CN104574547B - A kind of highway for preventing fee evasion method based on face recognition technology - Google Patents
A kind of highway for preventing fee evasion method based on face recognition technology Download PDFInfo
- Publication number
- CN104574547B CN104574547B CN201510043230.0A CN201510043230A CN104574547B CN 104574547 B CN104574547 B CN 104574547B CN 201510043230 A CN201510043230 A CN 201510043230A CN 104574547 B CN104574547 B CN 104574547B
- Authority
- CN
- China
- Prior art keywords
- facial image
- fee evasion
- highway
- crew
- driver
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- 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
Abstract
The present invention relates to protection and monitor field, more particularly to a kind of highway for preventing fee evasion method based on face recognition technology, comprise the following steps：A) facial image of collection driver and crew when highway-entrance station takes visa card is entered in vehicle；(b) face characteristic information of facial image is modeled described in obtaining step a, and is associated with visa card and be saved in database；(c) facial image of driver and crew is gathered when vehicle is close to highway exit station；(d) facial image described in step c is compared with database information, respective handling is carried out according to comparison result.The present invention accomplishes to dispose and control in advance, is advantageous to hit traffic violation, strengthens and such as traffic of prominent traffic violation is escaped, the regulation of the behaviors such as punching card violating the regulations, ensure Road Transportation order, and the personal safety as well as the property safety of the numerous common people, reduce freeway toll loss.
Description
Technical field
The present invention relates to protection and monitor field, more particularly to a kind of highway for preventing fee evasion side based on face recognition technology
Method.
Background technology
Highway passing card is obtained using RFID composite cards, RFID composite cards using radio RF recognition technology at present
Win the confidence breath, driver receives the radiofrequency signal that is sent from RFID beacon stations and in visa card when by RFID beacon stations
Passing point information is recorded, when driving to outlet charge station, fee-collector reads the passing point information of visa card record with card reader,
The driving path of vehicle is reduced, and is charged according to corresponding expenses standard.As freeway network is formed, highway
Fee evasion interests are huge, and highway fee evasion behavior expands day by day, and various cheating modes emerge in an endless stream.Although also take positive
Measure builds the anti-escape charge system of high definition bayonet socket Car license recognition to hit highway fee evasion behavior, but due to Some vehicles
Using changing board, changing the means such as card, anti-fee evasion technological means still needs to further supplement and improved.
The content of the invention
In view of the deficienciess of the prior art, the purpose of the present invention be to provide it is a kind of it is effective, based on recognition of face
The highway for preventing fee evasion method of technology.
To achieve the above object, the present invention can be achieved by the following technical programs：
A kind of highway for preventing fee evasion method based on face recognition technology, comprises the following steps：
(a) facial image of collection driver and crew when highway-entrance station takes visa card is entered in vehicle；
(b) face characteristic information of facial image is modeled described in obtaining step a, and is associated with visa card and be saved in number
According to storehouse；
(c) facial image of driver and crew is gathered when vehicle is close to highway exit station；
(d) facial image described in step c is compared with database information, corresponding position is carried out according to comparison result
Reason.
Further, the step d comprises the following steps：
(d1) facial image described in step c is carried out into recognition of face with fee evasion blacklist to compare, if the driver and crew are fugitive
Take in blacklist, warning system sends alarm signal；If the driver and crew not in fee evasion blacklist, perform step d2；
(d2) facial image according to step c extracts the access station information of the driver and crew in database, according to it
Access station and outlet station calculate the pass cost that should be paid；
(d3) hold visa card according to the driver and crew and calculate the pass cost that should pay；
(d4) step d2 and step the d3 pass cost calculated are compared, if two expenses are inconsistent, existed
Card fee evasion behavior is changed, warning system sends alarm signal, and facial image described in step c is added fee evasion blacklist by staff；
If two expenses are consistent, card fee evasion behavior of changing is not present, vehicle payment is let pass.
Further, when vehicle is close to highway exit station, vehicle whether by force punching card is judged, if so, warning system is sent out
Go out alarm signal, facial image described in step c is added fee evasion blacklist by staff；If it is not, perform step d.
Further, the facial image is acquired by high-definition camera rifle, guarantees to collect clear effective people
Face image.
Further, facial image described in step b is the top-quality facial image that system is selected automatically, prevents face
Image fault.
Further, fee evasion blacklist described in step d1 is the black name of fee evasion of facial image information system and public security system
It is single, compare and do not omit comprehensively.
