CN202230509U - Face identification data management system - Google Patents
Face identification data management system Download PDFInfo
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- CN202230509U CN202230509U CN2011202166253U CN201120216625U CN202230509U CN 202230509 U CN202230509 U CN 202230509U CN 2011202166253 U CN2011202166253 U CN 2011202166253U CN 201120216625 U CN201120216625 U CN 201120216625U CN 202230509 U CN202230509 U CN 202230509U
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Abstract
The present utility model discloses a face identification data management system. The system comprises a face registering and modeling module, a monitoring list module, an identity verifying module, an identity identifying module, a network interface module, and a data querying module for querying identity information of clients according to face searching and identifying results. Through a database management system, a network database and a local data system are effectively combined, one-to-one authentication and comparison and one-to-one searching and comparison are provided, an high-efficient and reliable intelligent identity identification data system design and management scheme is provided for face identification of a large-scale database, thus the face identification system is high in reliability, expansibility and efficiency, large-scale portrait comparison operation can be supported, comparison speed will not be influenced, and people can be effectively prevented from falsely using identity cards of others and engaging in illegal and criminal activities in hotels and other public service places.
Description
Technical field
The utility model relates to field of biological recognition, is specifically related to a kind of large-scale data management system of recognition of face.
Background technology
The hotel is the consumption place of integrated services such as lodging, food and drink, commercial affairs, amusement, and it is many to have a public domain, and area is big; The turnover personnel amount is many; The characteristics that frequency is big have caused certain degree of difficulty to safety precaution, and many offenders utilize the complex environment in hotel to wait for an opportunity to commit a crime; Breaking laws and commit crime happens occasionally, and has objectively formed great hidden trouble in public security.Adopt intelligent hotel safety-protection system to strengthen the management in hotel; Not only can play strong fright effect to the offender; And along with the minimizing of crime case, strengthen guest's confidence, help to improve the credit worthiness in hotel; For foundation for security is established in the going concern in hotel, this also is the key factor of decision hotel profit.CSAT is the comprehensive evaluation to environment, facility, attitude etc.; And wherein, whether hotel's safety is one of important indicator, Just because of this; The decision-maker of hotel more and more pays close attention to the safety precaution in hotel, more and more tends to adopt intelligentized security and guard technology and solution.
In recent years; The beginning of technology such as bio-identification is shown up prominently in hotel's intellectuality, and the Nine Zero hotel that is positioned at boston, u.s.a just takes the lead in having used the iris biological identification technology, after client comes into hall; As long as before the self-aided terminal machine, just can check in, and can free in and out the room.But owing to equipment and technical fee cost that iris recognition technology is required are high, the integrated service property industries such as hotel in China also are difficult to promote at present.In addition, the disclosed offender of China database of pursuing and capturing an escaped prisoner includes only right people's face and finger print data office at present, does not still contain into the iris database of scale.
In field of biological recognition; Face recognition technology (Face Recognition Technology) causes increasing industry member researchist's concern gradually; In recent years; Growing along with the develop rapidly of correlation technique and actual demand, recognition of face shows wide application prospect in a lot of fields.For example: face recognition technology can be used as supplementary means and is used for judicial domain, carries out authentication, criminal's identification etc.; Commercial many potential application are arranged also; Like the identification of bank card, security identification system, videophone, medical science, file administration, hotel management, video conference man-machine interactive system etc.; Not only can improve the efficient of society's operation; Also can strengthen the security of citizen's daily life greatly, so face recognition technology has become a research focus of present mode identification and artificial intelligence field.Compare with other biological feature identification systems such as fingerprint, iris, gene, sound, people's face is not reproducible because of having, collection is convenient, do not need one be shooted's characteristics such as cooperation well received.
Recent years, face recognition technology has been walked out laboratory stage gradually, is developed by the direction of prototype system towards the commercial applications system.FRVT (Face Recognition Vendor Test) shows the result that the facial image from actual life carries out large scale test: along with the increase of people's face data scale; Speed and discrimination descend thereupon; This to a great extent limit its range of application, the researchist considers to improve existing recognition of face from more wide aspect technical merit is ordered about in the potential great market demand and the request for utilization of high reliability.
At present, the producer that China is engaged in the biometrics identification technology product development reaches more than 200 families, and product advolutionization phenomenon is serious, and in overall about 2.5 hundred million yuan market, the product above 40% all is used for work attendance, the gate inhibition of low side.Also there is certain gap in domestic people's face intelligent identifying system at aspects such as man face image acquiring, recognition accuracy and speed and external cutting edge technology; Also not satisfactory aspect product stable in practical application; Show that mainly most of product is relatively more responsive to the variation of conditions such as illumination, age, expression, attitude, distance; When some condition generation slight change; Recognition effect can reduce greatly; Therefore and false alarm (False Alarm) phenomenon that produces lets a lot of businessmans and public security protection department that the security alerting system based on recognition of face is hung back search comparison speed does not reach real-time treatment requirement yet, and especially error recognition rate (FAR) is too high under the situation that the database scale increases.
