CN106709470A - Human face identification-based train on-way ticket check method - Google Patents
Human face identification-based train on-way ticket check method Download PDFInfo
- Publication number
- CN106709470A CN106709470A CN201710003610.0A CN201710003610A CN106709470A CN 106709470 A CN106709470 A CN 106709470A CN 201710003610 A CN201710003610 A CN 201710003610A CN 106709470 A CN106709470 A CN 106709470A
- Authority
- CN
- China
- Prior art keywords
- train
- passenger
- ticket
- information
- face
- 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.)
- Pending
Links
Classifications
-
- 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
- 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
- G06V40/168—Feature extraction; Face representation
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Devices For Checking Fares Or Tickets At Control Points (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a human face identification-based train on-way ticket check method. The method comprises the basic steps of A, obtaining train running section information; B, acquiring facial images of passengers entering a station, certificate information and ticket information, establishing a passenger facial feature library, performing information matching, and uploading the information to a national railway data center; C, matching the passengers, tickets and the images with the information; D, obtaining compartment real-time images, transmitting the compartment real-time images to a train-mounted unit, and performing real-time image human face detection by the train-mounted unit to judge whether the passengers are qualified to take a train of a current section or not; and E, sending the facial images of the passengers unqualified to take the train of the current section to handheld ticket check terminals of trainmen, performing targeted directional face-to-face ticket check and ticket buying, and uploading and updating ticket buying information to the national railway data center. According to the method, on-way human face automatic identification and running section automatic matching are performed based on the train running information, the passenger ticket information and the facial features, so that train on-way video intelligent ticket check and to-be-checked object automatic identification are realized.
Description
Technical field
The present invention relates to video image identification treatment technology, the intelligent train more particularly to based on recognition of face is examined on way
Ticket method.
Background technology
China territory is vast in territory, and railway road network is in large scale, and by the end of the year 2015, china railway revenue kilometres are more than 12
Ten thousand kilometers, high ferro revenue kilometres are more than 1.9 ten thousand kilometers.《Mid-long term railway network plan》The year two thousand twenty is planned for, road network scale reaches
150000 kilometers, wherein 30,000 kilometers of high-speed railway." 13 " planning proposition will improve comprehensive modern transportation system, adhere to
Intelligent management and Integrated service, realize transportation service integration and high efficiency.
China railways start that passenger train quantity is more, and most of passenger train range ability is long, stops is more, institute in way
Stopping has passenger's boarding.Enter the station ticket checking, on car ticket checking and outbound ticket checking be passenger traffic ticket checking work fundamental, it is tight to coordinate
Closed loop could be formed, effectively prevents multi-form missing inspection situation from occurring, it is to avoid passenger traffic income suffers a loss.
Current railway gets on the train, and ticket checking is strict, and passenger is intensive outbound after train arrival, by personnel, equipment and passenger facility
Property constraint be difficult to by people check.It is interval that the N number of station of passenger train approach forms N-1 passenger traffic, district by district between check can be thorough
Bottom avoids missing inspection from occurring, but can significantly increase service on buses or trains live load and cause passenger's inconvenience, especially difficult when passenger traffic is interval shorter
To realize.Train is improved in the urgent need to advanced modernization solution in way ticket checking quality and efficiency, realizes being checked on way
High efficiency, low interference, all standing and intellectuality.
Human body face feature possesses the identity characteristic of uniqueness, and computer vision technique is fast-developing will to promote face to know
Other technology is to accuracy of identification is higher, response speed faster with the more low trend development of application cost.Current railway transport of passengers field is
Through entering pedestrian, card automatic Check technical research and realizing that ticket information station car is interacted, but there is not yet in way automation ticket checking and
The technical research achievement and corresponding product of intelligent monitoring.Advanced face recognition technology is studied, passenger's facial characteristics and car is matched
Ticket information is carried out in way ticket checking and security monitoring, is the Literature Lessons for ensureing passenger transport production safety and benefit, energy
Enough it is obviously improved passenger transport production efficiency, service quality and in way security protection level.
Railway enters the station ticket checking and outbound ticket checking be mainly ticket is entered the station, outbound, time and passenger's identity information with it is current
Whether station, current time and passenger's identity are contrasted, and are judged that passenger is out of the station and are met ticket and station information, out of the station to test
Ticket technology, system and equipment comparative maturity, at present in the popularization and application of part passenger station, can effectively improve passenger and enter
Outbound ticket checking efficiency and quality.
