CN104574547A - Method for preventing fee evasion on highways on basis of face recognition technologies - Google Patents
Method for preventing fee evasion on highways on basis of face recognition technologies Download PDFInfo
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- CN104574547A CN104574547A CN201510043230.0A CN201510043230A CN104574547A CN 104574547 A CN104574547 A CN 104574547A CN 201510043230 A CN201510043230 A CN 201510043230A CN 104574547 A CN104574547 A CN 104574547A
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- fee evasion
- facial image
- highway
- blacklist
- face
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Classifications
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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
-
- 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
- G06V40/161—Detection; Localisation; Normalisation
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/20—Individual registration on entry or exit involving the use of a pass
- G07C9/22—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
- G07C9/25—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
- G07C9/257—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition electronically
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/20—Individual registration on entry or exit involving the use of a pass
- G07C9/29—Individual registration on entry or exit involving the use of a pass the pass containing active electronic elements, e.g. smartcards
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Business, Economics & Management (AREA)
- Finance (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Devices For Checking Fares Or Tickets At Control Points (AREA)
Abstract
The invention relates to the field of security and protection monitoring, in particular to a method for preventing fee evasion on highways on the basis of face recognition technologies. The method includes steps of (a), acquiring face images of drivers and passengers when vehicles run into entrance stations of the highways and access cards are fetched; (b), acquiring face feature information of the face images acquired in the step a, modeling the face feature information, correlating the face feature information with the access cards and storing the face feature information in databases; (c), acquiring face images of the drivers and the passengers when the vehicles are close to exit stations of the highways; (d), comparing and analyzing the face images acquired in the step c and the information in the databases and correspondingly processing the face images according to comparison results. The method has the advantages that deployment and control can be implemented in advance, the method is favorable for striking traffic illegal activities, regulation on the highlighted traffic illegal activities such as traffic escape and violation checkpoint rushing can be strengthened, transport order of road traffic and the personal and property safety of the public can be guaranteed, and toll loss of the highways can be reduced.
Description
Technical field
The present invention relates to protection and monitor field, particularly relate to a kind of highway for preventing fee evasion method based on face recognition technology.
Background technology
What current highway passing card adopted is RFID composite card, RFID composite card adopts radio RF recognition technology obtaining information, driver is through RFID beacon station, receive the radiofrequency signal that sends from RFID beacon station and record in visa card through dot information, when driving to outlet charge station, fee-collector with card reader read visa card record through dot information, the driving path of reduction vehicle, and charging according to corresponding expenses standard.Along with freeway network is formed, highway fee evasion interests are huge, and highway fee evasion behavior expanding day, various cheating mode emerges in an endless stream.Although also take positive measure to build the anti-fee evasion system of high definition bayonet socket Car license recognition to hit highway fee evasion behavior, change board, change the means such as card because Some vehicles adopts, anti-fee evasion technological means still needs to supplement further to improve.
Summary of the invention
For the deficiency that prior art exists, the object of the invention is to be to provide a kind of effective, based on the highway for preventing fee evasion method of face recognition technology.
For achieving the above object, the present invention can be achieved by the following technical programs:
Based on a highway for preventing fee evasion method for face recognition technology, comprise the following steps:
A () enters at vehicle the facial image gathering driver and crew when visa card is got at highway-entrance station;
B described in () obtaining step a, the face characteristic information of facial image carries out modeling, and associate with visa card and be saved in database;
(c) vehicle near highway exit station time gather the facial image of driver and crew;
D facial image described in step c and database information compare by (), carry out respective handling according to comparison result.
Further, described steps d comprises the following steps:
(d1) facial image described in step c and fee evasion blacklist are carried out recognition of face comparison, if these driver and crew are in fee evasion blacklist, warning system sends alerting signal; If these driver and crew are not in fee evasion blacklist, perform steps d 2;
(d2) according to step c, facial image extracts the access station information of these driver and crew in a database, calculates the toll that should pay according to its access station and outlet station;
(d3) according to these driver and crew hold visa card and calculate the toll that should pay;
(d4) toll that steps d 2 and steps d 3 calculate is compared, if two expenses are inconsistent, then exist and change card fee evasion behavior, warning system sends alerting signal, and staff adds fee evasion blacklist facial image described in step c; If two expenses are consistent, then do not exist and change card fee evasion behavior, vehicle payment is let pass.
