CN103297512A - System and method for intelligent face recognition area network monitoring based on cloud technology - Google Patents

System and method for intelligent face recognition area network monitoring based on cloud technology Download PDF

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CN103297512A
CN103297512A CN2013101795919A CN201310179591A CN103297512A CN 103297512 A CN103297512 A CN 103297512A CN 2013101795919 A CN2013101795919 A CN 2013101795919A CN 201310179591 A CN201310179591 A CN 201310179591A CN 103297512 A CN103297512 A CN 103297512A
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information database
personnel
face
state information
image data
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CN103297512B (en
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吴玉平
白勇
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Abstract

The invention provides a system and a method for intelligent face recognition area network monitoring based on cloud technology. The system comprises a local server and a central server. The local server is connected with the central server through a network. The local server comprises a local face recognition system, a local people basic information data base, a local face information data base and a local people in-and-out information data base. The central server comprises a central face recognition system, an area complete people basic information data base, an area complete face information data base and an area complete people in-and-out information data base.

Description

A kind of recognition of face Local Area Network intelligent monitor system and method based on cloud
Technical field
The present invention relates to the regional protection and monitor field of intelligent and real-time, especially relate to a kind of recognition of face Local Area Network intelligent monitor system and method based on cloud.
Background technology
The video camera that traditional network video monitor and control system utilization is arranged in each control point obtains video image, the image of each control point is passed the center monitoring chamber back with the Internet or video link, with manually rotating on duty the supervision, perhaps utilize storage medium (tape disk etc.) to note, in order to searching or playback in the future.There is following shortcoming in this method:
1, video image belongs to the unstructuredness data, is difficult to carry out real-time analysis and statistics.People's eye monitoring is very limited by the object of memory identification, and a monitor staff monitors the image that multiple cameras is passed back simultaneously, because of leakage see and the tired carelessness that causes inevitable, let alone reaction in time.
2, the multi-channel video image data amount is very huge, takies the network transmission bandwidth resource of flood tide, and the range of application of network video monitor and control system is subjected to the restriction of network transmission bandwidth.
3, error rate height and poor stability, system to the discrimination of suspect object can along with dress, the variation of condition such as surrounding environment, monitor staff's state and fluctuating.
People's face gate control system is a kind of supervisory control system of utilizing the face recognition technology research and development, can obtain personnel identity information in real time by face recognition technology, enters if any illegal personnel, can Realtime Alerts.There is following shortcoming in this system: the cooperating with on one's own initiative of the monitored object of needs.One or several control point in being confined to more among a small circle, the ability shortcoming of area networking monitoring.
Summary of the invention
In order to address the above problem, the invention provides a kind of recognition of face Local Area Network intelligent monitor system based on cloud, it comprises:
Home server and central server, home server links to each other with central server by network;
Described home server comprises local face identification system, National Officer's basic information database, native's face information database, the National Officer state information database of coming in and going out;
Described local face identification system is used for obtaining the facial image data, and the information in these facial image data and the native's face information database is compared;
Described National Officer's basic information database is used for storage National Officer essential information;
Described native's face information database is used for storage National Officer's facial image data;
Described National Officer comes in and goes out state information database for the discrepancy state information of storing the National Officer;
Described central server comprises center face identification system, regional complete personnel's basic information database, regional whole person's face information database, the regional complete personnel state information database of coming in and going out;
Described center face identification system is used for obtaining the facial image data that home server is uploaded, and these facial image data and regional whole person's face information database are compared;
The complete personnel's basic information database in described zone is used for the complete personnel's essential information in storage one's respective area;
Described regional whole person's face information database is used for the complete personnel's facial image data in storage one's respective area;
The complete personnel in described zone come in and go out state information database for the discrepancy state information of storing the complete personnel in one's respective area.
Further, this system comprises: inquiry terminal, this inquiry terminal can be logined the discrepancy state information of personnel in the central server query region.
Further, described network can be the Internet or wireless network.
Further, described National Officer's essential information comprises name, sex, affiliated unit, affiliated function, the such personnel's essential information in address.
The present invention also provides a kind of recognition of face Local Area Network intelligent control method based on cloud, it is characterized in that may further comprise the steps:
Step (1), local face identification system is gathered local video image, is sent to home server;
Step (2) is captured out the facial image data from local video image;
Step (3), local face identification system make these facial image data and native's face information database compare and identify;
Step (4) when home server identifies the National Officer, does not trigger warning, the record state information of coming in and going out, and with personnel's regional complete personnel that state information is uploaded to central server in real time state information database of coming in and going out of coming in and going out;
