CN115376328A - Highway toll inspection system and method based on video AI technology - Google Patents
Highway toll inspection system and method based on video AI technology Download PDFInfo
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- CN115376328A CN115376328A CN202210817344.6A CN202210817344A CN115376328A CN 115376328 A CN115376328 A CN 115376328A CN 202210817344 A CN202210817344 A CN 202210817344A CN 115376328 A CN115376328 A CN 115376328A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
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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
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
Abstract
The invention relates to the technical field of traffic, in particular to a highway toll inspection system and a highway toll inspection method based on a video AI technology; including entry information acquisition module, first server, export information acquisition module and second server and data processing module, the data processing module includes communication module, video data draws the module, AI contrast module, judge module and early warning module, first server and second server respectively with communication module electric connection, video data draws module and communication module electric connection, AI contrast module and video data draw module electric connection, judge module and AI contrast module electric connection, early warning module and judge module electric connection, will enter the station information and go out the station information through AI contrast module and contrast, confirm whether this vehicle has simultaneously and enters the station information and the information of leaving the station, realize improving the inspection effect, prevent that the vehicle can evade charge easily.
Description
Technical Field
The invention relates to the technical field of traffic, in particular to a highway toll inspection system and method based on a video AI technology.
Background
At present, an ETC portal frame is arranged at an entrance and an exit of an expressway, so that sectional charging and sectional fee deduction of ETC vehicles are realized, the passing efficiency of the expressway is improved, in the passing process of the expressway, charging is carried out in an open free flow charging mode, the fragmentation and the frequency of a multi-lane free flow charging transaction scene occur, and the illegal cost of vehicle fee evasion is low.
The method in the prior art is characterized in that an entrance information acquisition module, a first server, an exit information acquisition module and a second server are additionally arranged, the entrance information acquisition module acquires vehicle information and vehicle arrival information, the first server transmits the vehicle information and the vehicle arrival information, the exit information acquisition module acquires the vehicle information and the vehicle departure information, the second server transmits the vehicle information and the vehicle departure information, and whether the vehicle has the fee evasion condition or not is judged by comparing the vehicle arrival information with the vehicle departure information.
However, the check effect of the vehicle fee evasion is not good, and the vehicle can easily evade the fee.
Disclosure of Invention
The invention aims to provide a highway toll inspection system and method based on a video AI technology, and aims to solve the technical problems that the inspection effect is poor and vehicles can easily escape.
In order to achieve the purpose, the expressway charge inspection system based on the video AI technology comprises an entrance information acquisition module, a first server, an exit information acquisition module, a second server and a data processing module, wherein the entrance information acquisition module is electrically connected with the first server, and the exit information acquisition module is electrically connected with the second server;
the data processing module comprises a communication module, a video data extraction module, an AI comparison module, a judgment module and an early warning module, wherein the first server and the second server are respectively electrically connected with the communication module, the video data extraction module is electrically connected with the communication module, the AI comparison module is electrically connected with the video data extraction module, the judgment module is electrically connected with the AI comparison module, and the early warning module is electrically connected with the judgment module;
the entrance information acquisition module is used for acquiring vehicle information and vehicle arrival video information;
the first server is used for transmitting the vehicle information and the vehicle arrival video information;
the exit information acquisition module is used for acquiring vehicle information and vehicle outbound video information;
the second server is used for transmitting the vehicle information and the vehicle outbound video information;
the communication module is used for connecting the first server and the second server and transmitting vehicle information, vehicle inbound video information and vehicle outbound video information;
the video data extraction module is used for extracting vehicle inbound video information and vehicle outbound video information of the vehicle to respectively obtain the inbound information and the outbound information of the vehicle;
the AI comparison module is used for comparing the inbound information with the outbound information and confirming whether the vehicle has the inbound information and the outbound information at the same time;
the determination module is used for determining whether the vehicle has a fee evasion condition;
the early warning module is used for sending out warning of vehicle fee evasion.
The data processing module also comprises a display terminal, and the display terminal is electrically connected with the early warning module;
the display terminal is used for displaying the vehicle information of the fee evasion vehicle.
The data processing module further comprises a first storage module and a complementary module, wherein the first storage module is electrically connected with the judging module and the complementary module respectively;
the first storage module is used for storing fee evasion information of the vehicle;
and the compensation module is used for compensating the vehicle fee evasion.