The present invention passes through the facial image in all car driver and crew of charge station's bayonet socket collection, structure database letter
Breath system, is compared by blacklist and facial image identification compares, and the payment range information on comprehensive visa card, discriminatory analysis goes out
Whether there is history fee evasion behavior and just in fee evasion behavior, accomplish to dispose and control in advance, be advantageous to hit traffic violation, add
It is strong that such as traffic of prominent traffic violation is escaped, the regulation for the behaviors such as punching card of breaking rules and regulations, it is ensured that Road Transportation order, with
And the personal safety as well as the property safety of the numerous common people, reduce freeway toll loss.It is also beneficial to improve simultaneously to hit and breaks laws and commit crime
Dynamics, the generation of accident is reduced, when accident occurs, fast reaction can be accomplished.
Brief description of the drawings
Fig. 1 is the flow chart of embodiments of the invention one；
Fig. 2 is the flow chart 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, including with
Lower step：
Step S1：Portrait cloth control terminal is provided, automatic data collection drives people when vehicle takes visa card into highway-entrance station
The facial image of member；
Step S2：The face characteristic information of obtaining step S1 facial images is modeled, and is associated and be saved in visa card
Database, build human face image information system；
Step S3：Portrait cloth control terminal is provided, when vehicle is close to highway exit station, gathers the face figure of driver and crew
Picture；
Step S5：Warning system sends alarm signal, and staff takes measures on customs clearance；
Step S6：Step S3 facial image is added fee evasion blacklist by staff；
Step 701：Step S3 facial image is carried out into recognition of face with fee evasion blacklist to compare；
Step 702：The driver and crew are judged whether in fee evasion blacklist, if so, performing step S5；If it is not, perform step
Rapid S703；
Step S703：Driving people is extracted in the human face image information system of database according to step S3 facial image
The access station information of member, the pass cost that should be paid is calculated according to its access station and outlet station；
Step S704：Visa card, which is held, according to the driver and crew calculates the pass cost that should pay；
Step S705：Step S703 and step the S704 pass cost calculated are compared, if two expenses differ
Cause, then card fee evasion behavior of changing be present, perform step S5 and S6；If two expenses are consistent, it are not present and change card fee evasion behavior, performs
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, including with
Lower step：
Step S1：Portrait cloth control terminal is provided, automatic data collection drives people when vehicle takes visa card into highway-entrance station
The facial image of member；
Step S2：The face characteristic information of obtaining step S1 facial images is modeled, and is associated and be saved in visa card
Database, build human face image information system；
Step S3：Portrait cloth control terminal is provided, when vehicle is close to highway exit station, gathers the face figure of driver and crew
Picture；
Step S4：When vehicle is close to highway exit station, judge vehicle whether by force punching card, if so, perform step S5 and
S6, if it is not, performing step S701；
Step S5：Warning system sends alarm signal, and staff takes measures on customs clearance；
Step S6：Step S3 facial image is added fee evasion blacklist by staff；
Step 701：Step S3 facial image is carried out into recognition of face with fee evasion blacklist to compare；
Step 702：The driver and crew are judged whether in fee evasion blacklist, if so, performing step S5；If it is not, perform step
Rapid S703；
Step S703：Driving people is extracted in the human face image information system of database according to step S3 facial image
The access station information of member, the pass cost that should be paid is calculated according to its access station and outlet station；
Step S704：Visa card, which is held, according to the driver and crew calculates the pass cost that should pay；
Step S705：Step S703 and step the S704 pass cost calculated are compared, if two expenses differ
Cause, then card fee evasion behavior of changing be present, perform step S5 and S6；If two expenses are consistent, it are not present and change card fee evasion behavior, performs
Step S706；
Step S706：Vehicle payment is let pass.
Wherein, step S701-S706 for " step S3 facial image is compared with database information, according to
The specific steps of comparison result progress respective handling ".
Preferably, to ensure the acquisition quality of facial image, portrait cloth control terminal uses high-definition camera rifle.
Preferably, step S2 facial image is the top-quality facial image that system is selected automatically, prevents face figure
Image distortion.
Preferably, step S702 fee evasion blacklist is the fee evasion blacklist of facial image information system and public security system,
Compare and do not omit comprehensively.
Scene illustration is carried out according to the method described above：
1st, blacklist early warning：Driver and crew A once had fee evasion behavior, and the fee evasion for being put into human face image information system is black
List.When he drives to the normal swipe payment of highway exit station, high-definition camera rifle carries out facial image candid photograph to it, and system will
Human face image information is transferred to database, carries out face comparative analysis with fee evasion blacklist, it is the one of fee evasion blacklist to find him
Member, then warning system send alarm signal and remind the charge station staff driver and crew to have abnormal fee evasion behavior, staff
It can require that he first closes the pass cost of last time.
