KR101710200B1 - Automatic Attendance System Using Face Recognition and method thereof - Google Patents
Automatic Attendance System Using Face Recognition and method thereof Download PDFInfo
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Abstract
Description
The present invention relates to an automatic attendance management system using face recognition, and more particularly, to a system and a method for automatic attendance management using face recognition, The data of the attendance is analyzed by the student's face by comparing the student photo data stored in the database, and the data of the attendance is stored in the server to automatically check the attendance, thereby preventing the substitute attendance, And more particularly, to an automatic attendance management system and method using facial recognition, which is used to confirm a company's commuting time and attendance status through face recognition instead of a key.
First, the face recognition system describes the domestic and overseas technology status.
1) In the case of foreign countries
As shown in FIG. 1B, in the case of Apple, the first attempt was made to lock the face recognition mobile phone not only to the fingerprint recognition on the iPhone, but also revealed a technique of locking the outline and face distribution of the face.
German computer scientist Saquib Sarfraz and Rainer Stiefelhagen (Karlsruhe Institute) recently analyzed infrared rays from people's faces in July 2015 and succeeded in infrared face recognition technology in a dark environment with little light.
FIG. 1C is a photograph of the infrared ray image of a person's face and photographing the infrared ray face recognition technology in a dark state with almost no light.
In Japan, nec company stores data about the employees inside the company, confirms the employees' time and attendance system, and confirms them directly from the central management system.
FIG. 1D is a photograph showing photographing data of employees inside the company in a database of the system to confirm the attendance system of the employees, and to confirm the function directly in the central management system.
2) In the case of domestic
There is an application called 'pudding' in a smartphone made by a domestic company. FIG. 2A is a photograph of an application that recognizes a face when a user executes a self-photograph or a face photograph on a smart phone and displays the face in% compared with the age, sex, and celebrity photos stored in the database.
2B is a photograph of a time attendance management terminal of a company using face recognition.
There is also a company called Suprema in Korea, which is a foreign company, and terminals related to the company's status are also being manufactured using face recognition. Here, time attendance management is a system that manages employee by storing time such as departure / departure and night time. In addition, employees can also use the input and receive additional functions such as cards.
The union community company also manages a security management module that allows the camera to be automatically registered in the database through facial recognition by adjusting the angle of the camera. In addition, the security management system provides a double security management system by providing additional fingerprint recognition.
FIG. 2c provides a security management module that automatically detects the face of the user by automatically adjusting the angle of the user at the entrance door to allow access only to persons registered in the database through face recognition, and also provides fingerprint recognition, A photo of a fingerprint recognition terminal with security management system.
The following describes the analysis and evaluation of the main technical items and the level of technology by process unit.
A) In the case of foreign countries
i) In Sogo Keibi Hosho, Japan, we developed a face recognition system to control the access of specific people by comparing the data and the photographed images in the database. When the image data obtained by imaging the data with the photographing apparatus includes the surface portion image data of a plurality of users.Solution, it is registered in the database, and the photographs are compared and authenticated. Where it calculates the user's location in the acquired data and causes the panel to activate the authentication based on the calculation result.
FIG. 3 is a system configuration diagram for controlling the access of a specific person by comparing the data and the photographed image in the database by performing face recognition in Sogo Keibi Hosho, Japan.
ii) In the United States, Intel developed a program called Opencv (Open Computer Vision), which can recognize not only faces but also objects, and also comprehensive image processing related to C language libraries. It can be used on various platforms such as Windows and Linux, and is a library focused on real-time image processing.
iii) Google in the United States is focused on image processing, just like Opencv, based on a library called Picasa. Among them, the face recognition part was developed in August 2006 and uses the feature point detection of photographs using Neven Vision. Here Neven (Hartmut Neven, Germany) is a scientist who studied quantum computers, computer vision, robotics, and computer neuroscience. Neven Vision studied the facial and object recognition at the time of Neven's research, using the feature point detection technique.
