TWI835269B - Anti-theft and brushing methods of ETC systems, ETC systems, computer-readable media and computer equipment - Google Patents

Abstract

The invention relates to an anti-theft and brushing method of an ETC system and an ETC system. The method includes: obtaining the identification information and location information of the vehicle from the vehicle; retrieving the attribute information of the vehicle according to the identification information of the vehicle; triggering the acquisition of image information of the vehicle when the vehicle passes through a prescribed detection area, and according to the The attribute information of the vehicle is obtained through image information recognition; it is judged whether the attribute information of the retrieved vehicle matches the attribute information of the identified vehicle, and if it is judged that the two do not match, an alarm indicating the risk of theft is issued. The vehicle will be released if it is judged that the two match. According to the invention, illegal intrusion vehicles at ETC bayonet can be effectively identified and timely alarms can be given for illegal intrusion behaviors.

Description

Anti-theft and brushing methods of ETC systems, ETC systems, computer-readable media and computer equipment

The present invention relates to ETC technology, and specifically to an anti-theft and brushing method of the ETC system and the ETC system.

The ETC system (Electronic Toll Collection) realizes toll collection without stopping the vehicle. Its principle is: the ETC system realizes non-stop toll collection through wireless communication and information exchange between the on-board unit system installed on the vehicle and the roadside unit system installed in the toll station lane. Parking charges apply.

FIG. 1 is a schematic diagram showing a vehicle passing through a conventional ETC system.

In the existing ETC system, when a vehicle passes through the ETC bayonet, as shown in Figure 1, when the illegally intruding vehicle A (i.e., the vehicle on the front side in the driving direction in Figure 1) has entered the ETC bayonet channel, At this time, the normally traveling vehicle B (that is, the vehicle on the rear side in the driving direction in Figure 1) enters the ETC bayonet. When the normally traveling vehicle B passes the first coil detector, the ETC system will detect the normally traveling vehicle B. Vehicle B behind the vehicle completes the ETC deduction normally and then opens the traffic barrier. However, vehicle A in front of the vehicle that has illegally broken in has already inserted This will cause the illegally trespassing vehicle A to pass through the ETC bayonet first, while the normally traveling vehicle B behind will be unable to pass the ETC bayonet.

According to the problems existing in the above-mentioned prior art, it is necessary to propose a solution that can restrict the illegal intrusion vehicles in Figure 1 from passing through the ETC bayonet.

In view of the above problems, the present invention aims to provide an anti-theft brushing method and an ETC system that can promptly warn illegally intruded vehicles.

The anti-theft brushing method of the ETC system in one aspect of the present invention is characterized by including: an information acquisition step, obtaining the identification information and location information of the vehicle from the vehicle; and an information retrieval step, retrieving the attributes of the vehicle according to the identification information of the vehicle. Information, in which the correspondence between the vehicle's identification information and attribute information is pre-stored; the attribute identification step triggers the acquisition of image information of the vehicle when the vehicle passes through the specified detection area, and the vehicle is identified based on the image information The attribute information; the information matching step determines whether the attribute information of the vehicle retrieved in the information retrieval step matches the attribute information of the vehicle identified in the attribute identification step. If it is determined that the two do not match, continue the following theft process. In the brush alarm step, if the two are judged to match, proceed to the following vehicle release steps; in the theft alarm step, an alarm indicating the risk of theft is issued; and in the vehicle release step, the traffic railing of the ETC system is controlled to be raised to release the vehicle.

Optionally, the attribute information includes vehicle color information and vehicle model information.

Optionally, between the information retrieval step and the attribute identification step, a preceding vehicle determination step is further included to determine whether there is already a vehicle in the prescribed detection area and whether the traffic barrier of the ETC system is in a down state or a raised state. .

Optionally, if it is determined in the preceding vehicle determination step that a vehicle already exists in the prescribed detection area and the traffic barrier of the ETC system is in a down state, jump to the theft alarm step.

Optionally, if it is determined in the preceding vehicle determination step that a vehicle already exists in the prescribed detection area and the traffic barrier of the ETC system is in a raised state, the attribute identification step continues.

Optionally, if it is determined in the preceding vehicle determination step that there is no vehicle in the prescribed detection area, then continue the attribute identification step.

