High-speed toll station gate post-punching behavior identification method and system, and medium
By installing cameras and sensors in the payment lanes of highway toll stations to monitor vehicle traffic behavior and identify suspicious vehicles, the problem of identifying vehicles that rush through toll booths to evade fees has been solved, and the accuracy of judgment and tracking efficiency have been improved.
Patent Information
- Application Number
- CN202510965712.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-14
- Publication Date
- 2025-09-26
AI Technical Summary
Incidents of vehicles rushing through toll booths to evade tolls occur frequently at highway toll stations, and existing technology makes it difficult to effectively identify and record them, affecting traffic safety management.
Cameras and sensors are installed at the entrances and exits of the payment lanes at highway toll stations. By monitoring the trigger status of the sensors and collecting video from the cameras, the traffic behavior of vehicles can be identified and suspicious vehicles can be determined.
It improves the accuracy of early judgment on checkpoint-breaking behavior, screens out suspicious vehicles, and facilitates subsequent tracking and confirmation of actual checkpoint-breaking behavior.
Smart Images
Figure CN120708416A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of traffic monitoring, and in particular to a method, system and medium for identifying behaviors of rushing through checkpoints at high-speed toll stations. Background Art
[0002] With the continuous growth of traffic volume on highways, incidents of vehicles rushing through highway toll booths to evade fees are becoming increasingly frequent, posing a serious threat to traffic safety management.
[0003] Typical ways of evading fees include: evading fees directly by rushing through the checkpoint, the close distance between the front and rear vehicles causing the rear vehicle to rush through the checkpoint right after the front vehicle passes through the gate, and the front vehicle waiting for the rear vehicle to pay and open the gate so that it can pass through smoothly and evade fees.
[0004] Regarding these cases of rushing to checkpoints and evading fees, how to detect and record them as early as possible and improve the effectiveness of traffic monitoring is a technical problem that needs to be solved urgently. Summary of the Invention
[0005] In view of the above problems, the present invention provides a method, system and medium for identifying behaviors of rushing through checkpoints at high-speed toll stations that overcome the above problems or at least partially solve the above problems.
[0006] In a first aspect, the present invention provides a method for identifying behavior of rushing through a checkpoint at a highway toll station, wherein the highway toll station includes a toll lane, a first camera and a first sensor are provided at the entrance of the toll lane, a second camera, a second sensor, and a gate are provided at the exit, and a third sensor and a fourth sensor are further provided between the entrance and the exit, the third sensor is close to the first sensor, the fourth sensor is close to the second sensor, and the distance between the third sensor and the fourth sensor meets a preset distance, comprising: When the first vehicle triggers the first sensor to enter the toll lane, the first camera and the second camera are controlled to be turned on to capture a first passing video of the first vehicle; monitoring whether the third sensor is triggered when the fourth sensor is triggered by the first vehicle; If so, it is determined that there is a first suspected vehicle following behind the first vehicle and breaking through the checkpoint; When the second vehicle triggers the first sensor to enter the toll lane, the first camera and the second camera are controlled to be turned on to capture a second passing video of the second vehicle; During the preset time period when the second camera is turned on, monitoring whether the second sensor is triggered; If not, monitoring whether the fourth sensor is continuously triggered; If so, the second vehicle is determined to be the second suspected vehicle waiting to break through the checkpoint.
[0007] Preferably, it also includes: Monitor whether the license plate numbers captured by the first camera and the second camera during the same time period are consistent; If not, it is determined that there is a third suspected vehicle that broke through the checkpoint.
[0008] Preferably, a third camera is provided at the top of the toll lane, further comprising: The top features of the vehicle in the toll lane are collected by the third camera to facilitate subsequent vehicle tracking.
[0009] Preferably, a fourth camera is further provided on the side of the toll payment vehicle, the fourth camera being provided near the exit, and further comprising: The fourth camera is used to collect side features of the vehicle in the toll lane to facilitate subsequent vehicle tracking.
