CN202003369U - Dynamic human face recognition system - Google Patents
Dynamic human face recognition system Download PDFInfo
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- CN202003369U CN202003369U CN201120074790XU CN201120074790U CN202003369U CN 202003369 U CN202003369 U CN 202003369U CN 201120074790X U CN201120074790X U CN 201120074790XU CN 201120074790 U CN201120074790 U CN 201120074790U CN 202003369 U CN202003369 U CN 202003369U
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- 238000004891 communication Methods 0.000 claims abstract description 16
- 238000001514 detection method Methods 0.000 claims abstract description 13
- 238000012545 processing Methods 0.000 claims abstract description 11
- 230000001815 facial effect Effects 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 7
- 238000012544 monitoring process Methods 0.000 description 7
- 230000003068 static effect Effects 0.000 description 3
- 239000000284 extract Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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Abstract
The utility model relates to a dynamic human face recognition system, and belongs to the technical field of recognition devices. The dynamic human face recognition system comprises an M-path camera, communication equipment, a background management server and an image processing system which is arranged in the background management server. The M-path camera is connected with the background management server which is connected with the communication equipment; the image processing system further comprises a detection module, a recognition module, a statistics module and an early warning module; the detection module is electrically connected with the recognition module; and the recognition module is electrically connected with the statistics module and the early warning module respectively. The dynamic human face recognition system has the advantages that: multi-target human recognition can be performed; the cooperation of inspectors is not needed; and the human face can be recognized accurately in real time.
Description
Technical field
The utility model relates to a kind of recognition system, specifically is a kind of dynamic human face recognition system, belongs to the recognition device technical field.
Background technology
At present, the existing face recognition products core technology in market is static recognition of face, be characterized in and under the individual access personnel cooperate, in the specific region, realize recognition of face, so the application of static recognition of face also only is confined to the subsidiary function of gate control system, promptly a kind of closely face recognition technology under controlled condition.Static face identification system require the user with positive attitude closely in the face of video camera obtaining high-quality facial image, and once can only discern a people.International security situation is increasingly serious, and video monitoring is popularized fast, and numerous video surveillance applications presses for the quick identity recognizing technology under a kind of remote, non-mated condition of user, confirms personnel identity fast in the hope of remote, realizes intelligent early-warning.The selection that face recognition technology is beyond doubt best, adopt the fast face detection technique can be from the monitor video image real-time searching people face, and compare in real time, thereby realize quick identification with face database.But closely face recognition technology makes it be difficult to use in video monitoring to all restrictions of user.Remote face recognition technology towards video monitoring arises at the historic moment under powerful demand drives.Dynamic human face identification product has promptly been finished detection, tracking and identification to people's face at the volley owing to do not need the user to cooperate, thereby significant to social safety.Since the dynamic human face identification institute rig camera distance objective that uses than far and the user be in the motion state of non-cooperation, make that the good facial image of acquisition quality is relatively more difficult, very easily produce motion blur, the quality of institute's images acquired is far below the facial image that obtains under the mated condition closely, simultaneously because the user is in the motion state of non-cooperation, activity is freer, side face and increase greatly back to the probability of video camera, this brings sizable difficulty just for the detection of people's face, face tracking, people's face contrast identification; In addition; usually having many people in the monitoring scene occurs simultaneously; health blocks easily mutually; bring certain difficulty for the identity association; and system also needs everyone is kept Tracking Recognition; these a series of factors cause that the accuracy rate towards the remote recognition of face of video monitoring is low, recognition speed is slow, can not discern a plurality of people simultaneously.
Summary of the invention
At the problem that above-mentioned prior art exists, the utility model provides a kind of sex and the age that can discern many people simultaneously, and the high dynamic human face recognition system of accuracy rate.
To achieve these goals, the technical solution adopted in the utility model is: a kind of dynamic human face recognition system, comprise M road camera, communication apparatus, back-stage management server and be installed in image processing system in the back-stage management server, image processing system has the function of handling many pictures simultaneously, M road camera is connected with back-stage management server, back-stage management server is connected with communication apparatus, image processing system comprises detection module again, identification module, statistical module and early warning module, detection module has the function that detects a plurality of people's face portion feature in same picture simultaneously, identification module comprises sex identification module and age identification module, can identify detected people's age and sex, statistical module with detected people age-based and sex add up respectively.