B) In the case of domestic
i) SK telecom studied Intergrated Image Search System (Therewith method), which is an image retrieval system for searching specific images (faces, objects). It is based on the feature point detection which is inputted through the PC terminal equipped with the webcam or smart phone and the input object image is classified into the code type in the object image and the decoder matching the target type is automatically driven to recognize and search Image recognition processing technology.
ii) Samsung has studied face detecting method and apparatus. Since it relates to a face recognizing method and apparatus for preventing the recognition rate of the face from being degraded due to contamination of the face characteristic information due to the illumination environment of the entire object, The process of searching the area and calculating the range of the distribution within the image, and the process of measuring the corresponding brightness and identifying the face accordingly. With this, the brightness of the image that can be obtained in a real environment is set as a face reference, thereby minimizing unnecessary or disturbing recognition.
4 is a block diagram of an ideal type search system using face recognition in a mobile communication company.
i) SK Telecom is developing an ideal type search using face recognition technology. This technology builds a face recognition server and an ideal search service server and provides not only a voice conversation wirelessly via a mobile communication network but also an ideal search service using a video call. The image is received wirelessly or wirelessly from the mobile communication terminal and the computer, and the part including at least one of the face area detection, the eye, the eyebrow, the nose, and the mouth is analyzed using the face recognition technology to automatically output the coronary information, Search. In other words, the user can easily find his or her ideal type by using his or her image information with his own photograph.
ii) The Institute of Electronics Engineers is studying a multi-frame based on-line face recognition system. This technique involves user authentication through face recognition. The face recognition client includes a preprocessing unit, a quantization unit, a compression unit, and a network interface unit for noise reduction, illumination compensation, data reduction, file compression, and image transmission. The facial image stored in the database is compared to determine whether or not to authenticate and a value is output. Here, a plurality of frames constituting a photograph are fetched and compared, and the conventional face recognition is recognized by using a plurality of frames.
A time and attendance management system related to face recognition is disclosed in Patent Publication No. 10-2013-0109777 of
The patent registration No. 10-1439348 of Prior Art 2 related thereto discloses "access control and attendance management system using face recognition ". The present invention relates to a method for detecting a face of a registered user by detecting a face by restoring an image captured by a non-contact type at a predetermined ratio and converting the image into an image such as a black and white plane relief, restoring the original image based on a face component, A face scan device for detecting iris of a registered user by detecting an iris by finding a boundary between a pupil and an iris having a sharp change in contrast and a color around the pupil having the darkest color of the iris image; An opening / closing device connected to the facial scanning device through a communication network to provide automatic / manual locking or opening when the door is closed according to whether the user is registered, or to activate an alarm upon abnormal use; A facial scan device, and an opening / closing device, which are connected to each other through a communication network to confirm the face of the registered user of the facial scan device, Management device; A remote door device for transmitting an image of an unregistered user photographed through the facial scanning device to a user terminal or an administrator terminal through the communication network to inquire whether a visitor is present and a locked state of the door to inquire whether the door is open or closed; And a database that is interlocked with the time attendance management device and the remote door device and stores user information necessary for time and attendance management or stores the status information of the visitor and provides the information to the user or the administrator. Accordingly, by recognizing the face and iris and providing access, it is possible to unify the ID card system for all the employees in the industry, provide the convenience of the use in the case of external access, provide efficient access control of the visitor and resident staff, And it is possible to grasp the exact number of each office, and moreover, it is possible to solve the problem of theft by providing reliability and convenience in management of the manager.
College students who take classes with expensive tuition will take classes on the subjects they have taken classes. The total number of classes per class is one hour and 15 minutes. It usually takes about 3 to 7 minutes to call attendance and check attendance. Even malicious substitute attendance is frequent, and there are students who do illegal hearing.
In the case of Facebook, the idea of face recognition is to automatically recognize faces when uploading photos, and to identify and tag the person. In addition, most smartphones are equipped with unlock function via face recognition.
However, there are not many devices or technologies using face recognition around the world. Also, the works we are trying to create are not in development yet.
