Gate management system
By employing multiple identification and data fusion methods in the gate system, the problem of the inability of existing gate systems to achieve fully automated data integration is solved, thereby improving the accuracy and effectiveness of the data.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- SHENZHEN XINLUTONG INTELLIGENT TECH CO LTD
- Filing Date
- 2025-07-16
- Publication Date
- 2026-07-21
AI Technical Summary
Existing turnstile systems cannot achieve fully automated data integration, leading to misleading data due to invalid information.
By employing multiple identification and data fusion methods, the first identification device acquires a preliminary image of the target vehicle, and the second identification device acquires the image at the same time as the barrier movement control. The image is then associated with and stored with the weighing data from the weighbridge equipment to ensure the accuracy and validity of the data.
By performing multiple identifications and data fusions, the accuracy of the data was improved, the problems of false triggering and false entry into the channel were avoided, and the validity of the target vehicle information was ensured.
Smart Images
Figure CN224536559U_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of park management, and in particular to a gate management system. Background Technology
[0002] Turnstile systems are typically installed at the entrance of a venue, using technologies such as weighbridges to verify vehicle information and then control the opening and closing of the gates. With technological upgrades, modern turnstile systems can not only automatically identify and charge vehicles, but also integrate with other security equipment to enhance venue security.
[0003] However, in existing technologies, a single device (such as a weighbridge or license plate recognition) cannot achieve fully automated data integration, which can easily generate invalid data and cause misleading results. Utility Model Content
[0004] Therefore, it is necessary to provide a gate management system to reduce invalid data.
[0005] This application provides a turnstile management system, including:
[0006] The gate barrier; the gate barrier is used to control whether the gate lane allows the target vehicle to pass.
[0007] A first identification device is located on a first side of the gate, and the first identification device performs image acquisition and identification on the target vehicle; the target vehicle drives from the first side of the gate to the second side of the gate;
[0008] A weighbridge device is located on the first side of the gate; the weighbridge device is located at the bottom of the gate lane and is used to weigh the target vehicle when the target vehicle's weighing position before the gate is detected.
[0009] A second identification device is located on the second side of the gate; when the barrier is raised, the second identification device captures an image of the target vehicle.
[0010] Specifically, when the image recognition result of the first recognition device matches the image recognition result collected by the second recognition device, the image recognition result of the first recognition device is associated with and stored with the weighing data of the weighbridge.
[0011] In one embodiment, the second identification device is provided with a linkage mechanism, and the camera of the second identification device is provided with a lens baffle, and the linkage mechanism is electrically connected to the gate.
[0012] When the linkage mechanism detects a lifting signal, it controls the lens baffle to open; the lifting signal is triggered based on the position of the raised railing.
[0013] When the lens baffle is opened, the second recognition device begins to capture images of the target vehicle.
[0014] In one embodiment, the linkage mechanism controls the lens baffle to close when it detects a barrier drop signal; the barrier drop signal is triggered based on the position where the barrier falls.
[0015] After the target vehicle passes through the area blocked by the barrier, confirm that the lens baffle is closed;
[0016] When the lens baffle is closed, the second recognition device stops acquiring images of the target vehicle.
[0017] In one embodiment, the gate management system further includes an evidence collection device arranged around the gate lane, wherein the camera of the evidence collection device captures images toward the gate lane.
[0018] The second identification device includes an evidence collection triggering unit; the evidence collection triggering unit is used to activate the evidence collection device when it receives a vehicle identifier generated by the first identification device, and the evidence collection device takes pictures of the target vehicle to collect evidence.
[0019] In one embodiment, the second identification device includes a data fusion unit:
[0020] The data fusion unit is connected to the first identification device. The data fusion unit is used to receive and verify the image recognition result of the first identification device, and to identify and associate the target vehicle with the detection results of different devices using the vehicle identifier to obtain a data packet. The detection result includes one or more of the image recognition results of the first identification device and the image recognition results of the second identification device, the weighing data of the weighbridge device, and the evidence image data.
[0021] In one embodiment, the evidence collection device includes a side evidence collection camera and a top evidence collection camera. The side evidence collection camera is located on the side of the gate lane, and the top evidence collection camera is located above the gate lane and takes a top-down view of the gate lane.
[0022] Specifically, when the evidence-collecting device acquires the vehicle identifier sent by the second identification device, the side evidence-collecting camera and the top evidence-collecting camera perform image acquisition to obtain evidence-collecting image data.
[0023] In one embodiment, the first identification device includes a vehicle model identification device and a license plate identification device, wherein the license plate identification device is electrically connected to both the vehicle model identification device and the second identification device; the license plate identification device is located between the vehicle model identification device and the guardrail.
