CN103297512B - A kind of face recognition area network intelligent monitor system based on cloud and method - Google Patents
A kind of face recognition area network intelligent monitor system based on cloud and method Download PDFInfo
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- CN103297512B CN103297512B CN201310179591.9A CN201310179591A CN103297512B CN 103297512 B CN103297512 B CN 103297512B CN 201310179591 A CN201310179591 A CN 201310179591A CN 103297512 B CN103297512 B CN 103297512B
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Abstract
The invention provides a kind of face recognition area network intelligent monitor system based on cloud and method, this system includes: home server and central server, and home server is connected with central server by network；Described home server includes that local face identification system, National Officer's basic information database, local face information database, National Officer come in and go out state information database；Described central server includes that center face identification system, region complete personnel basic information database, region complete face information database, the complete personnel in region come in and go out state information database.
Description
Technical field
The present invention relates to the intelligent and region protection and monitor field of real-time, especially relate to a kind of based on cloud
The face recognition area network intelligent monitor system of technology and method.
Background technology
Traditional network video monitor and control system utilizes and is arranged in the video camera of each control point to obtain video image,
The image the Internet of each control point or video link pass center monitoring room back, with artificial rotation on duty enter
Row monitors, or utilizes storage medium (magnetic disk etc.) to record, in case searching in the future or playback.
This method has the disadvantage in that
1, video image belongs to unstructuredness data, it is difficult to analyzes in real time and adds up.People's eye monitoring is by memory
The object of identification is very limited, and monitoring personnel monitor the image that multiple cameras is passed back simultaneously, because of leakage
See and the tired carelessness caused is inevitable, let alone react in time.
2, multiple paths of video images data volume is the hugest, takies the network transmission bandwidth resource of flood tide, network video
Frequently the range of application of monitoring system is limited by network transmission bandwidth.
3, error rate height and poor stability, system can be along with dressing, around to the discrimination of suspect object
Environment, the change of the monitoring conditions such as personnel state and fluctuate.
Face gate control system is a kind of monitoring system utilizing face recognition technology to research and develop, and can be known by face
Other technology obtains personnel identity information in real time, enters if any illegal personnel, can be with Realtime Alerts.This
System has the disadvantage in that needs cooperating with on one's own initiative of monitored object.Be confined in smaller range one or
Several control points, the ability shortcoming of area networking monitoring.
Summary of the invention
In order to solve the problems referred to above, the invention provides a kind of face recognition area network intelligence based on cloud
Energy monitoring system, comprising:
Home server and central server, home server is connected with central server by network；
Described home server includes local face identification system, National Officer's basic information database, this locality
Face information data base, National Officer come in and go out state information database；
Described local face identification system is used for obtaining face image data, and makes this face image data and this
Information in ground face information data base is compared；
Described National Officer's basic information database is used for storing National Officer's essential information；
Described local face information database is for storing the face image data of National Officer；
Described National Officer comes in and goes out state information database for storing the discrepancy status information of National Officer；
Described central server include center face identification system, region complete personnel basic information database,
Region complete face information database, the complete personnel in region come in and go out state information database；
Described center face identification system is for obtaining the face image data that home server is uploaded, and makes this
Face image data face complete with region information database is compared；
Described region complete personnel basic information database is used for storing one's respective area complete personnel essential information；
Described region complete face information database is for storing personnel's face image data that one's respective area is complete；
The complete personnel in described region come in and go out state information database for storing the discrepancy shape of the complete personnel in one's respective area
State information.
Further, this system includes: inquiry terminal, this inquiry terminal can log in central server queries
The discrepancy status information of personnel in region.
Further, described network can be the Internet or wireless network.
Further, described National Officer's essential information include name, sex, affiliated unit, affiliated function,
Address such personnel essential information.
Present invention also offers a kind of face recognition area network intelligent control method based on cloud, it is special
Levy and be to comprise the following steps:
Step (1), local recognition of face system acquisition local video image, it is sent to home server；
Step (2), captures out face image data from local video image；
Step (3), local face identification system makes this face image data enter with local face information database
Row comparison and identification；
Step (4), when home server identifies National Officer, does not trigger warning, and a record keeping personnel goes out
Enter status information, and the status information that personnel come in and gone out is uploaded to the complete personnel in region of central server in real time and goes out
Enter state information database；
Step (5), when home server identifies non-local personnel, uploads face image data extremely in real time
Central server, the center face identification system in central server makes this face image data complete with region
Data in face information data base carry out further comparison and identification, to judge being non-local personnel in region
Or personnel outside region；If non-local personnel in region, record discrepancy status information, pass quilt down
Identify personnel's essential information of personnel and come in and go out status information and face image data extremely former home server
National Officer's basic information database, National Officer comes in and goes out state information database and local face Information Number
According to storehouse, when next time accesses same control point, these identified personnel are processed by National Officer by home server；
Step (6), if system identification goes out personnel outside region, can report to the police and retain its face image data.
