CN110738774A - face recognition rapid self-help boarding method and system - Google Patents
face recognition rapid self-help boarding method and system Download PDFInfo
- Publication number
- CN110738774A CN110738774A CN201911095202.8A CN201911095202A CN110738774A CN 110738774 A CN110738774 A CN 110738774A CN 201911095202 A CN201911095202 A CN 201911095202A CN 110738774 A CN110738774 A CN 110738774A
- Authority
- CN
- China
- Prior art keywords
- boarding
- passenger
- self
- face recognition
- help
- 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
Images
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
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
Landscapes
- Engineering & Computer Science (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Collating Specific Patterns (AREA)
- Time Recorders, Dirve Recorders, Access Control (AREA)
- Devices For Checking Fares Or Tickets At Control Points (AREA)
Abstract
The invention discloses face recognition rapid self-help boarding methods and systems, wherein face recognition rapid self-help boarding methods comprise that a passenger enters a boarding check area through a th passage , the passenger is prepared to pass through a second passage , face recognition front-end equipment grabs a passenger field face picture, facial features are extracted from the passenger field face picture, compared source pictures are selected from a database, if the comparison result is , the passenger starts boarding at a corresponding gate, if the comparison result is not , the passenger self-help verifies a boarding check, if the passenger self-help verifies the boarding check validity, the passenger starts boarding at the corresponding gate, if the passenger self-help verifies the boarding check validity, field workers manually verify the boarding check, if the boarding check is valid, the passenger starts boarding at the corresponding gate, and if the boarding check is invalid, the boarding check is refused, and face recognition rapid self-help boarding systems comprise the face recognition front-end equipment, a face recognition boarding module and a self-help boarding gate.
Description
Technical Field
The invention relates to the technical field of civil aviation verification, in particular to a rapid self-service boarding method and system based on face recognition.
Background
The tradition uses the boarding check to check up and boards, and the passenger need queue up and carry out manual verification one by one, and the check-up efficiency is lower, and passenger's use experience is relatively poor.
In order to implement the work of self-help airport passenger boarding "paperless" construction, improve passenger boarding efficiency and improve airport informatization degree, quick self-help boarding methods and systems with rapidness, high efficiency and good use experience are increasingly needed.
Disclosure of Invention
Based on this, the invention aims to provide face recognition fast self-help boarding methods and systems.
The invention relates to a face recognition rapid self-help boarding method, which comprises the following steps:
the passenger enters a boarding check area through a channel of ;
the passenger prepares to pass through a second passage , wherein face recognition front-end equipment captures a passenger field face picture, the face characteristics are extracted from the passenger field face picture, compared source pictures are selected from a database for comparison, if the comparison result is , the passenger starts boarding at a corresponding gate, and if the comparison result is not , the passenger self-service verifies the boarding card;
if the passenger self-service verifies that the boarding check is valid, the passenger starts boarding at the corresponding gate;
if the passenger self-service verifies that the boarding pass is invalid, the on-site worker manually verifies the validity of the boarding pass: if the boarding check is valid, the passenger starts boarding at the corresponding gate, and if the boarding check is invalid, the passenger refuses to board.
In , the face recognition front-end device captures a passenger live face picture, including capturing the passenger live face picture from a video stream acquired by the face recognition front-end device.
In , the database comprises a picture object library;
the method for extracting the face features from the passenger live face photos and selecting the compared source photos in the database for comparison comprises the following steps: extracting face features from the passenger scene face photos, selecting the compared source photos in the image target library in the database for comparison, setting a comparison similarity threshold value and a returned result quantity, and returning the comparison result after the similarity value reaches the threshold value.
In , if the comparison is not , the passenger self-service verifies the boarding pass, which includes prompting the passenger by voice if the comparison is not , and self-service verifying the boarding pass.
In , the databases include a boarding basic information repository, a boarding dynamic information repository, an airline dynamic repository, and a traveler information repository.
In , the boarding base information library includes a boarding code, a boarding name, and a gate number.