The invention also provides an inspection method of the expressway charge inspection system based on the video AI technology, which comprises the following steps:
establishing the entrance information acquisition module and the exit information acquisition module, and using the entrance information acquisition module and the exit information acquisition module to obtain vehicle information, vehicle inbound video information and vehicle outbound video information;
the communication module is used for connecting the video data extraction module, the first server and the second server to transmit video information;
comparing the vehicle inbound video information with the vehicle outbound video information by using an AI technology, and determining whether the vehicle has inbound information and outbound information at the same time;
it is determined whether there is a fee evasion condition for the vehicle.
Wherein, in the steps of establishing the entrance information acquisition module and the exit information acquisition module, and using the entrance information acquisition module and the exit information acquisition module to obtain vehicle information, vehicle inbound video information and vehicle outbound video information:
the vehicle information includes license plate information, ETC information, and highway magnetic card information.
Wherein, in the step of determining whether the vehicle has a fee evasion condition:
if the vehicle has the inbound information and the outbound information at the same time, the vehicle does not have the fee evasion condition;
if the vehicle has the entrance information and does not have the exit information, determining that the vehicle escapes;
if the vehicle does not have the entrance information and has the exit information, the vehicle fee evasion is determined.
The invention relates to a highway toll inspection system and method based on video AI technology, wherein vehicle information and vehicle inbound video information are acquired through an entry information acquisition module, the first server transmits the vehicle information and the vehicle inbound video information, an exit information acquisition module acquires the vehicle information and the vehicle outbound video information, a second server transmits the vehicle information and the vehicle outbound video information, a communication module is connected with the first server and the second server and transmits the vehicle information, the vehicle inbound video information and the vehicle outbound video information, a video data extraction module extracts the vehicle inbound video information and the vehicle outbound video information of a vehicle to respectively obtain the inbound information and the outbound information of the vehicle, an AI comparison module compares the inbound information and the outbound information to confirm whether the vehicle has the inbound information and outbound information at the same time, a judgment module judges whether the vehicle has an escape condition, and an early warning module gives a warning for vehicle escape, so that the inspection effect is improved, and the vehicle is prevented from being easily charged.
Drawings
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 is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is an overall configuration diagram of the first embodiment of the present invention.
Fig. 2 is an overall configuration diagram of the second embodiment of the present invention.
FIG. 3 is a flowchart illustrating steps of a method for checking highway toll collection based on video AI technology according to the present invention.
FIG. 4 is a flowchart illustrating steps for determining whether an evasive condition exists for the vehicle in accordance with the present invention.
101-entrance information acquisition module, 102-first server, 103-exit information acquisition module, 104-second server, 105-communication module, 106-video data extraction module, 107-AI comparison module, 108-judgment module, 109-early warning module, 110-display terminal, 111-first storage module, 112-complement module, 201-data cache frame, 202-processing module, 203-sequencing module, 204-second storage module.
Detailed Description
The first embodiment is:
referring to fig. 1, fig. 1 is a schematic overall structure diagram of the first embodiment. The invention provides a highway toll inspection system based on a video AI technology, which comprises an entrance information acquisition module 101, a first server 102, an exit information acquisition module 103, a second server 104 and a data processing module, wherein the data processing module comprises a communication module 105, a video data extraction module 106, an AI comparison module 107, a judgment module 108, an early warning module 109, a display terminal 110, a first storage module 111 and a subsidy delivery module 112;
for the specific embodiment, the entrance information collection module 101 is electrically connected to the first server 102, the exit information collection module 103 is electrically connected to the second server 104, the entrance information collection module 101 is configured to collect vehicle information and vehicle arrival video information, the first server 102 is configured to transmit the vehicle information and the vehicle arrival video information, the exit information collection module 103 is configured to collect the vehicle information and the vehicle departure video information, and the second server 104 is configured to transmit the vehicle information and the vehicle departure video information.
The first server 102 and the second server 104 are respectively electrically connected to the communication module 105, the video data extraction module 106 is electrically connected to the communication module 105, the AI comparison module 107 is electrically connected to the video data extraction module 106, the determination module 108 is electrically connected to the AI comparison module 107, the warning module 109 is electrically connected to the determination module 108, the communication module 105 is configured to connect the first server 102 and the second server 104 and transmit vehicle information, vehicle arrival video information, and vehicle departure video information, the video data extraction module 106 is configured to extract the vehicle arrival video information and the vehicle departure video information of the vehicle to respectively obtain the arrival information and the departure information of the vehicle, the AI comparison module 107 is configured to compare the arrival information and the departure information to determine whether the vehicle has the arrival information and the departure information at the same time, the determination module 108 is configured to determine whether the vehicle has an fare evasion condition, and the warning module 109 is configured to issue a warning about fare evasion of the vehicle.