Step (5), when home server identifies non-National Officer, upload the facial image data in real time to central server, center face identification system in the central server makes the data in these facial image data and the regional whole person's face information database further compare and identify, and is non-National Officer or the outer personnel in zone in the zone with judgement; If non-National Officer in the zone, record discrepancy state information, pass in real time down personnel's essential information of identified personnel and come in and go out state information and facial image data to National Officer's basic information database, the National Officer of former local server come in and go out state information database and native's face information database, when visit next time, these identified personnel were handled by the National Officer by home server during same control point;
Its facial image data can be reported to the police and retain to step (6) if system identification goes out the outer personnel in zone.
It is further, described that to upload or pass down be by the Internet or wireless network.
Further, step (5) comprising: Already under the situation of former local server, then only upgrade the state information of coming in and going out in personnel's essential information and native's face information.
Description of drawings
Fig. 1 is the structural representation that illustrates according to system of the present invention.
Fig. 2 is the schematic flow sheet that the method according to this invention is shown.
Embodiment
For above-mentioned purpose of the present invention, feature and advantage are become apparent more, the present invention is further detailed explanation below in conjunction with the drawings and specific embodiments:
As shown in Figure 1, should be based on the recognition of face Local Area Network intelligent monitor system of cloud, its network configuration is as follows:
Home server 1, home server 2 ..., home server n links to each other with central server by the Internet or wireless network.Communicate according to Internet protocol or wireless communication protocol between home server and the central server.Inquiry terminal can be logined the discrepancy state information of personnel in central server inquiry, tracking section or the Zone Full according to the difference of authority.
Local face identification system be installed on the home server, be used for National Officer's basic information database that record comprises name/sex/affiliated unit/affiliated function/specific address etc. personnel essential information, the National Officer of native's face information database, record National Officer's discrepancy state information comes in and goes out state information database.The center face identification system is installed on the central server, is used for record and comprises regional complete personnel's basic information database of all personnel's essential information name/sex/affiliated unit/affiliated function/specific address etc. one's respective area in, regional whole person's face information database, the regional complete personnel of the interior all personnel's of posting field the discrepancy state information state information database of coming in and going out.
Should be based on the recognition of face Local Area Network intelligent monitor system of cloud, its workflow is seen Fig. 2, specifies as follows:
Step 1, local face identification system is gathered local video image, is sent to home server.
Step 2 is captured out the facial image data from local video image.
Whether step 3, local face identification system make these facial image data and native's face information database compare and identify, be the National Officer according to recognition result, make differential responses, see step 4 and 5.
Step 4 when home server identifies the National Officer, does not trigger warning, the record state information of coming in and going out, and with personnel's regional complete personnel that state information is uploaded to central server in real time state information database of coming in and going out of coming in and going out.
Step 5, when home server identifies non-National Officer, upload the facial image data in real time to central server, center face identification system in the central server makes the data in these facial image data and the regional whole person's face information database further compare and identify, and is non-National Officer or the outer personnel in zone in the zone with judgement.If non-National Officer in the zone, record discrepancy state information, personnel's essential information of the identified personnel of biography and discrepancy state information and facial image data are to former local server in real time, add identified personnel's essential information and view data to National Officer's basic information database and native's face information database respectively, and the state information of coming in and going out of the personnel on the renewal home server, Already under the situation of former local server, then only upgrade the state information of coming in and going out in personnel's essential information and native's face information.When visit next time, these identified personnel were handled by the National Officer by home server during same control point;
Its facial image data can be reported to the police and retain to step 6 if system identification goes out the outer personnel in zone.
Compared with prior art, the effect that the present invention can obtain is: the vedio data of the unstructuredness of magnanimity, be converted into the structural plain text data of limiting the quantity of in real time, i.e. personnel's identity and the state information of coming in and going out, and store in real time, analyze, add up, show and report to the police.Not only reduce the network data quantity transmitted, also overcome manual supervisory identification limitation and carelessness problem.Native system utilizes the cloud computing technology, the recognition of face operation that takies a large amount of computational resources, balancedly be scattered in central server and each home server, rather than resemble and concentrate on central server the legacy network monitoring scheme, not only reduce the hardware configuration requirement of central server, also improved efficient and the reliability of regional intelligent monitor system greatly.Utilize the Internet to transmit facial image and personal information in real time between central server and each home server, real-time monitoring, reaction in time can be accomplished by the system that makes.Computer face identification replaces human eye identification, and error rate is low, good stability.
More than be the detailed description that the preferred embodiments of the present invention are carried out, but those of ordinary skill in the art should be appreciated that within the scope of the present invention, and guided by the spirit various improvement, interpolation and replacement all are possible.These are all in the protection range that claim of the present invention limits.