Optionally, the attribute identification step includes: judging whether the vehicle passes through the prescribed detection area based on the location information; triggering the acquisition of image information of the vehicle when it is judged that the vehicle passes through the prescribed detection area; and based on the location information. Described image information recognition is used to obtain vehicle attribute information.

Optionally, the attribute identification step further includes: identifying the vehicle position based on the image information, and the information matching step further includes: determining the vehicle position identified based on the image information in the attribute identification step and Whether the location information obtained in the information acquisition step is consistent, and when judging whether the two are consistent In this case, continue to determine whether the attribute information of the vehicle retrieved in the information retrieval step matches the attribute information of the vehicle identified in the attribute identification step.

Optionally, identifying the vehicle's attribute information based on the image information is implemented through a deep learning algorithm.

Optionally, obtaining the vehicle position based on the image information recognition is implemented through the YOLO model or the FasterRCNN model.

Optionally, the prescribed detection area is an area of prescribed size located in front of the traffic railing.

The roadside unit system of the ETC system in one aspect of the present invention is characterized by including: a lane camera, which is used to obtain image information of the vehicle when it is triggered when the vehicle passes through a specified detection area; and a vehicle attribute detection module, which is used to detect the Recognize the image information to obtain the attribute information of the vehicle; the road end controller is used to obtain the identification information and location information of the vehicle from the vehicle and retrieve the attribute information of the corresponding vehicle based on the identification information, and use the vehicle attribute detection module The identified attribute information is matched with the attribute information of the corresponding vehicle retrieved. If the two match, a railing control instruction for raising the pole is sent to the following railing controller. If the two do not match, the railing control command for raising the pole is sent to the following railing controller. The alarm device issues an alarm instruction; the railing controller is used to control the rise and fall of the traffic railing according to the railing control instruction from the road end controller; and the alarm device is used to issue an alarm according to the alarm instruction from the road end controller.

Optionally, the vehicle attribute detection module is also used to detect the image The information is identified to obtain the vehicle position. The road-end controller is also used to determine whether the vehicle position recognized by the vehicle attribute detection module is consistent with the vehicle position information obtained from the vehicle.

Optionally, the railing controller is also configured to send railing status information indicating whether the traffic railing has fallen to the vehicle-mounted controller.

Optionally, when the road end controller determines based on the vehicle position that the vehicle has not passed through the specified detection area, it triggers the lane camera to acquire the image information of the vehicle and compares the acquired image information with the vehicle attributes. The attribute information of the vehicle identified by the detection module is matched with the attribute information of the corresponding vehicle retrieved, and if the two do not match and the railing status information from the railing controller indicates that the traffic railing has fallen, the alarm device is Issue an alarm command.

Optionally, the vehicle attribute detection module recognizes and obtains the vehicle attribute information based on the image information through a deep learning method.

Optionally, the vehicle attribute detection module recognizes and obtains the vehicle position based on the image information through the YOLO model or the FasterRCNN model.

Optionally, the prescribed detection area is an area of prescribed size located in front of the traffic railing.

Optionally, the attribute information includes vehicle color information and vehicle model information.

The vehicle-mounted unit system of the ETC system in one aspect of the present invention is characterized by including: a positioning module for obtaining the location information of the vehicle; a vehicle-mounted terminal controller, Used to communicate with the roadside unit system of the ETC system, used to send the identification information of the vehicle and the location information obtained by the positioning module to the roadside unit system; and the ETC deduction function module, used to deduct fees according to the execution action.

Optionally, the positioning module uses Beidou high-precision positioning wafers.

In one aspect of the present invention, a computer-readable medium has a computer program stored thereon, and is characterized in that when the computer program is executed by a processor, the anti-theft and brushing method of the ETC system is implemented.

A computer device in one aspect of the present invention includes a storage module, a processor, and a computer program stored on the storage module and executable on the processor. The feature is that when the processor executes the computer program, the Anti-theft and brushing method of ETC system.