Secondly, the display terminal 110 is electrically connected with the early warning module 109, and the display terminal 110 is used for displaying vehicle information of the fee evading vehicle.
Meanwhile, the first storage module 111 is electrically connected to the determination module 108 and the reimbursement module 112, the first storage module 111 is used for storing fee evasion information of the vehicle, and the reimbursement module 112 is used for reimbursement processing of fee evasion of the vehicle.
The entrance information collection module 101 collects vehicle information and vehicle arrival video information, the first server 102 transmits the vehicle information and the vehicle arrival video information, the exit information collection module 103 collects the vehicle information and the vehicle departure video information, the second server 104 transmits the vehicle information and the vehicle departure video information, the communication module 105 is connected with the first server 102 and the second server 104 and transmits the vehicle information, the vehicle arrival video information and the vehicle departure video information, the video data extraction module 106 extracts the vehicle arrival video information and the vehicle departure video information of the vehicle to respectively obtain the arrival information and the departure information of the vehicle, the AI comparison module 107 compares the arrival information and the departure information to confirm whether the vehicle has the arrival information and the departure information at the same time, the determination module 108 determines whether the vehicle has the condition of arrival information and the departure information, the early warning module 109 sends a warning of vehicle fare evasion, the display terminal 110 displays the vehicle information of the vehicle evasion, the first storage module 111 stores the vehicle fare compensation information, the check module 112 can easily process the fare evasion effect of the vehicle, and can easily prevent the fare evasion.
The second embodiment is:
on the basis of the first embodiment, please refer to fig. 2, wherein fig. 2 is an overall structural schematic diagram of the second embodiment. The invention provides a highway toll inspection system based on a video AI technology, which also comprises a data processing module, wherein the data processing module comprises a data cache frame 201, a processing module 202, a sequencing module 203 and a second storage module 204;
for the specific embodiment, the data processing module is electrically connected to the video data extraction module 106 and the AI comparison module 107, and the data processing module is configured to perform AI comparison after processing the incoming video information and the outgoing video information of the vehicle, so as to improve comparison efficiency.
The data cache frame 201 is electrically connected to the video data extraction module 106, the processing module 202 is electrically connected to the data cache frame 201, the sorting module 203 is electrically connected to the processing module 202, the data cache frame 201 is configured to cache vehicle inbound video information and vehicle outbound video information, the processing module 202 is configured to screen out data without video information, and the sorting module 203 is configured to reorder the data to obtain processed vehicle inbound video information and vehicle outbound video information.
Secondly, the second storage module 204 is electrically connected to the sorting module 203 and the AI comparison module 107, respectively, and the second storage module 204 is configured to store the processed vehicle inbound video information and the processed vehicle outbound video information.
The data cache frame 201 caches vehicle inbound video information and vehicle outbound video information, the processing module 202 screens out data without video information, the sorting module 203 reorders the data to obtain processed vehicle inbound video information and vehicle outbound video information, the second storage module 204 stores the processed vehicle inbound video information and vehicle outbound video information, and the comparison efficiency is improved by caching the data in the data cache frame 201, then screening out and sorting the data, and then performing AI comparison.
Referring to fig. 3 and 4, fig. 3 is a flowchart illustrating steps of a highway toll inspection method based on video AI technology, and fig. 4 is a flowchart illustrating steps of determining whether the vehicle has a fee evasion situation. The invention also provides an inspection method of the expressway charge inspection system based on the video AI technology, which comprises the following steps:
s1: establishing the entrance information acquisition module 101 and the exit information acquisition module 103, and obtaining license plate information, ETC information, highway magnetic card information, vehicle inbound video information and vehicle outbound video information by using the entrance information acquisition module 101 and the exit information acquisition module 103;
s2: the communication module 105 is used for connecting the video data extraction module 106, the first server 102 and the second server 104 to transmit video information;
s3: comparing the vehicle inbound video information with the vehicle outbound video information by using an AI technology, and determining whether the vehicle has inbound information and outbound information at the same time;
s4: it is determined whether there is a fee evasion condition for the vehicle.
In an embodiment, the entrance information collection module 101 and the exit information collection module 103 are first established, the entrance information collection module 101 and the exit information collection module 103 are used to obtain license plate information, ETC information, highway magnetic card information, vehicle inbound video information and vehicle outbound video information, the communication module 105 is then used to connect the video data extraction module 106, the first server 102 and the second server 104 to transmit video information, an AI technology is then used to compare the vehicle inbound video information with the vehicle outbound video information, to confirm whether the vehicle has inbound information and outbound information at the same time, and finally to determine whether the vehicle has an fare evasion condition.
