CN113298968A - ETC non-inductive fee deduction management method and system based on high-order video - Google Patents
ETC non-inductive fee deduction management method and system based on high-order video Download PDFInfo
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- G07B15/06—Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems
- G07B15/063—Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems using wireless information transmission between the vehicle and a fixed station
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Abstract
The invention discloses an ETC non-inductive fee deduction management method and system based on high-order video, comprising the following steps: step S1, identifying the target vehicle driving into the target area by using the high-level video, linking to start the overweight judging unit to weigh the target vehicle to generate weighing data, judging whether the target vehicle is overweight according to the weighing data to generate a non-overweight identifier and an overweight identifier, and feeding the non-overweight identifier and the overweight identifier back to the charging unit and the alarm unit respectively; and step S2, the alarm unit receives the overweight identifier, plays the alarm voice and reminds the target vehicle to transfer to the unloading area to be unloaded to the overweight judging unit to judge that the target vehicle has the non-overweight identifier, and the charging unit receives the non-overweight identifier and synchronously starts to calculate the ETC cost of the target vehicle. The invention integrates the non-inductive payment technology based on the ETC system mode, expands the application scene of automatic charging and also obviously improves the overall working efficiency of the highway charging system by utilizing the advantages of the mobile internet and the convenience of mobile APP payment.
Description
Technical Field
The invention relates to the technical field of road traffic, in particular to an ETC non-inductive fee deduction management method and system based on high-order video.
Background
The toll collection system is one of the core components of the highway management system. With the continuous increase of the automobile keeping quantity in China, the highway toll management efficiency faces a severe challenge, and the establishment of an intelligent, integrated, efficient and convenient highway toll system is urgent. The wireless radio frequency technology, the wireless communication technology, various electronic devices and monitoring devices are applied to the highway toll management system, so that the automation degree of toll management can be improved, and the labor cost and the toll error rate can be reduced.
From the analysis of the application of the existing electronic toll collection and payment means on the highway, ETC (electronic toll collection system) electronic payment methods have been popularized and used nationwide. Compared with the traditional manual charging mode, the ETC has the advantages of high efficiency, convenience, safety and the like. However, the installation process of the OBU (on-board unit) system of the ETC is complicated, a certain OBU system installation cost needs to be paid, and vehicle information needs to be bound with a bank card.
Disclosure of Invention
The invention aims to provide an ETC non-inductive fee deduction management method based on high-order video, which aims to solve the technical problem that the popularization rate is low due to the fact that the balance of a bank card cannot be monitored in real time in the prior art, the balance of prepayment is insufficient, vehicle bank information is not corresponding and the like easily occurs.
In order to solve the technical problems, the invention specifically provides the following technical scheme:
an ETC non-inductive fee deduction management method based on high-order video comprises the following steps:
step S1, identifying the target vehicle driving into the target area by using the high-level video, linking to start the overweight judging unit to weigh the target vehicle to generate weighing data, judging whether the target vehicle is overweight according to the weighing data to generate a non-overweight identifier and an overweight identifier, and feeding the non-overweight identifier and the overweight identifier back to the charging unit and the alarm unit respectively;
step S2, the alarm unit receives the overweight identification, plays an alarm voice and reminds the target vehicle to transfer to the unloading area to be unloaded to the overweight judging unit to judge that the target vehicle has the non-overweight identification, and the charging unit receives the non-overweight identification and synchronously starts to calculate the ETC cost of the target vehicle;
and step S3, recognizing the target vehicle driving out of the target area by using the high-level video, and linking and extracting the ETC fee in the charging unit to display to the target vehicle, and then releasing the target vehicle after the target vehicle finishes the non-inductive deduction of the ETC fee, and transferring the ETC fee and the non-inductive deduction record of the ETC fee to a buffer for storage for subsequent verification.
As a preferred embodiment of the present invention, in step S1, the specific method for identifying the target vehicle entering the target area by using the high-level video includes:
the high-level video captures the license plate of the target vehicle and generates a static driving-in image;
acquiring the license plate number in the static driving-in image by utilizing a pattern recognition technology and taking the license plate number as a charging management identifier of a target vehicle;
and binding the charging management identification with the weighing data of the target vehicle in the overweight judging unit.