System of real name is carried out in current China railways passenger transport, and passenger station staff carries out ticket real name and looks into when passenger is entered the station
Test, by card reader of ID card reading identity card information, passenger ticket buying information is obtained using two-dimensional code scanning instrument scanning ticket, it is right
" ticket, card " unified examination is realized than both identification card numbers, and " people, card " is unanimously checked and then passes through viewer's artificial judgment identity card
Whether photo and current passenger meet.In view of enter the station artificial examination operating efficiency, work quality and continuation limitation, study people
Member has identity authentication characteristic using the facial characteristics of people, and research brings the facial characteristics of automatic identifier into system of real name ticket checking
In system, the passenger current face image that will be collected is compared with the facial image on its China second-generation identity card photo, from
And the system of real name railway ticketses ticket checking of ticket, card and people three's uniformity certification is realized, so as to improve system of real name ticket checking efficiency and matter
Amount.The testimony of a witness examination researcher mainly have:(1) railway research institute Zan stamens, Lv Xiaojun and Liu Weiping (2015);(2) Shanghai
The first group of Polytechnics grandson, Wang Xiaodong and Wang Bing etc. (2013);(3) railway research institute Xu Chun Jie, Shi Tianyun and Liu Shuoyan etc.
(2015).These research work realize that passenger's testimony of a witness of entering the station unanimously is checked automatically to a certain degree, implement technology path and implementation
There is significant difference in effect, need to continue deeper into research on validity and reliability.
Since 2010, electronic computation technology research institute of railway research institute successfully research and develop Railways Stations car passenger traffic information without
Line interactive system, and each road bureau's passenger train crew member is configured successively.Train terminal equipment mainly provides number of passengers notice
The functions such as single statistics, the inquiry of train seat information and ticket examination;Passenger Dept. terminal device mainly provide train density table inquiry,
The functions such as monitoring train mobile terminal device service condition.Railways Stations car passenger traffic wireless information interaction system is the letter that cooperates of car ground
Breath platform, specified train is reported and submitted by ground ticketing situation in time, and train crews can making with each seat of accurate perception
With situation, boarding section, including passenger's real name information, report the loss information and internet electronic ticket information.
Current Railways Stations car passenger traffic wireless information interaction system, by ticketing information transfer to train terminal, is station workshop information
Two-way interactive and technical support is provided in way ticket checking, but still need in way ticket checking and manually complete, be generally spaced 400km or 6h enters
Ticket checking of row, checks live load high, missing inspection and rechecks and disturb passenger's journey problem to fail preferably to be solved on way.
Prior art is not combined passage ticket information effectively with personal characteristics, not on way to passage ticket area
Between compared in real time with current interval, can only determine whether passenger interval beyond its correspondence by artificial examination.Train is on way
Manual ticket checking has the shortcomings that efficiency is low, repeated high, workload is big and repeat ticket checking and disturbs larger to passenger, when being limited to
Between, personnel and live load constraint, it is difficult to checked tickets between carrying out district by district realization comprehensively covering, cause reasonable passenger traffic income to face
Massive losses risk.
The content of the invention
The technical problems to be solved by the invention, are just to provide a kind of train based on recognition of face in way ticket checking method,
Train is improved in way ticket checking operating efficiency and accuracy.
The technical scheme that the present invention solves the technical problem use is that the train based on recognition of face is in way ticket checking side
Method, comprises the following steps:
A, acquisition train running interval information;
B, AT STATION ENTRANCE gather enter the station passenger's face-image, certificate information when entering pedestrian, card and ticket consistency check
And ticket information, passenger's facial characteristics storehouse is set up, carry out information matches and be uploaded to system-wide data center;
C, train-installed unit download the station and enter the station and take the people of this train of the same day, ticket and figure from system-wide data center
As match information;
D, train-installed camera obtain compartment realtime graphic and transmit to train-installed unit, and train-installed unit is carried out
Realtime graphic Face datection, according to facial characteristics identification correspondence passenger identity, obtain the interval by bus of passenger tickets regulation and with
Current interval is compared, if failing to find, correspondence Customer information or current interval are considered as beyond its ticket specified interval and do not possess
Current interval is ridden qualification;
E, the passenger's face-image that will not possess current interval qualification by bus are sent to the hand-held ticket checking terminal of attendant, train
Member carries out the face-to-face ticket checking verification of specific aim orientation and buys one's ticket after normal time according to display information on handheld terminal, and information of buying one's ticket after normal time is uploaded and is updated to
System-wide data center.
Specifically, in the interval way for train operation of the train passenger traffic two through the interval between stop.
Specifically, step C is specially:Train get to the station and from the station when, Automatic sieve is selected and entered the station simultaneously at the station
Take passenger's face image data, certificate information and ticket information of this train of the same day, directive sending to this car of train
Data center is carried, when being set out through stop in train way, data automatic screening and directional reception is carried out, in train operation way in batches
Secondary order receives the data from station in way.
Preferably, in step B, described information include passenger face video data, name, passport NO., by bus the date, multiply
Secondary by bus, coach number, get on the bus station and alighting stop.