According to the anti-theft brushing method and the ETC system of the present invention, by adding a road-side controller and a vehicle detection module to the ETC roadside unit, illegal intrusion vehicles at the ETC bayonet can be effectively identified and timely alarms given for illegal intrusion behaviors. On the other hand, by adding a Beidou high-precision positioning chip to the ETC vehicle unit, the position between the vehicle and the automatic railing can be accurately measured, thereby accurately controlling the lifting timing of the automatic railing, effectively preventing illegally intruding vehicles from passing the ETC bayonet.

100: Vehicle-mounted unit system

110: Vehicle-mounted controller

120: Positioning module

130:ETC deduction function module

200:Roadside unit system

210: Road side controller

220: Vehicle attribute detection module

230: Lane camera

240:railing controller

250:Alarm device

S1~S21: steps

S100~S600: steps

Figure 1 is a schematic diagram showing a vehicle passing through the existing ETC system; Figure 2 is a schematic flow chart of the anti-theft brushing method of the ETC system of the present invention; Figure 3 is a structural block diagram of the ETC system according to one embodiment of the present invention; and Figure 4 shows the anti-theft brushing method implemented by the ETC system according to the embodiment of the present invention. Signal trend diagram of the specific process of the method.

Described below are some of the various embodiments of the invention and are intended to provide a basic understanding of the invention. It is not intended to identify key or critical elements of the invention or to limit the scope of the invention.

For brevity and explanatory purposes, the principles of the invention are described herein primarily with reference to exemplary embodiments thereof. However, those skilled in the art will readily recognize that the same principles are equally applicable to all types of anti-theft methods of ETC systems as well as ETC systems and that these same principles can be implemented therein, and that any such changes do not depart from the true spirit and scope of this patent application.

Furthermore, in the following description, reference is made to the accompanying drawings, which illustrate specific exemplary embodiments. Electrical, mechanical, logical, and structural changes may be made in these embodiments without departing from the spirit and scope of the invention. Furthermore, although features of the invention are disclosed in connection with only one of several implementations/embodiments, such features may be combined with other implementations as may be desirable and/or advantageous for any given or identifiable function. / combined with one or more other features of the embodiments. Therefore, next The description herein is not to be taken in a limiting sense, and the scope of the invention is defined by the appended claims and their equivalents.

Words such as "having" and "comprising" mean that in addition to having units (modules) and steps that are directly and clearly stated in the description and claims, the technical solution of the present invention does not exclude having units (modules) and steps that are not directly or explicitly stated in the claims. The case for other units (modules) and steps clearly stated.

Figure 2 is a schematic flow chart of the anti-theft brushing method of the ETC system of the present invention.

As shown in Figure 2, the anti-theft method of the ETC system of the present invention includes the following steps: Information acquisition step S100: Obtain the identification information and location information of the vehicle from the vehicle; Information retrieval step S200: According to the identification obtained in the information acquisition step Information retrieval obtains the attribute information of the vehicle (such as the vehicle's color information and vehicle model information), in which the correspondence between the vehicle's identification information and attribute information is pre-stored; attribute identification step S300: triggered when the vehicle passes through the specified detection area Obtain the image information of the vehicle and monitor the vehicle position, and identify the attribute information of the vehicle according to the image information; information matching step S400: determine the attribute information obtained in the information retrieval step S200 and the attribute identification step Whether the attribute information identified in S300 matches, if it is determined that the two do not match, continue with the following theft alarm step S500. After determining If the two match, continue with the following vehicle release step S600; and the theft alarm step S500: if it is determined that the two do not match in the information matching step, issue an alarm indicating that there is a risk of theft; and the vehicle Release step S600: If it is determined in the information matching step S400 that the two match, control the traffic barrier of the ETC system to lift to release the vehicle.

The attribute information includes vehicle color information and vehicle model information.

Further included between the information retrieval step S200 and the attribute identification step S300 (not shown): a preceding vehicle determination step to determine whether a vehicle already exists in the prescribed detection area and whether the traffic barrier of the ETC system is in a down state. .

Wherein, if it is determined in the preceding vehicle determination step that a vehicle already exists in the prescribed detection area and the traffic barrier of the ETC system is in a down state, the process jumps to the theft alarm step S500.

Wherein, if it is determined in the preceding vehicle determination step that there is already a vehicle in the prescribed detection area and the traffic barrier of the ETC system is in a raised state, then the attribute identification step continues.

