CN202196458U - Face recognition system - Google Patents
Face recognition system Download PDFInfo
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- CN202196458U CN202196458U CN201120309170XU CN201120309170U CN202196458U CN 202196458 U CN202196458 U CN 202196458U CN 201120309170X U CN201120309170X U CN 201120309170XU CN 201120309170 U CN201120309170 U CN 201120309170U CN 202196458 U CN202196458 U CN 202196458U
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Abstract
The utility model discloses a face recognition system which comprises a first camera module, a second camera module, an image processing module used for processing the obtained image information so as to obtain grayscale image, a motion detection module used for monitoring whether motion occurs according to the acquired grayscale image and transmitting the grayscale image into a face locating module for processing, a face locating module used for generating selection signals of the camera modules according to the position of the face in an upper video scene domain or a lower video scene domain, a feature extraction module, a similarity comparison module used for carrying out similarity comparison between the characteristic value of a face component and the known face data information in a face data storage area, and a camera module switching module used for selecting the image information acquired by the first camera module or the second camera module according to the selection signals of the camera modules. The face recognition system is simple and reasonable in hardware implementation and wide in the visual angle of a space which can be monitored, so that an access control switch can be automatically controlled, the safety is improved, and the face recognition system is convenient for a user.
Description
Technical field
The utility model relates to a kind of face identification system, belongs to technical field of biometric identification.
Background technology
Face recognition technology has progressively had different application at present in the different techniques field.Wherein, just include the entrance guard device field that biotechnology is often used.Realize gate inhibition's control operation through the means of bio-identification.And that the biological attribute of human body is people's a body is exclusive, and attributes such as some biological attribute of people such as fingerprint, iris, image are unique for Different Individual, it is used can stop with gate control system to forge, usurp, the generation of phenomenon such as decoding.Particularly people's face image has uniqueness and stability, has become known identity identification marker.At present, fingerprint entrance guard system all needs special-purpose image capture device and obtains image, and image acquisition is touch or contact, and is unhygienic, and can bring discomfort to the user; And considering to treat monitoring space, existing people's face gate inhibition do not carry out subarea processing; Thereby cause accuracy and inefficiency, cross short and too high people often gather less than, next; Existing face identification system often hardware is realized complicacy, has improved cost and has reduced the efficient of working again; Once more, existing face identification system is in running order, thereby produces a large amount of redundant datas and power consumption, has reduced life of product.Therefore, how to design a kind of wide viewing angle monitoring space, and hardware realizes that simple and rational face identification system becomes the direction that those of ordinary skills make great efforts.
Summary of the invention
The utility model purpose provides a kind of face identification system, and it is simple and rationally that this face identification system hardware is realized, it is wide to monitor the visual angle, space, has realized the automatic control of gate inhibition's switch, has not only improved security but also made things convenient for the user.
For achieving the above object, the technical scheme that the utility model adopts is: a kind of face identification system comprises:
The first camera module is used for gathering the image information that the video scene territory is gone up in space to be monitored;
The second camera module is used for gathering the image information in video scene territory under the space to be monitored;
Control module is according to whether monitor the startup of controlling said image processing module from the infrared ray of human body from said infrared sensor;
Image processing module is used for the said image information that obtains is carried out gray processing, illumination compensation pre-service, thereby obtains gray level image;
Whether motion detection block is connected to said image processing module, have motion to take place according to the said gray level image monitoring of gathering, if there is motion to take place, then this gray level image is transferred to said people's face locating module and handles;
People's face locating module identifies the band of position of facial image in said gray level image, and produces camera module selection signal according to the position in the perhaps following video scene territory, people's face video scene territory on said;
Characteristic extracting module is used for extracting the face component eigenwert from said gray level image;
The similarity comparing module is used for the known person face data message of said face component eigenwert and people's face data storage area is carried out the similarity comparison, produces gate inhibition's switch controlling signal if the phase knowledge and magnanimity reach similar threshold value, otherwise produces alerting signal;
Camera module handover module is used for the image information of selecting signal to select the first camera module or the second camera module to gather according to said camera module.