In , the boarding dynamic information base originates from a flight information platform, and the boarding dynamic information base includes a boarding number, a flight only number, a start use time, and an end use time.
In , the flight dynamic library is derived from a flight information platform, the flight dynamic library including a flight number, a flight date, an expected departure time, and an actual departure time.
In , the passenger information base is derived from a security check information system, and includes a passenger name, a flight number, a departure place, a boarding number and a flight date, wherein the flight number and the flight date are associated with the flight number and the flight date of the flight dynamic information table, and a gate corresponding to the passenger when boarding is determined according to the flight number and the flight date.
The invention further provides face recognition rapid self-help boarding system, which comprises:
the face recognition front-end equipment is used for capturing the face photos of the passengers on site;
the face recognition boarding module is connected with a flight information service platform and a security check information system of an airport and used for extracting face features from a passenger field face picture and selecting a compared source picture in a database for comparison, if the comparison result is , the passenger starts boarding at a corresponding gate, and if the comparison result is not , the passenger self-verifies the boarding check;
the self-help boarding gate is used for self-help verification of the boarding check of the passenger, and if the self-help verification of the boarding check of the passenger is effective, the passenger starts boarding at the corresponding gate;
if the passenger self-service verifies that the boarding pass is invalid, the on-site worker manually verifies the validity of the boarding pass: if the boarding check is valid, the passenger starts boarding at the corresponding gate, and if the boarding check is invalid, the passenger refuses to board.
Compared with the prior art, the face recognition quick self-service boarding method and the system are based on the security check information data, the flight dynamic data, the face recognition technology and the self-service boarding system, a face recognition quick self-service boarding function is added to the traditional self-service boarding system which uses the boarding check, and the self-service boarding efficiency and the user experience are improved.
For a better understanding and practice, the invention is described in detail below with reference to the accompanying drawings.
Drawings
Fig. 1 is a block diagram of an exemplary flow of a face recognition express self-service boarding method of the present invention.
Detailed Description
Rather, they are merely examples of methods that correspond to of the aspects of the present disclosure as detailed in the appended claims.
As used in this disclosure and the appended claims, the singular forms "," "said," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
Referring to fig. 1, fig. 1 is a block diagram illustrating an exemplary flow of a face recognition express self-service boarding method according to the present invention.
The invention relates to a face recognition rapid self-help boarding method, which comprises the following steps:
in step 101, the passenger enters the boarding verification area through a channel of .
In particular, passengers are queued and may enter the check-in boarding zone through lane , preferably using existing automated sensing equipment, at lane .
102, the passenger prepares to capture a passenger scene face picture through a second pass , namely the face recognition front-end device, extracts face features from the passenger scene face picture, selects a compared source picture in a database for comparison, starts boarding at a corresponding gate if the comparison is , and verifies the boarding check by self if the comparison is not .
103, if the boarding check is verified to be valid by the passenger in a self-service mode, the passenger starts boarding at the corresponding gate;
if the passenger self-service verifies that the boarding pass is invalid, the on-site worker manually verifies the validity of the boarding pass; if the boarding check is valid, the passenger starts boarding at the corresponding gate, and if the boarding check is invalid, the passenger refuses to board.
In the step 102, the capturing of the passenger scene face picture by the face recognition front-end device includes: and capturing the passenger live face picture from the video stream acquired by the face recognition front-end equipment.
The face recognition front-end equipment can be an industrial camera, a camera and the like in the prior art.
In the step 102, the database includes a picture target database, a boarding basic information database, a boarding dynamic information database, an airline flight dynamic database, and a passenger information database.
Preferably, the image target library is connected with the flight information platform and the security check information system, so that a large certificate photo of the passenger is obtained in real time, and the large certificate photo is used as a compared source photo.
The image target library can realize the functions of creating, modifying, inquiring, emptying, deleting, leading in and leading out, quickly warehousing and inquiring the face image, deleting the face image in the target library, quickly warehousing, deleting and inquiring the features of the face image and the like.
