CN107590488A - The face identification system that a kind of split-type quickly identifies - Google Patents
The face identification system that a kind of split-type quickly identifies Download PDFInfo
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Abstract
The face identification system that a kind of split-type quickly identifies, including the face identification system located at classroom, some classroom seat groups are provided with the classroom, wherein：The face identification system includes video camera array and back-end server, the video camera array includes some video cameras, the video camera is located at one jiao of classroom seat group, the classroom seat group includes at least two row seats, often row seat includes at least two seats, the video camera side is provided with the recognition of face device for accelerating identification, and the recognition of face is connected with back-end server.The present invention obtains the video flowing of simple and less face characteristic by front-end camera in the form of splitting, face characteristic information in video flowing is effectively collected by recognition of face device again, send to back-end server and carry out analysis contrast, effectively reduce amount of calculation, improve recognition speed.
Description
Technical field
The present invention relates to field of face identification, face identification system that particularly a kind of split-type quickly identifies.
Background technology
In the last few years, with the continuous development of computer hardware performance, video monitoring system based on imaging sensor and
Face identification system obtains fast development, various video monitoring systems and face identification system towards complicated applications background
Emerge in multitude therewith.Currently, presented a piece of thriving gesture is studied in terms of recognition of face, for face tracking and identification
The application field of technology is quite varied, mainly including video conference, intelligent monitoring, image and video frequency searching, man-machine interaction, gate inhibition
Control and face are registered etc..
Artificial work attendance mode that what current most of colleges and universities of China mainly used in student's routine attendance check work be still or
Smart card work attendance mode.Although these work attendance modes can play a role, problem is also very prominent, and teacher does not recognize often
One student, artificial work attendance and smart card work attendance, which there may exist, acts as fraudulent substitute for a person cheating attendance phenomenon；As China university is reformed
Increasingly propulsion, credit system has become the most common teaching method of China university.Under credit system educational pattern, student need not
Classroom learning is carried out in strict accordance with class's organizational system of institute, but can be according to the interest of itself and actual conditions in school instruction
Unrestricted choice subject under framework, as long as the minimum credit repaiied before graduation in full students developing scheme can smoothly graduate.This
Kind of teaching method brings certain difficulty for the work attendance work of colleges and universities, and the student in same classroom may be from multiple institutes, more
Individual professional, multiple class, teacher are unfamiliar with student in teaching process, therefore cause student attendance a large amount of occur in working
The raw phenomenon played truant, practised fraud.Serious negative effect is brought to the normal order in education of colleges and universities and quality of instruction, simultaneously
The sense of organization and sense of discipline of student itself is also reduced, the culture for colleges and universities' school discipline and style of study is very unfavorable with being formed.
However, the system of registering of recognition of face is directed in the prior art, such as applied to face identification system in classroom, by
In classroom, galleryful is more, and recognition of face speed is slow, and most of identification is less than missing inspection or false drop rate are high.In conventional art
Classroom face identification system carries out unified photography generation video flowing by video camera, then is directed to by back end processing module in video flowing
The face of appearance is classified and contrasted, face recognition scheme the increasing with number of this kind of system, its missing inspection or flase drop
Probability gradually increases, and the time of identification used can also increase therewith, and computationally intensive and recognition speed is slow.Arrange simultaneously a set of
Identify that the cost of layout that the face identification system of more people is spent can be with the increasing increased in geometry multiple of classroom galleryful
It is long, it is difficult to meet the recognition of face requirement in modern classroom.
The content of the invention
In order to overcome the disadvantages mentioned above of prior art, it is an object of the invention to provide split-type identification, reduction amount of calculation
The face identification system quickly identified with a kind of split-type for improving recognition speed.
The technical solution adopted for the present invention to solve the technical problems is：The recognition of face system that a kind of split-type quickly identifies
System, including the face identification system located at classroom, some classroom seat groups is provided with the classroom, wherein：The recognition of face
System includes video camera array and back-end server, and the video camera array includes some video cameras, and the video camera is located at
One jiao of classroom seat group, the classroom seat group include at least two row seats, and often arranging seat includes at least two seats, described
Video camera side is provided with the recognition of face device for accelerating identification, and the recognition of face is connected with back-end server.