In general, the attendance management system manages attendance using verbal, RFID card, biometrics, paper cards, and so on. The attendance management system using the RF card and the paper card has a problem in that it is troublesome to issue a card for each person who is going to attend, There is a disadvantage that it is inconvenient to do and it takes a lot of maintenance cost and it is possible to certify others.
Currently, most of the attendance systems use the RFID card tag method (the way students tag in the classroom), and there are several other methods.
In addition, the most important point in recognizing a face is that the front face of the face must be focused. The method of recognizing the face using the feature points of the face is to take the front face of the face.
A face shot at a different angle may cause the program not to recognize the face or an error. For example, in the case of a female student, there is a possibility that errors may occur if the makeup is thickened. In this case, the student who has made a mistake after he / she attends must directly object to the result of the interview.
SUMMARY OF THE INVENTION An object of the present invention to solve the problems of the prior art is to provide a U-shaped RFID tag that recognizes an RFID tag attached to a pass / student ID in a terminal provided in each classroom, Campus information server transmits terminal device ID, name / student number / tag information, face photograph, and visual information to database and saves student photo data stored in database in size and size of eye / eye / Nose / mouth facial feature points of the participating students to analyze the faces of the attendees and store the data of the attendance on the U-Campus information server to confirm the attendance automatically, thereby preventing substitute attendance, Face recognition, which is used to check the company's commuting time and attendance by face recognition instead of the card key, And to provide an automatic attendance management system.
Another object of the present invention is to provide an automatic attendance management method using face recognition which is particularly suitable for the system.
In order to achieve the object of the present invention, an automatic attendance management system using face recognition is provided with an RFID reader for recognizing an RFID tag attached to a pass, and when a name or a student number is input and a specific button is pressed, A facial recognition attendance management terminal having a communication unit for capturing and transmitting a terminal device ID, name or student number / tag information, face photograph, and time information to a server (U-Campus information server); And a facial image and time information from the facial recognition attendance management terminal via a wired / wireless communication network through a TCP / IP socket communication, and stores the student photograph data stored in the database of the server as a standard size Eye / nose / mouth facial feature points of size correction and angle-compensated facial photographs by analyzing facial features of participating students and storing the data of the attendance into the server again to confirm the attendance automatically. U- A computer having a Campus information server,
(Size / enlargement) and angle correction (movement and rotation of a face photograph) of a face photograph in a standard size at the time of recognizing the face of the photograph taken by the camera,
The angle correction is performed by obtaining the center points of the circular pupils of the eye in the eye region of the facial feature points on the basis of the standard size facial photographs, correcting the angles so that the midpoints of the distances between the two center points are matched, In addition,
If the face is not recognized from the U-Campus information server, the face recognition attendance management terminal outputs it to the LCD display unit and generates an alarm,
The facial recognition attendance management terminal further includes an RFID reader connected to the control unit for recognizing the 13.56 MHz RFID tag attached to the entrance and exit in case the photograph photographed with a different face recognition angle is not authenticated, do.
