CN102930243A - Method and system for identifying facial information of special personnel - Google Patents
Method and system for identifying facial information of special personnel Download PDFInfo
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- CN102930243A CN102930243A CN2012103466131A CN201210346613A CN102930243A CN 102930243 A CN102930243 A CN 102930243A CN 2012103466131 A CN2012103466131 A CN 2012103466131A CN 201210346613 A CN201210346613 A CN 201210346613A CN 102930243 A CN102930243 A CN 102930243A
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Abstract
The invention discloses a system and method for identifying facial information of specific personnel. The identification system comprises a background server, a plurality of front-end servers and at least one acquisition device which is arranged on at least one door or passageway in each particular range. When the personnel swipes a card at the door or the passageway in the particular range, the corresponding acquisition device detects a preset event occurring at the door or the passageway, captures a video or an image at the door or the passageway to obtain the facial information of the personnel, and transmits the facial information to the corresponding front-end server; the front-end server is used for comparing the received facial information of the personnel with stored facial information of permanent personnel, and if the received facial information is not matched with the stored facial information, the front-end server transmits the received facial information of the personnel to the background server; and the background server is used for comparing the received facial information with stored facial information of the specific personnel, and if the received facial information is matched with the stored facial information, the background server gives out an alarm signal. The system and the method with the technical scheme provided by the invention have the advantages of short communication distance, small data size and high response speed.
Description
Technical field
The present invention relates to safety-security area, relate in particular to a kind of recognition methods and system of special personnel people's face information.
Background technology
In existing safety-protection system, people's face information of all special personnel (for example fugitive convict) all is stored in background server in the system, when the people is arranged near front-end collection point, front-end collection point collecting device gathers people's face information of this people, the people's face information exchange that gathers crosses corresponding equipment and communication modes is sent to background server, compare in special personnel people's face information that background server and background server are stored, if coupling then produces alarm, do not mate and then do not produce warning.But, there is following defective in these gate control system management methods: all personnel people's face information of front-end collection point collecting device collection all need be sent to background server, compare in background server and special personnel people's face information of storing, communication distance is far away, data volume is large, the people's face information that need compare is many, and response speed is slow.
Summary of the invention
The technical problem to be solved in the present invention is, for the defective that above-mentioned communication distance is far away, data volume is large, response speed is slow of prior art, provides a kind of recognition methods and system of special personnel people's face information, and communication distance is near, data volume is little, fast response time.
The technical solution adopted for the present invention to solve the technical problems is: the recognition system of constructing a kind of special personnel people's face information, comprise: background server, a plurality of front-end servers corresponding with a plurality of particular ranges and be arranged at least one doors of each particular range or at least one collecting device at passage place, and, the pre-stored people's face information that special personnel is arranged of described background server; The pre-stored people's face information that resident personnel in the corresponding particular range is arranged of described front-end server; When having personnel to enter the acquisition range of collecting device, collecting device carries out video or video capture to people's face of these personnel, obtains people's face information of these personnel, and people's face information of obtaining is sent to described front-end server; Described front-end server is compared people's face information of the personnel that receive with people's face information of the resident personnel who stores, if do not mate, then described front-end server is sent to described background server with people's face information of described personnel, described background server is compared people's face information of the personnel that receive with people's face information of the special personnel of storing, if coupling then produces alerting signal.
In the recognition system of special personnel people's face information of the present invention, when the result of described front-end server comparison is coupling, do not produce alerting signal.
In the recognition system of special personnel people's face information of the present invention, when not mating, do not produce alerting signal in the result of described background server comparison.
