CN112258672A - ETC charging system and method based on face recognition - Google Patents
ETC charging system and method based on face recognition Download PDFInfo
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- CN112258672A CN112258672A CN202011135756.9A CN202011135756A CN112258672A CN 112258672 A CN112258672 A CN 112258672A CN 202011135756 A CN202011135756 A CN 202011135756A CN 112258672 A CN112258672 A CN 112258672A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/06—Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/401—Transaction verification
- G06Q20/4014—Identity check for transactions
- G06Q20/40145—Biometric identity checks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
Abstract
The invention discloses an ETC charging system and method based on face recognition, wherein the system comprises: the system comprises an image acquisition system, a data processing system, an application system, a data fusion system, an ETC charging system and a network system; the image acquisition system is used for acquiring images of a driver; the data processing system is used for carrying out face recognition and fatigue driving detection on the driver; the application system is used for providing data for vehicle account authentication, vehicle driving track identification and ETC networking charging; the data fusion system is used for generating an account for the vehicle, binding the face recognition result of the driver with the account corresponding to the vehicle, identifying the path of the vehicle and binding the face recognition result of the driver with the path identification result of the vehicle; the ETC charging system is used for calculating the driving mileage and the cost of the vehicle in different areas. The invention can effectively improve the accuracy of ETC online charging and ensure the driving safety of vehicles which are dangerous for two passengers.
Description
Technical Field
The invention relates to the technical field of highway networking charging, in particular to an ETC charging system and method based on face recognition.
Background
With the continuous extension, networking, expansion and encryption of the expressway, the fact that multiple paths from the departure point to the destination exist in the road network becomes necessary, and new requirements and challenges are brought to the standard rate technology of expressway toll, the accurate toll splitting and the travel path selection. In order to meet the practical requirements of multi-main-body highway construction, diversified management structures and diversified trip main-bodies in China, the ambiguous identification of the highway becomes the problem to be solved urgently by the networking toll of the highway at present.
From the current situation of highway networking charging in China, the shortest path is used as a basis for charging the fee rate of the highway in most provinces and cities, a probability or statistical negotiation model is used as a main mode for splitting the toll, and a charging mode of accurate path identification charging is adopted in part of provinces. From 1 month and 1 day zero in 2020, 487 highway provincial toll stations of 29 networking provinces in the country are all cancelled, and accurate path identification networking charging of one network of the national roads is realized. However, during the networking operation, transaction failure or billing error phenomena caused by the identification rate of the ETC portal system, the driving speed, signal interference, data transmission problems and the like still occur. Particularly, for the 'two-passenger one-dangerous' operation vehicle, due to the particularity of the operation service, the toll fee of the vehicle on the highway is high, and the economic loss brought to an operator by the toll fee charging error is large. When charging disputes are caused, vehicle operation track reduction cannot be realized due to the reasons that the early-stage transaction data volume is large, the transmission frequency is high, data loss or identification failure is caused, charging check comparison cannot be realized, toll charging disputes cannot be timely and effectively verified and solved, and the operation service level of a highway and the social image of the transportation industry are seriously influenced. Meanwhile, for the operation vehicle which is dangerous for two passengers, as the vehicle is heavy and carries dangerous goods usually, once the driver is tired, the serious consequence is very easy to cause.
Therefore, under the existing ETC/CPC highway toll collection mode, aiming at 'two passengers and one dangerous' operation vehicles, under the accurate path identification toll collection mode which is mainly based on an ETC portal system, other means or methods are needed to record in real time, and the accurate running track and the running path of the vehicles are restored afterwards, the highway toll collection paths are compared, toll check and verification are realized, toll disputes are avoided, and fatigue driving detection is synchronously performed on drivers.
Disclosure of Invention
The invention aims to provide an ETC charging system and method based on face recognition, which are used for solving the technical problems in the prior art, effectively improving the accuracy of ETC networked charging, ensuring the driving safety of key operation vehicles with 'two passengers and one danger', and reducing the system cost.