In order to achieve the other object of the present invention, an automatic attendance management method using face recognition is a method in which an RFID tag attached to a pass is recognized by an RFID reader included in a face recognition attendance management terminal provided for each classroom, Capturing a front face photograph with a camera and temporarily storing it in a memory when a specific button is pressed; The U-Campus information server 100 transmits the terminal device ID, name or student ID / RFID tag, face photograph, and time information from the face recognition attendance management terminal through the wired / wireless communication network (Internet, WLAN, Wi-Fi) And storing it in a database; The U-Campus information server inquires the server DB with the classroom terminal device ID, name or student ID / RFID tag to confirm whether or not the attendance of the attendee is enrolled, and loading the stored facial photographs; (Reduction / enlargement) of the face photograph in the standard size and angle correction (face / face enlargement / enlargement) of the face photograph in the standard size by detecting the face area of the face photograph photographed through Face Recognition of the attendee based on the name, Moving and rotating a photograph); The angle correction is performed by obtaining the center points of the circular pupils of the eye in the eye region of the facial feature points on the basis of the standard size facial photographs, correcting the angles so that the midpoints of the distances between the two center points are matched, Detecting facial feature points of the forehead, eyes, nose, and mouth of a face image of which a standard size and an angle are corrected, and obtaining a feature value therefor; The face value of the standard size stored in the server database is compared with the feature value of the feature point of the photographed face photograph according to the feature value of the facial feature point, and the attendance management unit (attendance management system of U-Campus information server) Checking and storing it in a database; When the face photograph taken by the face recognition attendance management terminal is authenticated as face recognition from the U-Campus information server, the door opens and closes in conjunction with the door opening / closing device, and if the face is not recognized from the U- Outputting the face recognition attendance management terminal to the LCD display unit and generating an alarm; Recognizing the 13.56 MHz RFID tag attached to the entrance and exit by the RFID reader connected to the control unit in case the photo taken by the face recognition attendance management unit is not authenticated by the face recognition attendance management terminal; And the attendance management system of the U-Campus information server to provide teaching attendance / lecturer / teacher attendance information to each lecture room / student by a web-based client server method.
The Automatic Attendance System using face recognition according to the present invention recognizes the RFID tag attached to the pass / student ID at the terminal provided for each classroom at the start of class, inputs the name or student number, And transmits the terminal device ID, name / student number / tag information, face photograph, and time information to the U-Campus information server and stores it in the database. The student photograph data previously stored in the database is subjected to size correction The feature values of the forehead / eye / nose / mouth facial features of the angle-corrected face photographs are compared to analyze the faces of the students attending. The data of the attendance is stored in the U-Campus information server and confirmed automatically. To prevent substitute attendance, to identify illegal audiences, to withdraw from the company through face recognition instead of card key There is an effect that is used to confirm the current state.
The automatic attendance management system and method through facial recognition can reduce unnecessary attendance call time before classes, can not attend attendance attendance, can identify the persons who are making illegal auditions, Lt; / RTI >
The facial recognition attendance management system will greatly reduce the time required to check attendance in a large lecture from a narrow viewpoint. This will enable you to use classroom time more effectively and add additional benefits. If you use 5 minutes for each lesson, you will save about 150 (5 minutes x30 lessons = 150 minutes) for one semester. In addition, the complete prevention of substitute attendance will enable fair scores to be given in attendance-related sector assessments.
The existing attendance management system managed attendance using shoes, RFID card, biometrics, paper card, etc. However, attendance management system through face recognition photo / image automatically judges attendance or not, Since the function is equipped, no additional equipment is required. In addition, it can be used in parallel with the RFID card attached to the pass to reduce errors in face recognition. The face is recognized from the image captured by the camera, and the presence or absence of the face is determined by comparing the recognized information with the face image information stored in the database and the face feature value.
Face recognition technology is a promising technology from a wide perspective, and it will be used as a way to more products with an immense idea of biometrics. For example, in case of criminal arrest - movie 'Mission Impossible', CCTV compares the face of criminals with data and catches the data. It is possible to confirm with face recognition, not the ones.
Attendance system through facial recognition can be a great help for people who need to manage attendance of professors and teachers of many schools. By shortening the time to check the attendance, the efficiency of the lesson can be improved and the benefit of preventing surrogate attendance is obtained. I think that there will be a lot of interest and demand if the development of the technology of face recognition is still immature and people are not yet familiar with it, and if this work is developed and commercialized. Furthermore, the face recognition system will be useful not only in the attendance system but also in various directions such as arresting criminals through face recognition.
The face recognition system will help the police to judge a person by judging a person 's criminal record, personal information when they patrol with these devices even when they keep policing or patrol. Likewise, it can be easily used to find a criminal or a specific person in a control center by recognizing a face on the basis of a photographed image through CCTV.
1A is a photograph of a camera circuit of a terminal.