The method for extracting the face features from the passenger live face photos and selecting the compared source photos in the database for comparison comprises the following steps: extracting face features from the passenger scene face photos, selecting the compared source photos in the image target library in the database for comparison, setting a comparison similarity threshold value and a returned result quantity, and returning the comparison result after the similarity value reaches the threshold value. The user can directly derive the comparison result to be stored locally, including the source photo and the comparison result picture.
The technology adopts the latest positioning algorithm based on cascade regression, combines a five sense organs calibration method based on deep learning, integrates a plurality of standard data sets, ensures that the face detection has lower error rate and better adaptability, and ensures the accuracy of feature extraction and comparison.
In , the boarding basic information base includes a boarding code, a boarding name, and a gate number, and is mainly used for managing the correspondence between a boarding and a gate, controlling a boarding and a gate, and requiring static configuration.
In , the boarding dynamic information base is derived from an airline flight information platform, the boarding dynamic information base comprises a boarding number, a flight only number, a start use time and an end use time, data are updated in real time, a boarding number of the boarding 3526 dynamic information base is associated with a boarding code in a boarding basic information base, and a gate use time corresponding to a boarding is determined according to the boarding number.
In , the flight dynamic library is derived from a flight information platform, the flight dynamic library includes a flight number, a flight date, a predicted departure time and an actual departure time, data is updated in real time, the flight dynamic library is used for recording dynamic information of a flight and change information of the flight, the flight number of the flight is associated with a flight unique number in a boarding dynamic information library, and a gate corresponding to the flight boarding time is determined according to the flight unique number.
In , the passenger information base is derived from a security check information system, and includes a passenger name, a flight number, a departure place, a boarding number, and a flight date, and is used to record basic information of a passenger, wherein the flight number and the flight date are associated with the flight number and the flight date of the flight dynamic information base, and a corresponding gate when the passenger boards is determined according to the flight number and the flight date.
In the step 102, if the comparison is not , the passenger self-service verification of the boarding pass comprises that if the comparison is not , the passenger is prompted by voice, and the passenger self-service verification of the boarding pass is carried out.
The invention further provides a face recognition rapid self-help boarding system, which comprises face recognition front-end equipment, a face recognition boarding module and a self-help boarding gate.
And the face recognition front-end equipment is used for capturing the face picture of the passenger on site.
The face recognition boarding module is connected with a flight information service platform and a security check information system of an airport and used for extracting face features from a passenger field face picture, selecting a compared source picture in a database for comparison, if the comparison result is , the passenger starts boarding at a corresponding gate, and if the comparison result is not , the passenger self-service verifies the boarding check.
The face recognition boarding module designs a boarding basic information base, a boarding dynamic information base, a flight dynamic base and a passenger information base by combining with related data standard specifications, and simultaneously completes the work of processing, warehousing and software integration of the existing achievement data.
Preferably, the face recognition boarding module acquires passenger face data and passenger data subjected to security check from the flight information service platform and the security check information system, and the passenger face data can be photographing data when a passenger passes the security check.
The face recognition boarding module acquires flight dynamic and flight change information data from a flight information service platform system, confirms flights at a boarding gate, receives flight passenger data of a designated boarding gate, and synchronously updates the information of passengers after the flight information is changed.
The face recognition boarding module can add a face recognition self-help boarding function to the original self-help boarding system, and a passenger uses the face recognition boarding module to board, only needs face swiping verification and no longer needs to scan a boarding card; in the boarding process of the passenger, the face recognition front-end equipment collects the facial features of the passenger, and after the identity of the passenger is determined through the face features, the passenger information is directly sent to the face recognition boarding module for verification.
The self-help boarding gate is used for self-help verification of the boarding check for the passenger, and if the self-help verification of the boarding check for the passenger is effective, the passenger starts boarding at the corresponding gate;
if the passenger self-service verifies that the boarding pass is invalid, the on-site worker manually verifies the validity of the boarding pass: if the boarding check is valid, the passenger starts boarding at the corresponding gate, and if the boarding check is invalid, the passenger refuses to board.