As a preferable aspect of the present invention, in step S1, the method for determining whether the target vehicle is overweight by the overweight determination unit includes:
the overweight judging unit is used for scanning a target object in real time to generate weighing data, a vehicle type weight standard of a target vehicle is extracted from a vehicle registration system according to the charging management identification, and the weighing data is compared with the vehicle type weight standard to realize the overweight judgment of the target area, specifically:
if the weighing data exceed the vehicle type weight standard, judging that the overweight identification of the target vehicle is overweight;
and if the weighing data does not exceed the vehicle type weight standard, judging that the overweight mark of the target vehicle is not overweight.
As a preferable aspect of the present invention, in step S2, the specific method for calculating the ETC fee includes:
and identifying the type of the target vehicle according to the charging management identifier, and using the type charging standard of the target vehicle as ETC fee.
As a preferred scheme of the present invention, in step S2, the method further includes capturing the overweight condition of the target vehicle and reporting to the delivery platform, and the specific method includes:
if the overweight mark of the target vehicle is overweight, determining that the target vehicle is overweight, and feeding the overweight data of the target vehicle back to the traffic management platform in a linkage manner;
if the overweight mark of the target vehicle is not overweight, the target vehicle is determined to be overweight, and the overweight data of the target vehicle is removed;
the overweight data comprises a charging management identifier of the target vehicle, overweight coordinates and a static overweight image captured by a high-order video.
As a preferable aspect of the present invention, in step S3, the specific method for identifying a target vehicle driving out of the target area using the high-level video includes:
the high-level video captures the license plate of the target vehicle and generates a static driving-out image;
and acquiring the license plate number in the static driving-out image by utilizing a pattern recognition technology, comparing the license plate number with the charging management identification of the target vehicle, extracting the ETC fee bound by the corresponding charging management identification, and synchronously feeding the ETC fee back to the ETC fee deduction unit.
As a preferable aspect of the present invention, in step S3, the specific method for completing the non-inductive toll collection of the ETC for the target vehicle includes:
the ETC unit of paying of unit discernment target vehicle that charges is detained to the ETC to the basis the ETC expense is detained the ETC unit of paying, and is specific:
if the stored amount of the ETC payment unit is higher than the ETC fee, the ETC fee deduction unit enters an ETC payment platform to directly deduct the ETC fee from the ETC payment unit, and financial updating is carried out on the ETC payment platform to finish real fee deduction;
if the stored amount of money of the ETC payment unit is lower than the ETC fee, the ETC payment unit is switched to a non-inductive detection mode to enable the ETC payment unit to carry out third-party payment platform to deduct the ETC fee, and financial updating is carried out on the third-party payment platform to finish real fee deduction.
In a preferred embodiment of the present invention, in step S3, the parking duration and parking fee data in the buffer are periodically cleared from the temporary buffer data.
As a preferable aspect of the present invention, there is provided a management system according to the high-order video-based ETC non-inductive deduction management method, comprising:
the high-order video unit is used for identifying a target vehicle in a target area and recording image data of the target vehicle;
the overweight judging unit is used for judging whether the target vehicle is overweight or not and feeding the overweight data back to the traffic management platform;
the charging unit is used for calculating the ETC fee of the target vehicle and finishing non-inductive charge deduction of the ETC;
the alarm unit is used for playing alarm voice to remind the target vehicle to be transferred to the unloading area to be unloaded;
and the cache unit is used for caching the payment data of the paid target vehicle for subsequent verification.
As a preferable scheme of the present invention, the charging unit includes an ETC fee deduction unit and an ETC fee payment unit, and the ETC fee payment unit includes an ETC payment platform and a third party payment platform.
Compared with the prior art, the invention has the following beneficial effects:
the invention utilizes the high-order camera to identify the target vehicle in the target area and record the image data of the target vehicle, effectively improves the accuracy of vehicle identification of the urban road toll station, improves the accuracy of toll management of the target vehicle, and simultaneously carries out reasonable dissuasion and traffic management notification on the target vehicle so as to effectively solve the overweight problem, ensure the road safety, integrate the non-inductive payment technology on the basis of the ETC system mode, expand the application scene of automatic toll collection by utilizing the advantages of the mobile internet and the convenience of mobile APP payment, and also obviously improve the overall working efficiency and the applicability of the highway toll collection system.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
Fig. 1 is a flowchart of an ETC non-inductive deduction management method based on high-level video according to an embodiment of the present invention;
fig. 2 is a block diagram of a management system according to an embodiment of the present invention.