[0010] Preferably, it also includes: The first suspect vehicle and the second suspect vehicle are added to a gray list to facilitate further judgment and identification.
[0011] In a second aspect, the present invention further provides a system for identifying behaviors of people rushing through checkpoints at a highway toll station, the highway toll station including a toll lane, a first camera and a first sensor being provided at the entrance of the toll lane, a second camera, a second sensor, and a gate being provided at the exit, and a third sensor and a fourth sensor being provided between the entrance and the exit, the third sensor being close to the first sensor, the fourth sensor being close to the second sensor, and the distance between the third sensor and the fourth sensor meeting a preset distance, comprising: The first control module is configured to control the first camera and the second camera to be turned on when the first vehicle triggers the first sensor to enter the toll lane, so as to capture a first passing video of the first vehicle; a first monitoring module, configured to monitor whether the third sensor is triggered when the fourth sensor is triggered by the first vehicle; a first determining module, configured to determine that if yes, there is a first suspicious vehicle following behind the first vehicle and breaking through the checkpoint; The second control module is configured to control the first camera and the second camera to be turned on when the second vehicle triggers the first sensor to enter the toll lane, so as to capture a second passing video of the second vehicle; A second monitoring module is used to monitor whether the second sensor is triggered within a preset time period when the second camera is turned on; a third monitoring module, configured to monitor whether the fourth sensor is continuously triggered; The second determining module is configured to determine that, if yes, the second vehicle is a second suspected vehicle waiting to break through the checkpoint.
[0012] Preferably, the first sensor, the second sensor, the third sensor and the fourth sensor are any one of the following: Ground sensing coils, gratings, radars.
[0013] Preferably, when the first sensor, the second sensor, the third sensor and the fourth sensor are all ground coils, they are arranged on the ground of the toll lane; When the first sensor, the second sensor, the third sensor and the fourth sensor are all gratings, they are arranged on the side of the toll lane.
[0014] Preferably, it also includes: The cloud server is used to receive and store the first pass video and the second pass video.
[0015] In a third aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which implements the method described in the second aspect when the program is executed by a processor.
[0016] One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages: The present invention provides a method for identifying behaviors of rushing through checkpoints at a high-speed toll station. The high-speed toll station includes a toll lane, a first camera and a first sensor are arranged at the entrance of the toll lane, a second camera, a second sensor and a gate are arranged at the exit, and a third sensor and a fourth sensor are further arranged between the entrance and the exit, the third sensor is close to the first sensor, the fourth sensor is close to the second sensor, and the distance between the third sensor and the fourth sensor meets a preset distance. The method includes: when a first vehicle triggers the first sensor to enter the toll lane, controlling the first camera and the second camera to be turned on to collect a first passing video of the first vehicle; when the fourth sensor is triggered by the first vehicle , monitor whether the third sensor is triggered; if so, determine that there is a first suspected vehicle following the first vehicle to break through the checkpoint; when the second vehicle triggers the first sensor to enter the toll lane, control the opening of the first camera and the second camera to collect the second passing video of the second vehicle; within the preset time of the second camera being turned on, monitor whether the second sensor is triggered; if not, monitor whether the fourth sensor is continuously triggered; if so, determine that the second vehicle is the second suspected vehicle waiting to break through the checkpoint, with the help of the monitoring device in the highway toll station, effectively identify the abnormal behavior of the vehicle and determine it as a suspected vehicle, so as to facilitate further identification and tracking in the future, thereby improving the accuracy of the early judgment of the behavior of breaking through the checkpoint. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. Throughout the drawings, the same reference figures denote the same components. In the drawings: Figure 1 It shows a schematic diagram of the arrangement of various monitoring devices in a high-speed toll station according to an embodiment of the present invention; Figure 2 A schematic diagram showing the steps of a method for identifying behaviors of rushing through checkpoints at high-speed toll stations according to an embodiment of the present invention is shown; Figure 3 The following is a timing diagram showing the triggering signals of various monitoring devices generated by vehicles passing normally in a toll lane according to an embodiment of the present invention; Figure 4 A schematic diagram showing a card-breaking behavior according to an embodiment of the present invention is shown; Figure 5 A schematic diagram showing the behavior of waiting for a card to be cleared in an embodiment of the present invention is shown; Figure 6 A schematic diagram of the structure of a system for identifying behaviors of rushing through checkpoints at high-speed toll stations in an embodiment of the present invention is shown. DETAILED DESCRIPTION
[0018] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.