2nd, card fee evasion early warning is changed：Driver and crew A is taken on visa card C1 at a high speed in highway-entrance station Z1, the high definition in his card taking
Camera gun carries out facial image candid photograph storage to it and arrives database；Driver and crew B takes high on visa card C2 in highway-entrance station Z2
Speed, in his card taking, high-definition camera rifle carries out facial image candid photograph to it and arrives database.Assuming that A is long-distance running, B is short distance row
Sail, A thinks that long-distance running is short and goes out to reach to reduce the purpose of pass cost, and two people change card in midway, and A holds visa card C2 and stood Z3 in highway exit expense
Swipe the card payment, high-definition camera rifle carries out facial image candid photograph to it again, and human face image information is transferred to database point by system
Analysis, it is found that the pass cost calculated by facial image and the pass cost calculated according to visa card are inconsistent, then warning system
Sending alarm signal reminds the charge station staff driver and crew to have abnormal fee evasion behavior.
It can be seen that by above-mentioned two example：Highway is passed in and out using method proposed by the present invention, history can be escaped
Take behavior and occurent fee evasion behavior carries out system sound and light alarm, prompt staff, be vigilant, and what be will confirm that escapes
Take driver's facial image and add " fee evasion blacklist ".Controlled personnel are accomplished to control in advance by face recognition technology and early warning,
Reliable Information base is provided for highway for preventing fee evasion, effective means is provided for strike punching card, malice fee evasion behavior.
For those skilled in the art, it is various corresponding can be made according to above technical scheme and design for other
Change and deformation, and all these change and deformation should all belong within the protection domain of the claims in the present invention.
Claims (5)
- A kind of 1. highway for preventing fee evasion method based on face recognition technology, it is characterised in that comprise the following steps：（a）Enter the facial image that driver and crew are gathered when highway-entrance station takes visa card in vehicle；（b）The face characteristic information of facial image is modeled described in obtaining step a, and is associated with visa card and be saved in data Storehouse；（c）The facial image of driver and crew is gathered when vehicle is close to highway exit station；（d）Facial image described in step c is compared with database information, corresponding position is carried out according to analysis result is compared Reason；The step d comprises the following steps：（d1）Facial image described in step c is carried out into recognition of face with fee evasion blacklist to compare, if the driver and crew are black in fee evasion In list, warning system sends alarm signal；If the driver and crew not in fee evasion blacklist, perform step d2；（d2）The access station information of the driver and crew is extracted in database according to facial image described in step c, according to its entrance Stand and outlet station calculates the pass cost that should be paid；（d3）Visa card, which is held, according to the driver and crew calculates the pass cost that should pay；（d4）Step d2 and step the d3 pass cost calculated are compared, if two expenses are inconsistent, exist and changes card Fee evasion behavior, warning system send alarm signal, and facial image described in step c is added fee evasion blacklist by staff；If two Individual expense is consistent, then card fee evasion behavior of changing is not present, and vehicle payment is let pass.
- 2. the highway for preventing fee evasion method according to claim 1 based on face recognition technology, it is characterised in that：In car During close to highway exit station, vehicle whether by force punching card is judged, if so, warning system sends alarm signal, staff will Facial image described in step c adds fee evasion blacklist；If it is not, perform step d.
- 3. the highway for preventing fee evasion method according to claim 1 based on face recognition technology, it is characterised in that：It is described Facial image is acquired by high-definition camera rifle.
- 4. the highway for preventing fee evasion method according to claim 1 based on face recognition technology, it is characterised in that：Step Facial image described in b is the top-quality facial image that system is selected automatically.