The reference numerals in the drawings denote the following, respectively:
1-high order video unit; 2-overweight determination unit; 3-a charging unit; 4-an alarm unit; 5-cache unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1-2, an OBU (on-board unit) system of the ETC is complex in installation process, a certain OBU system installation fee needs to be paid, and vehicle information needs to be bound with a bank card, and because the balance of the bank card cannot be monitored in real time, problems such as insufficient prepaid balance and non-corresponding vehicle bank information are easily caused, and thus the popularization rate is low. In recent years, the development of mobile internet is rapid, and the development trend of mobile APP payment means such as WeChat payment and Paibao payment is diversified. On the basis of mobile network payment, artificial intelligence and image recognition technology are integrated to form a non-inductive payment system which is complementary with the existing ETC system, so that the invention provides an ETC non-inductive fee deduction management method based on high-level video, which can be applied to more scenes and improve the toll management efficiency of highways.
An ETC non-inductive fee deduction management method based on high-order video comprises the following steps:
step S1, identifying the target vehicle driving into the target area by using the high-level video, linking to start the overweight judging unit to weigh the target vehicle to generate weighing data, judging whether the target vehicle is overweight according to the weighing data to generate a non-overweight identifier and an overweight identifier, and feeding the non-overweight identifier and the overweight identifier back to the charging unit and the alarm unit respectively;
in step S1, a specific method for identifying a target vehicle entering a target area using a high-level video includes:
the high-level video captures the license plate of the target vehicle and generates a static driving-in image;
acquiring the license plate number in the static driving-in image by utilizing a pattern recognition technology and taking the license plate number as a charging management identifier of a target vehicle;
and binding the charging management identifier with the weighing data of the target vehicle in the overweight identification unit.
In step S1, the specific method for the overweight determination unit to determine whether the target vehicle is overweight includes:
the method comprises the following steps of scanning a target object in real time by using an overweight judging unit to generate weighing data, extracting a vehicle type weight standard of a target vehicle in a vehicle registration system according to a charging management identifier, and comparing the weighing data with the vehicle type weight standard to realize overweight judgment of a target area, specifically:
if the weighing data exceeds the vehicle model weight standard, judging that the overweight identification of the target vehicle is overweight;
and if the weighing data does not exceed the vehicle model weight standard, judging that the overweight mark of the target vehicle is not overweight.
Wherein, taking Jiangsu Nanjing second bridge as an example, the vehicle type weight standard and the vehicle type charge standard are respectively 7 seats of first class passenger cars and below, 30 Yuan/time charge, 8-19 seats of second class passenger cars, 50 Yuan/time charge, 20-39 seats of second class passenger cars, 70 Yuan/time charge, 2 tons and below of first class freight cars, 20 Yuan/time charge, 2-5 tons of second class freight cars, 30 Yuan/time charge, 5-10 tons and below of third class freight cars, 50 Yuan/time charge, and the ETC charge is consistent with the charge standard.
Step S2, the alarm unit receives the overweight identification, plays an alarm voice and reminds the target vehicle to transfer to the unloading area to be unloaded to the overweight judging unit to judge that the target vehicle has the non-overweight identification, and the charging unit receives the non-overweight identification and synchronously starts to calculate the ETC cost of the target vehicle;
in step S2, the specific method of calculating the ETC fee includes:
and identifying the type of the target vehicle according to the charging management identifier, and using the type charging standard of the target vehicle as ETC fee.
In step S2, the method further includes capturing the overweight state of the target vehicle and reporting the overweight state to the delivery platform, and the specific method includes:
if the overweight mark of the target vehicle is overweight, determining that the target vehicle is overweight, and feeding the overweight data of the target vehicle back to the traffic management platform in a linkage manner;
if the overweight mark of the target vehicle is not overweight, the target vehicle is determined to be overweight, and the overweight data of the target vehicle is removed;
the overweight data comprise a charging management identifier of the target vehicle, overweight coordinates and a static overweight image captured by a high-order video.
And step S3, recognizing the target vehicle driving out of the target area by using the high-level video, and linking and extracting the ETC fee in the charging unit to display to the target vehicle, and then releasing the target vehicle after the target vehicle finishes the non-inductive deduction of the ETC fee, and transferring the ETC fee and the non-inductive deduction record of the ETC fee to a buffer for storage for subsequent verification.