Specifically, the step D is specially:The quantity and corresponding diagram of face in each compartment real time video image are detected respectively
As region;For Given Face region, the passenger's face characteristic according to collection of entering the station carries out recognition of face, it is determined that correspondence passenger's body
Part;If correspondence passenger cannot be found in passenger's facial characteristics storehouse, it is considered as hare, does not possess current interval qualification by bus;
If correspondence passenger can be found in passenger's facial characteristics storehouse, according to passenger identity find out the interval by bus of its ticket regulation and with
Current interval compares, if current interval rides interval, do not possess current interval qualification by bus depending on the passenger beyond regulation.
The beneficial effects of the invention are as follows based on train running information, passage ticket information and facial characteristics, entering pedestrian
Ticket information matches, classification directional transmissions, in way Face recognition and traffic coverage Auto-matching, realize train in way video intelligence
Energy ticket checking and time inspection object are recognized automatically.The technology can realize that train checks efficient, intelligent and precision on way, effectively
Avoid being rechecked in way missing inspection, significantly reduce service on buses or trains live load and recheck the interference that is caused to passenger, be train in way passenger traffic work
Make to provide advanced efficient the Literature Lessons.
Brief description of the drawings
Fig. 1 is train of the present invention based on recognition of face in way ticket checking method flow chart;
Fig. 2 is present system structure and information flow chart.
Specific embodiment
Below in conjunction with the accompanying drawings and specific embodiment, technical scheme is described in detail.
As shown in Figure 1 and Figure 2, train of the present invention based on recognition of face includes in way ticket checking method:
(1) train running information is obtained and treatment
Passenger train service chart is obtained from Railway traffic control system, or railway passenger row are obtained from 12306 Ticketing and Reservation Systems
Car stop over station information, phase interval according to the passenger traffic that train travelling process is divided into order by passenger train stop over station information
Adjacent two are divided into a passenger traffic interval through the running section between stop, are the minimum lists for working as time railer's journey the same day
Unit.
(2) passage ticket is obtained and treatment with personal characteristic information
Enter the station AT STATION and station data collection station is set at testimony of a witness ticket uniformity examination, passenger is entered the station into pedestrian, card, ticket
Passenger's frontal faces information is gathered when uniformity is checked, reading identity card part obtains passenger's identity, from the Ticketing and Reservation System of railway 12306
Obtain the passenger ticket buying information.Checking passenger holds ticket (or identity document) and its Ticketing information, by passenger's identity information, car
Ticket information and face-image are associated matching, used as a data record storage to station data center.Wherein passenger's ticket
Information include name of passenger, passport NO., by bus the date, take train number, station and alighting stop totally six key elements of getting on the bus.
(3) data orientation rolling transmission
The people of station data center, ticket and images match information are uploaded to region/system-wide data center, train reaches car
Stand and from the station when, Automatic sieve is selected and is entered the station at the station and take the people of this train of the same day, ticket and images match information,
Directive sending is stored respectively to this vehicle-mounted data center of train by coach number.Train sets out in way through stop
When, data automatic screening and directional reception are carried out, order receives the data from station in way in batches in train operation way.Together
The people of one station acquisition process, ticket and image match data are successively respectively sent to the different passenger trains at the stop over station.
(4) train is in way recognition of face
Camera is laid in railway car dispersion, different each passage real time video image of compartment, picture signal reality are gathered
When transmit to vehicle-mounted data center.Accuracy of identification and speed can be improved using the self adaptation face recognition algorithms of comparative maturity,
According to passenger's identity in face characteristic automatic identification difference compartment image.Most passengers are located at its passenger ticket during journey
Correspondence compartment, composition of personnel and attitude have short-term stability in compartment, are not grouped using discontinuous interval identification and compartment double
Identification efficiency can be improved to search strategy.
(5) automatic ticket checking and time inspection process identification
If foregoing recognition of face fails to find correspondence passenger information according to passenger's face characteristic at vehicle-mounted data center, no
Correspondence passenger's identity is can determine that, is belonged to and is travelled without a ticket, passenger's head portrait in video image need to be carried out to wait inspection mark, be set as waiting
Inspection object.If foregoing recognition of face can determine passenger's identity information, passenger's correspondence interval by bus is obtained from vehicle-mounted data center,
It is compared with the current traffic coverage of train, if current interval is located at the interval by bus interior of its ticket regulation, checking automatically should
Passenger is legal by bus;If the interval of riding that current interval is located at its ticket regulation is outer, the passenger examines object to wait, in video figure
Head portrait is carried out as in and waits inspection mark.
(6) precisely check and buy one's ticket after normal time
Train Conductors obtain compartment and wait inspection object images information by handheld terminal, carry out precisely orientation ticket checking.For
The passenger that needs are bought one's ticket after normal time, is bought one's ticket after normal time, and is gathered corresponding people, ticket and face feature information and is matched and stored to vehicle-mounted data
Center.