[0024] The vehicle model recognition device generates vehicle model features based on the structure of the target vehicle;
[0025] The license plate recognition device is used to generate a vehicle identifier corresponding to the license plate based on the license plate information of the target vehicle, and instruct the gate to raise the barrier.
[0026] The image recognition result of the first recognition device includes the vehicle model features and the vehicle identifier.
[0027] In one embodiment, the license plate recognition device is further configured to send the vehicle identifier to the vehicle model recognition device and the second recognition device;
[0028] The vehicle model recognition device is used to acquire an image of the target vehicle and recognize the vehicle model after obtaining the vehicle identifier, and after generating the vehicle model feature, send the vehicle model feature associated with the vehicle identifier to the second recognition device.
[0029] In one embodiment, the weighbridge device includes a weighbridge embedded platform located on a first side of the gate and at the bottom of the gate lane; and the image acquisition range of the first identification device is adapted to the size of the weighbridge embedded platform; the weighbridge embedded platform is used to weigh the target vehicle when the target vehicle is detected to be located on the weighbridge embedded platform.
[0030] In one embodiment, the weighbridge device is electrically connected to the second identification device, and the image recognition result includes the identification time;
[0031] The weighbridge device is used to transmit the weight detected at multiple times to the second identification device;
[0032] The second identification device is used to determine the weight of the target vehicle from the weights detected at the plurality of times between the identification time of the first identification device and the identification time of the second identification device.
[0033] The aforementioned system uses a first identification device to acquire an initial image of the target vehicle, creating a multi-faceted image. A barrier then controls the orientation of a second identification device, establishing their relative position. This relative position ensures that the second identification device can capture the target vehicle's image as it passes through the gate, facilitating secondary identification. Furthermore, the closing action of the barrier controls the image acquisition process of the second identification device, controlling the timing of its acquisition and preventing interference from the first device. This multi-faceted identification process, cross-verifying information and integrating weighbridge data, avoids false triggering or mis-entry of the first identification device. Thus, at least two verification checks ensure the validity of the target vehicle's data. Attached Figure Description
[0034] To more clearly illustrate the technical solutions in the embodiments of this application or the conventional technology, the drawings used in the description of the embodiments or the conventional technology will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0035] Figure 1 This is a schematic diagram of a gate management system according to one embodiment;
[0036] Figure 2 This is a schematic diagram of the control logic of a linkage mechanism in one embodiment;
[0037] Figure 3 This is a schematic diagram of a gate management system according to a specific embodiment.
[0038] Explanation of reference numerals in the attached figures:
[0039] 100 - Guardrail; 200 - First identification device; 300 - Weighbridge equipment; 400 - Second identification device; 500 - Evidence collection equipment. Detailed Implementation
[0040] To facilitate understanding of this application, a more complete description will be provided below with reference to the accompanying drawings, which illustrate embodiments of the present application. However, the present application can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that the disclosure of this application will be thorough and complete.
[0041] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
[0042] It is understood that the terms “first,” “second,” etc., used in this application may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish one element from another.
[0043] When used herein, the singular forms of “a,” “an,” and “the” may also include the plural forms unless the context clearly indicates otherwise. It should also be understood that the terms “comprising / including” or “having,” etc., specify the presence of the stated features, wholes, steps, operations, components, parts, or combinations thereof, but do not preclude the possibility of the presence or addition of one or more other features, wholes, steps, operations, components, parts, or combinations thereof. Meanwhile, the term “and / or” as used in this specification includes any and all combinations of the associated listed items.
[0044] like Figure 1 As shown, an embodiment of a gate management system includes: a gate barrier 100; the gate barrier 100 is used to control whether a target vehicle is allowed to pass through the gate lane; a first identification device 200, located on a first side of the gate, and the first identification device 200 performs image acquisition and identification towards the target vehicle; the target vehicle travels from the first side of the gate to a second side of the gate; a weighbridge device 300, located on the first side of the gate; the weighbridge device 300 is located at the bottom of the gate lane and is used to weigh the target vehicle when the target vehicle is detected to be at the weighing position before the gate; a second identification device 400, located on the second side of the gate; when the barrier 100 is raised, the second identification device 400 acquires an image towards the target vehicle; wherein, when the image recognition result of the first identification device 200 matches the image recognition result acquired by the second identification device 400, the image recognition result of the first identification device 200 is associated with and stored with the weighing data of the weighbridge device 300.
[0045] A turnstile is a device that blocks or stops vehicles. When the turnstile lowers the barrier 100, the barrier 100 blocks the turnstile lane, preventing the target vehicle from passing through. When the turnstile raises the barrier 100, the end of the barrier 100 moves away from the turnstile lane, allowing the target vehicle to pass through. The turnstile has a first side and a second side. When the target vehicle passes through the turnstile lane, it travels from the first side to the second side of the turnstile.