In order to achieve the purpose, the invention provides the following scheme: the invention provides an ETC charging system based on face recognition, which comprises an image acquisition system, a data processing system, an application system, a data fusion system, an ETC charging system, a network system and a data storage system, wherein the image acquisition system is used for acquiring images;
the image acquisition system is used for acquiring images of a driver and transmitting the acquired images to the data processing system;
the data processing system comprises a face recognition unit and a key action recognition unit; the face recognition unit is used for carrying out face recognition on a driver; the key action recognition unit is used for detecting fatigue driving of a driver;
the application system is used for providing data for vehicle account authentication, vehicle driving track identification and ETC networking charging;
the data fusion system is used for generating an account for the vehicle according to the data provided by the application system, binding the face recognition result of the driver with the account corresponding to the vehicle, recognizing the path of the vehicle and binding the face recognition result of the driver with the path recognition result of the vehicle;
the ETC charging system is used for calculating the driving mileage and the cost of the vehicle in different areas;
the network system is used for providing information transmission for the ETC charging system based on the face recognition;
the data storage system is used for storing the vehicle account, the vehicle running path and the charging information.
Preferably, the ETC charging system based on face recognition further comprises an early warning system, and the early warning system is used for giving an alarm according to a fatigue driving judgment result and reminding a driver.
Preferably, the ETC charging system based on the face recognition further comprises a safety system, and the safety system is used for providing a safe operating environment for the ETC charging system based on the face recognition.
Preferably, the application system comprises a transportation administration system, an ETC payment system, a road transportation certificate IC card management system, a vehicle networking joint control system, a source control and over-control system and a high-resolution remote sensing system.
Preferably, the data fusion system obtains the vehicle running track through the GPS networking joint control data provided by the vehicle networking joint control system, and matches the vehicle running track with the high-score remote sensing map provided by the high-score remote sensing system to complete the path identification of the vehicle.
Preferably, the ETC charging system comprises a data reading and writing unit, an identification and release unit, a dynamic matching and calculating unit and a charging verification unit;
the data reading and writing unit is used for calling data matched with the vehicle from the application system;
the identification and release unit is used for identifying the high speed of vehicle entering and exiting and activating the ETC charging system based on the face identification when the high speed entering is identified;
the dynamic matching and calculating unit is used for carrying out regional calculation on the vehicle driving mileage and the vehicle driving route provided by the data fusion system according to the data called by the data reading and writing unit;
the charge checking unit is used for checking the charge calculated by the dynamic matching and calculating unit, and when the calculation is wrong, the charge is returned or supplemented.
Preferably, the network system comprises a private operation and administration network, an ETC networking charging private network and the Internet.
The invention also provides an ETC charging method based on face recognition, which comprises the following steps:
acquiring relevant data of the vehicle through an application system, and generating an account for the vehicle;
when the vehicle drives in at a high speed, the ETC charging system is used for carrying out drive-in high-speed identification and activating the ETC charging system based on the face identification;
acquiring an image of a driver through an image acquisition system, and performing face recognition and fatigue driving detection on the driver through a data processing system;
acquiring GPS networking joint control data through an application system to obtain a vehicle running track and a high-resolution remote sensing map, and matching the vehicle running track with the high-resolution remote sensing map to complete path identification of the vehicle;
binding the face recognition result of the driver with the vehicle account and the driving path of the vehicle;
acquiring ETC networking charging related data through an application system, and clearing the driving mileage and the cost of the vehicle in different areas according to the vehicle path identification result;
when the vehicle is driven away from the high speed, the ETC charging system is used for carrying out high-speed driving away identification, fee deduction is carried out, fee deduction results are verified, and fee refunding or payment supplementing is carried out when fee deduction is wrong.
Preferably, the method of fatigue driving detection includes:
based on an image of a driver, acquiring a thermal imaging graph of the driver through a weakly supervised convolutional neural network, and acquiring a key subregion of the driver through the thermal imaging graph;
based on a thermal imaging map of a driver, adopting Yolov3 to construct a key subregion positioning model, positioning a key subregion of the driver, and extracting an image of the key subregion;
constructing a multi-channel convolution network identification model based on the extracted images of the key subregions, and identifying open and closed eyes and yawning;
and calculating the percentage of the eye closing state and the frequency of the yawning in unit time by adopting a PERCLOS algorithm, and judging the fatigue driving if the percentage of the eye closing state and the frequency of the yawning exceed preset thresholds.