- 5. the highway for preventing fee evasion method according to claim 1 based on face recognition technology, it is characterised in that：Step Fee evasion blacklist described in d1 is the fee evasion blacklist of facial image information system and public security system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510043230.0A CN104574547B (en) | 2015-01-28 | 2015-01-28 | A kind of highway for preventing fee evasion method based on face recognition technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510043230.0A CN104574547B (en) | 2015-01-28 | 2015-01-28 | A kind of highway for preventing fee evasion method based on face recognition technology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104574547A CN104574547A (en) | 2015-04-29 |
| CN104574547B true CN104574547B (en) | 2018-02-09 |
Family
ID=53090507
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510043230.0A Active CN104574547B (en) | 2015-01-28 | 2015-01-28 | A kind of highway for preventing fee evasion method based on face recognition technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104574547B (en) |
Families Citing this family (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN106251414B (en) * | 2016-07-22 | 2021-01-01 | 上海市政工程设计研究总院（集团）有限公司 | Highway electronic toll collection system based on face recognition |
| CN106023326B (en) * | 2016-07-22 | 2021-01-01 | 上海市政工程设计研究总院（集团）有限公司 | Highway electronic toll collection method based on face recognition |
| CN106846802B (en) * | 2017-02-09 | 2021-01-05 | 陕西公路交通科技开发咨询公司 | Expressway data processing method and device |
| CN110020257A (en) * | 2017-12-30 | 2019-07-16 | 惠州学院 | The method and system of the harmful video of identification based on User ID and video copy |
| CN108288382B (en) * | 2018-01-11 | 2020-09-25 | 安徽皖通科技股份有限公司 | Method for judging vehicle reliability based on belief double-base model |
| 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 |
| CN109785615B (en) * | 2018-12-28 | 2021-07-06 | 合肥品恩智能科技有限公司 | Early warning shunting subsystem for public security inspection station |
| CN109686105B (en) * | 2019-01-30 | 2021-08-10 | 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 |
| 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 |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1725248A (en) * | 2004-07-21 | 2006-01-25 | 上海高德威智能交通系统有限公司 | Charged monitoring system for road charging monitoring and management section and its monitoring method |
| CN100587725C (en) * | 2008-07-25 | 2010-02-03 | 交通部公路科学研究院 | Control method for electronic charging system without parking |
| CN101692290A (en) * | 2009-10-12 | 2010-04-07 | 北京中星微电子有限公司 | Automatic control method and automatic control system |
| JP2013238913A (en) * | 2012-05-11 | 2013-11-28 | Toshiba Corp | Charge reception system |
| CN103400423B (en) * | 2013-08-01 | 2016-07-06 | 广州华工信息软件有限公司 | Highway fee evasion auditing system and method based on Distributed Calculation |
-
2015
- 2015-01-28 CN CN201510043230.0A patent/CN104574547B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN104574547A (en) | 2015-04-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104574547B (en) | A kind of highway for preventing fee evasion method based on face recognition technology | |
| CN105702048B (en) | Highway front truck illegal road occupation identifying system based on automobile data recorder and method | |
| CN105741560A (en) | Vehicle identification method used for gas station | |
| CN103927879B (en) | System and method for monitoring illegality of key transport vehicle | |
| CN106971552B (en) | Fake plate phenomenon detection method and system | |
| US8339282B2 (en) | Security systems | |
| CN109243005A (en) | The traveling of the police supervision and management of bicycle and intelligent city's management records system | |
| CN109635645A (en) | The illegal monitoring and managing method of Manpower Transportation, device and electronic equipment | |
| CN107248128B (en) | Intelligent ticket checking method and system | |
| CN107111940B (en) | Traffic violation management system and traffic violation management method | |
| CN103366506A (en) | Device and method for automatically monitoring telephone call behavior of driver when driving | |
| CN102867417A (en) | Taxi anti-forgery system and taxi anti-forgery method | |
| CN205827664U (en) | A kind of vehicle restricted driving supervisory systems based on RFID, laser and video | |
| CN111404874A (en) | Taxi suspect vehicle discrimination analysis system architecture | |
| CN105259304A (en) | On-line monitoring system and method for pollutants in vehicle tail gas | |
| CN107004352B (en) | Traffic violation management system and traffic violation management method | |
| CN107004351B (en) | Traffic violation management system and traffic violation management method | |
| US11482012B2 (en) | Method for driving assistance and mobile device using the method | |
| CN106652475A (en) | Highway vehicle management system based on global satellite navigation | |
| CN104851178B (en) | A kind of bus auto-calling system | |
| CN106327876B (en) | A kind of fake-licensed car capture system and method based on automobile data recorder | |
| CN105608422A (en) | Intelligent monitoring detection method for overloading of passenger car | |
| CN113965901B (en) | Expressway tunnel personnel monitoring method based on wireless probe | |
| KR101394201B1 (en) | Traffic violation enforcement system using cctv camera mounted on bus | |
| CN105279968A (en) | Discrimination system and method for the illegal emergency lane occupancy behavior of highway motor vehicle |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: 510000 Guangdong Guangzhou city Panyu District Panyu Avenue North 555 Tianan Panyu energy-saving Park Headquarters center 2 floor 12 floor Applicant after: Guangdong platinum Information Technology Co., Ltd. Address before: 510000 Guangdong Guangzhou city Panyu District Panyu Avenue North 555 Tianan Panyu energy-saving Park Headquarters center 2 floor 12 floor Applicant before: Guangdong Poya Information Technology Co.,Ltd. |
|
| CB02 | Change of applicant information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| PP01 | Preservation of patent right |
Effective date of registration: 20220524 Granted publication date: 20180209 |
|
| PP01 | Preservation of patent right |