The present invention also constructs a kind of recognition system of special personnel people's face information, comprise: background server, a plurality of front-end servers corresponding with a plurality of particular ranges and be arranged at least one doors of each particular range or at least one collecting device at passage place, and, the pre-stored people's face information that special personnel is arranged of described background server; The pre-stored people's face information that resident personnel in the corresponding particular range is arranged of described front-end server; Described front-end server is used for the personnel that identity information is determined are carried out the modeling of people's face information, and preserves people's face information of these personnel; When having personnel to enter the acquisition range of collecting device, collecting device carries out video or video capture to people's face of these personnel, obtains people's face information of these personnel, and people's face information of obtaining is sent to described front-end server; Described front-end server is compared people's face information of the personnel that receive with people's face information of the resident personnel who stores, if do not mate, then described front-end server is sent to described background server with people's face information of described personnel, described background server is compared people's face information of the personnel that receive with people's face information of the special personnel of storing, if coupling then produces alerting signal.
The present invention also constructs a kind of recognition methods of special personnel people's face information, comprising:
A. when the acquisition range of the collecting device at the doors that has personnel to enter to be arranged on particular range or passage place, collecting device carries out video or video capture to people's face of these personnel, obtain people's face information of these personnel, and people's face information of obtaining is sent to the front-end server corresponding with this particular range;
B. front-end server is compared the people's face information of resident personnel in people's face information of the personnel that receive and this particular range of storing, if do not mate, then described front-end server is sent to background server with people's face information of described personnel;
C. background server is compared people's face information of the personnel that receive with people's face information of the special personnel of storing, if coupling then produces alerting signal.
In the recognition methods of special personnel people's face information of the present invention, if the result of front-end server comparison does not then produce alerting signal for coupling.
In the recognition methods of special personnel people's face information of the present invention, if the result of background server comparison does not then produce alerting signal for not mating.
The present invention also constructs a kind of recognition methods of special personnel people's face information, comprising:
A0. front-end server carries out the modeling of people's face information to the definite personnel of identity information, and preserves people's face information of these personnel;
A. when the acquisition range of the collecting device at the doors that has personnel to enter to be arranged on particular range or passage place, collecting device carries out video or video capture to people's face of these personnel, obtain people's face information of these personnel, and people's face information of obtaining is sent to the front-end server corresponding with this particular range;
B. front-end server is compared the people's face information of resident personnel in people's face information of the personnel that receive and this particular range of storing, if do not mate, then described front-end server is sent to background server with people's face information of described personnel;
C. background server is compared people's face information of the personnel that receive with people's face information of the special personnel of storing, if coupling then produces alerting signal.
In the recognition methods of special personnel people's face information of the present invention, if the result of front-end server comparison does not then produce alerting signal for coupling.
In the recognition methods of special personnel people's face information of the present invention, if the result of background server comparison does not then produce alerting signal for not mating.
People's face information of people's face information personnel of people's face information personnel of people's face information personnel of people's face information personnel of people's face information personnel of people's face information personnel of people's face information personnel of personnel.
Implement technical scheme of the present invention, people's face information of all resident personnels is carried out the information comparison at front-end server in the front-end server range of management, and need not to be sent to background server and compare, so communication distance is short, so fast response time; Further, people's face information content that front-end server is sent to background server is few, and the personnel people's face information content that need compare at background server is few, so fast response time.
Description of drawings
The invention will be further described below in conjunction with drawings and Examples, in the accompanying drawing:
Fig. 1 is the logical diagram of the recognition system embodiment one of special personnel people's face information of the present invention;
Fig. 2 is the process flow diagram of the recognition methods embodiment one of special personnel people's face information of the present invention;
Fig. 3 is the process flow diagram of the recognition methods embodiment two of special personnel people's face information of the present invention.