[0019] Example 1: The embodiment of the present invention provides a method for identifying behaviors of rushing through checkpoints at high-speed toll stations, such as Figure 1 As shown, the highway toll station includes a payment lane, a first camera 101 and a first sensor 102 are set at the entrance of the payment lane, a second camera 103, a second sensor 104 and a gate 105 are set at the exit, and a third sensor 106 and a fourth sensor 107 are further set between the entrance and the exit. The third sensor 106 is close to the first sensor 102, and the fourth sensor is close to the second sensor. The distance between the third sensor and the fourth sensor meets the preset distance, as shown in FIG. Figure 2 As shown, the method includes: S201, when a first vehicle triggers a first sensor to enter a toll lane, controlling to turn on a first camera and a second camera to capture a first passing video of the first vehicle; S202, monitoring whether the third sensor is triggered while the fourth sensor is triggered by the first vehicle; S203: If yes, it is determined that there is a first suspicious vehicle following the first vehicle and breaking through the checkpoint; S204, when the first vehicle triggers the first sensor to enter the toll lane, controlling to turn on the first camera and the second camera to capture a second passing video of the second vehicle; S205, monitoring whether the second sensor is triggered within a preset time period when the second camera is turned on; S206, if not, monitoring whether the fourth sensor is continuously triggered; S207: If yes, determine that the second vehicle is a second suspected vehicle waiting to break through the checkpoint.
[0020] In the present invention, the early stage monitoring is mainly carried out for two situations of card-breaking behaviors, one is following the card-breaking and the other is waiting for the card-breaking.
[0021] Among them, following the car to pass the checkpoint specifically means following the car in front closely, and after the car in front pays the toll and passes, following the car in front closely to evade payment.
[0022] Waiting to pass the gate means waiting in front of the gate, and when the vehicle behind pays, passing through the gate smoothly when it opens, thus avoiding payment.
[0023] No matter which one, it needs to be strictly monitored and investigated.
[0024] like Figure 3 As shown in FIG. 1 , a timing diagram of the trigger signals of each monitoring device caused by a normal vehicle passing through the toll lane starts with the triggering of the first sensor 102 and ends with the triggering of the second sensor 104.
[0025] It shows that the first sensor 102 is triggered for a period of time. At the same time, the second camera 103 is activated and captures a period of video of normal passing vehicles. Then, the third sensor 106 is triggered, and the triggering duration is the duration of the vehicle's passage. When the third sensor 106 is not released, the fourth sensor 107 is also triggered, and the triggering duration is also the duration of the vehicle's passage. After the payment is successful, the gate 105 is triggered and opened. The first camera 101 is turned on after the normal passing vehicle enters its field of view. Finally, the normal passing vehicle triggers the second sensor 104.
[0026] Among them, S201~S203 is the monitoring of following the card-breaking behavior, and S104~S107 is the monitoring of waiting for the card-breaking behavior. Monitoring of card-breaking behaviors, such as Figure 4 : S101 , when the first vehicle A triggers the first sensor 102 to enter the toll lane, the first camera 101 and the second camera 103 are controlled to be turned on to capture a first passing video of the first vehicle A.
[0027] In a specific embodiment, triggering the first sensor 102 activates the first camera 101 and the second camera 103, thereby capturing the traffic status of the first vehicle A entering the toll lane. This triggering method prevents the cameras from being on for extended periods of time, potentially storing a large amount of useless information, while also effectively capturing the status of the entering vehicle.