Communication apparatus can be wire communication equipment or wireless telecommunications system; Identification module comprises sex identification module and age identification module.
The beneficial effects of the utility model are: can carry out multiobject recognition of face, need not the testing staff cooperates, can carry out recognition of face in real time, accurately, can identify age and sex by recognition of face, can compare with people's face data of the suspect who stores simultaneously, be convenient to search, promote the security in city.
Description of drawings
Fig. 1 is an electric theory diagram of the present utility model
Embodiment
The utility model is described in further detail below in conjunction with drawings and Examples.
As shown in Figure 1, the utility model comprises M road camera, communication apparatus, back-stage management server and is installed in the interior image processing system of back-stage management server, M road camera is connected with back-stage management server, back-stage management server is connected with communication apparatus, image processing system comprises detection module, identification module, statistical module and early warning module again, detection module is electrically connected with identification module, and identification module is electrically connected with statistical module and early warning module respectively.
Communication apparatus can be wire communication equipment or wireless telecommunications system; Identification module comprises sex identification module and age identification module.
Embodiment 1
The utility model is arranged on enterprise, government, local purposes such as each crossing as monitoring identification a suspect, M road video camera passes to back-stage management server with the picture signal that photographs, image processing system in the back-stage management server is handled signal, detection module extracts the facial characteristics of people in the picture, then signal is passed to identification module, identification module calls the suspect's who is stored in the back-stage management server facial characteristics signal, carry out the facial characteristics comparison with the signal that transmits, if comparison result is for denying, then the signal that transmits is delivered in the database and preserves, if comparison result is for being, then the signal that transmits is delivered in the database and preserves, send early warning by the early warning module, simultaneously early warning signal is sent out by communication apparatus.So just can realize detecting in real time dealing personnel's facial characteristics, when the suspect passes through, can find and send early warning fast, the related personnel is taken measures rapidly, urban safety is protected in the place of required monitoring.
Embodiment 2
The utility model is arranged on the square, the museum, markets etc. are local as passenger flow statistical system, M road video camera passes to back-stage management server with the picture signal that photographs, image processing system in the back-stage management server is handled signal, detection module extracts the facial characteristics of people in the picture, then signal is passed to identification module, sex identification module and age identification module in the identification module are discerned signal respectively, signal after handling is passed to statistical module, statistical module is added up signal respectively according to age and sex, when statistical passenger flow volume reaches the default maximum volume of the flow of passengers, system can send early warning by the early warning module, simultaneously by simultaneously early warning signal being sent out by communication apparatus.So just can real-time statistics go out each age proportion and sex ratio in the current volume of the flow of passengers and the volume of the flow of passengers, when the volume of the flow of passengers is excessive, the utility model can send early warning, the relevant personnel are taken measures fast, places such as square, museum, market are remained in the passenger flow scope of a safety.
Claims (3)
1. dynamic human face recognition system, it is characterized in that comprising M road camera, communication apparatus, back-stage management server and be installed in the interior image processing system of back-stage management server, M road camera is connected with back-stage management server, back-stage management server is connected with communication apparatus, image processing system comprises detection module, identification module, statistical module and early warning module again, detection module is electrically connected with identification module, and identification module is electrically connected with statistical module and early warning module respectively.
2. a kind of dynamic human face recognition system according to claim 1 is characterized in that described communication apparatus can be wire communication equipment or wireless telecommunications system.