Embodiment
As shown in Figure 1, in the logical diagram of the recognition system embodiment one of special personnel people's face information of the present invention, this recognition system comprise background server 10, a plurality of front-end server 21 ..., 22, a plurality of collecting device 31 ..., 32,33 ..., 34, and, the corresponding particular range (for example residential quarter) of each front-end server, each particular range has a doors or passage at least, and each doors or passage are provided with collecting device.In addition, background server 10 pre-stored people's face information that special personnel is arranged, front-end server 21 ..., 22 pre-stored people's face information that resident personnel in the corresponding particular range is arranged.When having personnel to enter the acquisition range of collecting device (for example collecting device 31), people's face of 31 couples of these personnel of collecting device carries out video or video capture, obtain people's face information of people's face information personnel of these personnel, and people's face information of obtaining is sent to front-end server 21.Front-end server 10 is compared people's face information of the personnel that receive with people's face information of the resident personnel who stores, if do not mate, the personnel that this doors or passage place then are described are not the resident personnels in this particular range, and this moment, front-end server 21 was sent to background server 10 with people's face information of these personnel.Background server 10 is compared people's face information of the personnel that receive with people's face information of the special personnel of storing, if coupling illustrates that then the personnel at this doors or passage place are special personnel, for example the runaway convict, produce alerting signal this moment, to enable in time to notify the public security officer.
In the above-described embodiments, preferably, suppose that the result of front-end server comparison is coupling, the personnel that this doors or passage place then are described are the resident personnels in this particular range, do not produce alerting signal this moment.In addition, suppose the result of background server comparison for not mating, the personnel that this doors or passage place then are described are not special personnel, do not produce alerting signal this moment.
In another preferred embodiment of the recognition system of special personnel people's face information of the present invention, front-end server for certain range of management, if can determine certain visiting personnel's identity information, for example, registered identity information also authorize to be come in and gone out but the personnel of typing people face information not, and then this front-end server can be according to customer requirements, and the personnel that identity information is determined carry out the modeling of people's face information, and preserve people's face information of this personnel, to enrich people's face information bank of front-end server.In addition, by video and the pictorial information analysis that front end doors or passage to front-end server storage gather, can understand what and each personnel's the feature of the personnel amount of this scope that enters the front end services management.
Fig. 2 is the process flow diagram of the recognition methods embodiment one of special personnel people's face information of the present invention, and this recognition methods comprises:
S1. when the acquisition range of the collecting device at the doors that has personnel to enter to be arranged on particular range or passage place, collecting device carries out video or video capture to people's face of these personnel, obtain people's face information of people's face information personnel of these personnel, and people's face information of obtaining is sent to the front-end server corresponding with this particular range;
S2. front-end server is compared the people's face information of resident personnel in people's face information of the personnel that receive and this particular range of storing, if coupling is then carried out step S6; If do not mate, then carry out step S3;
S3. front-end server is sent to background server with people's face information of described personnel;
S4. background server is compared people's face information of the personnel that receive with people's face information of the special personnel of storing, if coupling, then execution in step S5; If do not mate, then carry out step S6;
S5. produce alerting signal;
S6. do not produce alerting signal.
Fig. 3 is the process flow diagram of the recognition methods embodiment two of special personnel people's face information of the present invention, and this embodiment compares embodiment shown in Figure 2, and step S1 is identical to step S6, and difference only is before step S1, also to comprise:
S0. front-end server carries out the modeling of people's face information to the definite personnel of identity information, and preserves people's face information of these personnel, to enrich people's face information bank of front-end server.
The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., all should be included within the claim scope of the present invention.
Claims (10)
1. the recognition system of a special personnel people face information, it is characterized in that, comprise: background server, a plurality of front-end servers corresponding with a plurality of particular ranges and be arranged at least one doors of each particular range or at least one collecting device at passage place, and, the pre-stored people's face information that special personnel is arranged of described background server; The pre-stored people's face information that resident personnel in the corresponding particular range is arranged of described front-end server; When having personnel to enter the acquisition range of collecting device, collecting device carries out video or video capture to people's face of these personnel, obtains people's face information of people's face information personnel of these personnel, and people's face information of obtaining is sent to described front-end server; Described front-end server is compared people's face information of the personnel that receive with people's face information of the resident personnel who stores, if do not mate, then described front-end server is sent to described background server with people's face information of described personnel, described background server is compared people's face information of the personnel that receive with people's face information of the special personnel of storing, if coupling then produces alerting signal.