Wherein, if it is determined in the preceding vehicle determination step that there is no vehicle in the predetermined detection area, then the attribute identification step S300 is continued.

As an example, the attribute identification step S300 includes: determining whether the vehicle passes the specified detection based on the location information from the vehicle. area; when it is determined that the vehicle passes the prescribed detection area, the acquisition of image information of the vehicle is triggered; and the attribute information of the vehicle is obtained based on the image information recognition.

Optionally, the attribute identification step further includes: identifying the vehicle position according to the image information, and the information matching step further includes: judging the vehicle position identified according to the image information and the vehicle position in the information acquisition step. Whether the location information is consistent, and if it is determined that the two are consistent, continue to determine whether the attribute information obtained in the information retrieval step matches the attribute information identified in the attribute identification step.

Among them, the identification of vehicle attribute information based on the image information is achieved through deep learning methods.

Among them, the position of the vehicle is obtained based on the image information recognition through the YOLO model or the FasterRCNN model.

Wherein, the prescribed detection area is an area of a prescribed size located in front of the traffic railing.

Next, an ETC system and an ETC anti-theft method according to an embodiment of the present invention will be described.

Figure 3 shows the structural diagram of an ETC system according to one embodiment of the present invention. block diagram.

As shown in FIG. 3 , an ETC system according to one embodiment of the present invention includes: a vehicle-mounted unit system 100 and a roadside unit system 200 .

Among them, the vehicle-mounted unit system 100 includes: a vehicle-mounted controller 110, a positioning module 120, and an ETC deduction function module 130. The roadside unit system 200 includes: a roadside controller 210, a vehicle attribute detection module 220, a lane camera 230, a railing controller 240 and an alarm device 250.

The main process of the anti-theft method implemented by the ETC system in this embodiment is as follows: when the vehicle enters the ETC bay, the vehicle-mounted controller 110 uploads the vehicle ID to the road-side controller 210, and the vehicle-mounted controller 110 controls the positioning module 120 to obtain The vehicle's location information, the vehicle-side controller 110 and the road-side controller 210 share the vehicle's location information in real time; the road-side controller 210 retrieves the corresponding vehicle's vehicle attributes (such as vehicle color, model, etc.) in the database based on the uploaded vehicle ID. and other information); before the incoming vehicle reaches the detection area in front of the traffic railing, the road end controller 210 controls the lane camera 230 and the vehicle attribute detection module 220 to monitor the vehicle position. If there is no vehicle in front of the traffic railing, it will wait for normal driving. When a vehicle enters the detection area, if the traffic railing falls and there is a parked vehicle in the detection area in front of the traffic railing, but according to the location information reported by the normal driving vehicle, it can be seen that it has not entered the detection area, then the vehicle is illegal An intruding vehicle will be alarmed by the alarm device 250. On the other hand, if the traffic railing is raised and there is a vehicle parked in front of the traffic railing, then the vehicle is the previous vehicle that has not exited; when the incoming vehicle reaches the traffic railing, When detecting an area, the lane camera 230 and the vehicle attribute detection module 220 are controlled to identify the attribute information of the vehicle (such as model, color, etc.), and match it with the attribute information of the vehicle retrieved from the database. If the match is successful, it is normal. After completing the subsequent deduction process, if the matching is unsuccessful, the vehicle is an illegal break-in vehicle, and the alarm device 250 will issue an alarm.

Below, the specific functions of each component in the vehicle-mounted unit system 100 and the roadside unit system 200 will be described.

In the vehicle-mounted unit system 100, the positioning module 120 uses the Beidou high-precision positioning chip to obtain the position information of the vehicle. The vehicle-mounted controller 110 is used to communicate with the road-side controller 210 and send the identification information (such as vehicle ID) and location information of the vehicle to the road-side controller 210 . The ETC deduction function module 130 is used to perform deductions according to the deduction instructions.