Train operation is to next through stop, and the passenger getting off car that arrives at a station is outbound, and the passenger of this train of seating that enter the station gets on the bus, and arranges
Car sets out operation, and traffic coverage then enters next interval.The current interval of automatic ticket checking system enters according to train running interval
Row updates, and based on current interval, repeating above-mentioned steps carries out interval ticket checking, until train operation station to terminal.
Various technologies and the software programming keyword being related in the present invention are described below:
Train running information treatment
For passenger train set data class a Train, Train=TrainId, Date, StationList,
SectionList, Remark }, TrainId is train number, and Date is train starting station sailing date, and StationList is
Train is closed in way through stop ordered set, and SectionList is train running interval order set, and Remark is that train situation is standby
Note, TrainId and Date is joint major key.
StationList is made up of all station Station of train stop over, data class Station=StationId,
StationName, RouteOrder, TrainId, Remark }, wherein StationId is Station XXX, and StationName is
Station name, RouteOrder be train in current station operation stop over sequentially, TrainId is train number, Remark be through
Stop remarks (First is represented and originated station, and Last represents Zhongdao station).
SectionList is made up of train operation by interval Section, data class Section=SectionId,
SectionName, FrontStation, NextStation, TrainId, Remark }, wherein StationId is Station XXX,
SectionName is interval title, and FrontStation goes out tours start here for train running interval, and NextStation is train
Traffic coverage gets to the station, and TrainId is train number, and Remark is that (First represents first passenger traffic to traffic coverage remarks
Interval, Last represents that last passenger traffic is interval).
Train StationList information can be obtained from route map of train or 12306 Ticketing and Reservation Systems, SectionList numbers
According to then needing to be processed according to StationList data.The N number of station of train operation stop over, the two neighboring stop over of order
Station constitutes a traffic coverage, then running can be divided into N-1 passenger traffic interval, and passenger traffic interval is the base of passenger's journey
This component units is also follow-up automatic ticket checking and waits the minimum unit that inspection object is identified automatically.Such as train order stop over A, B, C, D
With five stations of E, then running can be divided into tetra- passenger traffic intervals of A-B, B-C, C-D and D-E, passenger's journey is by continuous visitor
The interval composition of fortune, follow-up automatic ticket checking and time inspection object identity are independently carried out successively in four passenger traffic intervals.
People, ticket and image information associate matching
It is exactly to carry out passenger's identity information, ticket information and facial image information that people, ticket and image information associate matching
Correspondence with associate, be follow-up automatic ticket checking and wait inspection object automatically identify prepare.For people, ticket and image related information build one
Individual data class LinkInfo=InfoId, Credentials, PassengarId, TicketInfo, PictureId,
TrainId, Date, Remark }, wherein InfoId is numbered for message identification, and Credentials is passenger's type of credential,
PassengarId is passenger's passport NO., and TrainId is numbered for train number, and Date is train date of origination.PictureId
For passenger's frontal face images are numbered, image is stored with PictureId names.LinkInfoList is the reality of LinkInfo
Example set, is used to store the people for receiving at vehicle-mounted data center, ticket and images match information.
TicketInfo is the ticket information class example for recording passenger's ticket information, TicketInfo=
{TrainId,DateTime,DepartueStation,ArrivalStation,CoachId,SeatId,SeatType,
Remark }, wherein TrainId is train number, and DateTime is riding time, and DepartueStation goes out to dispatch a car for passenger
Stand, ArrivalStation gets to the station for passenger, CoachId is ticket coach number, SeatId is numbered for seat, SeatType
It is the class of service, Remark is ticket information remarks.DepartueStation and ArrivalStation are respectively
Station examples in StationList, the wherein RouteOrder of DepartueStation are less than ArrivalStation
RouteOrder.
Classification orientation rolling transmission
Classification orientation rolling transmission is a kind of information exchange mechanism, wherein classification refers to transferring content packet dividing, orientation
Refer to that information transfer target has explicitly for property, rolling refers to information transfer opportunity characteristic.One usual stop in station is multiple
Train number passenger train, passenger may take any passenger train at this station of stop over stop over according to purchased ticket after entering the station, classification is passed
Defeated refers to that the people of same station passenger input, ticket and images match information are divided into difference according to train number TrainId
Classification, the people of the station passenger input of M passenger train of stop over, ticket and image related information are divided into M classification.
Directional transmissions refer to data center classifies situation according to the train at foregoing station, will take the passenger of passenger train Q
People, ticket and images match information are pointedly sent to correspondence passenger train Q vehicle-mounted datas center, and passenger's row are taken into the station
The Customer information of car P is not sent then to train Q.Passenger gets to the station before train sets out and is waited into platform, and train sets out
Shi Jinzhan takes this passenger people of train, ticket and image information collecting and matching has been completed, and now data center will be from this
Stand into people, ticket and the images match information classification for taking this train out, directive sending gives vehicle-mounted data center.Passenger arranges
Car order reaches stop over all stations, and through stop in the process of running more rearward, train reaches the station and the departure time is more late,
The information directional transmissions time is more late.The information classification directional transmissions time is constantly to roll forward in train operation whole process,
To realize the integrality and promptness of people, ticket and image information sequential delivery and renewal.