The invention discloses the following technical effects:
(1) the invention fuses and applies a political operation system, an ETC payment system, a road transportation certificate IC card management system, a vehicle networking joint control system, a source control over system, a high-resolution remote sensing system, a face recognition system and an ETC charging system, effectively realizes the integration and sharing of data information resources, realizes the path recognition of 'two-passenger one-dangerous' key operation vehicles by matching the access and exit of a highway toll station, the driving track of an access route and a high-resolution remote sensing map, can effectively solve the transaction failure or charging error caused by the problems of the identification rate of the ETC portal system, the driving speed, signal interference, data transmission and the like, avoids charging disputes and assists the highway charging check management;
(2) according to the invention, the face recognition result is respectively bound with the vehicle account and the vehicle running path, so that the binding of the vehicle account and the vehicle running path can be realized through the face recognition result, and the face recognition is not influenced by severe weather such as heavy fog, heavy snow and the like, so that the condition that the vehicle account and the vehicle running path cannot be accurately and effectively bound due to the fact that the license plate cannot be accurately scanned under the severe weather such as heavy fog, heavy snow and the like can be effectively avoided, and the accuracy of ETC networking charging is improved;
(3) the ETC charging system also integrates a fatigue driving detection function through face recognition, effectively ensures the driving safety of key operation vehicles with 'two passengers and one danger', and reduces the system cost.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a schematic structural diagram of an ETC charging system based on face recognition according to the present invention;
fig. 2 is a flow chart of the ETC charging method based on face recognition.
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.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Referring to fig. 1, the present embodiment provides an ETC charging system based on face recognition, including: the system comprises an image acquisition system, a data processing system, a data fusion system, a network system, an application system, an ETC charging system, a safety system, an early warning system and a data storage system;
the image acquisition system is used for acquiring images of a driver and transmitting the acquired images to the data processing system; in this embodiment, the image acquisition system employs a CCD camera and is installed On an OBU (On Board Unit) of the ETC.
The data processing system comprises a face recognition unit and a key action recognition unit;
the face recognition unit carries out face recognition on the driver based on the image of the driver and transmits a face recognition result to the data fusion system;
the key action recognition unit is used for recognizing key actions of the driver based on the image of the driver, judging whether the driver is in fatigue driving according to a recognition result and sending the fatigue driving judgment result to the early warning system;
the key actions are that some driving actions of the driver directly determine the current driving behaviors, such as eye closing actions and yawning actions, and the symbolic actions are important criteria for judging whether the driver belongs to fatigue driving. The method for judging fatigue driving by the key action recognition unit comprises the following steps:
based on an image of a driver, acquiring a thermal imaging graph of the driver through a weakly supervised convolutional neural network, and acquiring a key subregion of the driver through the thermal imaging graph; in the convolutional neural network, all neurons jointly form a two-dimensional feature map, different neurons represent relative positions in an image, and identification and positioning of an active region, namely a key sub-region, are performed according to the activation state of a region where the neuron is located.
Based on a thermal imaging map of a driver, adopting Yolov3 to construct a key subregion positioning model, positioning a key subregion of the driver, and extracting an image of the key subregion; the key sub-regions comprise a human eye region and a mouth region;
constructing a multi-channel convolution network identification model based on the extracted images of the key subregions, and identifying open and closed eyes and yawning;
and calculating the percentage of the eye closing state and the frequency of the yawning in unit time by adopting a PERCLOS algorithm, and judging the fatigue driving if the percentage of the eye closing state and the frequency of the yawning exceed preset thresholds.
The early warning system is used for giving an alarm according to a fatigue driving judgment result; in the embodiment, the early warning system adopts a buzzer alarm and is installed on an OBU of the ETC; when detecting fatigue driving, the buzzer alarm sends out buzzing sound to remind the driver, thereby effectively reducing the probability of accidents caused by fatigue driving.
The application system is used for providing data for vehicle account authentication, vehicle driving track identification and ETC networking charging; the application system comprises a transportation administration system, an ETC payment system, a road transportation certificate IC card management system, a vehicle networking joint control system, a source control and over-limit system and a high-resolution remote sensing system; the administrative system is used for providing highway charging standards of all areas; the ETC payment system is used for providing an ETC payment account; the road transportation certificate IC card management system is used for providing vehicle type, license plate, road transportation operation related information and electronic waybill (cargo, load and source enterprise) information; the vehicle networking joint control system is used for providing GPS networking joint control data; the source overload control system is used for providing weighing data; the high-score remote sensing system is used for providing a high-score remote sensing map.
The data fusion system is used for generating an account for the vehicle according to the data provided by the application system to realize one vehicle, one card and one account; the data fusion system is also used for binding the driver face recognition result provided by the face recognition unit with an account corresponding to the vehicle; the data fusion system is also used for acquiring a vehicle running track from the GPS networking joint control data provided by the vehicle networking joint control system, and matching the vehicle running track with a high-score remote sensing map provided by the high-score remote sensing system to complete the path identification of the vehicle; the data fusion system is also used for binding the driver face recognition result provided by the face recognition unit with the vehicle path recognition result, so that the binding of the vehicle account with the vehicle running path can be realized through the face recognition result, and the running path of the vehicle can be effectively determined because the face recognition is not influenced by severe weather such as heavy fog, heavy snow and the like, and the condition that the vehicle account cannot be accurately and effectively bound with the vehicle running path due to the fact that accurate scanning of the vehicle license plate is difficult to realize under the severe weather such as heavy fog, heavy snow and the like is avoided.