In the roadside unit system 200, the lane camera 230 is used to capture a prescribed detection area and obtain the image information of the vehicle. The vehicle attribute detection module 220 is used to identify the attribute information of the vehicle and the vehicle's attribute information based on the image information of the vehicle acquired by the lane camera 230. Location. The railing controller 240 is used to send the railing status information of whether the passing railing is raised to the road end controller 210 and control whether the passing railing is raised according to the railing control instructions from the road end controller 210. The alarm device 250 is based on the signal from the road end The alarm instruction of the controller 210 issues an alarm.

Among them, the road-side controller 210 is used to query the attribute information of the registered vehicle based on the vehicle identification information sent by the vehicle-mounted controller 110, and is used to determine whether the vehicle has entered the traffic barrier based on the location information from the vehicle-mounted controller 110. area, used to compare whether the attribute information of the vehicle identified by the vehicle attribute detection module 220 matches the attribute information of the registered vehicle queried. When the vehicle attribute information matches and the vehicle is located in the detection area in front of the traffic barrier, the vehicle terminal is The controller 110 issues a deduction instruction and controls the railing controller 240 to lift the pass rail according to the deduction completion response. On the other hand, if the vehicle attribute information does not match, it issues an alarm instruction to the alarm device 250 .

Moreover, the road side controller 210 is also used to compare the attribute information of the vehicle recognized by the vehicle attribute detection module 220 when it is determined based on the position information from the vehicle end controller 110 that the vehicle has not entered the detection area in front of the traffic barrier. Whether it matches the queried attribute information of the registered vehicle, if the vehicle attribute information does not match and the railing status information from the railing controller 240 indicates that the traffic railing has fallen, an alarm instruction is issued to the alarm device 250 .

Hereinafter, the process of the anti-theft method implemented by the ETC system of this embodiment will be described in detail.

Figure 4 is a schematic diagram of the signal trend of the anti-theft brushing method implemented by the ETC system in this embodiment.

As shown in Figure 4, the specific steps of the anti-theft method implemented by the ETC system of this embodiment include: Step S1: When the vehicle enters the coil detection area at the entrance of the ETC system, that is, the shadow area of the coil detector in Figure 1 , the vehicle-mounted unit system 100 begins to communicate and interact with the roadside unit system 200, in which the vehicle-mounted controller 110 uploads the identification information of the vehicle (such as the vehicle ID) to the road-side controller 210, and the vehicle-mounted controller 110 locates the module. 120 obtains the vehicle's location information and uploads it to the road-side controller 210 immediately, that is, the vehicle's location information is shared with the roadside unit system 200; Step S2: The road-side controller 210 retrieves the vehicle corresponding to the identification information based on the received identification information. Attribute information (for example, including: vehicle color, vehicle model, etc.); Step S3: The road end controller 210 controls the lane camera 230 to photograph the detection area in front of the traffic barrier (equivalent to the area where the preceding vehicle A is located in Figure 1); Step S4: The lane camera 230 sends the captured image information to the vehicle attribute detection module 220; Step S5: The vehicle attribute detection module 220 determines whether there is a vehicle in the detection area in front of the traffic barrier based on the image information. If there is no vehicle, proceed. Go to Step S6, if there is a vehicle, jump to Step S17; Step S6: The road end controller 210 determines whether the normally traveling vehicle enters the inspection area in front of the traffic barrier based on the vehicle position information shared from the vehicle-mounted unit system 100. If the determination is yes, then proceed to step S7, otherwise repeat step S6 until the vehicle enters the detection area in front of the traffic railing; Step S7: The road end controller 210 controls the lane camera 230 to photograph the detection area in front of the traffic railing; Step S8 : The lane camera 230 sends the captured image information to the vehicle attribute detection module 220; Step S9: The vehicle attribute detection module 220 identifies the vehicle attributes and vehicle position of the vehicle in front of the traffic barrier from the image information and sends it to the road end. Controller 210; Step S10: The road end controller 210 matches the vehicle attributes of the vehicle in front of the traffic barrier identified by the vehicle attribute detection module 220 with the attribute information of the vehicle obtained in step S2. If the two are consistent, enter Step S11, if the two are inconsistent, jump to step S15; Step S11: The road-side controller 210 sends a deduction instruction to the vehicle-side controller 110; Step S12: The vehicle-side controller 110 sends a deduction instruction to the ETC deduction function module 120 Deduction instruction; Step S13: The ETC deduction function module 120 performs deduction according to the deduction instruction and returns the deduction completion response to the vehicle-mounted controller 110; Step S14: The vehicle-side controller 110 returns the deduction completion response to the road end controller 210; Step S15: The road end controller 210 controls the railing controller 240 to lift the traffic railing and release the vehicle; Step S16: The road end controller 210 issues an alarm instruction to the alarm device 250, and the alarm device 250 issues an alarm according to the alarm instruction to indicate illegal traffic. Vehicle intrusion; Step S17: The vehicle attribute detection module 220 identifies the vehicle attributes of the vehicle in front of the traffic railing from the image information captured by the lane camera 230; Step S18: The vehicle attribute detection module 220 identifies the vehicle in front of the traffic railing. The vehicle attributes are sent to the road end controller 210; Step S19: The road end controller 210 matches the vehicle attributes of the vehicle in front of the traffic barrier identified by the vehicle attribute detection module 220 with the attribute information of the vehicle obtained in step S2, If the two are consistent, return to step S6. If the two are inconsistent, continue to step S20; Step S20: The road end controller 210 determines whether the traffic railing is lifted according to the signal from the railing controller 240. If the traffic railing is lifted, it means that the traffic is open. If the vehicle in front of the railing is the front vehicle that has been traveling normally and wants to pass the passing railing, then return to step S4. If the passing railing is not lifted, it means that an illegal vehicle has entered, then proceed to step S21; Step S21: The road end controller 210 The alarm device 250 issues an alarm instruction, and according to the alarm instruction, the alarm device 250 issues an alarm to indicate the intrusion of an illegal vehicle.

