CN201689439U - Distributed face recognizing system - Google Patents
Distributed face recognizing system Download PDFInfo
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- CN201689439U CN201689439U CN2010201978362U CN201020197836U CN201689439U CN 201689439 U CN201689439 U CN 201689439U CN 2010201978362 U CN2010201978362 U CN 2010201978362U CN 201020197836 U CN201020197836 U CN 201020197836U CN 201689439 U CN201689439 U CN 201689439U
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Abstract
The utility model provides a distributed face recognizing system comprising a remote information processing monitoring module and a plurality of front-end devices. The plurality of front-end devices are connected with one another through a network, and are arranged in an expansion way; and the front-end devices are arranged in different positions of a far end or intensively arranged in one position. The distributed face recognizing system is provided with the front-end devices, the plurality of front-end devices are arranged in an expansion way, and only the plurality of front-end devices are arranged in different positions, the problems of multiple recognizing points and scatter distribution can be solved, the cost is effectively reduced, the distributed face recognizing system has flexibility and expansion capability, the database of face characteristic is enlarged and face recognition and precision are improved.
Description
Technical field
The utility model relates to the system in a kind of living things feature recognition field, is specifically related to a kind of distributed face identification system.
Background technology
At present, now face recognition application is universal day by day, and the user of use is also more and more, and the scope of use is also more and more wider, the field of use more and more.Yet, the comparative maturity of face recognition technology development, also very many at the application of recognition of face, but on a large scale, distributed recognition of face also do not use at present.With regard to present domestic face identification system situation, mostly be centralized, as the garden formula, the building formula.Its shortcoming is that garden formula, building formula, recognition of face terminal are all very concentrated, and the information processing end is also just nearby, processing all be the information of relatively concentrating, and can simultaneously treated information count limitedly, information share is not strong.
The utility model content
The utility model provides a kind of distributed face identification system, can realize high speed, recognition of face accurately to widely distributed collection or control point, the reduction system is to restrictions such as process range, process information points, thereby increased the coverage rate that system uses, for distributed face recognition application is saved cost, and dirigibility is good, and expanded function is strong, and is easy to use.
For achieving the above object, the utility model provides a kind of distributed face identification system, it is characterized in that, this system comprises the teleprocessing monitoring module, and passes through the network plurality of front end devices with this teleprocessing monitoring module respectively;
Above-mentioned fore device expansion is provided with infinitely a plurality of;
Above-mentioned fore device distributes and is arranged on the diverse location of far-end, or the concentrated position, a place that is arranged on.
Above-mentioned teleprocessing monitoring module comprises message processing module, and the first information sending/receiving module and the face recognition module that are connected with this message processing module respectively.
Above-mentioned fore device comprises the information indicating module, and the man face image acquiring processing module that is connected with the input end of this information indicating module respectively and the second information sending/receiving module; This man face image acquiring processing module comprises acquisition module and processing module; This man face image acquiring processing module also is connected with the input end of the second information sending/receiving module.
Above-mentioned fore device is portable or fixed.
Connect by wireless network or cable network between above-mentioned fore device and the teleprocessing monitoring module.
Setting up network between teleprocessing monitoring module and the some fore devices is connected, store some human face image information as the recognition of face information bank by face recognition module, human face image information is gathered and handled to fore device, and be sent to the teleprocessing monitoring module by network, the teleprocessing monitoring module is discerned human face image information, and sending the fore device of corresponding process information to correspondence, fore device is operated according to the process information that is received.
A kind of distributed face identification system of the utility model is compared with existing face identification system, its advantage is, the utility model is provided with fore device, and this fore device can be expanded and be provided with infinitely a plurality ofly, connects the teleprocessing monitoring module by network, in application, many when the point that needs recognition of face, distribute when relatively loosing again, do not need to be equipped with in addition identified server etc., as long as, effectively reduced cost at different local fore devices of arranging more;
The utility model fore device can be arranged on the diverse location of far-end, or concentrates and to be arranged on position, a place, can adjust the harvester of collection point and need not change miscellaneous equipment, and it is more flexible to distribute, and expands convenient;
The utility model fore device can expand be provided with infinitely a plurality of, make the dirigibility and the extended capability that the utlity model has distributed system, enlarged the database of face characteristic simultaneously, make that the data that provide for recognition of face are abundanter, so improved the recognition of face rate, accuracy of identification also will increase.
Description of drawings
Fig. 1 is the overall module diagram of the utility model distributed face identification system;
Fig. 2 is the module diagram of the utility model distributed face identification system.
Embodiment
Further specify embodiment of the present utility model below in conjunction with accompanying drawing.