The ETC charging system comprises a data reading and writing unit, an identification and release unit, a dynamic matching and calculating unit and a charging verification unit;
the data reading and writing unit is used for calling data matched with the vehicle from the application system; the data read-write unit calls the data which comprises the following steps: highway charging standards, vehicle types, road transportation and operation related information, electronic waybills and weighing data of all areas;
the identification and release unit is used for identifying the high speed of vehicle entering and exiting and activating the ETC charging system based on the face identification when the high speed entering is identified;
the dynamic matching and calculating unit is used for carrying out regional calculation on the vehicle driving mileage and the vehicle driving route provided by the data fusion system according to the data called by the data reading and writing unit;
the charge checking unit is used for checking the charge calculated by the dynamic matching and calculating unit, and when the calculation is wrong, the charge is returned or supplemented.
The network system is used for providing information transmission for the ETC charging system based on the face recognition; the network system comprises a transport administration private network, an ETC networking charging private network and the Internet; the network system adopts one or two of a wired network and a wireless network.
The safety system is used for providing a safe operation environment for the ETC charging system based on the face recognition, and the safety of data and a network is guaranteed.
The data storage system is used for storing the vehicle account, the vehicle running path and the charging information.
Referring to fig. 2, the present embodiment provides an ETC charging method based on face recognition, which specifically includes the following steps:
s1, acquiring relevant data of the vehicle through the application system, generating an account for the vehicle, and realizing 'one vehicle, one card and one account'; the acquired relevant data of the vehicle includes: ETC payment account number, vehicle type, license plate and road transportation and operation related information;
s2, when the vehicle drives into the high speed, the ETC charging system is used for carrying out high speed drive identification, and the ETC charging system based on the face identification is activated;
s3, acquiring images of a driver through an image acquisition system, and carrying out face recognition and fatigue driving detection on the driver through a data processing system; when fatigue driving is detected, the buzzer alarms to remind a driver, and the probability of accidents caused by the fatigue driving is effectively reduced.
The detection method of fatigue driving comprises the following steps:
based on an image of a driver, acquiring a thermal imaging graph of the driver through a weakly supervised convolutional neural network, and acquiring a key subregion of the driver through the thermal imaging graph; in the convolutional neural network, all neurons jointly form a two-dimensional feature map, different neurons represent relative positions in an image, and identification and positioning of an active region, namely a key sub-region, are performed according to the activation state of a region where the neuron is located.
Based on a thermal imaging map of a driver, adopting Yolov3 to construct a key subregion positioning model, positioning a key subregion of the driver, and extracting an image of the key subregion; the key sub-regions comprise a human eye region and a mouth region;
constructing a multi-channel convolution network identification model based on the extracted images of the key subregions, and identifying open and closed eyes and yawning;
and calculating the percentage of the eye closing state and the frequency of the yawning in unit time by adopting a PERCLOS algorithm, and judging the fatigue driving if the percentage of the eye closing state and the frequency of the yawning exceed preset thresholds.
S4, acquiring GPS networking joint control data through an application system to obtain a vehicle running track and a high-resolution remote sensing map, and matching the vehicle running track with the high-resolution remote sensing map to complete path identification of the vehicle;
s5, binding the face recognition result of the driver with the vehicle account and the driving path of the vehicle;
s6, acquiring ETC networking charging related data through an application system, and performing regional clearing on the vehicle driving mileage and the vehicle cost according to the vehicle path recognition result; ETC networking charging related data comprises highway charging standards, vehicle types, road transportation and operation related information, electronic waybills and weighing data of all areas;
and S7, when the vehicle is driven away from the high speed, the ETC charging system is used for identifying the driving away from the high speed, deducting is carried out, the deducting result is verified, and refund or additional payment is carried out when the deducting result is wrong.
The above-described embodiments are merely illustrative of the preferred embodiments of the present invention, and do not limit the scope of the present invention, and various modifications and improvements of the technical solutions of the present invention can be made by those skilled in the art without departing from the spirit of the present invention, and the technical solutions of the present invention are within the scope of the present invention defined by the claims.