Further, in the step of determining whether the vehicle has an evasive condition:
s41: if the vehicle has the inbound information and the outbound information at the same time, the vehicle does not have the fee evasion condition;
s42: if the vehicle has the entrance information and does not have the exit information, determining that the vehicle escapes;
s43: if the vehicle does not have the entrance information and has the exit information, the vehicle fee evasion is determined.
In an embodiment, the vehicle is determined to be free if the vehicle has both the inbound information and the outbound information, and the vehicle is determined to be free if the vehicle has the inbound information and the outbound information and if the vehicle has neither the inbound information nor the outbound information.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (6)
1. A highway toll inspection system based on video AI technology comprises an entrance information acquisition module, a first server, an exit information acquisition module and a second server, wherein the entrance information acquisition module is electrically connected with the first server, the exit information acquisition module is electrically connected with the second server,
the device also comprises a data processing module;
the data processing module comprises a communication module, a video data extraction module, an AI comparison module, a determination module and an early warning module, wherein the first server and the second server are respectively and electrically connected with the communication module, the video data extraction module is electrically connected with the communication module, the AI comparison module is electrically connected with the video data extraction module, the determination module is electrically connected with the AI comparison module, and the early warning module is electrically connected with the determination module;
the entrance information acquisition module is used for acquiring vehicle information and vehicle arrival video information;
the first server is used for transmitting the vehicle information and the vehicle arrival video information;
the exit information acquisition module is used for acquiring vehicle information and vehicle outbound video information;
the second server is used for transmitting the vehicle information and the vehicle outbound video information;
the communication module is used for connecting the first server and the second server and transmitting vehicle information, vehicle inbound video information and vehicle outbound video information;
the video data extraction module is used for extracting the vehicle inbound video information and the vehicle outbound video information of the vehicle to respectively obtain the inbound information and the outbound information of the vehicle;
the AI comparison module is used for comparing the inbound information with the outbound information and confirming whether the vehicle has the inbound information and the outbound information at the same time;
the determination module is used for determining whether the vehicle has a fee evasion condition;
the early warning module is used for sending out warning of vehicle fee evasion.
2. The system for checking highway tolls based on video AI technique as claimed in claim 1,
the data processing module also comprises a display terminal which is electrically connected with the early warning module;
the display terminal is used for displaying the vehicle information of the fee evasion vehicle.
3. The system for checking highway tolls based on video AI technique as claimed in claim 1,
the data processing module further comprises a first storage module and a complement module, and the first storage module is electrically connected with the judging module and the complement module respectively;
the first storage module is used for storing fee evasion information of the vehicle;
and the compensation module is used for compensating the vehicle fee evasion.
4. An inspection method for highway tolls based on video AI technology, which applies the system of claim 1 for inspecting highway tolls based on video AI technology, comprising the following steps:
establishing the entrance information acquisition module and the exit information acquisition module, and using the entrance information acquisition module and the exit information acquisition module to obtain vehicle information, vehicle inbound video information and vehicle outbound video information;
the communication module is used for connecting the video data extraction module, the first server and the second server to transmit video information;
comparing the vehicle inbound video information with the vehicle outbound video information by using an AI technology, and determining whether the vehicle has inbound information and outbound information at the same time;
it is determined whether there is a fee evasion condition for the vehicle.
5. The method for checking highway toll collection based on video AI technology as claimed in claim 4, wherein in the step of establishing the entrance information collection module and the exit information collection module, and obtaining vehicle information, video information of vehicle entering a station and video information of vehicle exiting a station by using the entrance information collection module and the exit information collection module:
the vehicle information includes license plate information, ETC information, and highway magnetic card information.
6. The method as claimed in claim 4, wherein in the step of determining whether the vehicle has an evasion condition:
if the vehicle has the inbound information and the outbound information at the same time, the vehicle does not have the fee evasion condition;
if the vehicle has the entrance information and does not have the exit information, determining that the vehicle escapes;
if the vehicle does not have the entrance information and has the exit information, the vehicle is judged to be in charge of evasion.
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| CN202210817344.6A CN115376328A (en) | 2022-07-12 | 2022-07-12 | Highway toll inspection system and method based on video AI technology |
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| CN202210817344.6A CN115376328A (en) | 2022-07-12 | 2022-07-12 | Highway toll inspection system and method based on video AI technology |
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