As a further improvement on the present invention：The video camera is the high-speed ball camera with rotation.
As a further improvement on the present invention：The back-end server includes face database, comparative analysis device and place
Manage memory, the recognition of face device is connected with comparative analysis device, the comparative analysis device respectively with face database and processing
Memory connects.
As a further improvement on the present invention：Also include data memory device in the recognition of face device.
The face identification method that a kind of split-type quickly identifies, wherein：
1）, with least two group of seats seat in a row, a classroom seat group will be formed with least two row seats in classroom；
2）A video camera is provided with each classroom seat group, the video camera needs clear photography to the people on each seat
Face feature, and generate video flowing；
3）Recognition of face device, the recognition of face device regard to video camera generation corresponding to being equipped with the side of each video camera
Frequency obtains the face characteristic information in corresponding seat in flowing, and sends to back-end server；
4）Comparative analysis device receives face characteristic information, and the face pre-stored from face database acquisition in back-end server
Profile comparison information, contrasted, contrast obtains object information：" 1 " or " 0 "；
5）Object information is sent into processing memory and preserved.
Compared with prior art, the beneficial effects of the invention are as follows：
The present invention obtains the video flowing of simple and less face characteristic by front-end camera in the form of splitting, then by recognition of face
Device is effectively collected to face characteristic information in video flowing, is sent to back-end server and is carried out analysis contrast, effectively reduces amount of calculation,
Improve recognition speed.
The present invention is carried out using high-definition camera to all students in classroom by the way of quickly scanning and recognition of face checking
The pupilage attended class is examined, realize people, when three unify, it is false to remove work attendance, and the demand according to user
The statistics of the checking-in result to any one period is realized, the efficiency of the work attendance work of school is improved, alleviates class-teaching of teacher
Burden.
The present invention is applied in large-scale classroom, ensures the situation of face recognition speed, meets the recognition of face of more numbers,
Effective discrimination of face identification system is improved simultaneously, and the situation for reducing missing inspection and flase drop occurs, and meets classroom in modern education
Face identification system.
Compared with conventional face's identifying system, except increasing with number, its correct recognition rata, recognition speed decline are outer,
The cost of conventional face's identifying system can increase with increasing for identification number in geometry multiple, and with number in the present invention
Increase, input cost of manufacture is the cost of directly proportional increase video camera and recognition of face device, and recognition speed and identification are just
True rate is much better than conventional face's identifying system, and as number increases, gap is all the more obvious.
Brief description of the drawings
Fig. 1 is the structural representation of the present invention.
Fig. 2 is the structural representation of the present invention.
Embodiment
In conjunction with brief description of the drawings, the present invention is further described with embodiment：
With reference to figure 1 and Fig. 2, a kind of face identification system that split-type quickly identifies, including located at the people that can accommodate 200 people classrooms
Face identifying system, some classroom seat groups are provided with the classroom, wherein：The face identification system includes video camera array 1
With back-end server 2, the video camera array includes some video cameras, and the video camera is located at one jiao of classroom seat group,
The classroom seat group includes two row seats, and often arranging seat includes five seats side by side, and the video camera is to first row seat
Upper personnel's photography, after obtaining personnel's face characteristic information on each seat, then photograph to personnel on second row seat, obtains
Personnel's face characteristic information on each seat is taken, and generates video flowing.
The video camera side is provided with the recognition of face device for accelerating identification, and the recognition of face connects with back-end server
Connect.The recognition of face device uses eigenface method（Eigenface）The face characteristic information of video flowing is obtained, and the face
Characteristic information is sent to back-end server.
Also include data memory device in the recognition of face device.The data memory device can store video flowing,
Used, more can be configured according to the holding time, the video being automatically deleted before certain time with facilitating to check or retrieve in the future
Stream.