Discontinuous discrete recognition strategy
Passenger is difficult to keep same posture during journey, and face front can not possibly always just to compartment camera, i.e.,
Although compartment lays camera and can obtain each compartment realtime graphic, the front of all passengers in compartment can not be simultaneously obtained
Face image.Video image is generally 25 frames/s, and posture will not occur significant changes in a short time during passenger's journey, right
Every two field picture of compartment real-time video carries out Face datection and recognition of face and can dramatically increase system loading and time, for people
Face accuracy of identification lifting effect is very little.
The present invention uses discontinuous discrete recognition strategy, in train travelling process, for the same source video sequence in compartment not
Continuous human face detection and recognition is carried out, but certain interval of time (interval time can be set, such as 1min, 2min or 5min) is obtained
The two field picture of video one is taken, Face datection and the recognition of face of time discrete is carried out.The passenger's identity for detecting each time and recognizing is equal
Used as the basis of follow-up automatic ticket checking, identical interval same compartment different time detection and the passenger for recognizing may be poor
Different, the interval passenger's identity union for recognizing every time interval muster of passengers as compartment, carries out automatic ticket checking successively and time inspection is right
As mark.
Compartment is not grouped bidirectional research strategy
It is its purchase ticket correspondence position that most passengers take train seats, and only a small number of passengers can be in journey process
In exchanged seats with other passengers or go to other compartments to walk up and down, therefore most passengers (including ticket for standing room passenger) exist
Its ticket correspondence compartment is located at during journey.That CoachId in TicketInfo is received to vehicle-mounted data center,
Ticket associates match information LinkInfo with image and is grouped.It is assumed that railway car quantity is C, then for the train sets C
Coach={ CoachId, TrainId, SubLinkInfoList, Remark }, wherein CoachId are numbered for compartment, TrainId
It is train number, SubLinkInfoList is CoachId and current compartment CoachId identicals in LinkInfoList
The set of LinkInfo, Remark is car information remarks.
Each compartment of recognition of face is carried out respectively, will gather the people of the facial image that arrives of video detection and vehicle-mounted data center
Face storehouse is contrasted, with this determination passenger's identity.If current compartment numbering is c, recognition of face car first where video image
The SubLinkInfoList of railway carriage or compartment c correspondences Coach carries out comparing in constituting face database.If can be constituted in current compartment
Correspondence face-image passenger is found in face database, then can be determined passenger's identity and be carried out subsequent step;If current compartment correspondence
Face database can not find facial image and correspond to passenger, then the ticket for being considered as the passenger's purchase detected in video is not to correspond to and regard
Frequency source compartment.Fail to recognize passenger's identity in current compartment, then order successively with c-1, c+1, c-2, c+2 ... compartment pair
The face database answered carries out match cognization, and passenger's identity is determined until finding passenger image in face database, or search first segment and
Final section compartment.The other bidirectional research strategy in compartment is used according to passenger's journey characteristic distributions, the people of face recognition process is reduced
Face storehouse scale, can significantly improve recognition of face efficiency.
Automatic ticket checking and time inspection object are identified automatically
Passenger's identity with recognition of face is that foundation carries out automatic ticket checking and time inspection object is identified automatically.If in vehicle-mounted data
Heart face database fails to find current passenger's corresponding informance, illustrates that passenger's identity information is not gathered in advance and not can determine that passenger's identity,
Belong to the type that travels without a ticket, correspondence passenger image in video image is carried out waiting inspection mark.If foregoing recognition of face can determine
Passenger's identity information, obtains the interval by bus that passenger is entered the station with outbound determination, with the current Operational Zone of train from vehicle-mounted data center
Between be compared.As current interval is located in the interval by bus of passenger's ticket regulation, then verify that the passenger is legal by bus automatically;Such as
The interval of riding that current interval is located at its ticket regulation is outer, then the passenger examines object to wait, to corresponding passenger in video image
Head portrait carries out waiting inspection mark.
Interval matching by bus is to be carried out with the face database image at vehicle-mounted data center according to the passenger's face-image for detecting
Compare, with this determination passenger's identity information PassengarId and correspondence ticket information TicketInfo.Ticket information
TicketInfo goes out tours start here DepartueStation and the ArrivalStation that gets to the station comprising passenger, is defined with this
Passenger buys ticket corresponding legal block information by bus in train travelling process.It is intelligent to be checked in train operation on way
Train is located at specific Section when being carried out in journey, can know two of current interval linking station FrontStation and
NextStation, NextStation and the passenger ArrivalStation that gets to the station are compared.In train operation way
Through stop set StationList the insides, if the corresponding RouteOrder of NextStation are less than or equal to
The corresponding RouteOrder of ArrivalStation, then current passenger is by automatic ticket checking;If NextStation is corresponding
RouteOrder is more than the corresponding RouteOrder of ArrivalStation, then current passenger is waited not by automatic ticket checking
Inspection object identity.