[0028] Next, S102 is executed to monitor whether the third sensor 106 is triggered while the fourth sensor 107 is triggered by the first vehicle A. S103: If so, it is determined that there is a first suspicious vehicle following behind the first vehicle A that has passed through the checkpoint.
[0029] The distance between the third sensor 106 and the fourth sensor 107 satisfies a predetermined distance, which may be 2.5 to 3 meters. If the following vehicle A follows the first vehicle A within this distance (approximately 1.5 meters), the following vehicle is suspected of following the first vehicle A. In this case, the following vehicle A can be identified as the first suspected vehicle.
[0030] Monitoring of waiting to break through the card, such as Figure 5 : In step S104 , when the second vehicle B triggers the first sensor 102 to enter the toll lane, the first camera 101 and the second camera 103 are controlled to be turned on to capture a second passing video of the second vehicle B. Similarly, the triggering condition for starting video capture is that the first sensor 102 is triggered.
[0031] Next, execute S105 to monitor whether the second sensor 104 is triggered within the preset time period when the second camera 103 is turned on; S106, if not, detect whether the fourth sensor 107 is continuously triggered; S107, if so, determine that the second vehicle B is the second suspected vehicle waiting to pass the checkpoint.
[0032] By setting a preset time length, it is monitored whether the second vehicle B successfully passes through the gate 105 after the preset time length and triggers the second sensor 104 to leave the toll lane. The preset time length is slightly longer than the time required for a normal vehicle to pass. If after the preset time length, it is detected that the second vehicle B has not passed smoothly, and it is also detected that the second vehicle B is at the first sensor 107, the fourth sensor 107 is triggered for a long time. For example, the time length for which the fourth sensor 107 is triggered is based on the time length when a normal vehicle passes. When the fourth sensor 107 is still triggered after exceeding the time length, it is determined that the fourth sensor is continuously triggered. Therefore, it is determined that the second vehicle B is the second suspected vehicle waiting to break through the checkpoint.
[0033] The above two confirmation methods are both ways to identify suspicious vehicles. As to whether there is a real checkpoint-breaking behavior, further judgment is needed. The present invention focuses on screening suspicious vehicles so as to focus on them.
[0034] In addition to the above confirmation methods, it is also possible to monitor whether the license plate numbers of vehicles arriving at the same time period captured by the first camera 101 and the second camera 102 are consistent. If not, it is determined that there is a third suspected vehicle that has broken through the checkpoint.
[0035] This monitoring method is used to assist in determining whether the two aforementioned checkpoint-breaking behaviors exist. Since the aforementioned waiting checkpoint-breaking and following checkpoint-breaking behaviors may result in missed detections, the first camera 101 and the second camera 103 simultaneously capture inconsistent license plate numbers, thereby determining that the distance between the front and rear vehicles is relatively close, and there is suspicion of checkpoint-breaking.
[0036] Specifically, when the distance between the front and rear vehicles is relatively large, the license plate numbers captured by the first camera 101 and the second camera 103 at the same time are identical, i.e., the front and rear license plate numbers of the same vehicle. When the distance between the front and rear vehicles is relatively close, the license plate numbers captured by the first camera 101 and the second camera 103 at the same time include the front license plate number of the front vehicle and the rear license plate number of the rear vehicle, which are obviously inconsistent license plate numbers.
[0037] In an optional embodiment, a third camera is provided on the top of the toll lane, and the method further includes: The top features of the vehicle in the toll lane are captured by a third camera to facilitate subsequent vehicle tracking.
[0038] In addition, the third camera collects information about the vehicle on top and can also determine the distance between the front and rear vehicles to make up for the missed detection of the sensor.
[0039] Among them, the field of view (FOV) of the third camera can be as wide as possible in the direction of the toll lane, so that it can capture the panoramic view from the entrance to the exit of the toll lane, and can extend as far as possible to capture the scene after the vehicle drives out of the lane.