Further, vehicle near highway exit station time, judge whether vehicle rushes card by force, and if so, warning system sends alerting signal, facial image described in step c is added fee evasion blacklist by staff; If not, steps d is performed.
Further, described facial image is gathered by high-definition camera rifle, guarantees to collect clear effective facial image.
Further, facial image described in step b is the top-quality facial image that system is selected automatically, prevents facial image distortion.
Further, fee evasion blacklist described in steps d 1 is the fee evasion blacklist of face graphic information system and public security system, and comprehensive comparison is not omitted.
The present invention is by gathering the facial image of all car driver and crew at charge station's bayonet socket, build database information system, by blacklist comparison and facial image identification comparison, payment range information on comprehensive visa card, discriminatory analysis goes out whether to have history fee evasion behavior and just in fee evasion behavior, accomplish to dispose in advance and control, be conducive to hitting traffic violation, strengthen and such as the traffic of outstanding traffic violation is escaped, punching card violating the regulations waits the regulation of behavior, guarantee Road Transportation order, and the personal safety as well as the property safety of the numerous common people, reduce freeway toll loss.Also be conducive to improving hitting the dynamics of breaking laws and commit crime simultaneously, reduce the generation of accident, when there is accident, can rapid reaction be accomplished.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of embodiments of the invention one;
Fig. 2 is the process flow diagram of embodiments of the invention two.
Embodiment
Below in conjunction with accompanying drawing and embodiment, the present invention is further illustrated:
Embodiment one
As shown in Figure 1, a kind of highway for preventing fee evasion method based on face recognition technology of the present invention, comprises the following steps:
Step S1: provide portrait cloth control terminal, enters at vehicle the facial image automatically gathering driver and crew when visa card is got at highway-entrance station;
The face characteristic information of step S2: obtaining step S1 facial image carries out modeling, and associates with visa card and be saved in database, builds human face image information system;
Step S3: portrait cloth control terminal is provided, vehicle near highway exit station time, gather the facial image of driver and crew;
Step S5: warning system sends alerting signal, staff takes measures on customs clearance;
Step S6: the facial image of step S3 is added fee evasion blacklist by staff;
Step 701: the facial image of step S3 and fee evasion blacklist are carried out recognition of face comparison;
Step 702: judge these driver and crew whether in fee evasion blacklist, if so, performs step S5; If not, step S703 is performed;
Step S703: the access station information extracting these driver and crew according to the facial image of step S3 in the human face image information system of database, calculates the toll that should pay according to its access station and outlet station;
Step S704: according to these driver and crew hold visa card and calculate the toll that should pay;
Step S705: the toll that step S703 and step S704 calculates is compared, if two expenses are inconsistent, then exist and changes card fee evasion behavior, perform step S5 and S6; If two expenses are consistent, then do not exist and change card fee evasion behavior, perform step S706;
Step S706: vehicle payment is let pass.
Embodiment two
As shown in Figure 1, a kind of highway for preventing fee evasion method based on face recognition technology of the present invention, comprises the following steps:
Step S1: provide portrait cloth control terminal, enters at vehicle the facial image automatically gathering driver and crew when visa card is got at highway-entrance station;
The face characteristic information of step S2: obtaining step S1 facial image carries out modeling, and associates with visa card and be saved in database, builds human face image information system;
Step S3: portrait cloth control terminal is provided, vehicle near highway exit station time, gather the facial image of driver and crew;
Step S4: vehicle near highway exit station time, judge whether vehicle rushes card by force, if so, perform step S5 and S6, if not, perform step S701;
Step S5: warning system sends alerting signal, staff takes measures on customs clearance;
Step S6: the facial image of step S3 is added fee evasion blacklist by staff;
Step 701: the facial image of step S3 and fee evasion blacklist are carried out recognition of face comparison;
Step 702: judge these driver and crew whether in fee evasion blacklist, if so, performs step S5; If not, step S703 is performed;
Step S703: the access station information extracting these driver and crew according to the facial image of step S3 in the human face image information system of database, calculates the toll that should pay according to its access station and outlet station;
Step S704: according to these driver and crew hold visa card and calculate the toll that should pay;
Step S705: the toll that step S703 and step S704 calculates is compared, if two expenses are inconsistent, then exist and changes card fee evasion behavior, perform step S5 and S6; If two expenses are consistent, then do not exist and change card fee evasion behavior, perform step S706;
Step S706: vehicle payment is let pass.