Claims (7)

1. recognition of face Local Area Network intelligent monitor system based on cloud is characterized in that comprising:
Home server and central server, home server links to each other with central server by network;
Described home server comprises local face identification system, National Officer's basic information database, native's face information database, the National Officer state information database of coming in and going out;
Described local face identification system is used for obtaining the facial image data, and the information in these facial image data and the native's face information database is compared;
Described National Officer's basic information database is used for storage National Officer essential information;
Described native's face information database is used for storage National Officer's facial image data;
Described National Officer comes in and goes out state information database for the discrepancy state information of storing the National Officer;
Described central server comprises center face identification system, regional complete personnel's basic information database, regional whole person's face information database, the regional complete personnel state information database of coming in and going out;
Described center face identification system is used for obtaining the facial image data that home server is uploaded, and these facial image data and regional whole person's face information database are compared;
The complete personnel's basic information database in described zone is used for the complete personnel's essential information in storage one's respective area;
Described regional whole person's face information database is used for the complete personnel's facial image data in storage one's respective area;
The complete personnel in described zone come in and go out state information database for the discrepancy state information of storing the complete personnel in one's respective area.
2. system according to claim 1 is characterized in that this system further comprises:
Inquiry terminal, this inquiry terminal can be logined the discrepancy state information of personnel in the central server query region.
3. system according to claim 1 is characterized in that:
Described network can be the Internet or wireless network.
4. system according to claim 1 is characterized in that:
Described National Officer's essential information comprises name, sex, affiliated unit, affiliated function, the such personnel's essential information in address.
5. recognition of face Local Area Network intelligent control method based on cloud is characterized in that may further comprise the steps:
Step (1), local face identification system is gathered local video image, is sent to home server;
Step (2) is captured out the facial image data from local video image;
Step (3), local face identification system make these facial image data and native's face information database compare and identify;
Step (4) when home server identifies the National Officer, does not trigger warning, the record state information of coming in and going out, and with personnel's regional complete personnel that state information is uploaded to central server in real time state information database of coming in and going out of coming in and going out;
Step (5), when home server identifies non-National Officer, upload the facial image data in real time to central server, center face identification system in the central server makes the data in these facial image data and the regional whole person's face information database further compare and identify, and is non-National Officer or the outer personnel in zone in the zone with judgement; If non-National Officer in the zone, record discrepancy state information, pass in real time down personnel's essential information of identified personnel and come in and go out state information and facial image data to National Officer's basic information database, the National Officer of former local server come in and go out state information database and native's face information database, when visit next time, these identified personnel were handled by the National Officer by home server during same control point;
Its facial image data can be reported to the police and retain to step (6) if system identification goes out the outer personnel in zone.
6. method according to claim 5 is characterized in that:
It is described that to upload or pass down be by the Internet or wireless network.
7. method according to claim 5 is characterized in that step (5) further comprises:
Already under the situation of former local server, then only upgrade the state information of coming in and going out in personnel's essential information and native's face information.
CN201310179591.9A 2013-05-15 2013-05-15 A kind of face recognition area network intelligent monitor system based on cloud and method Expired - Fee Related CN103297512B (en)