Claims (9)
1. An ETC charging system based on face recognition is characterized by comprising an image acquisition system, a data processing system, an application system, a data fusion system, an ETC charging system, a network system and a data storage system;
the image acquisition system is used for acquiring images of a driver and transmitting the acquired images to the data processing system;
the data processing system comprises a face recognition unit and a key action recognition unit; the face recognition unit is used for carrying out face recognition on a driver; the key action recognition unit is used for detecting fatigue driving of a driver;
the application system is used for providing data for vehicle account authentication, vehicle driving track identification and ETC networking charging;
the data fusion system is used for generating an account for the vehicle according to the data provided by the application system, binding the face recognition result of the driver with the account corresponding to the vehicle, recognizing the path of the vehicle and binding the face recognition result of the driver with the path recognition result of the vehicle;
the ETC charging system is used for calculating the driving mileage and the cost of the vehicle in different areas;
the network system is used for providing information transmission for the ETC charging system based on the face recognition;
the data storage system is used for storing the vehicle account, the vehicle running path and the charging information.
2. The ETC charging system based on face recognition according to claim 1, further comprising an early warning system for alarming according to a fatigue driving judgment result to remind a driver.
3. The face recognition based ETC charging system according to claim 1, further comprising a security system for providing a secure operating environment for the face recognition based ETC charging system.
4. The ETC charging system based on face recognition according to claim 1, wherein the application system comprises an operation administration system, an ETC payment system, a road transportation certificate IC card management system, a vehicle networking joint control system, a source control and over-the-road system and a high-score remote sensing system.
5. The ETC charging system based on the face recognition according to claim 4, wherein the data fusion system obtains a vehicle running track through GPS networking joint control data provided by the vehicle networking joint control system, and matches the vehicle running track with a high-score remote sensing map provided by the high-score remote sensing system to complete the path recognition of the vehicle.
6. The ETC charging system based on face recognition according to claim 1, which comprises a data reading and writing unit, a recognition passing unit, a dynamic matching and calculating unit and a charging verification unit;
the data reading and writing unit is used for calling data matched with the vehicle from the application system;
the identification and release unit is used for identifying the high speed of vehicle entering and exiting and activating the ETC charging system based on the face identification when the high speed entering is identified;
the dynamic matching and calculating unit is used for carrying out regional calculation on the vehicle driving mileage and the vehicle driving route provided by the data fusion system according to the data called by the data reading and writing unit;
the charge checking unit is used for checking the charge calculated by the dynamic matching and calculating unit, and when the calculation is wrong, the charge is returned or supplemented.
7. The ETC charging system based on face recognition according to claim 1, wherein the network system comprises a private operation administration network, an ETC networking charging private network and the Internet.
8. The ETC charging method based on face recognition according to any one of claims 1-7, characterized by comprising the following steps:
acquiring relevant data of the vehicle through an application system, and generating an account for the vehicle;
when the vehicle drives in at a high speed, the ETC charging system is used for carrying out drive-in high-speed identification and activating the ETC charging system based on the face identification;
acquiring an image of a driver through an image acquisition system, and performing face recognition and fatigue driving detection on the driver through a data processing system;
acquiring GPS networking joint control data through an application system to obtain a vehicle running track and a high-resolution remote sensing map, and matching the vehicle running track with the high-resolution remote sensing map to complete path identification of the vehicle;
binding the face recognition result of the driver with the vehicle account and the driving path of the vehicle;
acquiring ETC networking charging related data through an application system, and clearing the driving mileage and the cost of the vehicle in different areas according to the vehicle path identification result;
when the vehicle is driven away from the high speed, the ETC charging system is used for carrying out high-speed driving away identification, fee deduction is carried out, fee deduction results are verified, and fee refunding or payment supplementing is carried out when fee deduction is wrong.
9. The ETC charging method based on face recognition according to claim 8, wherein the fatigue driving detection method comprises:
based on an image of a driver, acquiring a thermal imaging graph of the driver through a weakly supervised convolutional neural network, and acquiring a key subregion of the driver through the thermal imaging graph;
based on a thermal imaging map of a driver, adopting Yolov3 to construct a key subregion positioning model, positioning a key subregion of the driver, and extracting an image of the key subregion;
constructing a multi-channel convolution network identification model based on the extracted images of the key subregions, and identifying open and closed eyes and yawning;
and calculating the percentage of the eye closing state and the frequency of the yawning in unit time by adopting a PERCLOS algorithm, and judging the fatigue driving if the percentage of the eye closing state and the frequency of the yawning exceed preset thresholds.
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Application publication date: 20210122 |