According to the anti-theft brushing method and the ETC system of the ETC system of the present invention, by adding a road-side controller and a vehicle detection module to the ETC road-side unit, it can effectively Identify illegally trespassing vehicles at ETC checkpoints and provide timely alerts for illegal intrusions. On the other hand, by adding a Beidou high-precision positioning chip to the ETC vehicle unit, the position between the vehicle and the automatic railing can be accurately measured, thereby accurately controlling the lifting timing of the automatic railing, effectively preventing illegally intruding vehicles from passing the ETC bayonet.

The above examples mainly illustrate the anti-theft method and ETC system of the ETC system of the present invention. Although only some specific embodiments of the invention have been described, those of ordinary skill in the art will understand that the invention can be implemented in many other forms without departing from the spirit and scope thereof. Therefore, the examples and embodiments shown are to be regarded as illustrative and not restrictive, and the present invention may cover various modifications and variations without departing from the spirit and scope of the invention as defined in the appended claims. Replace.

S100~S600: steps

Claims (17)

An anti-theft brushing method of an ETC system, which is characterized by including: an information acquisition step, obtaining the identification information and location information of the vehicle from the vehicle; an information retrieval step, retrieving the attribute information of the vehicle according to the identification information of the vehicle, wherein, The correspondence between the identification information and attribute information of the vehicle is stored in advance; the attribute identification step triggers the acquisition of image information of the vehicle when the vehicle passes through the specified detection area, and the attribute information of the vehicle is obtained based on the image information identification; The information matching step is to determine whether the attribute information of the vehicle retrieved in the information retrieval step matches the attribute information of the vehicle identified in the attribute identification step. If it is determined that the two do not match, continue the following theft alarm steps. If it is determined that the two match, continue with the following vehicle release steps; the theft alarm step, which issues an alarm indicating the risk of theft; and the vehicle release step, which controls the passage railing of the ETC system to lift to release the vehicle, and the attribute identification The steps include: judging whether the vehicle passes through the prescribed detection area according to the location information; triggering the acquisition of image information of the vehicle when it is judged that the vehicle passes through the prescribed detection area; and identifying and obtaining the attributes of the vehicle based on the image information. information, The attribute identification step further includes: identifying the vehicle position based on the image information, and the information matching step further includes: determining the vehicle position identified based on the image information in the attribute identification step and the information acquisition. Whether the location information obtained in the step is consistent, and if the two are consistent, continue to determine whether the attribute information of the vehicle retrieved in the information retrieval step matches the attribute information of the vehicle identified in the attribute identification step. As for the anti-theft brushing method of the ETC system described in claim 1, the attribute information includes vehicle color information and vehicle model information. The anti-theft brushing method of the ETC system as described in claim 1 further includes between the information retrieval step and the attribute identification step: a preceding vehicle determination step to determine whether a vehicle already exists in the prescribed detection area and to determine the ETC Whether the system's access railings are down or up. According to the anti-theft brushing method of the ETC system as described in claim 3, when it is determined in the preceding vehicle determination step that a vehicle already exists in the prescribed detection area and the traffic railing of the ETC system is in a dropped state, the system jumps to the stolen vehicle. Steps to clear alarms. As for the anti-theft brushing method of the ETC system described in claim 3, if it is determined in the preceding vehicle determination step that a vehicle already exists in the prescribed detection area and the traffic