[0046] The target vehicle is at least one vehicle traveling in the gate lane. The target vehicle may be carrying people or goods, thus information such as its cargo status exists; the target vehicle may have anomalies such as being overweight or overloaded, thus data under similar spatiotemporal conditions needs to be obtained by the weighbridge equipment 300 and the evidence collection equipment.
[0047] Weighbridge 300 is a weighing device that collects data reflecting the weight of the target vehicle and the weight of the goods it carries. Located on the first side of the gate, weighbridge 300 can acquire the target vehicle's weight data before it passes the barrier 100.
[0048] The first identification device 200 is a detection device that acquires images before the second identification device 400. The first identification device 200 is located on the first side of the turnstile and acquires images towards the turnstile lane; therefore, image acquisition is not based on the movement of the turnstile's barrier 100. The first identification device 200 acquires more vehicle information than the second identification device 400. Since both the weighbridge device 300 and the first identification device 200 are located on the first side of the turnstile, the image acquisition process of these two devices is not limited by the movement of the turnstile's barrier 100.
[0049] The second identification device 400 is located on the second side of the gate, and therefore activates image acquisition when the barrier 100 is raised. The image recognition result of the second identification device 400 can be used to verify whether the image recognition result of the first identification device 200 is correct, and then determine whether to collect evidence as needed. Because the second identification device 400 activates image acquisition when the barrier 100 is raised, it can reduce interference from vehicle information on the first side, thereby making the image recognition result of the second identification device 400 more accurate.
[0050] In this embodiment, the first identification device 200 performs a first round of image acquisition of the target vehicle, forming a multi-faceted image of the target vehicle. Then, the barrier 100 controls the orientation of the second identification device 400, establishing a relative position between the barrier 100 and the second identification device 400. This relative position ensures that the second identification device 400 can acquire an image of the target vehicle when the camera passes through the gate, facilitating secondary identification of the target vehicle's information. Furthermore, the closing action of the barrier 100 controls the image acquisition process of the second identification device 400, thereby controlling the timing of the second identification device 400's acquisition and preventing interference from the first device on one side. Thus, by using multiple identifications to mutually verify information, the problem of the first identification device 200 being falsely triggered or having vehicles mistakenly enter the passage is avoided. Therefore, the validity of the target vehicle's data is ensured through at least two identification confirmations.
[0051] In some embodiments, the second identification device 400 is provided with a linkage mechanism, and the camera of the second identification device 400 is provided with a lens baffle. The linkage mechanism is electrically connected to the gate. When the linkage mechanism detects a lifting signal, it controls the lens baffle to open. The lifting signal is triggered based on the position of the raised barrier 100. When the lens baffle is opened, the second identification device 400 begins to collect images of the target vehicle.
[0052] The linkage mechanism is a control device used to coordinate the lens baffle and the turnstile, so as to control the second recognition device 400 to perform image acquisition when the gate barrier 100 is raised. The linkage mechanism can receive signals including the lifting signal.
[0053] The lens baffle is a camera obstruction component of the second recognition device 400, used to change the range of image acquisition by the camera, thereby reducing information interference to the second recognition device 400. When the lens baffle is open, the camera of the second recognition device 400 can acquire images over a larger area; when the lens baffle is closed, the obstruction area of the camera is large, and image acquisition is impossible.
[0054] In one embodiment, the lifting signal can be obtained through the I / O interface of a relay or switch; for example, when a position sensor set at a preset position detects that the railing 100 has been lifted to the preset position, the position sensor outputs a high level through the I / O interface. This high level is a lifting signal, which is used to control the opening of the lens baffle.
[0055] In this embodiment, by setting the activation signal based on the detected position, the activation time of the second recognition device 400 can be advanced, allowing the second recognition device 400 to be activated more promptly. At the same time, when the linkage mechanism detects the lift signal, it controls the lens baffle to open, thereby reducing information interference to the second recognition device 400, enhancing the image recognition accuracy of the second recognition device 400, and ensuring detection precision.
[0056] In some embodiments, the linkage mechanism controls the lens baffle to close when it detects a barrier drop signal; the barrier drop signal is triggered based on the position where the barrier 100 falls; after the target vehicle passes through the area blocked by the barrier 100, the lens baffle is confirmed to be closed; when the lens baffle is closed, the second recognition device 400 stops acquiring images of the target vehicle.
[0057] In one embodiment, the falling signal can be obtained through the I / O interface of a relay or switch; for example, when a position sensor set at a preset position detects that the railing 100 has fallen to the preset position, the position sensor outputs a low level through the I / O interface. This low level is the falling signal, which is used to control the lens baffle to close.