Compared with the prior art, the face recognition quick self-service boarding method and the system are based on the security check information data, the flight dynamic data, the face recognition technology and the self-service boarding system, a face recognition quick self-service boarding function is added to the traditional self-service boarding system which uses the boarding check, and the self-service boarding efficiency and the user experience are improved.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (10)
1, face recognition rapid self-help boarding method, characterized by comprising:
the passenger enters a boarding check area through a channel of ;
the passenger prepares to pass through a second passage , wherein face recognition front-end equipment captures a passenger field face picture, the face characteristics are extracted from the passenger field face picture, compared source pictures are selected from a database for comparison, if the comparison result is , the passenger starts boarding at a corresponding gate, and if the comparison result is not , the passenger self-service verifies the boarding card;
if the passenger self-service verifies that the boarding check is valid, the passenger starts boarding at the corresponding gate;
if the passenger self-service verifies that the boarding pass is invalid, the on-site worker manually verifies the validity of the boarding pass: if the boarding check is valid, the passenger starts boarding at the corresponding gate, and if the boarding check is invalid, the passenger refuses to board.
2. The face recognition rapid self-help boarding method of claim 1, wherein the face recognition front-end device captures a face picture of a passenger on site, and comprises the following steps: and capturing the passenger live face picture from the video stream acquired by the face recognition front-end equipment.
3. The face recognition rapid self-help boarding method according to claim 2, wherein the database comprises a picture target library;
the method for extracting the face features from the passenger live face photos and selecting the compared source photos in the database for comparison comprises the following steps: extracting face features from the passenger scene face photos, selecting the compared source photos in the image target library in the database for comparison, setting a comparison similarity threshold value and a returned result quantity, and returning the comparison result after the similarity value reaches the threshold value.
4. The face recognition rapid self-help boarding method of claim 1, wherein if the comparison is not , the self-help verification of the boarding pass by the passenger comprises that if the comparison is not , the passenger is prompted by voice, and the self-help verification of the boarding pass by the passenger is carried out.
5. The face recognition rapid self-help boarding method of claimed in any of claims 1-4, wherein the database comprises boarding basic information base, boarding dynamic information base, airline dynamic base and passenger information base.
6. The face recognition fast self-help boarding method of claim 5, wherein the boarding basic information base comprises a boarding code, a boarding name and a gate number.
7. The face recognition rapid self-help boarding method of claim 6, wherein the boarding dynamic information base is derived from a flight information platform, and the boarding dynamic information base comprises a boarding number, a flight only number, a start use time and an end use time.
8. The face recognition fast self-help boarding method of claim 7, wherein the flight dynamic library is derived from a flight information platform, and the flight dynamic library comprises flight number, flight date, predicted takeoff time and actual takeoff time.
9. The face recognition rapid self-service boarding method of claim 8, wherein the passenger information base is derived from a security check information system, the passenger information base comprises a passenger name, a flight number, a departure place, a boarding serial number and a flight date, the flight number and the flight date are associated with the flight number and the flight date of a flight dynamic information table, and a corresponding gate when a passenger boards is determined according to the flight number and the flight date.