The eigenface method（Eigenface）It is a sight spot algorithm in face recognition algorithms, this method is based on one
Kind part Karhunen-Loeve transformation or referred to as principal component analysis（PCA）.Eigenface method is that a kind of face from principal component analysis everywhere is known
Other and description technique.Eigenface method is exactly to regard the image-region comprising face as a kind of random vector, therefore can be adopted
Its orthogonal K-L substrate is obtained with Karhunen-Loeve transformation.The substrate of corresponding wherein larger characteristic value has the shape similar to face, therefore
Turn into eigenface again.Facial image can be described, expressed and approached using the linear combination of these substrates, therefore pedestrian can be entered
Face identifies.
The video camera is the high-speed ball camera with rotation.The high-speed ball camera is using " accurate differential stepping electricity
Machine " realizes the fast and accurately positioning of clipping the ball, rotation, and can by many functions of traditional cameras, such as white balance,
The functions such as shutter, aperture, zoom, focusing realize control simultaneously.The high-speed ball camera can support that tracing into positioning automatically refers to
Fixed, capture pictures return backstage automatically, are automatically confirmed that and registered by face identification system.
Major parameter includes：
Mechanical dimensions are 222mm*136mm, and weight 1.7KG, at 20 DEG C -50 DEG C, shell is closed operating ambient temperature using aluminium
Gold and engineering plastic, industrial protection grade reach IP66 ranks, and infrared probe is provided with 6 42mu infrared lamps, and distance is up to 40-80
Rice, 0-40 ° can be adjusted with horizontal vertical, cloud corner can adjust vertical 120 °, 360 ° of level.
The video flowing of corresponding classroom seat group is obtained by high-speed ball camera.The video flowing can clearly show the religion
The face characteristic information of personnel in the group of seats of room.
The back-end server includes face database, comparative analysis device and processing memory, the recognition of face device
It is connected with comparative analysis device, the comparative analysis device is connected with face database and processing memory respectively.The comparative analysis
Device obtains face characteristic information from recognition of face device, and enters according to corresponding face profile comparison information is obtained in face database
Row comparative analysis, the result whether met, i.e. object information " 0 " or " 1 " are drawn, object information is sent into processing memory
Preserve.The processing memory obtains object information and accordingly screened, and can unify to export or count to certain time.
The face identification method that a kind of split-type quickly identifies, wherein：
1）, with least two adjacent group of seats seats in a row, a religion will be formed with the adjacent seat of at least two rows in classroom
Room group of seats；
2）A video camera is provided with each classroom seat group, the video camera needs clear photography to the people on each seat
Face feature, and generate video flowing；
3）Recognition of face device, the recognition of face device regard to video camera generation corresponding to being equipped with the side of each video camera
Frequency obtains the face characteristic information in corresponding seat in flowing, and sends to back-end server；
4）Comparative analysis device receives face characteristic information, and the face pre-stored from face database acquisition in back-end server
Profile comparison information, contrasted, contrast obtains object information：" 1 " or " 0 "；
5）Object information is sent into processing memory and preserved.
In summary, after one of ordinary skill in the art reads file of the present invention, technique according to the invention scheme and
Technical concept makes other various corresponding conversion schemes without creative mental labour, belongs to the model that the present invention is protected
Enclose.
Claims (5)
1. the face identification system that a kind of split-type quickly identifies, including the face identification system located at classroom, in the classroom
Provided with some classroom seat groups, it is characterized in that：The face identification system includes video camera array and back-end server, described to take the photograph
Camera array includes some video cameras, and the video camera is located at one jiao of classroom seat group, and the classroom seat group is included extremely
Few two row seats, often arranging seat includes at least two seats, and the video camera side is provided with the recognition of face device for accelerating identification, institute
Recognition of face is stated to be connected with back-end server.
2. the face identification system that a kind of split-type according to claim 1 quickly identifies, it is characterized in that：The video camera
For the high-speed ball camera with rotation.
3. the face identification system that a kind of split-type according to claim 1 quickly identifies, it is characterized in that：The rear end clothes
Business device includes face database, comparative analysis device and processing memory, the recognition of face device and is connected with comparative analysis device, institute
Comparative analysis device is stated to be connected with face database and processing memory respectively.