[0058] In one embodiment, the area intercepted by the guardrail 100 can be determined by the image recognition result output by the first recognition device 200 or the weighing data of the weighbridge device 300.
[0059] In one embodiment, confirming that the lens baffle is closed includes: a linkage mechanism acquiring the state of the lens baffle; if the lens baffle is in an open state, controlling the lens baffle to close; if the lens baffle is in a closed state, keeping the lens baffle closed until a lever-lifting signal is received, as follows: Figure 2 As shown.
[0060] In this embodiment, by detecting the position and setting the barrier signal, the second recognition device 400 can stop recognizing earlier, thus reducing interference information received by the second recognition device 400. Simultaneously, when the barrier signal is detected, the linkage mechanism controls the lens baffle to close, preventing redundancy in the information received by the second recognition device 400 and avoiding overlap between the recognition results of the next vehicle and the target vehicle, thereby further enhancing the image recognition accuracy of the second recognition device 400. Furthermore, after the target vehicle passes through the area intercepted by the barrier 100, the lens baffle is closed again to prevent overlap between the recognition results of the next vehicle and the target vehicle.
[0061] In some embodiments, the gate management system further includes an evidence collection device 500, which is arranged around the gate lane, and the camera of the evidence collection device 500 captures images of the gate lane; the second identification device 400 includes an evidence collection triggering unit; the evidence collection triggering unit is used to activate the evidence collection device 500 when it receives a vehicle identifier generated by the first identification device 200, and the evidence collection device 500 captures images of the target vehicle.
[0062] The evidence collection device 500 is a device that captures images of a target vehicle from multiple angles. It is used to collect images of the target vehicle from different angles to form information about the target vehicle from multiple angles, thereby achieving evidence collection. The evidence collection device 500 includes a camera located on the second side of the gate, which can be the camera of the second recognition device 400; furthermore, the evidence collection device 500 and the second recognition device 400 can each have their own cameras.
[0063] In one embodiment, a trigger-based evidence collection control unit is used to wake up the cargo evidence collection camera group via a WiFi module to take pictures.
[0064] In one embodiment, three evidence-collecting cameras used for cargo detection are activated within 0.5 seconds of receiving the vehicle identification, and images are taken using these three cameras. In one example, it is as follows... Figure 3 As shown.
[0065] In this embodiment, when the evidence collection triggering unit receives the vehicle identification, it controls the evidence collection device 500 so that the image acquisition process of the evidence collection device 500 is matched with the weighing process of the weighbridge device 300, thereby making the weighing data and the cargo status synchronized in time and space, thus making the data more correlated.
[0066] In some embodiments, the second identification device 400 includes a data fusion unit: the data fusion unit is connected to the first identification device 200, and the data fusion unit is used to receive and verify the image recognition result of the first identification device 200, and to identify and associate the target vehicle with the detection results of different devices using the vehicle identifier to obtain a data packet; the detection result includes one or more of the image recognition results of the first identification device 200 and the image recognition results of the second identification device, the weighing data of the weighbridge device 300, and the evidence image data.
[0067] The image recognition result of the first recognition device 200 includes at least license plate information and vehicle identifier (Globally Unique Identifier, GUID), and may also include vehicle model feature code; wherein, the vehicle identifier is a universal identifier within the system; the vehicle model feature code represents the structural information of the target vehicle.
[0068] The image recognition result of the second recognition device 400 is obtained by re-recognizing the target vehicle with the same vehicle identifier; the image recognition result of the second recognition device 400 includes the license plate information recognized by the second recognition device 400. When the image recognition result of the first recognition device 200 matches the image recognition result of the second recognition device 400, the license plate information recognized by the two recognition devices is the same.
[0069] In one embodiment, the data fusion unit connects the license plate recognition device and the vehicle model recognition device via an Ethernet interface, and receives the vehicle identifier (Globally Unique Identifier, GUID) output by the license plate recognition device and the vehicle model feature code output by the vehicle model recognition device.
[0070] In this embodiment, the data fusion unit and the evidence triggering unit of the second identification device 400 each have their own functions. The data fusion unit is used to transfer the dispersed data processing tasks to be executed by the second identification device 400, thereby reducing server dependence and reducing the complexity of the system during transmission.
[0071] In some embodiments, the evidence collection device 500 includes a side evidence collection camera and a top evidence collection camera. The side evidence collection camera is located on the side of the gate lane, and the top evidence collection camera is located above the gate lane and takes a top-down view of the gate lane. When the evidence collection device 500 obtains the vehicle identification sent by the second identification device 400, the side evidence collection camera and the top evidence collection camera perform image acquisition to obtain evidence collection image data.