railing of the ETC system is in a raised state, then continue as described. Attribute identification step. In the anti-theft brushing method of the ETC system described in claim 3, if it is determined in the preceding vehicle determination step that there is no vehicle in the prescribed detection area, the attribute identification step continues. As in the anti-theft brushing method of the ETC system described in claim 1, obtaining the attribute information of the vehicle based on the image information recognition is implemented through a deep learning algorithm. As in the anti-theft brushing method of the ETC system described in claim 1, the identification of the vehicle location based on the image information is implemented through the YOLO model or the FasterRCNN model. As for the anti-theft brushing method of the ETC system described in claim 1, the prescribed detection area is an area of a prescribed size located in front of the traffic railing. A roadside unit system of an ETC system, characterized by comprising: a lane camera, used to be triggered when a vehicle passes through a specified detection area to obtain image information of the vehicle; a vehicle attribute detection module, used to identify the image information To obtain the attribute information of the vehicle; the road end controller is used to obtain the identification information and location information of the vehicle from the vehicle and retrieve the attribute information of the corresponding vehicle based on the identification information, and obtain the vehicle identified by the vehicle attribute detection module The attribute information of the corresponding vehicle is matched with the attribute information of the corresponding vehicle obtained by the retrieval. If the two match, a railing control instruction for raising the pole is sent to the following railing controller. If the two do not match, the following alarm device is sent. Issue an alarm command; a railing controller for controlling the rise and fall of the traffic railing according to the railing control command from the road end controller; and An alarm device is used to issue an alarm according to the alarm instruction from the road end controller. The vehicle attribute detection module is also used to identify the image information to obtain the vehicle position. The road end controller is also used to Determine whether the vehicle position recognized by the vehicle attribute detection module is consistent with the vehicle position information obtained from the vehicle. When the road end controller determines based on the vehicle position that the vehicle has not passed the specified detection area, trigger the The lane camera acquires the image information of the vehicle and matches the acquired image information with the attribute information of the vehicle identified through the vehicle attribute detection module and the attribute information of the corresponding vehicle retrieved. If the two do not match and the attribute information comes from the vehicle, When the railing status information of the railing controller indicates that the passing railing has fallen, an alarm command is sent to the alarm device. As in the roadside unit system of the ETC system described in claim 10, the railing controller is also used to send railing status information indicating whether the traffic railing has fallen to the vehicle-mounted controller. In the roadside unit system of the ETC system described in claim 10, the vehicle attribute detection module recognizes and obtains the attribute information of the vehicle based on the image information through a deep learning method. As in the roadside unit system of the ETC system described in claim 10, the vehicle attribute detection module recognizes the vehicle position based on the image information and implements it through the YOLO model or the FasterRCNN model. In the roadside unit system of the ETC system according to claim 10, the prescribed detection area is an area of a prescribed size located in front of the traffic barrier. In the roadside unit system of the ETC system described in claim 10, the attribute information includes vehicle color information and vehicle model information. A computer-readable medium on which a computer program is stored, characterized in that when the computer program is executed by a processor, the anti-theft brushing method of the ETC system described in any one of claims 1 to 9 is implemented. A computer device, including a storage module, a processor, and a computer program stored on the storage module and executable on the processor, characterized in that when the processor executes the computer program, any of the requirements 1 to 9 can be realized The anti-theft and brushing method of the ETC system described in one item.