As preferably, a normalization module between said people's face locating module and said characteristic extracting module, be used for to gray level image be rotated, convergent-divergent, shearing manipulation obtain the Normalized Grey Level image.
As preferably, an electric control lock is connected to said similarity comparing module, is used to receive from gate inhibition's switch controlling signal of said similarity comparing module realize that electric control lock opens or shutoff operation.
Because the technique scheme utilization, the utility model compared with prior art has advantage and effect:
It is simple and rationally that the utility model face identification system, this face identification system hardware are realized, it is wide to monitor the visual angle, space, has realized the automatic control of gate inhibition's switch, and promptly having improved security has and made things convenient for the user.
Description of drawings
Accompanying drawing 1 is the utility model face identification system hardware block diagram.
In the above accompanying drawing: 1, the first camera module; 2, the second camera module; 3, motion detection block; 4, infrared sensor; 5, control module; 6, image processing module; 7, people's face locating module; 8, characteristic extracting module; 9, similarity comparing module; 10, camera module handover module; 11, normalization module; 12, electric control lock.
Embodiment
Below in conjunction with accompanying drawing and embodiment the utility model is further described:
Embodiment one: a kind of face identification system comprises:
The first camera module 1 is used for gathering the image information that the video scene territory is gone up in space to be monitored;
The second camera module 2 is used for gathering the image information in video scene territory under the space to be monitored;
Infrared sensor 4 is used for monitoring the infrared ray of space to be monitored from human body;
Control module 5 is according to whether monitoring the startup of controlling said image processing module 6 from the infrared ray of human body from said infrared sensor 3;
Image processing module 6 is used for the said image information that obtains is carried out gray processing, illumination compensation pre-service, thereby obtains gray level image;
Whether motion detection block is connected to said image processing module 6, have motion to take place according to the said gray level image monitoring of gathering, if there is motion to take place, then this gray level image is transferred to said people's face locating module and handles;
People's face locating module 7 identifies the band of position of facial image in said gray level image, and produces camera module selection signal according to the position in the perhaps following video scene territory, people's face video scene territory on said;
Characteristic extracting module 8 is used for extracting the face component eigenwert from said gray level image;
Similarity comparing module 9 is used for the known person face data message of said face component eigenwert and people's face data storage area is carried out the similarity comparison, produces gate inhibition's switch controlling signal if the phase knowledge and magnanimity reach similar threshold value, otherwise produces alerting signal;
Camera module handover module 10 is used for the image information of selecting signal to select the first camera module 1 or the second camera module 2 to gather according to said camera module.
Embodiment two: a kind of face identification system comprises:
The first camera module 1 is used for gathering the image information that the video scene territory is gone up in space to be monitored;
The second camera module 2 is used for gathering the image information in video scene territory under the space to be monitored;
Infrared sensor 4 is used for monitoring the infrared ray of space to be monitored from human body;
Control module 5 is according to whether monitoring the startup of controlling said image processing module 6 from the infrared ray of human body from said infrared sensor 4;
Image processing module 6 is used for the said image information that obtains is carried out gray processing, illumination compensation pre-service, thereby obtains gray level image;
Whether motion detection block is connected to said image processing module 6, have motion to take place according to the said gray level image monitoring of gathering, if there is motion to take place, then this gray level image is transferred to said people's face locating module and handles;
People's face locating module 7 identifies the band of position of facial image in said gray level image, and produces camera module selection signal according to the position in the perhaps following video scene territory, people's face video scene territory on said;
Characteristic extracting module 8 is used for extracting the face component eigenwert from said gray level image;
Similarity comparing module 9 is used for the known person face data message of said face component eigenwert and people's face data storage area is carried out the similarity comparison, produces gate inhibition's switch controlling signal if the phase knowledge and magnanimity reach similar threshold value, otherwise produces alerting signal;
Camera module handover module 10 is used for the image information of selecting signal to select the first camera module 1 or the second camera module 2 to gather according to said camera module.