[0040] In an optional embodiment, a fourth camera is further provided on the side of the toll lane, and the fourth camera is arranged near the exit so that the features of the side of the vehicle can be clearly captured when the vehicle stops in front of the gate 105.
[0041] In a specific embodiment, the fourth camera is tilted toward the entrance of the toll lane so as to capture the license plate number of the vehicle as much as possible.
[0042] The method of setting up cameras in front and behind the toll lane avoids the problem of one of the cameras failing due to the vehicle's high beam. In addition, the vehicle traffic videos collected by the front and rear cameras can be used for multi-angle behavioral analysis.
[0043] In an optional embodiment, the method further includes: adding the first suspected vehicle and the second suspected vehicle to a gray list to facilitate subsequent further judgment and identification.
[0044] By adding those identified as the first suspect vehicle or the second suspect vehicle to the gray list, we focus on it and determine whether there is any real checkpoint-breaking behavior, so as to facilitate subsequent tracking.
[0045] When it is determined through analysis that the first suspect vehicle or the second suspect vehicle is the one that actually broke through the checkpoint, it will be added to the blacklist and the video of the moment when the vehicle broke through the checkpoint will be used as proof.
[0046] For vehicles that directly break through the checkpoint, effective judgment can be made through the collected traffic video.
[0047] One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages: The present invention provides a method for identifying behaviors of rushing through checkpoints at a high-speed toll station. The high-speed toll station includes a toll lane, a first camera and a first sensor are arranged at the entrance of the toll lane, a second camera, a second sensor and a gate are arranged at the exit, and a third sensor and a fourth sensor are further arranged between the entrance and the exit, the third sensor is close to the first sensor, the fourth sensor is close to the second sensor, and the distance between the third sensor and the fourth sensor meets a preset distance. The method includes: when a first vehicle triggers the first sensor to enter the toll lane, controlling the first camera and the second camera to be turned on to collect a first passing video of the first vehicle; when the fourth sensor is triggered by the first vehicle , monitor whether the third sensor is triggered; if so, determine that there is a first suspected vehicle following the first vehicle to break through the checkpoint; when the second vehicle triggers the first sensor to enter the toll lane, control the opening of the first camera and the second camera to collect the second passing video of the second vehicle; within the preset time of the second camera being turned on, monitor whether the second sensor is triggered; if not, monitor whether the fourth sensor is continuously triggered; if so, determine that the second vehicle is the second suspected vehicle waiting to break through the checkpoint, with the help of the monitoring device in the highway toll station, effectively identify the abnormal behavior of the vehicle and determine it as a suspected vehicle, so as to facilitate further identification and tracking in the future, thereby improving the accuracy of the early judgment of the behavior of breaking through the checkpoint.
[0048] Example 2 Based on the same inventive concept, the present invention also provides a high-speed toll station checkpoint rushing behavior recognition system, the high-speed toll station includes a payment lane, a first camera and a first sensor are set at the entrance of the payment lane, a second camera, a second sensor and a gate are set at the exit, and a third sensor and a fourth sensor are further set between the entrance and the exit, the third sensor is close to the first sensor, the fourth sensor is close to the second sensor, and the distance between the third sensor and the fourth sensor meets the preset distance, which is characterized in that, Figure 6 Shown, including: The first control module 601 is configured to control the first camera and the second camera to be turned on when the first vehicle triggers the first sensor to enter the toll lane, so as to capture a first passing video of the first vehicle; A first monitoring module 602 is configured to monitor whether the third sensor is triggered when the fourth sensor is triggered by the first vehicle; The first determining module 603 is configured to determine that if yes, there is a first suspicious vehicle following behind the first vehicle and breaking through the checkpoint; The second control module 604 is configured to control the first camera and the second camera to be turned on when the second vehicle triggers the first sensor to enter the toll lane, so as to capture a second passing video of the second vehicle; The second monitoring module 605 is used to monitor whether the second sensor is triggered within a preset time period when the second camera is turned on; A third monitoring module 606 is configured to monitor whether the fourth sensor is continuously triggered; The second determining module 607 is configured to determine that if yes, the second vehicle is a second suspicious vehicle waiting to pass through a checkpoint.