3. a kind of dynamic human face recognition system according to claim 1 is characterized in that described identification module comprises sex identification module and age identification module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201120074790XU CN202003369U (en) | 2011-03-21 | 2011-03-21 | Dynamic human face recognition system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201120074790XU CN202003369U (en) | 2011-03-21 | 2011-03-21 | Dynamic human face recognition system |
Publications (1)
| Publication Number | Publication Date |
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| CN202003369U true CN202003369U (en) | 2011-10-05 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201120074790XU Expired - Lifetime CN202003369U (en) | 2011-03-21 | 2011-03-21 | Dynamic human face recognition system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103235943A (en) * | 2013-05-13 | 2013-08-07 | 苏州福丰科技有限公司 | Principal component analysis-based (PCA-based) three-dimensional (3D) face recognition system |
| CN105787441A (en) * | 2016-02-01 | 2016-07-20 | 浙江纳特智能网络工程有限公司 | Intelligent video analysis software |
| CN106295469A (en) * | 2015-05-21 | 2017-01-04 | 北京文安智能技术股份有限公司 | A kind of guest's property analysis method based on face, Apparatus and system |
| CN108364374A (en) * | 2017-12-28 | 2018-08-03 | 武汉烽火众智数字技术有限责任公司 | Face access control device based on deep learning and method |
| CN108460504A (en) * | 2017-02-17 | 2018-08-28 | 张月妹 | A kind of supermarket's safe condition real-time visual evaluation and test algorithm |
-
2011
- 2011-03-21 CN CN201120074790XU patent/CN202003369U/en not_active Expired - Lifetime
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103235943A (en) * | 2013-05-13 | 2013-08-07 | 苏州福丰科技有限公司 | Principal component analysis-based (PCA-based) three-dimensional (3D) face recognition system |
| CN106295469A (en) * | 2015-05-21 | 2017-01-04 | 北京文安智能技术股份有限公司 | A kind of guest's property analysis method based on face, Apparatus and system |
| CN105787441A (en) * | 2016-02-01 | 2016-07-20 | 浙江纳特智能网络工程有限公司 | Intelligent video analysis software |
| CN108460504A (en) * | 2017-02-17 | 2018-08-28 | 张月妹 | A kind of supermarket's safe condition real-time visual evaluation and test algorithm |
| CN108364374A (en) * | 2017-12-28 | 2018-08-03 | 武汉烽火众智数字技术有限责任公司 | Face access control device based on deep learning and method |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| ASS | Succession or assignment of patent right |
Owner name: GUANGZHOU YUNCONG INFORMATION TECHNOLOGY CO., LTD. Free format text: FORMER OWNER: ZHOU XI Effective date: 20150424 |
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| C41 | Transfer of patent application or patent right or utility model | ||
| COR | Change of bibliographic data |
Free format text: CORRECT: ADDRESS; FROM: 641000 NEIJIANG, SICHUAN PROVINCE TO: 511457 GUANGZHOU, GUANGDONG PROVINCE |
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| TR01 | Transfer of patent right |
Effective date of registration: 20150424 Address after: 511457 Guangdong city of Guangzhou province Nansha District Golden Road No. 26 room 1306 (only for office use) Patentee after: GUANGZHOU YUNCONG INFORMATION TECHNOLOGY CO., LTD. Address before: 641000 Neijiang city of Sichuan province Dongxing District Dongxing Street View Street No. 61 Building 2 No. 6 Patentee before: Zhou Xi |
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| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of utility model: Dynamic face identification system and method Effective date of registration: 20191202 Granted publication date: 20111005 Pledgee: China Co truction Bank Corp Guangzhou economic and Technological Development Zone sub branch Pledgor: GUANGZHOU YUNCONG INFORMATION TECHNOLOGY CO., LTD. Registration number: Y2019440000240 |
|
| CP01 | Change in the name or title of a patent holder |
Address after: 511457 Guangdong city of Guangzhou province Nansha District Golden Road No. 26 room 1306 (only for office use) Patentee after: Yuncong Technology Group Co., Ltd Address before: 511457 Guangdong city of Guangzhou province Nansha District Golden Road No. 26 room 1306 (only for office use) Patentee before: GUANGZHOU YUNCONG INFORMATION TECHNOLOGY CO., LTD. |
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| CP01 | Change in the name or title of a patent holder | ||
| PC01 | Cancellation of the registration of the contract for pledge of patent right |
Date of cancellation: 20210119 Granted publication date: 20111005 Pledgee: China Co. truction Bank Corp Guangzhou economic and Technological Development Zone sub branch Pledgor: GUANGZHOU YUNCONG INFORMATION TECHNOLOGY Co.,Ltd. Registration number: Y2019440000240 |
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| PC01 | Cancellation of the registration of the contract for pledge of patent right | ||
| CX01 | Expiry of patent term | ||
| CX01 | Expiry of patent term |
Granted publication date: 20111005 |