Wherein, step S701-S706 is the concrete steps of " facial image of step S3 and database information are compared, carry out respective handling according to comparison result ".
Preferably, for ensureing the acquisition quality of facial image, portrait cloth control terminal adopts high-definition camera rifle.
Preferably, the facial image of step S2 is the top-quality facial image that system is selected automatically, prevents facial image distortion.
Preferably, the fee evasion blacklist of step S702 is the fee evasion blacklist of face graphic information system and public security system, and comprehensive comparison is not omitted.
Carry out sight according to the method described above to illustrate:
1, blacklist early warning: driver and crew A once had fee evasion behavior, has been put into the fee evasion blacklist of human face image information system.When he drives to the normal swipe payment of highway exit station, high-definition camera rifle carries out facial image candid photograph to it, human face image information is transferred to database by system, face comparative analysis is carried out with fee evasion blacklist, find that he is a member of fee evasion blacklist, then warning system sends these driver and crew of alerting signal prompting charge station staff abnormal fee evasion behavior, and staff can require that he first closes last toll.
2, change card fee evasion early warning: driver and crew A to get on visa card C1 at a high speed at highway-entrance station Z1, when his card taking, high-definition camera rifle carries out facial image to it and captures and be stored into database; Driver and crew B to get on visa card C2 at a high speed at highway-entrance station Z2, and when his card taking, high-definition camera rifle carries out facial image to it and captures database.Suppose that A is long-distance running, B is that short distance travels, A thinks that long-distance running is short and goes out to reach the object reducing toll, card is changed in two people midways, A holds visa card C2 and to swipe the card payment at highway exit expense station Z3, high-definition camera rifle carries out facial image candid photograph again to it, human face image information is transferred to database analysis by system, the toll finding the toll that calculated by facial image and calculate according to visa card is inconsistent, then warning system sends alerting signal and reminds these driver and crew of charge station staff to have abnormal fee evasion behavior.
As can be seen from above-mentioned two examples: the method turnover highway adopting the present invention to propose, system sound and light alarm can be carried out to history fee evasion behavior and occurent fee evasion behavior, prompting staff, watched out for, and the fee evasion driver facial image of confirmation is added " fee evasion blacklist ".Accomplish to control in advance and early warning to controlled personnel by face recognition technology, for highway for preventing fee evasion provides reliable Information base, for hitting punching card, malice fee evasion behavior provides effective means.
For a person skilled in the art, according to above technical scheme and design, other various corresponding change and distortion can be made, and all these change and distortion all should belong within the protection domain of the claims in the present invention.
Claims (6)
1., based on a highway for preventing fee evasion method for face recognition technology, it is characterized in that, comprise the following steps:
A () enters at vehicle the facial image gathering driver and crew when visa card is got at highway-entrance station;
B described in () obtaining step a, the face characteristic information of facial image carries out modeling, and associate with visa card and be saved in database;
(c) vehicle near highway exit station time gather the facial image of driver and crew;
D facial image described in step c and database information compare by (), carry out respective handling according to compare of analysis result.
2. the highway for preventing fee evasion method based on face recognition technology according to claim 1, is characterized in that: described steps d comprises the following steps:
(d1) facial image described in step c and fee evasion blacklist are carried out recognition of face comparison, if these driver and crew are in fee evasion blacklist, warning system sends alerting signal; If these driver and crew are not in fee evasion blacklist, perform steps d 2;
(d2) according to step c, facial image extracts the access station information of these driver and crew in a database, calculates the toll that should pay according to its access station and outlet station;
(d3) according to these driver and crew hold visa card and calculate the toll that should pay;
(d4) toll that steps d 2 and steps d 3 calculate is compared, if two expenses are inconsistent, then exist and change card fee evasion behavior, warning system sends alerting signal, and staff adds fee evasion blacklist facial image described in step c; If two expenses are consistent, then do not exist and change card fee evasion behavior, vehicle payment is let pass.
3. the highway for preventing fee evasion method based on face recognition technology according to claim 1, it is characterized in that: vehicle near highway exit station time, judge whether vehicle rushes card by force, if, warning system sends alerting signal, and facial image described in step c is added fee evasion blacklist by staff; If not, steps d is performed.