[0072] In some embodiments, the evidence collection device 500 includes at least one of a side camera and a top camera in the gate lane. The side camera is located on one side of the gate lane and captures vehicle images in the gate lane in a preset direction. The top camera can be fixed to the top support frame or roof of the gate and is used to capture images of the cargo status of the target vehicle.
[0073] In some embodiments, the side cameras capture panoramic views of the left and right sides of the vehicle body, with a 120° overlapping field of view between the two cameras; while the top camera captures a top view of the cargo.
[0074] In this embodiment, by comprehensively analyzing the evidence image data from the side and top of the target vehicle, the cargo loading status of the target vehicle can be analyzed to form image information different from the weighbridge data. Thus, the vehicle's cargo loading status (such as cargo height and covering status) is simultaneously captured and linked to the weighbridge weighing timestamp, forming a dual evidence chain of weight and cargo loading.
[0075] In some embodiments, the first recognition device 200 includes a vehicle model recognition device and a license plate recognition device, the license plate recognition device being electrically connected to the vehicle model recognition device and the second recognition device 400 respectively; the license plate recognition device is located between the vehicle model recognition device and the barrier 100; the vehicle model recognition device generates vehicle model features based on the structure of the target vehicle; the license plate recognition device is used to generate a vehicle identifier corresponding to the license plate based on the license plate information of the target vehicle, and instruct the gate to raise the barrier 100; wherein, the image recognition result of the first recognition device 200 includes the vehicle model features and the vehicle identifier.
[0076] Vehicle model recognition equipment is used in the vehicle model pre-identification stage. Specifically, when the target vehicle is located in the gate pre-lane, the vehicle model recognition equipment is triggered on a straight section 13-24 meters from the gate; the gate pre-lane is part of the gate lane and located on the first side of the gate. The vehicle model recognition equipment performs 3D modeling based on structures such as axle spacing, chassis height, and license plate color, and generates an initial vehicle model feature code based on the modeled 3D image.
[0077] The license plate recognition equipment is used in the vehicle identification generation stage. Specifically, when a vehicle arrives at the license plate recognition area 2-3 meters in front of the gate, the first recognition device 200 is triggered to perform license plate recognition; and the gate opening function is triggered so that the barrier 100 is raised, thereby activating the image acquisition and recognition of the second recognition device 400.
[0078] In this embodiment, the first recognition device 200 is used to obtain vehicle model features and vehicle identification to form multi-dimensional information of the target vehicle, thereby ensuring that the information of the target vehicle is more comprehensive; at the same time, the license plate recognition device is also used to trigger the barrier 100 to lift, so as to form an automated recognition process.
[0079] In some embodiments, the license plate recognition device is further configured to send the vehicle identifier to the vehicle model recognition device and the second recognition device 400; the vehicle model recognition device is configured to, after obtaining the vehicle identifier, perform image acquisition and vehicle model recognition on the target vehicle, and after generating the vehicle model feature, send the vehicle model feature associated with the vehicle identifier to the second recognition device 400.
[0080] In this embodiment, the image acquisition and vehicle recognition process of the vehicle model recognition device takes a long time. Therefore, the license plate recognition device sends vehicle identifiers to both the vehicle model recognition device and the second recognition device 400 to ensure the integrity of the vehicle model features. At the same time, since both the vehicle model recognition device and the license plate recognition device are electrically connected to the second recognition device 400, the vehicle model recognition device can associate the vehicle identifier with the vehicle model features so that the second recognition device 400 can obtain the corresponding data packets for storage more efficiently.
[0081] In some embodiments, the weighbridge device 300 includes a weighbridge embedded platform located on a first side of the gate and at the bottom of the gate lane; and the image acquisition range of the first identification device 200 is adapted to the size of the weighbridge embedded platform; the weighbridge embedded platform is used to weigh the target vehicle when the target vehicle is detected to be located on the weighbridge embedded platform.
[0082] The image acquisition range of the first recognition device 200 is adapted to the size of the weighbridge embedded platform, including that the image acquisition range of the vehicle model recognition device is similar in size to that of the weighbridge embedded platform, so that the two are acquired synchronously.
[0083] The bottom of the gate lane, which is a preset distance from the gate, is equipped with a weighbridge embedded platform; the preset distance can be 2-3 meters; the pressure sensor array of the weighbridge embedded platform outputs a weighing data stream in real time, which is directly transmitted to the second identification device 400 for caching, so as to ensure the corresponding effect through real-time weighing data.
[0084] In one embodiment, a license plate recognition device is installed on one side of the gate lane at a distance of 2–3 meters from the gate for license plate recognition; and a weighbridge embedded platform is installed at the bottom of the gate at a distance of 2–3 meters from the gate for dynamic weighing.