Claims (5)
1. the train based on recognition of face is in way ticket checking method, it is characterised in that comprise the following steps:
A, acquisition train running interval information;
B, AT STATION ENTRANCE gather enter the station passenger's face-image, certificate information and car when entering pedestrian, card and ticket consistency check
Ticket information, sets up passenger's facial characteristics storehouse, carries out information matches and is uploaded to system-wide data center;
C, train-installed unit download the station and enter the station and take the people of this train of the same day, ticket and image from system-wide data center
With information;
D, train-installed camera obtain compartment realtime graphic and transmit to train-installed unit, and train-installed unit is carried out in real time
Image Face datection, according to facial characteristics identification correspondence passenger identity, obtain the interval by bus of passenger tickets regulation and with it is current
Interval is compared, if failing to find, correspondence Customer information or current interval are considered as not beyond its ticket specified interval and possess currently
Interval qualification by bus;
E, the passenger's face-image that will not possess current interval qualification by bus are sent to the hand-held ticket checking terminal of attendant, attendant's root
The face-to-face ticket checking verification of specific aim orientation being carried out according to display information on handheld terminal and being bought one's ticket after normal time, information of buying one's ticket after normal time is uploaded and is updated to system-wide
Data center.
2. the train based on recognition of face according to claim 1 is in way ticket checking method, it is characterised in that the train visitor
In the interval way for train operation of fortune two through the interval between stop.
3. the train based on recognition of face according to claim 1 is in way ticket checking method, it is characterised in that step C is specific
For:Train get to the station and from the station when, Automatic sieve is selected and is entered the station at the station and take the passenger face of this train of the same day
Portion's view data, certificate information and ticket information, directive sending to this vehicle-mounted data center of train, through parking in train way
When station is set out, data automatic screening and directional reception are carried out, order receives from station in way in batches in train operation way
Data.
4. the train based on recognition of face according to claim 1 is in way ticket checking method, it is characterised in that in step B, institute
State information including passenger face video data, name, passport NO., by bus the date, take train number, coach number, get on the bus station and
Alighting stop.
5. the train based on recognition of face according to claim 1 is in way ticket checking method, it is characterised in that the step D
Specially:Quantity and the correspondence image region of face in each compartment real time video image are detected respectively;For Given Face region,
Passenger's face characteristic according to collection of entering the station carries out recognition of face, it is determined that correspondence passenger's identity;If passenger's facial characteristics storehouse without
Method finds correspondence passenger, then be considered as hare, does not possess current interval qualification by bus;If can be looked in passenger's facial characteristics storehouse
To correspondence passenger, then the interval by bus of its ticket regulation is found out according to passenger identity and compared with current interval, if current interval
Ride interval, then do not possess current interval qualification by bus depending on the passenger beyond regulation.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710003610.0A CN106709470A (en) | 2017-01-04 | 2017-01-04 | Human face identification-based train on-way ticket check method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710003610.0A CN106709470A (en) | 2017-01-04 | 2017-01-04 | Human face identification-based train on-way ticket check method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106709470A true CN106709470A (en) | 2017-05-24 |
Family
ID=58905802
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710003610.0A Pending CN106709470A (en) | 2017-01-04 | 2017-01-04 | Human face identification-based train on-way ticket check method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106709470A (en) |
Cited By (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107742323A (en) * | 2017-11-30 | 2018-02-27 | 成都长宇老司机网络科技有限公司 | A kind of nothing based on finger print identifying snaps past brake system |