[0049] In an optional embodiment, the first sensor, the second sensor, the third sensor, and the fourth sensor are any one of the following: Ground sensing coils, gratings, radars.
[0050] In an optional embodiment, when the first sensor, the second sensor, the third sensor, and the fourth sensor are all ground coils, they are arranged on the ground of the toll lane; When the first sensor, the second sensor, the third sensor and the fourth sensor are all gratings, they are arranged on the side of the toll lane.
[0051] Of course, when radar is used as a sensor, it is installed on the side of the toll lane.
[0052] In an optional embodiment, the method further includes: The cloud server is used to receive and store the first pass video and the second pass video.
[0053] Through the highway toll station checkpoint rushing behavior recognition system, the checkpoint rushing behavior of passing vehicles can be effectively predicted, serving as an early warning and facilitating effective tracking later.
[0054] Example 3: Based on the same inventive concept, an embodiment of the present invention provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps of the above-mentioned method for identifying checkpoint-breaking behavior at a highway toll station are implemented.
[0055] The algorithm and display provided herein are not inherently related to any particular computer, virtual system or other device. Various general-purpose systems can also be used together with the teachings based on this. According to the above description, it is obvious that the structure required for constructing this type of system. In addition, the present invention is not directed to any specific programming language. It should be understood that various programming languages can be utilized to realize the content of the present invention described herein, and the above description of specific languages is for the purpose of disclosing the best mode of the present invention.
[0056] In the description provided herein, numerous specific details are described. However, it is understood that embodiments of the present invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques are not shown in detail so as not to obscure the understanding of this description.
[0057] Similarly, it should be understood that in order to streamline the present invention and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting an intention that the claimed invention requires more features than those explicitly recited in each embodiment. Rather, as reflected in each embodiment, inventive aspects lie in fewer than all the features of the individual embodiments previously disclosed. Accordingly, the claims that follow the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of the present invention.
[0058] Those skilled in the art will appreciate that the modules in the devices of the embodiments can be adaptively modified and installed in one or more devices different from the embodiments. The modules, units, or components in the embodiments can be combined into a single module, unit, or component, and furthermore, they can be divided into multiple sub-modules, sub-units, or sub-components. All features disclosed in this specification (including the accompanying claims, abstract, and drawings), and all processes or units of any method or device disclosed therein, can be combined in any combination, unless at least some of such features and / or processes or units are mutually exclusive. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) may be replaced by an alternative feature that serves the same, equivalent, or similar purpose.
[0059] Furthermore, those skilled in the art will appreciate that although some embodiments herein include certain features included in other embodiments but not other features, combinations of features from different embodiments are intended to be within the scope of the present invention and to form different embodiments. For example, in a specific embodiment, any one of the claimed embodiments may be used in any combination.
[0060] The various component embodiments of the present invention may be implemented in hardware, as software modules running on one or more processors, or as a combination thereof. Those skilled in the art will appreciate that, in practice, a microprocessor or digital signal processor (DSP) may be used to implement some or all of the functions of some or all of the components of the high-speed toll station checkpoint behavior recognition system according to the embodiments of the present invention. The present invention may also be implemented as a device or apparatus program (e.g., a computer program or computer program product) for executing part or all of the methods described herein. Such a program implementing the present invention may be stored on a computer-readable medium or in the form of one or more signals. Such signals may be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.
[0061] It should be noted that the above embodiments illustrate rather than limit the invention, and that those skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between brackets should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising several different elements and by means of appropriately programmed computers. In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third etc. does not indicate any order. These words may be interpreted as names.