FIG. 1B is a photograph showing a screen for locking a face by detecting a face contour and a face distribution, and providing a face recognition mobile phone locking function in a smartphone.
FIG. 1C is a photograph of the infrared ray image of a person's face and photographing the infrared ray face recognition technology in a dark state with almost no light.
FIG. 1D is a photograph showing photographing data of employees inside the company in a database of the system to confirm the attendance system of the employees, and to confirm the function directly in the central management system.
FIG. 2A illustrates a case where when a user executes a pudding application made by a domestic company after a user takes a self photo or a face photograph on a smart phone, the face is recognized and displayed in terms of age, sex, It is a picture of the application.
2B is a photograph of a company time and attendance management terminal using face recognition.
FIG. 2c provides a security management module that allows the user to access only registered persons in the database through face recognition by automatically detecting the user's angle by adjusting the angle of the camera automatically at the door, A photo of a fingerprint recognition terminal with security management system.
FIG. 3 is a system configuration diagram for controlling the access of a specific person by comparing the data and the photographed image in the database by performing face recognition in Sogo Keibi Hosho, Japan.
4 is a block diagram of an ideal type search system using face recognition in a mobile communication company.
FIG. 5 is a conceptual diagram of an automatic attendance management system using face recognition including a face recognition client and a server according to the present invention.
6 is a block diagram of an automatic attendance management system using face recognition including a face recognition client and a server.
7 is a flowchart illustrating an automatic attendance management method using face recognition including a face recognition client and a server according to an embodiment of the present invention.
Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.
FIG. 5 is a conceptual diagram of an automatic attendance management system using face recognition including a face recognition client and a server according to the present invention.
The Automatic Attendance System using Face Recognition according to the present invention recognizes the RFID tag attached to the pass / student ID in a terminal provided in each classroom, inputs a name or a student number, and if a specific button is pressed, And transmits the terminal device ID, name / student number / tag information, face photograph, and time information to the U-Campus information server and stores it in the database. The student photograph data previously stored in the database is subjected to size correction The feature values of the forehead / eye / nose / mouth facial features of the angle-corrected face photographs are compared to analyze the faces of the students attending. The data of the attendance is stored in the U-Campus information server and confirmed automatically. It prevents the substitute attendance, grasps the illegal audiences, and allows the company to commute by face recognition It is used to OK.
The Automatic Attendance System using Face Recognition is an automatic attendance confirmation system using facial recognition which is widely used at home and abroad. Currently, face recognition has been developed and used. However, it is possible to recognize a lot of faces at once instead of one-to-one matching as in the case of domestic and foreign cases, and to reduce unnecessary check-in time at universities and seminars.
The automatic attendance management system using facial recognition is low in installation and maintenance costs and can be implemented immediately when the U-Campus information server and cctv are linked with Kwangwoon University. In addition, I have checked with the patent information search service (Kipris). There are similar T & A systems, but they can also be seen as different. The other is the Automatic Attendance System, which assumes that the class time is 1 hour and 15 minutes. You can check the attendance by setting the first, the middle, and the last. It is also possible to monitor real-time by shooting video, not video. In addition, the existing facial recognition time and attendance system terminal is very expensive (average of Naver Knowledge Shopping is about 1,400,000 won), whereas the attendance management system is used with the DVR server connected with CCTV and the server managing the attendance, It is possible.
Go, Strategy
In order to develop a facial recognition access management system, we made a proposal for a preliminary capstone design, and then, using the Rasberry Pi, photographed and compressed source code, OpenCV (Open Computer Vision), facial recognition source code using Python, Build a recognition server and implement a database.
The main technology of attendance management system is face recognition. This technology is currently shared with many open sources, and it analyzes the header file of the open source to understand the principle of the function, builds the existing open source and basic server and database about face recognition, And improved the performance by gradually building a server and database that are easy to manage facial recognition accuracy and a lot of data.
As shown in FIG. 1A, an attendance management terminal having a built-in camera circuit of a terminal is developed.
6 is a block diagram of an automatic attendance management system using face recognition including a face recognition client and a server.