[0085] In this embodiment, the image acquisition range of the first recognition device 200 is adapted to the size of the weighbridge embedded platform, so that the maximum size of the target vehicle that the two can detect is matched, ensuring the reliability of the data.
[0086] In some embodiments, the weighbridge device 300 is electrically connected to the second identification device 400, and the image recognition result includes the identification time; the weighbridge device 300 is used to transmit the weight detected at multiple times to the second identification device 400; the second identification device 400 is used to determine the weight of the target vehicle from the weight detected at the multiple times between the identification time of the first identification device 200 and the identification time of the second identification device 400.
[0087] In an exemplary embodiment, the starting point is the time Ts when the first recognition device 200 performs license plate recognition, and the ending point is the time Te when the second recognition device 400 itself is triggered; data in the range Ts~Te is extracted from the cache and the peak value is taken as the final load value.
[0088] The recognition time is the moment when the recognition device captures an image of the target object and performs recognition. The time between the recognition times of the first recognition device 200 and the second recognition device 400 reflects the time period detected by the weighbridge equipment 300, thereby controlling the corresponding data transmission process.
[0089] In one embodiment, a multi-device collaborative gate management system is provided by integrating license plate recognition equipment, vehicle model recognition equipment, weighbridge equipment 300, secondary entry recognition and confirmation equipment, and surveillance cameras on the access road of the logistics park. Through the combination of equipment structure in a specific spatial layout, the system realizes the full-process automated binding of vehicle identity, load, and cargo status.
[0090] In one embodiment, the first identification device includes a vehicle model identification device and a license plate identification device; the second identification device is an entry secondary identification and confirmation device; the first side of the gate is the front of the gate; the second side of the gate is the rear of the gate. The hardware deployment structure is shown in Table 1. Table 1 is as follows:
[0091] Table 1
[0092]
[0093] The system includes a gate-linked lens baffle, which is linked to the gate's lifting arm via I / O outputs to ensure accurate triggering of obstruction. Dedicated interface groups include: an RS485 / RJ-45 Ethernet interface for connecting to the weighbridge equipment; an RJ-45 Ethernet interface for connecting to the license plate / vehicle type recognition equipment; a WiFi / 4G module for connecting to the ambient panoramic camera; and a TTL / CMOS digital signal interface for connecting to the gate's input / output interfaces. Furthermore, the second recognition device features an IP67-rated rugged housing with built-in heat sinks to withstand the high temperatures of the processor.
[0094] In one example, the workflow of the above system includes the vehicle model pre-identification stage, dynamic weighing stage, license plate recognition and system activation stage, panoramic evidence collection stage, vehicle model data binding stage, cargo status secondary confirmation stage, data fusion stage and evidence chain generation stage.
[0095] The vehicle model pre-identification stage is triggered by structural features. In this stage, when a vehicle enters the channel, the vehicle model recognition device is triggered on a straight section 13-24 meters away from the gate. The device performs three-dimensional modeling based on axle spacing, chassis height, and license plate color to generate an initial vehicle model feature code.
[0096] The dynamic weighing stage is triggered by an embedded structure; during this stage, the weighbridge embedded platform is located 2-3 meters before the vehicle enters the gate; the pressure sensor array outputs a weighing data stream in real time, which is directly transmitted to the field for secondary identification and confirmation of the equipment cache via RS485.
[0097] The license plate recognition and system activation phase is triggered by spatial positioning. During this phase, the vehicle arrives at the license plate recognition area 2-3 meters in front of the gate; the device captures the license plate and generates a GUID, and executes the process simultaneously. Specifically, the GUID is sent to the secondary entry recognition and confirmation device, the GUID is sent to the vehicle type recognition device, and then the gate opening function is triggered.
[0098] The panoramic evidence collection stage is based on hardware linkage triggering; specifically, the secondary entry identification and confirmation device connects directly to the environmental camera via WiFi / 4G; within 0.5 seconds of receiving the GUID, it wakes up three cargo evidence collection cameras: the side cameras capture a panoramic view of the vehicle body (120° overlapping field of view), and the top camera captures a top view of the cargo, thereby obtaining image evidence data. The evidence data with the GUID tag is transmitted back to the secondary entry identification and confirmation device.
[0099] The gate release phase is a coordinated mechanical process; after the license plate recognition data is output, the gate arm is raised through the relay IO output port; after the gate arm is raised to the correct position, an IO signal is input to the secondary recognition confirmation device through the relay IO port to control the lens baffle of the secondary recognition confirmation device to open.
[0100] The vehicle model data binding stage is based on spatial displacement triggering. After the vehicle has completely left the vehicle model recognition device (passing through the 13-24 meter area in front of the gate), the vehicle model recognition device binds the final vehicle model data (vehicle length / number of axles) with the GUID and transmits it to the secondary recognition and confirmation device at the entrance via the RJ-45 Ethernet interface.