CN107945288A (en) * | 2017-11-24 | 2018-04-20 | 大连奇辉计算机网络有限公司 | Ticket identifies ticket checking system |
CN108038948A (en) * | 2017-12-26 | 2018-05-15 | 杭州数梦工场科技有限公司 | Verification method and device, the computer-readable recording medium of passenger identity |
CN108369645A (en) * | 2018-02-08 | 2018-08-03 | 深圳前海达闼云端智能科技有限公司 | Taxi operation monitoring method, device, storage medium and system |
CN108805071A (en) * | 2018-06-06 | 2018-11-13 | 北京京东金融科技控股有限公司 | Identity verification method and device, electronic equipment, storage medium |
CN109214361A (en) * | 2018-10-18 | 2019-01-15 | 康明飞(北京)科技有限公司 | A kind of face identification method and device and ticket verification method and device |
CN109204007A (en) * | 2018-08-29 | 2019-01-15 | 江西理工大学 | A kind of unpiloted suspension type magnetic suspension train and its control method |
CN109685918A (en) * | 2018-12-25 | 2019-04-26 | 深圳三人行在线科技有限公司 | A kind of living things feature recognition ticket checking system and method |
CN109889537A (en) * | 2019-03-20 | 2019-06-14 | 曹婷 | Automated network communication means and method |
WO2019152984A1 (en) * | 2018-02-05 | 2019-08-08 | Cubic Corporation | Secondary check out system for transit media |
CN110136274A (en) * | 2019-04-29 | 2019-08-16 | 深圳众维轨道交通科技发展有限公司 | It is a kind of to sell ticket checking method based on recognition of face+AI analysis |
CN110164073A (en) * | 2019-04-18 | 2019-08-23 | 郑州信大先进技术研究院 | A kind of train safety defense monitoring system and train security-protecting and monitoring method |
CN110348301A (en) * | 2019-06-04 | 2019-10-18 | 平安科技(深圳)有限公司 | Implementation method of checking tickets, device, computer equipment and storage medium based on video |
CN110766809A (en) * | 2018-07-25 | 2020-02-07 | 比亚迪股份有限公司 | Vehicle, vehicle-mounted ticket checking system and ticket checking method of vehicle-mounted ticket checking system |
CN110956705A (en) * | 2019-12-11 | 2020-04-03 | 成都智元汇信息技术股份有限公司 | Ticket selling and checking method based on face recognition |
CN111027355A (en) * | 2019-03-20 | 2020-04-17 | 曹婷 | Automatic network communication mechanism |
CN111597866A (en) * | 2019-09-04 | 2020-08-28 | 张冬梅 | Wireless data field transmitting and receiving system, method and storage medium |
CN111861052A (en) * | 2019-04-26 | 2020-10-30 | 财付通支付科技有限公司 | Travel order matching method, device, equipment and storage medium |
CN113747122A (en) * | 2021-08-17 | 2021-12-03 | 中国铁道科学研究院集团有限公司电子计算技术研究所 | Train ticket checking method and equipment |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101419725A (en) * | 2007-10-22 | 2009-04-29 | 环隆电气股份有限公司 | Ticket checking method for railway transport |
CN103593878A (en) * | 2013-11-29 | 2014-02-19 | 程勇 | Method for implementing bullet train smoking investigation |
CN104766372A (en) * | 2015-04-29 | 2015-07-08 | 深圳市保千里电子有限公司 | Fare evasion judging system using face recognition and using method thereof |
US20160171786A1 (en) * | 2013-09-06 | 2016-06-16 | Hitachi, Ltd. | Fare refund system, and method for same |
-
2017
- 2017-01-04 CN CN201710003610.0A patent/CN106709470A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101419725A (en) * | 2007-10-22 | 2009-04-29 | 环隆电气股份有限公司 | Ticket checking method for railway transport |
US20160171786A1 (en) * | 2013-09-06 | 2016-06-16 | Hitachi, Ltd. | Fare refund system, and method for same |
CN103593878A (en) * | 2013-11-29 | 2014-02-19 | 程勇 | Method for implementing bullet train smoking investigation |
CN104766372A (en) * | 2015-04-29 | 2015-07-08 | 深圳市保千里电子有限公司 | Fare evasion judging system using face recognition and using method thereof |
Cited By (26)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107945288A (en) * | 2017-11-24 | 2018-04-20 | 大连奇辉计算机网络有限公司 | Ticket identifies ticket checking system |
CN107742323A (en) * | 2017-11-30 | 2018-02-27 | 成都长宇老司机网络科技有限公司 | A kind of nothing based on finger print identifying snaps past brake system |
CN108038948A (en) * | 2017-12-26 | 2018-05-15 | 杭州数梦工场科技有限公司 | Verification method and device, the computer-readable recording medium of passenger identity |
WO2019152984A1 (en) * | 2018-02-05 | 2019-08-08 | Cubic Corporation | Secondary check out system for transit media |
GB2584252A (en) * | 2018-02-05 | 2020-11-25 | Cubic Corp | Secondary check out system for transit media |
US10424037B2 (en) | 2018-02-05 | 2019-09-24 | Cubic Corporation | Secondary card tap system |
CN108369645A (en) * | 2018-02-08 | 2018-08-03 | 深圳前海达闼云端智能科技有限公司 | Taxi operation monitoring method, device, storage medium and system |
CN108805071A (en) * | 2018-06-06 | 2018-11-13 | 北京京东金融科技控股有限公司 | Identity verification method and device, electronic equipment, storage medium |
CN110766809A (en) * | 2018-07-25 | 2020-02-07 | 比亚迪股份有限公司 | Vehicle, vehicle-mounted ticket checking system and ticket checking method of vehicle-mounted ticket checking system |