2. the recognition system of special personnel people's face information according to claim 1 is characterized in that, when the result of described front-end server comparison is coupling, does not produce alerting signal.
3. the recognition system of special personnel people's face information according to claim 1 is characterized in that, when not mating, does not produce alerting signal in the result of described background server comparison.
4. the recognition system of a special personnel people face information, it is characterized in that, comprise: background server, a plurality of front-end servers corresponding with a plurality of particular ranges and be arranged at least one doors of each particular range or at least one collecting device at passage place, and, the pre-stored people's face information that special personnel is arranged of described background server; The pre-stored people's face information that resident personnel in the corresponding particular range is arranged of described front-end server; Described front-end server is used for the personnel that identity information is determined are carried out the modeling of people's face information, and preserves people's face information of these personnel; When having personnel to enter the acquisition range of collecting device, collecting device carries out video or video capture to people's face of these personnel, obtains people's face information of these personnel, and people's face information of obtaining is sent to described front-end server; Described front-end server is compared people's face information of the personnel that receive with people's face information of the resident personnel who stores, if do not mate, then described front-end server is sent to described background server with people's face information of described personnel, described background server is compared people's face information of the personnel that receive with people's face information of the special personnel of storing, if coupling then produces alerting signal.
5. the recognition methods of a special personnel people face information is characterized in that, comprising:
A. when the acquisition range of the collecting device at the doors that has personnel to enter to be arranged on particular range or passage place, collecting device carries out video or video capture to people's face of these personnel, obtain people's face information of people's face information personnel of these personnel, and people's face information of obtaining is sent to the front-end server corresponding with this particular range;
B. front-end server is compared the people's face information of resident personnel in people's face information of the personnel that receive and this particular range of storing, if do not mate, then described front-end server is sent to background server with people's face information of described personnel;
C. background server is compared people's face information of the personnel that receive with people's face information of the special personnel of storing, if coupling then produces alerting signal.
6. the recognition methods of special personnel people's face information according to claim 5 is characterized in that, if the result of front-end server comparison does not then produce alerting signal for coupling.
7. the recognition methods of special personnel people's face information according to claim 5 is characterized in that, if the result of background server comparison does not then produce alerting signal for not mating.
8. the recognition methods of a special personnel people face information is characterized in that, comprising:
A0. front-end server carries out the modeling of people's face information to the definite personnel of identity information, and preserves people's face information of these personnel;
A. when the acquisition range of the collecting device at the doors that has personnel to enter to be arranged on particular range or passage place, collecting device carries out video or video capture to people's face of these personnel, obtain people's face information of these personnel, and people's face information of obtaining is sent to the front-end server corresponding with this particular range;
B. front-end server is compared the people's face information of resident personnel in people's face information of the personnel that receive and this particular range of storing, if do not mate, then described front-end server is sent to background server with people's face information of described personnel;
C. background server is compared people's face information of the personnel that receive with people's face information of the special personnel of storing, if coupling then produces alerting signal.
9. the recognition methods of special personnel people's face information according to claim 8 is characterized in that, if the result of front-end server comparison does not then produce alerting signal for coupling.
10. the recognition methods of special personnel people's face information according to claim 8 is characterized in that, if the result of background server comparison does not then produce alerting signal for not mating.