The automatic attendance management system using face recognition is provided with an RFID reader for recognizing the RFID tag attached to the pass / student ID, and when a name or a student number is input and a specific button is pressed, A facial recognition
The angle correction is performed by obtaining the center points of the circular pupil in the eye region of the facial feature point based on the face image of the standard size, correcting the angles such that the midpoint of the distance between the two center points is matched and the center point of the mouth of the length size is matched .
The face recognition
The face recognition
The camera uses a CMOS image sensor or a Rasberry Pi camera.
The face recognition
The face recognition
The face recognition
When facial photographs taken by the camera are authenticated as facial recognition from the U-Campus information server, the facial recognition attendance management terminal is connected to the facial recognition attendance management terminal through short-range wireless communication (Bluetooth or ZigBee) or a cable. (Not shown).
The face recognition
The
The U-Campus information server 20 includes a communication unit 21 having one of the Internet, a wireless LAN (WLAN), and a Wi-Fi (Wi-Fi) A control unit (22) for controlling each function for facial recognition attendance management; And a storage unit 23 for receiving and storing the terminal device ID, photographed face photograph and time information, name or student ID / RFID tag information through the TCP / IP socket communication from the face recognition attendance management terminal through wired / wireless communication A picture restoration unit 24 for restoring the compression of the photographed face photograph; Eye photographer data stored in the database of the server on the basis of the name or the student number / or the RFID tag information and the photographs of the photographed face photographs are corrected to standard size and the features of the forehead / eyes / nose / A face recognizing unit 25 for recognizing the face of the attendees by comparing the values and confirming whether or not the participants are present; Face Recognition DB (26) storing facial photographs of the first authenticated standard size of the students enrolled by course subject, the photographs being stored; Attendance management unit (27) for managing attendance information of attendees who are enrolled by instruction / instructor / teacher; And a student DB 28 in which enrollment application student information is stored.
The face recognition algorithm can be applied to various face recognition algorithms.
For example, feature-based face recognition has a detection method using a haar-like feature and a detection method using a MCT (Modified Census Transform) image in a terminal. Eye / eye / nose / mouth are detected using face and eye detectors learned from the Haar-like feature in the input image of the terminal camera, and the ROI, Region of (Histogram) of the eye image using a statistical threshold value obtained by experiments in which the pupil and eye outline regions are extracted from the eye region, Binarization of the image of the eye is performed and histogram equalization is performed to perform preprocessing of the image of the eye region, and in the detected face region, the forehead, eye, , Nose, and mouth, and extracts texture features and shape features. The feature values of the eye, nose, and mouth of the face region are represented by the difference between the sum of the pixels included in the white region of the Haar-like feature and the sum of the pixels included in the black region. For example, the distance between the right and left eye points in the eye region detected in the standard size face region photograph, the size of the iris extracted using the hough circle transform algorithm is characterized Used as a value.
7 is a flowchart illustrating an automatic attendance management method using face recognition including a face recognition client and a server according to an embodiment of the present invention.
An automatic attendance management method using a face recognition client having a face recognition client and a server can recognize an RFID tag attached to a pass or a student ID by an RFID reader included in a face recognition attendance management terminal 10 provided for each classroom, (S10) of photographing a front face photograph with a camera and temporarily storing the photograph in a memory when a specific button is pressed; The terminal device ID, the name or student ID / RFID tag, the face photograph, and the time information from the face recognition attendance management terminal 10 via the wired / wireless communication network (Internet, WLAN, Wi-Fi) (S20) of transmitting the data to the Campus information server (20) and storing the data in the database; The step S30 of the U-Campus information server 20 inquiring the server DB with the classroom terminal device ID, the name or the student ID / RFID tag, confirming whether or not the enrollee is enrolled in the enrollment, and loading the stored facial photographs; (Reduction / enlargement) of the face photograph in the standard size and angle correction (face / face enlargement / enlargement) of the face photograph in the standard size by detecting the face area of the face photograph photographed through Face Recognition of the attendee based on the name, (Step S40); The angle correction is performed by obtaining the center points of the circular pupils of the eye in the eye region of the facial feature points on the basis of the standard size facial photographs, correcting the angles so that the midpoints of the distances between the two center points are matched, (S50) of detecting a face feature point of a forehead, eye, nose, and mouth of a face image having a standard size and an angle corrected, and obtaining a feature value thereof to calculate a histogram of feature points; The feature value of the feature point of the standard face image stored in the server database is compared with the feature value of the feature point of the taken face image in accordance with the feature value of the facial feature point (S60), and the attendance management unit Confirming the arrival and storing it in the database (S70); And the attendance management system of the U-Campus information server to provide teaching attendance / lecturer / teacher attendance information to each lecture room / student by a web-based client server method.