CN109204007A (en) * | 2018-08-29 | 2019-01-15 | 江西理工大学 | A kind of unpiloted suspension type magnetic suspension train and its control method |
CN109204007B (en) * | 2018-08-29 | 2020-04-28 | 江西理工大学 | Unmanned suspension type magnetic suspension train and control method thereof |
CN109214361A (en) * | 2018-10-18 | 2019-01-15 | 康明飞(北京)科技有限公司 | A kind of face identification method and device and ticket verification method and device |
CN109685918A (en) * | 2018-12-25 | 2019-04-26 | 深圳三人行在线科技有限公司 | A kind of living things feature recognition ticket checking system and method |
CN109889537B (en) * | 2019-03-20 | 2020-06-23 | 北方工业大学 | Automatic network communication mechanism and method |
CN111027355A (en) * | 2019-03-20 | 2020-04-17 | 曹婷 | Automatic network communication mechanism |
CN109889537A (en) * | 2019-03-20 | 2019-06-14 | 曹婷 | Automated network communication means and method |
CN111027355B (en) * | 2019-03-20 | 2021-03-16 | 深圳市成果转化中心有限公司 | Automatic network communication mechanism |
CN110164073A (en) * | 2019-04-18 | 2019-08-23 | 郑州信大先进技术研究院 | A kind of train safety defense monitoring system and train security-protecting and monitoring method |
CN110164073B (en) * | 2019-04-18 | 2021-05-11 | 郑州信大先进技术研究院 | Train security monitoring system and train security monitoring method |
CN111861052A (en) * | 2019-04-26 | 2020-10-30 | 财付通支付科技有限公司 | Travel order matching method, device, equipment and storage medium |
CN111861052B (en) * | 2019-04-26 | 2024-03-15 | 财付通支付科技有限公司 | Travel order matching method, device, equipment and storage medium |
CN110136274A (en) * | 2019-04-29 | 2019-08-16 | 深圳众维轨道交通科技发展有限公司 | It is a kind of to sell ticket checking method based on recognition of face+AI analysis |
CN110348301A (en) * | 2019-06-04 | 2019-10-18 | 平安科技(深圳)有限公司 | Implementation method of checking tickets, device, computer equipment and storage medium based on video |
CN111597866A (en) * | 2019-09-04 | 2020-08-28 | 张冬梅 | Wireless data field transmitting and receiving system, method and storage medium |
CN110956705A (en) * | 2019-12-11 | 2020-04-03 | 成都智元汇信息技术股份有限公司 | Ticket selling and checking method based on face recognition |
CN113747122A (en) * | 2021-08-17 | 2021-12-03 | 中国铁道科学研究院集团有限公司电子计算技术研究所 | Train ticket checking method and equipment |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106709470A (en) | Human face identification-based train on-way ticket check method | |
CN101540066B (en) | Ticket treatment system based on second-generation ID card and method thereof | |
CN105976435B (en) | A kind of ticket booking of station electronic ticket, automatic ticket checking method and system | |
US20100076796A1 (en) | System and Method for Baggage Issue | |
CN106548263A (en) | A kind of intelligent and safe inspection system and method | |
CN109697405A (en) | The system for managing passenger's available space and passenger-seat for passenger-traffic system | |
CN105427056A (en) | Passenger ticket booking and checking information management system | |
CN107274702A (en) | A kind of intelligent traffic management system and its method of work | |
CN108090440A (en) | A kind of authentication system towards railway transport of passengers | |
CN102800131A (en) | Ticket checking system for real-name train ticket system | |
JP7114407B2 (en) | Matching system | |
CN101324965A (en) | Railway automatic ticket selling and checking system | |
CN111510496B (en) | Traffic guidance system and method based on block chain information sharing | |
CN112001514A (en) | Intelligent passenger service system | |
CN109471389A (en) | Railway transportation monitoring system based on big data | |
CN111882263A (en) | Luggage co-transport method and luggage co-transport system | |
CN114118470B (en) | Intelligent control method and system for production operation of full-automatic driving vehicle base | |
JP2011210125A (en) | Information processing unit, display control system, and method of controlling display and program | |
JP3819771B2 (en) | Electronic ticket inspection processing system and electronic ticket inspection processing method | |
CN110738768A (en) | method for identifying ticket of multiple rail transit standards based on human face | |
JP2003242532A (en) | Ticketing and ticket collecting method, displaying method for train information and car card advertising rate guiding method | |
CN113542364B (en) | Bus and network appointment linkage intelligent traffic system | |
CN107341855A (en) | One kind fully relies on the quick ticket-checked device of fingerprint intelligence out of the station | |
CN109215341A (en) | A kind of bus trip data creation method comprising information of getting off | |
CN104766474A (en) | Urban comprehensive transportation junction transfer passenger flow volume detecting method based on mobile phone terminals |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170524 |
|
RJ01 | Rejection of invention patent application after publication |