4. the face identification system that a kind of split-type according to claim 1 quickly identifies, it is characterized in that：The face is known
Also include data memory device in other device.
5. the face identification method that a kind of split-type quickly identifies, it is characterized in that：
1）, with least two group of seats seat in a row, a classroom seat group will be formed with least two row seats in classroom；
2）A video camera is provided with each classroom seat group, the video camera needs clear photography to the people on each seat
Face feature, and generate video flowing；
3）Recognition of face device, the recognition of face device regard to video camera generation corresponding to being equipped with the side of each video camera
Frequency obtains the face characteristic information in corresponding seat in flowing, and sends to back-end server；
4）Comparative analysis device receives face characteristic information, and the face pre-stored from face database acquisition in back-end server
Profile comparison information, contrasted, contrast obtains object information：" 1 " or " 0 "；
5）Object information is sent into processing memory and preserved.
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| CN201711026127.0A CN107590488A (en) | 2017-10-27 | 2017-10-27 | The face identification system that a kind of split-type quickly identifies |
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| CN201711026127.0A CN107590488A (en) | 2017-10-27 | 2017-10-27 | The face identification system that a kind of split-type quickly identifies |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109191610A (en) * | 2018-10-29 | 2019-01-11 | 江苏环宇臻视智能科技有限公司 | A kind of Work attendance method based on recognition of face |
| CN109448150A (en) * | 2019-01-11 | 2019-03-08 | 敏科信息科技(广州)有限公司 | A kind of staff attendance system and method based on face identification system |
| CN109920076A (en) * | 2019-01-29 | 2019-06-21 | 上海阅面网络科技有限公司 | A kind of campus human face identification work-attendance checking system |
| CN110069339A (en) * | 2019-01-10 | 2019-07-30 | 中国电子科技集团公司电子科学研究院 | A kind of Distributed identification tracking system |
| CN110826477A (en) * | 2019-10-31 | 2020-02-21 | 福州塔联信息科技有限公司 | Classroom roll call device based on spherical network camera |
| CN112766888A (en) * | 2021-01-08 | 2021-05-07 | 尹晓东 | Engineering project on-site bidding intelligent management system and cloud management platform based on big data internet |
| CN113343850A (en) * | 2021-06-07 | 2021-09-03 | 广州市奥威亚电子科技有限公司 | Method, device, equipment and storage medium for checking video character information |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109191610A (en) * | 2018-10-29 | 2019-01-11 | 江苏环宇臻视智能科技有限公司 | A kind of Work attendance method based on recognition of face |
| CN110069339A (en) * | 2019-01-10 | 2019-07-30 | 中国电子科技集团公司电子科学研究院 | A kind of Distributed identification tracking system |
| CN110069339B (en) * | 2019-01-10 | 2022-06-24 | 中国电子科技集团公司电子科学研究院 | Distributed recognition tracking system |
| CN109448150A (en) * | 2019-01-11 | 2019-03-08 | 敏科信息科技(广州)有限公司 | A kind of staff attendance system and method based on face identification system |
| CN109920076A (en) * | 2019-01-29 | 2019-06-21 | 上海阅面网络科技有限公司 | A kind of campus human face identification work-attendance checking system |
| CN110826477A (en) * | 2019-10-31 | 2020-02-21 | 福州塔联信息科技有限公司 | Classroom roll call device based on spherical network camera |
| CN112766888A (en) * | 2021-01-08 | 2021-05-07 | 尹晓东 | Engineering project on-site bidding intelligent management system and cloud management platform based on big data internet |
| CN113343850A (en) * | 2021-06-07 | 2021-09-03 | 广州市奥威亚电子科技有限公司 | Method, device, equipment and storage medium for checking video character information |
| CN113343850B (en) * | 2021-06-07 | 2022-08-16 | 广州市奥威亚电子科技有限公司 | Method, device, equipment and storage medium for checking video character information |
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