As shown in Figure 1, the utility model distributed face identification system comprises teleprocessing monitoring module 1, and several fore devices 2 that are connected by the Internet or ethernet network with this teleprocessing monitoring module 1 respectively, the network between fore device 2 and the teleprocessing monitoring module 1 can be set up by wireless network or cable network.Fore device 2, be used for gathering and extracting the facial image that suitable recognition of face is used, and human face image information sent to teleprocessing monitoring module 1, teleprocessing monitoring module 1 receives from fore device 2, and the facial image that receives is carried out recognition of face handle, feed back to corresponding fore device 2 according to result, fore device 2 receiving feedback informations are also made corresponding prompt.In the utility model, fore device 2 can be expanded and be provided with infinitely a plurality ofly, can be arranged on the diverse location of far-end, or concentrates and be arranged on position, a place, makes the utility model form distributed system.
As shown in Figure 2, fore device 2 is a kind of man face image acquiring device, this fore device 2 can be made as portable or fixed, when fore device 2 is to use in the place as the garden formula, can adopt fixed, distribute on a large scale and be installed on the room exterior wall at each family in the garden, as being the personnel that patrol and examine of garden or security personnel's use, can be with fore device 2 as portable use, carrying this fore device 2 by personnel of patrolling and examining or security personnel does not just fixedly mount a little, can be a lot of different, at a distance of distant place the suspicious figure is carried out recognition of face and detect, and the Internet by wireless connections or LAN (Local Area Network) are sent to teleprocessing monitoring module 1 and discern processing.Fore device 2 comprises information indicating module 21, and the man face image acquiring processing module 22 that is connected with the input end of this information indicating module 21 respectively and the second information sending/receiving module 23; Man face image acquiring processing module 22 comprises acquisition module and processing module, and wherein acquisition module includes camera; This man face image acquiring processing module 22 also is connected with the input end of the second information sending/receiving module 23, wherein the second information sending/receiving module 23 can pass through wired connection or wireless connections, connects to enter the Internet or Ethernet and teleprocessing monitoring module 1 and carry out information interaction.Fore device 2 is used for gathering facial image, gives teleprocessing monitoring module 1 transmission information and receiving remote information processing monitoring module 1 feedback information, makes corresponding prompting.
As shown in Figure 2, the utility model medium-long range information processing monitoring module 1 comprises message processing module 11, and the first information sending/receiving module 12 and the face recognition module 13 that are connected with this message processing module 11 respectively, wherein first information sending/receiving module 12 can pass through wired connection or wireless connections, connect and enter the Internet or Ethernet and fore device 2 and carry out information interaction, this teleprocessing monitoring module 1 also is provided with display screen.Teleprocessing monitoring module 1, gather and preserve a large amount of facial images, face characteristic information in advance, receive facial image and processing instruction that a plurality of fore devices 2 send over then simultaneously, the information that corresponding fore device 2 sends is handled on request, and the result is sent to corresponding fore device 2.
Specify recognition methods of the present utility model below in conjunction with said system:
After step 3 man face image acquiring processing module 22 is gathered human face image information by its acquisition module, by processing module this information is carried out rough handling, from information, extract useful image, as the complete image of face characteristic, methods such as back utilization colour picture binaryzation change into the face characteristic data with facial image, and sending information to information indicating module 21, the human face image information after will handling simultaneously transfers to the second information sending/receiving module 23.Information indicating module 21 is sent display reminding information, the information content for example: " please after a while, in the information processing ".The second information sending/receiving module 23 is set the identifying information of this fore device 2, self-defined network packet, in the packet of information, set special flag, comprise some information in this flag as the IP address of this fore device 2, the network port, and this information is information or handle back information etc. before handling.Then the identifying information of the fore device 2 of human face image information and this collection human face image information is sent to the first information sending/receiving module 12 of teleprocessing monitoring module 1 by Ethernet or the Internet.
The human face image information that step 4 first information sending/receiving module 12 is sent by Ethernet receiving front-end device 2, and transfer to message processing module 11.Message processing module 11 extracts human face image information, transfers to face recognition module 13.Face recognition module 13 is carried out recognition of face, after face recognition module 13 receives human face image information, the beginning recognition of face, people's face in face characteristic and the existing recognition of face information bank is carried out aspect ratio to identification, when recognition of face, as to set similarity threshold be 0.85, has only this person's face feature and face database face characteristic comparison similarity so more than or equal to 0.85 o'clock, could determine that this person is exactly someone in the face database, finish comparison, if none can reach, then illustrating does not have this person in the face database, finish and finish recognition of face, and feed back to message processing module 11.Message processing module 11 is made corresponding processing according to the information after the recognition of face, do a prompting for teleprocessing monitoring module 1, prompting monitor staff such as prompting screen by teleprocessing monitoring module 1, and with corresponding operating information: such as send after discerning, confirm this person for Whom, information such as physical resource, be issued to first information sending/receiving module 12.First information sending/receiving module 12 is given the fore device 2 of former transmission human face image information according to the identifying information that received the fore device 2 of information originally by Ethernet transmit operation information.