One normalization module 11 between said people's face locating module 7 and said characteristic extracting module 8, be used for to gray level image be rotated, convergent-divergent, shearing manipulation obtain the Normalized Grey Level image.
One electric control lock 12 is connected to said similarity comparing module 9, is used to receive from gate inhibition's switch controlling signal of said similarity comparing module 9 realize electric control lock unlatching or shutoff operation.
When adopting above-mentioned face identification system, it is simple and rationally that this face identification system hardware is realized, it is wide to monitor the visual angle, space, can realize the automatic control of gate inhibition's switch, and promptly having improved security has and made things convenient for the user.
The foregoing description only is the technical conceive and the characteristics of explanation the utility model, and its purpose is to let the personage who is familiar with this technology can understand content of the utility model and enforcement according to this, can not limit the protection domain of the utility model with this.All equivalences of being done according to the utility model spirit change or modify, and all should be encompassed within the protection domain of the utility model.
Claims (3)
1. face identification system is characterized in that: comprising:
The first camera module (1) is used for gathering the image information that the video scene territory is gone up in space to be monitored;
The second camera module (2) is used for gathering the image information in video scene territory under the space to be monitored;
Image processing module (6) is used for the said image information that obtains is carried out gray processing, illumination compensation pre-service, thereby obtains gray level image;
Whether motion detection block (3) is connected to said image processing module (6), have motion to take place according to the said gray level image monitoring of gathering, if there is motion to take place, then this gray level image is transferred to said people's face locating module and handles;
People's face locating module (7) identifies the band of position of facial image in said gray level image, and produces camera module selection signal according to the position in the perhaps following video scene territory, people's face video scene territory on said;
Characteristic extracting module (8) is used for extracting the face component eigenwert from said gray level image;
Similarity comparing module (9) is used for the known person face data message of said face component eigenwert and people's face data storage area is carried out the similarity comparison, produces gate inhibition's switch controlling signal if the phase knowledge and magnanimity reach similar threshold value, otherwise produces alerting signal;
Camera module handover module (10) is used for the image information of selecting signal to select the first camera module (1) or the second camera module (2) to gather according to said camera module.
2. control system according to claim 1; It is characterized in that: a normalization module (11) is positioned between said people's face locating module (7) and the said characteristic extracting module (8), be used for to gray level image be rotated, convergent-divergent, shearing manipulation obtain the Normalized Grey Level image.
3. according to claim 1 or 2 described control system; It is characterized in that: an electric control lock (12) is connected to said similarity comparing module (9), is used for receiving from gate inhibition's switch controlling signal of said similarity comparing module (9) realizing electric control lock unlatching or shutoff operation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201120309170XU CN202196458U (en) | 2011-08-24 | 2011-08-24 | Face recognition system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201120309170XU CN202196458U (en) | 2011-08-24 | 2011-08-24 | Face recognition system |