[0101] The secondary confirmation stage for cargo status (triggered by the second identification device) occurs after the vehicle's rear passes through the gate. The gate closes, and an I / O signal is input to the secondary identification confirmation device via the relay I / O port, controlling the lens baffle of the secondary identification confirmation device to close. Subsequently, the device immediately generates a high-precision timestamp Te (BeiDou time synchronization ±10ms) and sends a trigger signal to its own data processing module.
[0102] Furthermore, during the data fusion stage, the built-in processor of the secondary entry identification and confirmation device performs the following steps: a) Starting from the license plate recognition time Ts and ending at its own trigger time Te; b) Extracting the weighbridge data stream from the cache for the period Ts to Te; c) Sort and taking the maximum value as the final load; d) Associating the vehicle model feature code, license plate number, panoramic image, and cargo evidence image.
[0103] Finally, during the evidence chain generation stage, the hardware integration outputs the corresponding data packets to generate structured data packets and store them locally on the device.
[0104] The multi-dimensional vehicle description information structure is as follows:
[0105] json
[0106] {
[0107] "Timestamp": "2024-01-01 12:00:00.000",
[0108] "GUID": "SSDF12SF456464SDFSf",
[0109] "License Plate Number": "Ce A12345",
[0110] "Vehicle Model": "6-axis semi-trailer truck",
[0111] "Weight": "50.2 tons",
[0112] "Cargo Evidentiary Data Packets": ["Side view Figure 1 .jpg", "Side view Figure 2 .jpg", "Top view Figure 1 .jpg"]
[0113] }
[0114] In one example, the system is a booth management system, and the processes corresponding to the booth management system include:
[0115] Step 1: The vehicle model recognition device located 13 - 24 meters in front of the turnstile first detects the vehicle, calculates the vehicle characteristics based on the number of axles, vehicle length, and license plate color, and preliminarily determines it as a "6-axis semi-trailer truck".
[0116] Step 2: The vehicle drives onto the weighbridge device located 2 - 3 meters in front of the turnstile. The weighbridge device starts dynamic weighing and outputs the weighing data in real time; among them, it can start from 0 tons, gradually increase, and then decrease. After having multiple consecutive stable states with extremely small differences, the maximum value is determined as the weighing data.
[0117] Step 3: After the vehicle reaches the license plate recognition area 2 - 3 meters in front of the turnstile, the license plate recognition device recognizes the license plate as "Ce A12345", generates a vehicle identifier, and sends this vehicle identifier to the booth management system (cache) and the vehicle model recognition device. Among them, the vehicle identifier can be GUID_123456789.
[0118] Step 4: After receiving the license plate information, the booth management system immediately triggers 3 environmental evidentiary cameras (on both sides and the top) to take pictures and obtains three photos. Among them, the three photos are respectively Side view Figure 1 _20240101_120000.jpg, Side view Figure 2 _20240101_120000.jpg, Top view Figure 3 _20240101_120000.jpg.
[0119] Step 5: The system opens the gate for release.
[0120] Step 6: The vehicle continues to drive. After the entire vehicle body passes through the vehicle type recognition device, the vehicle type recognition device will bind the finally determined vehicle type data (6-axle semi-trailer truck) with the previously received vehicle identification and send it to the toll booth management system.
[0121] Step 7: After the vehicle passes through the gate and enters the site, it triggers the secondary entry identification and confirmation device (located 2-3 meters behind the gate). This device sends an identification tag (including the time Te) to the gate management system.
[0122] Step 8: The gatehouse management system extracts the weighing data from the cached weighbridge data between Ts and Te based on the license plate recognition time Ts (the time in Step 3) and the entry secondary recognition confirmation device time Te. Then, it takes the maximum value as the vehicle weight (e.g., 50.2 tons).
[0123] Step 9: Integrate all data to form a complete vehicle information record.
[0124] The codes for vehicle information recording are as follows:
[0125] Json
[0126] {
[0127] "Timestamp": "2024-01-01 12:00:00.000",
[0128] "GUID": "SSDF12SF456464SDFSf",
[0129] License plate number: "Test A12345"
[0130] Vehicle Type: 6-axle semi-trailer truck
[0131] Weight: 50.2 tons
[0132] "Evidence-gathering data package": ["Side view"] Figure 1 _20240101_120000.jpg", "Side view" Figure 2 _20240101_120000.jpg", "Top View" Figure 3 _20240101_120000.jpg"]
[0133] }
[0134] In the description of this specification, references to terms such as "some embodiments," "other embodiments," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative descriptions of the above terms do not necessarily refer to the same embodiments or examples.