Claims
1. A method for identifying behavior of rushing through a checkpoint at a highway toll station, wherein the highway toll station includes a toll lane, a first camera and a first sensor are provided at the entrance of the toll lane, a second camera, a second sensor, and a gate are provided at the exit, and a third sensor and a fourth sensor are further provided between the entrance and the exit, wherein the third sensor is close to the first sensor, the fourth sensor is close to the second sensor, and the distance between the third sensor and the fourth sensor meets a preset distance, characterized in that: include: When the first vehicle triggers the first sensor to enter the toll lane, the first camera and the second camera are controlled to be turned on to capture a first passing video of the first vehicle; monitoring whether the third sensor is triggered when the fourth sensor is triggered by the first vehicle; If so, it is determined that there is a first suspected vehicle following behind the first vehicle and breaking through the checkpoint; When the second vehicle triggers the first sensor to enter the toll lane, the first camera and the second camera are controlled to be turned on to capture a second passing video of the second vehicle; During the preset time period when the second camera is turned on, monitoring whether the second sensor is triggered; If not, monitoring whether the fourth sensor is continuously triggered; If so, the second vehicle is determined to be the second suspected vehicle waiting to break through the checkpoint.
2. The method according to claim 1, wherein Also includes: Monitor whether the license plate numbers captured by the first camera and the second camera during the same time period are consistent; If not, it is determined that there is a third suspected vehicle that broke through the checkpoint.
3. The method according to claim 1, wherein A third camera is provided on the top of the toll lane, further comprising: The top features of the vehicle in the toll lane are collected by the third camera to facilitate subsequent vehicle tracking.
4. The method according to claim 1, wherein A fourth camera is also provided on the side of the toll payment vehicle, and is provided near the exit, and further includes: The fourth camera is used to collect side features of the vehicle in the toll lane to facilitate subsequent vehicle tracking.
5. The method according to claim 1, wherein Also includes: The first suspect vehicle and the second suspect vehicle are added to a gray list to facilitate further judgment and identification.
6. A system for identifying behavior of people rushing through checkpoints at a highway toll station, the highway toll station including a toll lane, a first camera and a first sensor being provided at the entrance of the toll lane, a second camera, a second sensor, and a gate being provided at the exit, and a third sensor and a fourth sensor being provided between the entrance and the exit, the third sensor being close to the first sensor, the fourth sensor being close to the second sensor, and the distance between the third sensor and the fourth sensor meeting a preset distance, characterized in that: include: The first control module is configured to control the first camera and the second camera to be turned on when the first vehicle triggers the first sensor to enter the toll lane, so as to capture a first passing video of the first vehicle; a first monitoring module, configured to monitor whether the third sensor is triggered when the fourth sensor is triggered by the first vehicle; a first determining module, configured to determine that if yes, there is a first suspicious vehicle following behind the first vehicle and breaking through the checkpoint; The second control module is configured to control the first camera and the second camera to be turned on when the second vehicle triggers the first sensor to enter the toll lane, so as to capture a second passing video of the second vehicle; A second monitoring module is used to monitor whether the second sensor is triggered within a preset time period when the second camera is turned on; a third monitoring module, configured to monitor whether the fourth sensor is continuously triggered; The second determining module is configured to determine that, if yes, the second vehicle is a second suspected vehicle waiting to break through the checkpoint.
7. The system according to claim 6, wherein: The first sensor, the second sensor, the third sensor, and the fourth sensor are any one of the following: Ground sensing coils, gratings, radars.
8. The system according to claim 7, wherein: When the first sensor, the second sensor, the third sensor and the fourth sensor are all ground coils, they are installed on the ground of the toll lane; When the first sensor, the second sensor, the third sensor and the fourth sensor are all gratings, they are arranged on the side of the toll lane.
9. The system according to claim 6, wherein: Also includes: The cloud server is used to receive and store the first pass video and the second pass video.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.