Further, uploading described in or passing down is by the Internet or wireless network.
Further, step (5) including: personnel's essential information of non-local personnel and face figure in region
As, in the case of the most former home server of data, the most only updating the status information that comes in and goes out.
Accompanying drawing explanation
Fig. 1 is the structural representation illustrating the system according to the present invention.
Fig. 2 is the schematic flow sheet illustrating the method according to the invention.
Detailed description of the invention
Understandable for making the above-mentioned purpose of the present invention, feature and advantage become apparent from, below in conjunction with the accompanying drawings and specifically
The present invention is further detailed explanation for embodiment:
As it is shown in figure 1, be somebody's turn to do face recognition area network intelligent monitor system based on cloud, its network is tied
Structure is as follows:
Home server 1, home server 2 ..., home server n passes through the Internet or wireless network
It is connected with central server.Assist according to Internet protocol or radio communication between home server and central server
View communicates.Inquiry terminal, according to the difference of authority, can log in central server queries, tracking section
Or the discrepancy status information of personnel in Zone Full.
Local face identification system is installed on home server, includes name/sex/affiliated unit for record
National Officer's basic information database of/affiliated function/specific address etc. personnel's essential information, local face letter
Breath data base, the National Officer of discrepancy status information of record National Officer come in and go out state information database.In
Center face identification system is installed on central server, includes name/sex/affiliated unit/affiliated portion for record
The complete personnel in the region of all personnel's essential information basic information database in door/specific address etc. one's respective area,
Region complete face information database, the region whole person of the discrepancy status information of all personnel in posting field
Member's discrepancy state information database.
Being somebody's turn to do face recognition area network intelligent monitor system based on cloud, its workflow is shown in Fig. 2, specifically
It is described as follows:
Step 1, local recognition of face system acquisition local video image, it is sent to home server.
Step 2, captures out face image data from local video image.
Step 3, local face identification system makes this face image data compare with local face information database
To and identify, whether be National Officer according to recognition result, make differential responses, see step 4 and 5.
Step 4, when home server identifies National Officer, does not trigger warning, and a record keeping personnel comes in and goes out shape
State information, and the status information that personnel come in and gone out is uploaded to the complete personnel in region of central server in real time and comes in and goes out shape
State information database.
Step 5, when home server identifies non-local personnel, uploads face image data in real time to center
Server, the center face identification system in central server makes this face image data and the complete face in region
Data in information database carry out further comparison and identification, with judge be in region non-local personnel or
Personnel outside region.If non-local personnel in region, record discrepancy status information, pass down identified
Go out personnel's essential information of personnel and come in and go out status information and face image data extremely former home server, will
The essential information of identified personnel and view data are respectively added to National Officer's basic information database and basis
Ground face information data base, and update the personnel on home server and come in and go out status information, at region Nei Feiben
In the case of personnel's essential information of ground personnel and the most former home server of face image data, then
Only update the status information that comes in and goes out.When next time accesses same control point, these identified personnel are by home server
Process by National Officer；
Step 6, if system identification goes out personnel outside region, can report to the police and retain its face image data.
Compared with prior art, the effect that the present invention is obtained in that is: the video figure of the unstructuredness of magnanimity
As data, it is converted into the structural plain text data of limitation, the i.e. identity of personnel and the state of discrepancy in real time
Information, and carry out in real time storing, analyze, add up, show and reporting to the police.Not only reduce the number of network transmission
According to amount, also overcome manual supervisory identification and limit to and carelessness problem.Native system utilizes cloud computing technology,
Take a large amount of recognition of face operation calculating resource, be balancedly scattered in central server and each local service
Device rather than concentrate on central server as legacy network monitoring scheme, not only reduces center service
The hardware configuration requirement of device, also substantially increases efficiency and the reliability of region intelligent monitor system.In genuinely convinced
The Internet is utilized to transmit facial image and personal information in real time between business device and each home server so that system
Can accomplish to monitor in real time, react in time.Computer face identification replaces eye recognition, and error rate is low, surely
Qualitative good.
It is above the detailed description that the preferred embodiments of the present invention are carried out, but those of ordinary skill in the art
It should be appreciated that within the scope of the present invention, and guided by the spirit, various improvement, to add and replace be all can
Can.These are all in the protection domain that the claim of the present invention is limited.