In step S3, the specific method for identifying a target vehicle driving out of the target area using the high-level video includes:
the high-level video captures the license plate of the target vehicle and generates a static driving-out image;
and acquiring license plate numbers in the static driving-out image by using a pattern recognition technology, comparing the license plate numbers with the charging management identification of the target vehicle, extracting the ETC fee bound by the corresponding charging management identification, and synchronously feeding the ETC fee back to the ETC fee deduction unit.
In step S3, the specific method of completing the non-inductive toll collection of the ETC for the target vehicle includes:
the ETC unit of paying of unit discernment target vehicle that charges is detained to ETC unit of paying charges according to ETC expense, and is specific:
if the stored amount of the ETC payment unit is higher than the ETC fee, the ETC fee deduction unit enters an ETC payment platform to directly deduct the ETC fee from the ETC payment unit, and financial updating is carried out on the ETC payment platform to finish real fee deduction;
if the stored amount of money of the ETC payment unit is lower than the ETC fee, the ETC payment unit is switched to a non-inductive detection mode to enable the ETC payment unit to carry out third-party payment platform to deduct the ETC fee, and financial updating is carried out on the third-party payment platform to finish real fee deduction.
The highway toll management system integrating the ETC wireless radio frequency technology and the non-inductive payment technology is a combined toll collection system, an ETC channel and other types of channels are not distinguished like a traditional toll collection system in single-channel design, namely system hardware such as a high-definition camera, a signal sensor and an image recognition device for non-inductive payment is additionally installed on the basis of the original ETC channel, and corresponding software algorithm is assisted to ensure the accuracy of non-inductive recognition.
In step S3, the parking duration and parking fee data in the buffer are periodically cleared for the temporary buffer data.
The user is directly faced with the APP of the third party registration platform, and the APP of the third party registration platform provides an entrance for handling the ETC non-sensitive payment function. The third party payment platform needs to establish private network connection with the registration authentication platform, configure corresponding network boundary safety protection equipment, and perform interaction of user information, transaction information and account checking information through the private network.
Because the non-sensory user list parameters need to be issued to each lane party to be effective, when the user binds or unbinds the third party payment account through the third party registration platform, the user needs to pass through the registration authentication platform and the authentication party of the third party payment party at the same time to be successful, and the longest delay of 24h exists. The registration authentication platform needs to perform corresponding payer uniqueness management on the ETC non-sensitive payment function, namely, only one third party can pay effectively when the same vehicle uses the ETC non-sensitive payment function, and if a user needs to replace the vehicle, the previous third party payer should be removed.
The ETC lane fuses the basic flow of third party payment and does: one is binding third party payment accounts such as WeChat. The vehicle user can register and bind the third party payment account when handling ETC at the ETC service network site, also can bind through third party registration platform after handling ETC. After the binding is successful, the authentication of the registration authentication platform and the third party registration platform is required. And secondly, when the vehicle passes through the ETC lane, if the balance in the card is insufficient, whether the ETC vehicle paid by a third party is opened or not is judged, if so, the lever is lifted for passing and the passing information is sent to a third party payment service system, and the toll and the fee deduction of the bound payment account are asynchronously finished.
The user who has handled ETC can launch to open the noninductive payment function application to the ETC vehicle through the third party platform. After the application is initiated, the registration authentication platform authenticates the legality of the corresponding ETC vehicle according to the vehicle information submitted by the user and the cloud card information, meanwhile, the third-party platform carries out user credit authentication, and only when the legality authentication of the ETC vehicle and the user credit authentication pass, the user application can pass through, so that the non-inductive ETC payment function is opened. The registration authentication platform manages the binding condition of the vehicle and the third-party platform, transmits the authenticated ETC vehicle information to the central system in a white list mode, and issues the ETC vehicle information to the lane step by step according to the related parameter management method of the existing toll collection system. The lane consumption assembly line is generated by the lane according to cash consumption assembly line and transmitted to the registration authentication platform; the registration authentication platform receives the consumption flow message sent by the central system in real time, validity verification is carried out on the consumption flow data according to the registration information of the non-inductive payment, and related managers need to carry out manual examination processing on the flow which is not verified.