In addition; The background data base design aspect of domestic face identification system lacks active data support and the Managed Solution that is suitable for big storehouse online mode; Make and can't form highly interconnected dynamic monitoring network system between teledata, local data and the management server, above factor affecting these products have high-end people's face intelligent monitoring that security protection is worth and the large-scale promotion application aspect the precise search.
Summary of the invention
To above-mentioned technical matters; The utility model provides a kind of support of recognition of face data and management system that is suitable for the large scale database online mode; From aspects such as customer account management, statistic record, alarm analysis, identity index total system is managed, system comprises image and template database efficiently, and comprehensive database support is provided; And the storage and the extraction of support characteristics of image, can realize the dynamic management of dynamic real-time monitor database.Network data base and local data system are effectively combined and provide the search comparison of authentication comparison one to one and one-to-many through the data base management system (DBMS) of the utility model; For provide efficiently to the recognition of face of large scale database, reliable smart identity recognition data system design and Managed Solution; Make face identification system have high reliability, high scalability and high-level efficiency; Can support large-scale portrait comparison calculation, not influence comparison speed again.Prevent effectively that simultaneously some people card that claims the identity of others fraudulently is engaged in illegal activity in public service places such as hotels.
The technical scheme that realizes the utility model purpose is following:
The data management system of recognition of face comprises people's face registration MBM, and this people's face registration MBM is responsible for storing and handling the facial image template that client generates;
And the watch-list module, this watch-list module is responsible for searching the Template Information of facial image, identity and generation according to the facial image template that people's face registration MBM generates;
And authentication module, this authentication module will come from the facial image of storing in information and the background data base of watch-list module and carry out man-to-man authentication comparison;
And identification module, this identification module will come from the face images template of storing in facial image template that people's face registration MBM generates and the background data base to carry out the search of one-to-many and compares;
And Network Interface Module, this Network Interface Module is carried out the mutual transmission of people's face data through the internet;
And the data check module, this data check module is according to people's face search recognition result inquiry client identity authentication information.
Adopted such scheme; The utility model will come from the facial image of storing in information and the background data base of watch-list module through authentication module and carry out man-to-man authentication comparison; New client for typing never; Image stored is carried out man-to-man authentication and is compared on the China second-generation identity card chip that facial image and its provided that also can select client is gathered in real time, and prevents that a few peoples' certificate that claims the identity of others fraudulently from carrying out unlawful activities in public service places such as hotels.And will come from the face images template of storing in facial image template that people's face registration MBM generates and the background data base through identification module and carry out the search of one-to-many and compare; Thereby search suspect or public all a suspect's watch-lists of searching that public security system is ordered to arrest; And the inner client's with record of bad behavior who is searched in chain hotel watch-list, simultaneously according to the visiting client identity authentication of comparison Search Results auxiliary judgment.
Description of drawings
Fig. 1 is the block scheme of the embodiment of the utility model;
Embodiment
With reference to Fig. 1, the data management system of the recognition of face of the utility model, it is by nine people's face registration MBMs
10, watch-list module 20, authentication module 30, identification module 40, Network Interface Module 50, data check module 60, customer service module 70, alarm logging index module 80 and client information management module 90 are formed, and respectively each module are carried out detailed explanation through native system is applied in the chain hotel management below:
People's face registration MBM 10 is responsible for storage and is handled the facial image template that client generates, and it has following characteristics:
For separate sources and purposes human face photo, providing classification to build library facility.
2. supporting business system client Real-time modeling set is gone into library facility, and modeling is handled and can be carried out operation system client (support the J2EE/.NET system architecture, support B/S, the C/S client), supports that every day, increment was built 100,000 in storehouse.
3. support photograph in enormous quantities to build library facility, the modeling of unit one process batch every day is not higher than 500,000, and supports the parallel library facility of building of multimachine multi-process.
4. build storehouse Studio Portraits file layout: support forms such as JPG, BMP, TIF.
5. support Data Source batch modeling warehouse-in mode from the big object of oracle database; Support is from specified path modeling warehouse-in in enormous quantities mode.Building in batches the storehouse provides failure asynchronous alarm processing capacity, guarantees that successful photograph puts in storage continuously, and manual modeling function is provided.
Watch-list module 20 is responsible for searching the Template Information of facial image, identity and generation according to the facial image template that people's face registration MBM generates.In this embodiment; Watch-list module 20 is combinations of public security system monitor network and hotel's internal control network data base, and wherein the public security network data base comprises the Template Information of facial image, identity and the generation of suspect that public security system is ordered to arrest or all a suspects that openly search.Hotel's internal control network data base comprises the Template Information that the inner client's with record of bad behavior who is searched in chain hotel facial image, identity and backstage generate.
1) accomplish through TCP/IP and the public security system network between the mutual transmission of people's face data.