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Cited By (13)
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CN104834911A (en) * | 2015-05-14 | 2015-08-12 | 苏州市公安局苏州工业园区分局 | Portrait dynamic comparison system based on distributed cloud transformation platform |
CN105357473A (en) * | 2015-10-23 | 2016-02-24 | 苏州佳风网络科技有限公司 | Video monitoring method |
CN106529373A (en) * | 2015-09-10 | 2017-03-22 | 上海银晨智能识别科技有限公司 | Human face recognition monitoring alarm method and system |
CN107293012A (en) * | 2017-06-15 | 2017-10-24 | 合肥讯邦网络科技有限公司 | A kind of access control system based on internet |
CN108304772A (en) * | 2017-12-25 | 2018-07-20 | 石化盈科信息技术有限责任公司 | A kind of recognition of face monitoring method and system |
CN109461283A (en) * | 2018-10-31 | 2019-03-12 | 名商科技有限公司 | Intelligent residential district security protection system |
CN109583278A (en) * | 2017-09-29 | 2019-04-05 | 杭州海康威视数字技术股份有限公司 | Method, apparatus, system and the computer equipment of recognition of face alarm |
CN109949454A (en) * | 2019-02-28 | 2019-06-28 | 广州骅视电子技术有限公司 | A kind of Intelligent human-face identification monitor camera |
CN110580754A (en) * | 2018-06-11 | 2019-12-17 | 杭州海康威视系统技术有限公司 | Face authentication method, device and system |
WO2021047664A1 (en) * | 2019-09-12 | 2021-03-18 | 华为技术有限公司 | Biometric feature recognition method and related device |
CN113378622A (en) * | 2021-04-06 | 2021-09-10 | 青岛以萨数据技术有限公司 | Specific person identification method, device, system and medium |
CN113591821A (en) * | 2021-10-08 | 2021-11-02 | 广州洛克韦陀安防科技有限公司 | Image identification security system based on big data screening |
CN113837160A (en) * | 2021-11-29 | 2021-12-24 | 天津市中环系统工程有限责任公司 | Method for identifying normally-living people and vehicles without preset information |
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Cited By (15)
Publication number | Priority date | Publication date | Assignee | Title |
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CN104834911A (en) * | 2015-05-14 | 2015-08-12 | 苏州市公安局苏州工业园区分局 | Portrait dynamic comparison system based on distributed cloud transformation platform |
CN106529373A (en) * | 2015-09-10 | 2017-03-22 | 上海银晨智能识别科技有限公司 | Human face recognition monitoring alarm method and system |
CN105357473A (en) * | 2015-10-23 | 2016-02-24 | 苏州佳风网络科技有限公司 | Video monitoring method |
CN107293012A (en) * | 2017-06-15 | 2017-10-24 | 合肥讯邦网络科技有限公司 | A kind of access control system based on internet |
CN109583278A (en) * | 2017-09-29 | 2019-04-05 | 杭州海康威视数字技术股份有限公司 | Method, apparatus, system and the computer equipment of recognition of face alarm |
CN108304772A (en) * | 2017-12-25 | 2018-07-20 | 石化盈科信息技术有限责任公司 | A kind of recognition of face monitoring method and system |
CN110580754A (en) * | 2018-06-11 | 2019-12-17 | 杭州海康威视系统技术有限公司 | Face authentication method, device and system |
CN109461283A (en) * | 2018-10-31 | 2019-03-12 | 名商科技有限公司 | Intelligent residential district security protection system |
CN109949454A (en) * | 2019-02-28 | 2019-06-28 | 广州骅视电子技术有限公司 | A kind of Intelligent human-face identification monitor camera |
WO2021047664A1 (en) * | 2019-09-12 | 2021-03-18 | 华为技术有限公司 | Biometric feature recognition method and related device |
CN113378622A (en) * | 2021-04-06 | 2021-09-10 | 青岛以萨数据技术有限公司 | Specific person identification method, device, system and medium |
CN113591821A (en) * | 2021-10-08 | 2021-11-02 | 广州洛克韦陀安防科技有限公司 | Image identification security system based on big data screening |
CN113591821B (en) * | 2021-10-08 | 2021-12-10 | 广州洛克韦陀安防科技有限公司 | Image identification security system based on big data screening |
CN113837160A (en) * | 2021-11-29 | 2021-12-24 | 天津市中环系统工程有限责任公司 | Method for identifying normally-living people and vehicles without preset information |
CN113837160B (en) * | 2021-11-29 | 2022-04-22 | 天津市中环系统工程有限责任公司 | Method for identifying normally-living people and vehicles without preset information |
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Application publication date: 20130213 |