10, kind of face identification quick self-service system of boarding, characterized by that, includes:
the face recognition front-end equipment is used for capturing the face photos of the passengers on site;
the face recognition boarding module is connected with a flight information service platform and a security check information system of an airport and used for extracting face features from a passenger field face picture and selecting a compared source picture in a database for comparison, if the comparison result is , the passenger starts boarding at a corresponding gate, and if the comparison result is not , the passenger self-verifies the boarding check;
the self-help boarding gate is used for self-help verification of the boarding check of the passenger, and if the self-help verification of the boarding check of the passenger is effective, the passenger starts boarding at the corresponding gate;
if the passenger self-service verifies that the boarding pass is invalid, the on-site worker manually verifies the validity of the boarding pass: if the boarding check is valid, the passenger starts boarding at the corresponding gate, and if the boarding check is invalid, the passenger refuses to board.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911095202.8A CN110738774A (en) | 2019-11-11 | 2019-11-11 | face recognition rapid self-help boarding method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911095202.8A CN110738774A (en) | 2019-11-11 | 2019-11-11 | face recognition rapid self-help boarding method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110738774A true CN110738774A (en) | 2020-01-31 |
Family
ID=69272628
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911095202.8A Pending CN110738774A (en) | 2019-11-11 | 2019-11-11 | face recognition rapid self-help boarding method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110738774A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007080149A (en) * | 2005-09-16 | 2007-03-29 | Toshiba Corp | Location management system and method |
| CN104036569A (en) * | 2014-06-13 | 2014-09-10 | 中国民航信息网络股份有限公司 | Face self-boarding system and method thereof |
| CN107909683A (en) * | 2017-10-25 | 2018-04-13 | 平安科技（深圳）有限公司 | Realize method, terminal device and the computer-readable recording medium of boarding |
| CN109446875A (en) * | 2018-02-24 | 2019-03-08 | 北京首都机场航空安保有限公司 | A kind of intelligence passenger's safe examination system |
-
2019
- 2019-11-11 CN CN201911095202.8A patent/CN110738774A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007080149A (en) * | 2005-09-16 | 2007-03-29 | Toshiba Corp | Location management system and method |
| CN104036569A (en) * | 2014-06-13 | 2014-09-10 | 中国民航信息网络股份有限公司 | Face self-boarding system and method thereof |
| CN107909683A (en) * | 2017-10-25 | 2018-04-13 | 平安科技（深圳）有限公司 | Realize method, terminal device and the computer-readable recording medium of boarding |
| CN109446875A (en) * | 2018-02-24 | 2019-03-08 | 北京首都机场航空安保有限公司 | A kind of intelligence passenger's safe examination system |
Non-Patent Citations (3)
| Title |
|---|
| 苑春林: "《高等院校物流管理与航空运输专业教材 航空运输管理》", 31 March 2018 * |
| 阚劲军: "一种人脸识别技术在机场离港登机系统中应用", 《中国科技信息》 * |
| 齐力: "《公共安全大数据技术与应用》", 31 December 2017 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107170068B (en) | Movable attendance checking method based on scene and image recognition | |
| CN106710007B (en) | A kind of quick ticket checking ticket checking method and its system based on real name ticket checking | |
| CN110073407B (en) | Face image processing method and face image processing apparatus | |
| CN109671190B (en) | Multi-channel gate management method and system based on face recognition | |
| CN108038948B (en) | Passenger identity verification method and device and computer readable storage medium | |
| JP2022040245A (en) | Face collation system, face collation device, face collation method, and recording medium | |
| US11087119B2 (en) | Facial detection and recognition for pedestrian traffic | |
| CN105654048A (en) | Multi-visual-angle face comparison method | |
| CN111160243A (en) | Passenger flow volume statistical method and related product | |
| CN106408950A (en) | Parking lot entrance and exit license plate recognition system and method | |
| JPWO2014155922A1 (en) | Object identification device, object identification method, and object identification program | |
| US20130343659A1 (en) | Electronic device, electronic device control method, and computer-readable recording medium having stored thereon electronic device control program | |
| KR101807979B1 (en) | Generating image compositions | |
| JP7240573B2 (en) | Construction support system and construction support device | |
| US10839200B2 (en) | Facial detection and recognition for pedestrian traffic | |
| CN106022330A (en) | Information collection method and terminal of identity document | |
| JP2022191276A (en) | Information processing system, information processing method, information processing program, and output device | |
| CN107742340B (en) | Automatic management method and device for scenic spot tour guide equipment | |
| JP2017151832A (en) | Wait time calculation system | |
| CN103985158A (en) | Integrated automatic gate and automatic verification method for train tickets | |
| US11062008B2 (en) | Biometric recognition method | |
| KR20200060942A (en) | Method for face classifying based on trajectory in continuously photographed image | |
| CN108446654A (en) | A kind of face recognition method based on image | |
| JP2010009389A (en) | Dictionary information registration device, dictionary information registration method, face authentication device, and access control system | |
| CN110738774A (en) | face recognition rapid self-help boarding method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200131 |
|
| RJ01 | Rejection of invention patent application after publication |