2) VPN (VPN technology): in chain hotel Intranet, set up the VPN that has safeguard protection; Realize the real-time security transmission of face template and matching result information in conjunction with the bandwidth control function of front-end equipment; And rationally take Internet resources with other operating information systems, the maximal efficiency of performance Internet resources.
Alarm logging index module 80 shows the alarm condition of each point in the whole network.Alarm logging index module 80 has the alarming result function of statistic analysis; The alarm condition that shows all each branch, chain hotel in the whole network, it comprises that public security system orders to arrest multiple warning messages such as the record of bad behavior personnel warning of suspect's warning, the internal searching of chain hotel, equipment running status warning.Generate log record during the All Alerts information of same in database, convenient inquiry later on and retrieval.System writes down the comparison result of warning object automatically, matching fractional, confidence degree, coupling both sides' photo and identity information etc.So that carrying out systematic analysis, artificial verification, parameter adjustment and algorithm improves.
Client information management module 90 is responsible for client's integrated information is carried out integrated management.This integrated management comprises hotel's client identity information and other information (like vip card number, the information of paying a bill was moved in record, discount information etc.) management in the past.
Claims (1)
1. the data management system of recognition of face is characterized in that, comprises people's face registration MBM, and this people's face registration MBM is responsible for storing and handling the facial image template that client generates;
And the watch-list module, this watch-list module is responsible for searching the Template Information of facial image, identity and generation according to the facial image template that people's face registration MBM generates;
And authentication module, this authentication module will come from the facial image of storing in information and the background data base of watch-list module and carry out man-to-man authentication comparison;
And identification module, this identification module will come from the face images template of storing in facial image template that people's face registration MBM generates and the background data base to carry out the search of one-to-many and compares;
And Network Interface Module, this Network Interface Module is carried out the mutual transmission of people's face data through the internet;
And the data check module, this data check module is according to people's face search recognition result inquiry client identity authentication information;
And the customer service module, the result of this customer service module references recognition of face and data check provides personalized service for the client according to its demand or with reference to liked directly in the past;
And the alarm logging index module, this alarm logging index module shows the alarm condition of each point in the whole network;
And the client information management module, this client information management module is responsible for client's integrated information is carried out integrated management.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011202166253U CN202230509U (en) | 2011-06-24 | 2011-06-24 | Face identification data management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN2011202166253U CN202230509U (en) | 2011-06-24 | 2011-06-24 | Face identification data management system |
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| CN202230509U true CN202230509U (en) | 2012-05-23 |
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| CN2011202166253U Expired - Fee Related CN202230509U (en) | 2011-06-24 | 2011-06-24 | Face identification data management system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106126992A (en) * | 2016-06-27 | 2016-11-16 | 惠州Tcl移动通信有限公司 | A kind of Intelligent Service based on recognition of face provides method, system and intelligent terminal |
| CN109194741A (en) * | 2018-09-03 | 2019-01-11 | 郑州云海信息技术有限公司 | A kind of suspect's Check System based on cloud computing |
| CN109829381A (en) * | 2018-12-28 | 2019-05-31 | 北京旷视科技有限公司 | A kind of dog only identifies management method, device, system and storage medium |
| CN112686696A (en) * | 2020-12-28 | 2021-04-20 | 肯特智能技术（深圳）股份有限公司 | Intelligent management method and device for customer information, computer equipment and storage medium |
| CN114519513A (en) * | 2022-01-27 | 2022-05-20 | 黑龙江邮政易通信息网络有限责任公司 | Enterprise digital operation decision management system |
-
2011
- 2011-06-24 CN CN2011202166253U patent/CN202230509U/en not_active Expired - Fee Related
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106126992A (en) * | 2016-06-27 | 2016-11-16 | 惠州Tcl移动通信有限公司 | A kind of Intelligent Service based on recognition of face provides method, system and intelligent terminal |
| CN106126992B (en) * | 2016-06-27 | 2020-03-06 | 惠州Tcl移动通信有限公司 | Intelligent service providing method and system based on face recognition and intelligent terminal |
| CN109194741A (en) * | 2018-09-03 | 2019-01-11 | 郑州云海信息技术有限公司 | A kind of suspect's Check System based on cloud computing |
| CN109829381A (en) * | 2018-12-28 | 2019-05-31 | 北京旷视科技有限公司 | A kind of dog only identifies management method, device, system and storage medium |
| CN112686696A (en) * | 2020-12-28 | 2021-04-20 | 肯特智能技术（深圳）股份有限公司 | Intelligent management method and device for customer information, computer equipment and storage medium |
| CN114519513A (en) * | 2022-01-27 | 2022-05-20 | 黑龙江邮政易通信息网络有限责任公司 | Enterprise digital operation decision management system |
| CN114519513B (en) * | 2022-01-27 | 2023-08-22 | 黑龙江邮政易通信息网络有限责任公司 | Enterprise digital operation decision management system |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120523 Termination date: 20120624 |