The second information sending/receiving module 23 of the corresponding fore device 2 of step 5 receives operation information by Ethernet, and this operation information is transferred to information indicating module 21, and information indicating module 21 is carried out corresponding prompt and shown, provides the required corresponding information of user.
Although content of the present utility model has been done detailed introduction by above preferred embodiment, will be appreciated that above-mentioned description should not be considered to restriction of the present utility model.After those skilled in the art have read foregoing, for multiple modification of the present utility model with to substitute all will be conspicuous.Therefore, protection domain of the present utility model should be limited to the appended claims.
Claims (5)
1. a distributed face identification system is characterized in that, this system comprises teleprocessing monitoring module (1), and passes through network plurality of front end devices (2) with described teleprocessing monitoring module (1) respectively;
Described fore device (2) expansion is provided with infinitely a plurality of;
Described fore device (2) distributes and is arranged on the diverse location of far-end, or the concentrated position, a place that is arranged on.
2. distributed face identification system as claimed in claim 1, it is characterized in that, described teleprocessing monitoring module (1) comprises message processing module (11), and first information sending/receiving module (12) that is connected with described message processing module (11) respectively and face recognition module (13).
3. distributed face identification system as claimed in claim 1, it is characterized in that, described fore device (2) comprises information indicating module (21), and the man face image acquiring processing module (22) that is connected with the input end of described information indicating module (21) respectively and the second information sending/receiving module (23); Described man face image acquiring processing module (22) comprises acquisition module and processing module; This man face image acquiring processing module (22) also is connected with the input end of the described second information sending/receiving module (23).
4. distributed face identification system as claimed in claim 1 is characterized in that, described fore device (2) is portable or fixed.
5. distributed face identification system as claimed in claim 1 is characterized in that, connects by wireless network or cable network between described fore device (2) and the described teleprocessing monitoring module (1).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010201978362U CN201689439U (en) | 2010-05-20 | 2010-05-20 | Distributed face recognizing system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN2010201978362U CN201689439U (en) | 2010-05-20 | 2010-05-20 | Distributed face recognizing system |
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| CN201689439U true CN201689439U (en) | 2010-12-29 |
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| CN2010201978362U Expired - Lifetime CN201689439U (en) | 2010-05-20 | 2010-05-20 | Distributed face recognizing system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102609695A (en) * | 2012-02-14 | 2012-07-25 | 上海博物馆 | Method and system for recognizing human face from multiple angles |
| CN102622579A (en) * | 2012-02-20 | 2012-08-01 | 华焦宝 | Face early warning method and system |
| CN102622580A (en) * | 2012-02-20 | 2012-08-01 | 华焦宝 | Face detection and recognition method and system |
| WO2013081517A1 (en) * | 2011-12-01 | 2013-06-06 | Telefonaktiebolaget L M Ericsson (Publ) | Method for performing face recognition in a radio access network |
| CN105574500A (en) * | 2015-12-15 | 2016-05-11 | 北京天诚盛业科技有限公司 | Method and device for improving face recognition passing rate |
-
2010
- 2010-05-20 CN CN2010201978362U patent/CN201689439U/en not_active Expired - Lifetime
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013081517A1 (en) * | 2011-12-01 | 2013-06-06 | Telefonaktiebolaget L M Ericsson (Publ) | Method for performing face recognition in a radio access network |
| US9552373B2 (en) | 2011-12-01 | 2017-01-24 | Telefonaktiebolaget Lm Ericsson (Publ) | Method for performing face recognition in a radio access network |
| CN102609695A (en) * | 2012-02-14 | 2012-07-25 | 上海博物馆 | Method and system for recognizing human face from multiple angles |
| CN102622579A (en) * | 2012-02-20 | 2012-08-01 | 华焦宝 | Face early warning method and system |
| CN102622580A (en) * | 2012-02-20 | 2012-08-01 | 华焦宝 | Face detection and recognition method and system |
| CN102622579B (en) * | 2012-02-20 | 2014-03-19 | 华焦宝 | Face early warning method and system |
| CN105574500A (en) * | 2015-12-15 | 2016-05-11 | 北京天诚盛业科技有限公司 | Method and device for improving face recognition passing rate |
| CN105574500B (en) * | 2015-12-15 | 2019-09-27 | 北京眼神智能科技有限公司 | The method and apparatus for improving recognition of face percent of pass |
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