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| CN202196458U true CN202196458U (en) | 2012-04-18 |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103679870A (en) * | 2013-07-17 | 2014-03-26 | 太仓市鸿欣工业产品设计有限公司 | Electronically operated gate managing device based on image recognition |
| CN103761504A (en) * | 2013-12-31 | 2014-04-30 | 江苏图云智能科技发展有限公司 | Face recognition system |
| CN103839486A (en) * | 2012-11-20 | 2014-06-04 | 株式会社东芝 | Display device |
| CN104050449A (en) * | 2014-06-13 | 2014-09-17 | 无锡天脉聚源传媒科技有限公司 | Face recognition method and device |
| CN106569946A (en) * | 2016-10-31 | 2017-04-19 | 惠州Tcl移动通信有限公司 | Mobile terminal performance testing method and system |
| CN106887058A (en) * | 2017-01-09 | 2017-06-23 | 北京微影时代科技有限公司 | Face identification method, device, access management system and gate |
| CN108269333A (en) * | 2018-01-08 | 2018-07-10 | 平安科技（深圳）有限公司 | Face identification method, application server and computer readable storage medium |
| CN110113515A (en) * | 2019-05-13 | 2019-08-09 | Oppo广东移动通信有限公司 | Camera control method and Related product |
| CN111881845A (en) * | 2020-07-30 | 2020-11-03 | 安徽兰臣信息科技有限公司 | Facial image capture terminal of business member system |
| CN112565600A (en) * | 2020-11-28 | 2021-03-26 | 浪潮金融信息技术有限公司 | Intelligent AI camera system and positioning identification method thereof |
| CN113761980A (en) * | 2020-06-04 | 2021-12-07 | 杭州海康威视系统技术有限公司 | Smoking detection method and device, electronic equipment and machine-readable storage medium |
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2011
- 2011-08-24 CN CN201120309170XU patent/CN202196458U/en not_active Expired - Fee Related
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103839486A (en) * | 2012-11-20 | 2014-06-04 | 株式会社东芝 | Display device |
| CN103679870A (en) * | 2013-07-17 | 2014-03-26 | 太仓市鸿欣工业产品设计有限公司 | Electronically operated gate managing device based on image recognition |
| CN103761504A (en) * | 2013-12-31 | 2014-04-30 | 江苏图云智能科技发展有限公司 | Face recognition system |
| CN104050449A (en) * | 2014-06-13 | 2014-09-17 | 无锡天脉聚源传媒科技有限公司 | Face recognition method and device |
| CN104050449B (en) * | 2014-06-13 | 2017-09-01 | 无锡天脉聚源传媒科技有限公司 | A kind of face identification method and device |
| CN106569946A (en) * | 2016-10-31 | 2017-04-19 | 惠州Tcl移动通信有限公司 | Mobile terminal performance testing method and system |
| CN106887058A (en) * | 2017-01-09 | 2017-06-23 | 北京微影时代科技有限公司 | Face identification method, device, access management system and gate |
| WO2019134346A1 (en) * | 2018-01-08 | 2019-07-11 | 平安科技（深圳）有限公司 | Face recognition method, application server, and computer-readable storage medium |
| CN108269333A (en) * | 2018-01-08 | 2018-07-10 | 平安科技（深圳）有限公司 | Face identification method, application server and computer readable storage medium |
| CN110113515A (en) * | 2019-05-13 | 2019-08-09 | Oppo广东移动通信有限公司 | Camera control method and Related product |
| CN110113515B (en) * | 2019-05-13 | 2021-01-12 | Oppo广东移动通信有限公司 | Photographing control method and related product |
| CN113761980A (en) * | 2020-06-04 | 2021-12-07 | 杭州海康威视系统技术有限公司 | Smoking detection method and device, electronic equipment and machine-readable storage medium |
| CN113761980B (en) * | 2020-06-04 | 2024-03-01 | 杭州海康威视系统技术有限公司 | Smoking detection method, smoking detection device, electronic equipment and machine-readable storage medium |
| CN111881845A (en) * | 2020-07-30 | 2020-11-03 | 安徽兰臣信息科技有限公司 | Facial image capture terminal of business member system |
| CN111881845B (en) * | 2020-07-30 | 2024-03-01 | 苏州玥林信息科技有限公司 | Face image capturing terminal of business member system |
| CN112565600A (en) * | 2020-11-28 | 2021-03-26 | 浪潮金融信息技术有限公司 | Intelligent AI camera system and positioning identification method thereof |
| CN112565600B (en) * | 2020-11-28 | 2023-11-03 | 浪潮金融信息技术有限公司 | Intelligent AI camera system and positioning identification method thereof |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120418 Termination date: 20150824 |
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| EXPY | Termination of patent right or utility model |