4. the highway for preventing fee evasion method based on face recognition technology according to claim 1, is characterized in that: described facial image is gathered by high-definition camera rifle.
5. the highway for preventing fee evasion method based on face recognition technology according to claim 1, is characterized in that: facial image described in step b is the top-quality facial image that system is selected automatically.
6. the highway for preventing fee evasion method based on face recognition technology according to claim 2, is characterized in that: fee evasion blacklist described in steps d 1 is the fee evasion blacklist of face graphic information system and public security system.
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Cited By (12)
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| CN105139462A (en) * | 2015-08-21 | 2015-12-09 | 青岛理工大学 | Two-dimension-code-based method for preventing vehicle passing through tollgate forcibly on highway |
| CN106023326A (en) * | 2016-07-22 | 2016-10-12 | 上海市政工程设计研究总院（集团）有限公司 | Expressway non-stop toll collection method based on face recognition |
| CN106251414A (en) * | 2016-07-22 | 2016-12-21 | 上海市政工程设计研究总院（集团）有限公司 | Highway toll collection system based on recognition of face |
| CN106846802A (en) * | 2017-02-09 | 2017-06-13 | 陕西公路交通科技开发咨询公司 | A kind of expressway data processing method and device |
| CN108090977A (en) * | 2018-01-31 | 2018-05-29 | 西安艾润物联网技术服务有限责任公司 | Recognition of face charging method, device and computer readable storage medium |
| CN108288382A (en) * | 2018-01-11 | 2018-07-17 | 安徽皖通科技股份有限公司 | A method of biradical Model checking vehicle confidence level is doubted based on letter |
| CN108364362A (en) * | 2018-01-31 | 2018-08-03 | 西安艾润物联网技术服务有限责任公司 | Recognition of face charging method, device and computer readable storage medium |
| CN109686105A (en) * | 2019-01-30 | 2019-04-26 | 李慧琴 | High speed blacklist alarm system and alarm method |
| CN109785615A (en) * | 2018-12-28 | 2019-05-21 | 合肥品恩智能科技有限公司 | A kind of early warning shunting subsystem for public security checking station |
| WO2019127655A1 (en) * | 2017-12-30 | 2019-07-04 | 惠州学院 | Method and system for identifying harmful video on basis of user id and video copy |
| CN111694981A (en) * | 2020-06-21 | 2020-09-22 | 深圳天海宸光科技有限公司 | Gas station fee evasion alarm system and method based on machine vision |
| CN111798356A (en) * | 2020-07-09 | 2020-10-20 | 北京交通大学 | Rail transit passenger flow abnormal pattern recognition method based on big data |
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| CN105139462A (en) * | 2015-08-21 | 2015-12-09 | 青岛理工大学 | Two-dimension-code-based method for preventing vehicle passing through tollgate forcibly on highway |
| CN106023326A (en) * | 2016-07-22 | 2016-10-12 | 上海市政工程设计研究总院（集团）有限公司 | Expressway non-stop toll collection method based on face recognition |
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| CN108364362A (en) * | 2018-01-31 | 2018-08-03 | 西安艾润物联网技术服务有限责任公司 | Recognition of face charging method, device and computer readable storage medium |
| CN108090977A (en) * | 2018-01-31 | 2018-05-29 | 西安艾润物联网技术服务有限责任公司 | Recognition of face charging method, device and computer readable storage medium |
| CN109785615A (en) * | 2018-12-28 | 2019-05-21 | 合肥品恩智能科技有限公司 | A kind of early warning shunting subsystem for public security checking station |
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| CN109686105A (en) * | 2019-01-30 | 2019-04-26 | 李慧琴 | High speed blacklist alarm system and alarm method |
| CN111694981A (en) * | 2020-06-21 | 2020-09-22 | 深圳天海宸光科技有限公司 | Gas station fee evasion alarm system and method based on machine vision |
| CN111798356A (en) * | 2020-07-09 | 2020-10-20 | 北京交通大学 | Rail transit passenger flow abnormal pattern recognition method based on big data |
| CN111798356B (en) * | 2020-07-09 | 2023-11-10 | 北京交通大学 | Rail transit passenger flow abnormal pattern recognition method based on big data |
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