicle physical identity, often exceeding 5%. This invention reduces the mismatch rate to below 0.1% by fusing high-frame-rate image sequences with millisecond-level timestamps and multi-sensor position-time data, combined with a spatiotemporal priority algorithm for event queues. Furthermore, the end-to-end binding of a unique passage session ID ensures an immutable correspondence between a single passage and payment record, resolving issues of malicious toll evasion and incorrect deductions. Real-time closed-loop comparison of gate status and vehicle location identifies anomalies and triggers corrective actions within 300ms, such as following vehicles through the gate, effectively improving system reliability.

[0046] In summary, this invention uses an image acquisition module to capture continuous vehicle image sequences with precise timestamps at a high frame rate. Combined with vehicle timing and location data acquired by multiple sensors in a vehicle traffic status perception module, and through event queue management and unique passage session ID binding in a vehicle event association module, it achieves accurate matching between license plate character information and vehicle traffic event data, avoiding mismatches when multiple vehicles pass through continuously. The collaborative scheduling control module receives payment results, sends gate commands, and compares the gate status with the actual vehicle traffic status. In case of anomalies, it alerts the management terminal and instructs the gate to perform corrective actions. Furthermore, the central processing unit manages the data uniformly, effectively solving the problem of instantaneous coordination deviation between license plate recognition results and gate control commands in complex dynamic environments in existing technologies. This reduces erroneous charges and gate misoperation, improving system reliability and user experience.

[0047] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0048] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A non-sensing payment barrier control system based on license plate recognition, characterized by, include: Image acquisition module, used to capture images of vehicle license plates; The license plate recognition module, connected to the image acquisition module, is used to process license plate images to extract license plate character information; The vehicle passage status perception module is used to detect the timing and location information of vehicles entering and leaving the recognition area, and generate vehicle passage event data. The vehicle event association module, connected to the license plate recognition module and the vehicle passage status perception module, is used to dynamically match and bind license plate character information with vehicle passage event data to form accurately associated vehicle identity passage event information. The payment and settlement module, connected to the vehicle event association module, is used to perform payment and settlement operations based on the license plate character information bound in the vehicle identity access event information; The collaborative scheduling and control module is connected to the vehicle event association module, payment settlement module and gate control module. It is used to receive vehicle identity passage event information and payment settlement results, and send a precisely matched gate opening and closing command to the gate control module accordingly. The barrier gate control module, connected to the collaborative scheduling control module, is used to control the opening and closing of the barrier gate according to the barrier gate opening and closing instructions.

2. The non-sensing payment barrier control system based on license plate recognition according to claim 1, characterized in that, The image acquisition module includes multiple high-definition cameras and is equipped with an image sequence capture function. It is used to capture a continuous image sequence of vehicles at a high frame rate when vehicles are passing continuously, and transmit the image sequence with a precise timestamp to the license plate recognition module.

3. The non-sensing payment barrier control system based on license plate recognition according to claim 1, characterized in that, The vehicle passage status perception module includes multiple vehicle sensing sensors, including at least one of ground induction coils, ultrasonic sensors, or lidar sensors, used to detect the timing and location information of vehicles at multiple preset detection points within the recognition area. The timing information includes the entry time of the vehicle when it first enters the recognition area, the intermediate time of the vehicle passing through a specific detection point, and the detection time of the vehicle passing through the barrier gate.

4. The license plate recognition based non-sensing payment barrier control system according to claim 1, wherein, The vehicle event association module includes an event queue management unit, which is used to cache license plate character information and vehicle passage event data, and match and bind the vehicle passage event data of the first vehicle to enter the recognition area with the earliest generated valid license plate character information according to the temporal sequence of the vehicle passage event data. When multiple license plate character information is received, it is used to prioritize and validate the multiple license plate character information based on the location and timing information of the vehicle passage event data, so as to determine the most accurate license plate character information to be bound.

5. The non-sensing payment barrier control system based on license plate recognition according to claim 1, wherein, After receiving the license plate information, the payment settlement module is used to associate with the vehicle account through a preset payment interface and perform automatic deduction processing, which includes fee calculation and payment request sending.

6. The non-sensing payment barrier control system based on license plate recognition according to claim 1, wherein, After receiving the payment settlement result, the collaborative scheduling control module sends a gate opening or closing command to the gate control module and receives the gate status feedback information from the gate control module, comparing it with the actual vehicle passage status of the vehicle identity passage event information.

7. The non-sensing payment barrier control system based on license plate recognition according to claim 6, characterized in that, When the comparison results show that the gate status is inconsistent with the actual vehicle passage status, the collaborative scheduling control module sends an abnormal alarm to the system management terminal and instructs the gate control module to perform a preset corrective action.

8. The non-sensing payment barrier control system based on license plate recognition according to claim 1, wherein, The system also includes: The central processing unit, connected to the vehicle event association module, payment settlement module, and collaborative scheduling control module, is used to uniformly manage and store vehicle identity access event information, payment settlement operations, and gate control instructions.

9. The non-sensing payment barrier control system based on license plate recognition according to claim 1, wherein, When the vehicle event association module generates vehicle identity access event information, it binds the license plate character information with the vehicle access event data to a unique access session ID to ensure the correspondence between a single vehicle access and a unique license plate recognition result.

10. The non-sensing payment barrier control system based on license plate recognition according to claim 1, wherein, After receiving the gate opening and closing command, the gate control module is used to perform the gate opening or closing operation within a preset time, and feeds back the real-time status of the gate to the collaborative scheduling control module through the status feedback unit.

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