[0135] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0136] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these modifications and improvements all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.
Claims
1. A gate management system, characterized in that, include: The turnstile barrier; The gate's barriers are used to control whether the gate lanes allow the target vehicle to pass. A first identification device is located on a first side of the gate, and the first identification device performs image acquisition and identification on the target vehicle; the target vehicle drives from the first side of the gate to the second side of the gate; A weighbridge device is located on the first side of the gate; the weighbridge device is located at the bottom of the gate lane and is used to weigh the target vehicle when the target vehicle's weighing position before the gate is detected. A second identification device is located on the second side of the gate. When the barrier is raised, the raised position triggers a raising signal, and when the linkage mechanism of the second recognition device detects the raising signal, the second recognition device captures an image of the target vehicle. Specifically, when the image recognition result of the first recognition device matches the image recognition result collected by the second recognition device, the image recognition result of the first recognition device is associated with and stored with the weighing data of the weighbridge.
2. The gate management system according to claim 1, characterized in that, The second identification device is equipped with a linkage mechanism, and the camera of the second identification device is equipped with a lens baffle. The linkage mechanism is electrically connected to the gate. When the linkage mechanism detects the lifting signal, it controls the lens baffle to open; When the lens baffle is opened, the second recognition device begins to capture images of the target vehicle.
3. The gate management system according to claim 2, characterized in that, When the linkage mechanism detects a barrier drop signal, it controls the lens baffle to close; the barrier drop signal is triggered based on the position where the barrier falls. After the target vehicle passes through the area blocked by the barrier, confirm that the lens baffle is closed; When the lens baffle is closed, the second recognition device stops acquiring images of the target vehicle.
4. The gate management system according to claim 1, characterized in that, The gate management system also includes evidence collection equipment, which is set up around the gate lane, and the camera of the evidence collection equipment captures images facing the gate lane; The second identification device includes an evidence collection triggering unit; the evidence collection triggering unit is used to activate the evidence collection device when it receives a vehicle identifier generated by the first identification device, and the evidence collection device takes pictures of the target vehicle to collect evidence.
5. The gate management system according to claim 4, characterized in that, The second identification device includes a data fusion unit: The data fusion unit is connected to the first identification device. The data fusion unit is used to receive and verify the image recognition result of the first identification device, and to identify and associate the target vehicle with the detection results of different devices using the vehicle identifier to obtain a data packet. The detection result includes one or more of the image recognition results of the first identification device and the image recognition results of the second identification device, the weighing data of the weighbridge device, and the evidence image data.
6. The gate management system according to claim 4, characterized in that, The evidence collection device includes a side evidence collection camera and a top evidence collection camera. The side evidence collection camera is located on the side of the gate lane, and the top evidence collection camera is located above the gate lane and takes a downward view of the gate lane. Specifically, when the evidence-collecting device acquires the vehicle identifier sent by the second identification device, the side evidence-collecting camera and the top evidence-collecting camera perform image acquisition to obtain evidence-collecting image data.
7. The gate management system according to claim 1, characterized in that, The first identification device includes a vehicle model identification device and a license plate identification device, wherein the license plate identification device is electrically connected to both the vehicle model identification device and the second identification device; the license plate identification device is located between the vehicle model identification device and the guardrail. The vehicle model recognition device generates vehicle model features based on the structure of the target vehicle; The license plate recognition device is used to generate a vehicle identifier corresponding to the license plate based on the license plate information of the target vehicle, and instruct the gate to raise the barrier. The image recognition result of the first recognition device includes the vehicle model features and the vehicle identifier.
8. The gate management system according to claim 7, characterized in that, The license plate recognition device is also used to send the vehicle identification to the vehicle model recognition device and the second recognition device; The vehicle model recognition device is used to acquire an image of the target vehicle and recognize the vehicle model after obtaining the vehicle identifier, and after generating the vehicle model feature, send the vehicle model feature associated with the vehicle identifier to the second recognition device.
9. The gate management system according to claim 1, characterized in that, The weighbridge equipment includes a weighbridge embedded platform, which is located on the first side of the gate and at the bottom of the gate lane; the image acquisition range of the first recognition device is adapted to the size of the weighbridge embedded platform; the weighbridge embedded platform is used to weigh the target vehicle when the target vehicle is detected to be located on the weighbridge embedded platform.
10. The gate management system according to claim 1, characterized in that, The weighbridge device is electrically connected to the second identification device, and the image recognition result includes the recognition time; The weighbridge device is used to transmit the weight detected at multiple times to the second identification device; The second identification device is used to determine the weight of the target vehicle from the weights detected at the plurality of times between the identification time of the first identification device and the identification time of the second identification device.