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Cited By (30)

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CN104363133A (en) * 2014-11-03 2015-02-18 四川理工学院 Remote intelligent monitoring system and working method thereof for saving server resources
CN104537351A (en) * 2014-12-31 2015-04-22 深圳泰山在线科技有限公司 Quick large-number face recognition method and system
CN104902237A (en) * 2015-06-02 2015-09-09 四川正好科技发展有限公司 Alarm monitoring and people-searching system
CN106326835A (en) * 2016-08-05 2017-01-11 中国石油天然气股份有限公司安徽销售分公司 Human face data collection statistical system and method for gas station convenience store
CN106446816A (en) * 2016-09-14 2017-02-22 北京旷视科技有限公司 Face recognition method and device
CN106469296A (en) * 2016-08-30 2017-03-01 北京旷视科技有限公司 Face identification method, device and gate control system
CN106559654A (en) * 2016-11-18 2017-04-05 广州炫智电子科技有限公司 A kind of recognition of face monitoring collection system and its control method
CN106647502A (en) * 2016-12-27 2017-05-10 天津天地伟业信息系统集成有限公司 Face identification monitoring retrieval system
CN106682590A (en) * 2016-12-07 2017-05-17 浙江宇视科技有限公司 Processing method and server for monitoring service
CN106709468A (en) * 2016-12-31 2017-05-24 北京中科天云科技有限公司 City region surveillance system and device
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CN106991403A (en) * 2017-04-07 2017-07-28 移康智能科技(上海)股份有限公司 A kind of method and apparatus of recognition of face
CN107278369A (en) * 2016-12-26 2017-10-20 深圳前海达闼云端智能科技有限公司 Method, device and the communication system of people finder
CN107493459A (en) * 2017-09-15 2017-12-19 赵立峰 A kind of engineer operation plateform system
CN107516063A (en) * 2016-09-29 2017-12-26 天津铂创国茂电子科技发展有限公司 Method based on cloud branch server recognition of face
CN107657703A (en) * 2017-10-25 2018-02-02 成都云凯软件有限责任公司 A kind of community's discrepancy personnel management system based on Internet of Things cloud
CN107784723A (en) * 2017-10-25 2018-03-09 成都云凯软件有限责任公司 Community's discrepancy personnel's management-control method based on Internet of Things cloud
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CN108876975A (en) * 2017-07-06 2018-11-23 北京旷视科技有限公司 Personnel management system and method based on recognition of face
CN108932783A (en) * 2018-09-19 2018-12-04 南京邮电大学 A kind of access control system towards big flow scene based on two-dimension human face identification
CN109377616A (en) * 2018-10-30 2019-02-22 南京邮电大学 A kind of access control system based on two-dimension human face identification
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CN111541867A (en) * 2020-03-18 2020-08-14 北京中科医信科技有限公司 Face recognition system suitable for medical institution and working method thereof
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CN104537351B (en) * 2014-12-31 2017-11-03 深圳泰山体育科技股份有限公司 The method and system that big figure face is quickly recognized
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CN107784723A (en) * 2017-10-25 2018-03-09 成都云凯软件有限责任公司 Community's discrepancy personnel's management-control method based on Internet of Things cloud
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CN108932783A (en) * 2018-09-19 2018-12-04 南京邮电大学 A kind of access control system towards big flow scene based on two-dimension human face identification
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CN109815371A (en) * 2019-01-30 2019-05-28 无锡华云数据技术服务有限公司 Video monitoring data stores access system
CN110310383A (en) * 2019-05-28 2019-10-08 广东电网有限责任公司 A kind of operating personnel's recognition of face based on mobile terminal is registered system and method
CN111541867A (en) * 2020-03-18 2020-08-14 北京中科医信科技有限公司 Face recognition system suitable for medical institution and working method thereof
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