Claims (7)
1. a face recognition area network intelligent monitor system based on cloud, its feature exists
In including:
Home server and central server, home server passes through network and central server phase
Even；
Described home server includes local face identification system, National Officer's essential information data
Storehouse, local face information database, National Officer come in and go out state information database；
Described local face identification system is used for obtaining face image data, and makes this facial image
Data are compared with the information in local face information database and identify, work as home server
When identifying National Officer, do not trigger warning；
Described National Officer's basic information database is used for storing National Officer's essential information；
Described local face information database is for storing the face image data of National Officer；
Described National Officer comes in and goes out state information database for storing the discrepancy shape of National Officer
State information；
Described central server includes center face identification system, region complete personnel essential information
Data base, region complete face information database, the complete personnel in region come in and go out status information data
Storehouse；
Described center face identification system is for obtaining the facial image number that home server is uploaded
According to, and make this face image data and region complete face information database compare and identify,
If system identification goes out personnel outside region, can report to the police and retain its face image data；If known
Not going out is non-local personnel in region, record discrepancy status information, passes down identified people
Personnel's essential information of member and come in and go out status information and face image data extremely former local service
National Officer's basic information database of device, National Officer come in and go out state information database and this locality
Face information data base, when next time accesses same control point, these identified personnel are taken by this locality
Business device is processed by National Officer；
Described region complete personnel basic information database is used for storing one's respective area complete personnel base
This information；
Described region complete face information database is for storing personnel's face that one's respective area is complete
View data；
The complete personnel in described region come in and go out state information database for storing one's respective area whole person
The discrepancy status information of member.
System the most according to claim 1, it is characterised in that this system farther includes:
Inquiry terminal, this inquiry terminal can log in the discrepancy shape of personnel in central server queries region
State information.
System the most according to claim 1, it is characterised in that:
Described network can be the Internet or wireless network.
System the most according to claim 1, it is characterised in that:
Described National Officer's essential information include name, sex, affiliated unit, affiliated function,
Address such personnel essential information.
5. a face recognition area network intelligent control method based on cloud, its feature exists
In comprising the following steps:
Step (1), local recognition of face system acquisition local video image, it is sent to local clothes
Business device；
Step (2), captures out face image data from local video image；
Step (3), local face identification system makes this face image data and local face information
Data base compares and identifies；
Step (4), when home server identifies National Officer, does not trigger warning, only note
Record personnel come in and go out status information, and the status information that personnel come in and gone out is uploaded to central server in real time
The complete personnel in region come in and go out state information database；
Step (5), when home server identifies non-local personnel, uploads face figure in real time
As data make this face figure to central server, the center face identification system in central server
As data carry out further comparison and identification with the data in the complete face information database of region,
To judge being personnel outside non-local personnel or region in region；If non-local people in region
Member, record discrepancy status information, pass down personnel's essential information of identified personnel and go out
Enter status information and National Officer's essential information of face image data extremely former home server
Data base, National Officer come in and go out state information database and local face information database, next time
When accessing same control point, these identified personnel are processed by National Officer by home server；
Step (6), if system identification goes out personnel outside region, can report to the police and retain its face figure
As data.
Method the most according to claim 5, it is characterised in that:
Described upload or down pass be by the Internet or wireless network.
Method the most according to claim 5, it is characterised in that step (5) is wrapped further
Include:
In region, personnel's essential information and the face image data of non-local personnel has existed
In the case of former home server, the most only update the status information that comes in and goes out.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201310179591.9A CN103297512B (en) | 2013-05-15 | 2013-05-15 | A kind of face recognition area network intelligent monitor system based on cloud and method |
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| CN201310179591.9A CN103297512B (en) | 2013-05-15 | 2013-05-15 | A kind of face recognition area network intelligent monitor system based on cloud and method |
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| CN103297512A CN103297512A (en) | 2013-09-11 |
| CN103297512B true CN103297512B (en) | 2016-12-28 |
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Families Citing this family (30)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
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| 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 |
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| 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 |
| CN112633068B (en) * | 2020-11-25 | 2023-03-28 | 河北汉光重工有限责任公司 | Cloud system is tracked in people's car image recognition based on land defense control |
| CN113177480A (en) * | 2021-04-29 | 2021-07-27 | 上海商汤智能科技有限公司 | Financial business processing method, device, equipment and medium based on face recognition |
| CN115242442A (en) * | 2022-06-21 | 2022-10-25 | 北京市商汤科技开发有限公司 | Information identification method and device, computer equipment and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101894406A (en) * | 2010-08-09 | 2010-11-24 | 惠州市华阳多媒体电子有限公司 | Network access control system |
| CN201755231U (en) * | 2010-08-05 | 2011-03-09 | 北京海鑫智圣技术有限公司 | Portable multi-biometric feature acquisition device |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050283521A1 (en) * | 2004-06-18 | 2005-12-22 | Whan Wen J | Centrally hosted monitoring system |
-
2013
- 2013-05-15 CN CN201310179591.9A patent/CN103297512B/en not_active Expired - Fee Related
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201755231U (en) * | 2010-08-05 | 2011-03-09 | 北京海鑫智圣技术有限公司 | Portable multi-biometric feature acquisition device |
| CN101894406A (en) * | 2010-08-09 | 2010-11-24 | 惠州市华阳多媒体电子有限公司 | Network access control system |
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