And for the consumption streamline passing the validity check, the registration authentication platform calls a deduction interface of the third party platform to realize the deduction of the consumption streamline, and the deduction result of the consumption streamline is recorded according to the response returned by the third party platform. And the registration authentication platform checks accounts with the third payment platform every day, generates corresponding account checking reports for the running water with successful account checking, and needs manual review processing for the running water with abnormal states. The basic flow of account checking is as follows: (1) the method comprises the steps that a third-party platform generates and sends 'data files paid on the third-party platform', the data files are placed on a front server of the third-party platform, the front server of a registration authentication platform obtains the files from the front server of the third-party platform according to appointed time, and the registration authentication platform analyzes and pays data streams of the files. (2) And the registration authentication platform performs entry processing on the flow data of the successful-payment third-party platform. If the dispute service flow is unsuccessful, generating dispute service flow, and processing the flow through manual dispute flow audit; and if the manual audit is passed, the account is posted according to the audit date, and if the manual audit is not passed, the account is treated as a bad account. (3) For payment and automatic posting on the system, manual checking of posting, manual checking of bad postings, generating a third-party platform posting result file according to posting date or checking date (manual checking of bad postings) and sending the third-party platform posting result file to the third-party platform.
As shown in fig. 2, based on the method for managing the non-inductive deduction of the ETC based on the high-order video, the invention provides a management system, which includes:
the high-order video unit 1 is used for identifying a target vehicle in a target area and recording image data of the target vehicle;
the overweight judging unit 2 is used for judging whether the target vehicle is overweight or not and feeding the overweight data back to the traffic management platform;
the charging unit 3 is used for calculating the ETC fee of the target vehicle and finishing the non-inductive charge deduction of the ETC;
the alarm unit 4 is used for playing alarm voice to remind the target vehicle to be transferred to the unloading area for unloading;
and the cache unit 5 is used for caching the payment data of the paid target vehicle for subsequent verification.
The charging unit includes that the ETC deducts the unit of spending and ETC unit of paying, and the ETC unit of paying includes ETC payment platform and third party payment platform.
Compared with the prior art, the invention has the following beneficial effects:
the invention utilizes the high-order camera to identify the target vehicle in the target area and record the image data of the target vehicle, effectively improves the accuracy of vehicle identification of the urban road toll station, improves the accuracy of toll management of the target vehicle, and simultaneously carries out reasonable dissuasion and traffic management notification on the target vehicle so as to effectively solve the overweight problem, ensure the road safety, integrate the non-inductive payment technology on the basis of the ETC system mode, expand the application scene of automatic toll collection by utilizing the advantages of the mobile internet and the convenience of mobile APP payment, and also obviously improve the overall working efficiency and the applicability of the highway toll collection system.
The above embodiments are only exemplary embodiments of the present application, and are not intended to limit the present application, and the protection scope of the present application is defined by the claims. Various modifications and equivalents may be made by those skilled in the art within the spirit and scope of the present application and such modifications and equivalents should also be considered to be within the scope of the present application.
Claims (10)
1. An ETC noninductive fee deduction management method based on high-order video is characterized by comprising the following steps:
step S1, identifying the target vehicle driving into the target area by using the high-level video, linking to start the overweight judging unit to weigh the target vehicle to generate weighing data, judging whether the target vehicle is overweight according to the weighing data to generate a non-overweight identifier and an overweight identifier, and feeding the non-overweight identifier and the overweight identifier back to the charging unit and the alarm unit respectively;
step S2, the alarm unit receives the overweight identification, plays an alarm voice and reminds the target vehicle to transfer to the unloading area to be unloaded to the overweight judging unit to judge that the target vehicle has the non-overweight identification, and the charging unit receives the non-overweight identification and synchronously starts to calculate the ETC cost of the target vehicle;
and step S3, recognizing the target vehicle driving out of the target area by using the high-level video, and linking and extracting the ETC fee in the charging unit to display to the target vehicle, and then releasing the target vehicle after the target vehicle finishes the non-inductive deduction of the ETC fee, and transferring the ETC fee and the non-inductive deduction record of the ETC fee to a buffer for storage for subsequent verification.
2. The ETC non-inductive deduction management method based on the high-order video according to claim 1, characterized in that: in step S1, the specific method for identifying the target vehicle entering the target area using the high-level video includes:
the high-level video captures the license plate of the target vehicle and generates a static driving-in image;
acquiring the license plate number in the static driving-in image by utilizing a pattern recognition technology and taking the license plate number as a charging management identifier of a target vehicle;
and binding the charging management identification with the weighing data of the target vehicle in the overweight judging unit.
3. The ETC non-inductive deduction management method based on the high-order video according to claim 2, characterized in that: in step S1, the specific method for the overweight determination unit to determine whether the target vehicle is overweight includes:
the overweight judging unit is used for scanning a target object in real time to generate weighing data, a vehicle type weight standard of a target vehicle is extracted from a vehicle registration system according to the charging management identification, and the weighing data is compared with the vehicle type weight standard to realize the overweight judgment of the target area, specifically:
if the weighing data exceed the vehicle type weight standard, judging that the overweight identification of the target vehicle is overweight;
and if the weighing data does not exceed the vehicle type weight standard, judging that the overweight mark of the target vehicle is not overweight.
4. The ETC non-inductive deduction management method based on the high-order video according to claim 3, wherein: in step S2, the specific method for calculating the ETC fee includes:
and identifying the type of the target vehicle according to the charging management identifier, and using the type charging standard of the target vehicle as ETC fee.
5. The ETC non-inductive deduction management method based on the high-order video according to claim 4, wherein: in the step S2, the method further includes capturing the overweight state of the target vehicle and reporting to the delivery platform, and the specific method includes:
if the overweight mark of the target vehicle is overweight, determining that the target vehicle is overweight, and feeding the overweight data of the target vehicle back to the traffic management platform in a linkage manner;
if the overweight mark of the target vehicle is not overweight, the target vehicle is determined to be overweight, and the overweight data of the target vehicle is removed;
the overweight data comprises a charging management identifier of the target vehicle, overweight coordinates and a static overweight image captured by a high-order video.
6. The ETC non-inductive deduction management method based on the high-order video according to claim 5, wherein: in step S3, the specific method for identifying a target vehicle driving out of the target area using the high-level video includes:
the high-level video captures the license plate of the target vehicle and generates a static driving-out image;
and acquiring the license plate number in the static driving-out image by utilizing a pattern recognition technology, comparing the license plate number with the charging management identification of the target vehicle, extracting the ETC fee bound by the corresponding charging management identification, and synchronously feeding the ETC fee back to the ETC fee deduction unit.
7. The ETC non-inductive deduction management method based on the high-level video according to claim 6, wherein in the step S3, the specific method for completing the ETC non-inductive deduction to the target vehicle comprises the following steps:
the ETC unit of paying of unit discernment target vehicle that charges is detained to the ETC to the basis the ETC expense is detained the ETC unit of paying, and is specific:
if the stored amount of the ETC payment unit is higher than the ETC fee, the ETC fee deduction unit enters an ETC payment platform to directly deduct the ETC fee from the ETC payment unit, and financial updating is carried out on the ETC payment platform to finish real fee deduction;
if the stored amount of money of the ETC payment unit is lower than the ETC fee, the ETC payment unit is switched to a non-inductive detection mode to enable the ETC payment unit to carry out third-party payment platform to deduct the ETC fee, and financial updating is carried out on the third-party payment platform to finish real fee deduction.
8. The ETC non-inductive deduction management method based on high-level video according to claim 7, wherein in step S3, the temporary buffer data is periodically cleared by the parking time length and parking fee data in the buffer.
9. A management system of the high-order video based ETC non-inductive deduction management method according to any one of claims 1 to 8, comprising:
the high-order video unit (1) is used for identifying a target vehicle in a target area and recording image data of the target vehicle;
the overweight judging unit (2) is used for judging whether the target vehicle is overweight or not and feeding the overweight data back to the traffic management platform;
the charging unit (3) is used for calculating the ETC fee of the target vehicle and finishing the non-inductive deduction of the ETC fee;
the alarm unit (4) is used for playing alarm voice to remind the target vehicle to be transferred to the unloading area to be unloaded;
and the cache unit (5) is used for caching the payment data of the paid target vehicle for subsequent verification.
10. A management system according to claim 9, wherein the charging unit comprises an ETC fee deduction unit and an ETC fee payment unit, the ETC fee payment unit comprising an ETC payment platform and a third party payment platform.
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