When the face photograph taken by the face recognition attendance management terminal is authenticated as a facial recognition from the U-Campus information server, the method opens and closes the door by interlocking with the door opening / closing device, The face recognition attendance management terminal outputs the result to the LCD display unit and generates an alarm.
The method further includes reflecting the attendance information of the students using the face recognition on the U-Campus information server to the grades of the subject.
I. Promotion of new technology development
In general, attendance management systems manage attendance using verbal, RF cards, biometrics, and paper cards.
The attendance management system using the RF card and the paper card has a problem in that it is troublesome to issue a card for each person who is going to attend, There is a disadvantage that it is inconvenient to do and it takes a lot of maintenance cost and it is possible to certify others. However, since attendance management system through video not only judges attendance automatically, but also can not be authenticated by other people, additional equipment is unnecessary since it has image shooting function. The face is recognized in the photographed image and it is decided whether or not to attend by matching the recognized information with the information in the database.
All. Utilization plan
I) Enterpriseization
Through this idea, companies can build up the time and attendance system of the company which was troublesome and can design and produce products to be used in various fields by applying them.
ii) Technology Transfer
When police patrol the police with these devices during policing or patrol, they will help judge someone by looking at a person's criminal record, personal information. Likewise, it can be easily used to find a criminal or a specific person in a control center by recognizing a face based on a photographed image through CCTV.
As described above, the method of the present invention can be implemented as a program and recorded on a recording medium (CD-ROM, RAM, ROM, memory card, hard disk, magneto-optical disk, storage device, etc.) Lt; / RTI >
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is clearly understood that the same is by way of illustration and example only and is not to be taken in conjunction with the present invention. The present invention can be variously modified or modified.
10: face recognition attendance management terminal 11: camera
12: camera section 13: image processing section
14: photo compression unit 15:
16: key input unit 17: memory
18: RFID reader 19:
20: U-Campus information server 21:
22: control unit 23:
24: picture restoration part 25: face recognition part
26: face recognition DB 27: attendance management unit
28: Student DB
Claims (12)
The facial recognition attendance management terminal receives the terminal device ID, name or student number / tag information, facial photograph, and time information through the TCP / IP socket communication through the wired / wireless communication network and stores the student photograph data stored in the database of the server in a standard size The U-Campus, which compares the feature values of the forehead / eye / nose / mouth facial features of the size correction and angle-corrected face photographs to analyze attendee's face, A computer having an information server,
(Size / enlargement) and angle correction (movement and rotation of a face photograph) of a face photograph in a standard size at the time of recognizing a face of the photograph taken by the camera,
The angle correction is performed by obtaining the center points of the circular pupils of the eye in the eye region of the facial feature points on the basis of the standard size facial photographs, correcting the angles so that the midpoints of the distances between the two center points are matched, In addition,
If the face is not recognized from the U-Campus information server, the face recognition attendance management terminal outputs it to the LCD display unit and generates an alarm,
The facial recognition attendance management terminal further includes an RFID reader connected to the control unit for recognizing the 13.56 MHz RFID tag attached to the entrance and exit in case the photograph photographed with a different face recognition angle is not authenticated, Automatic attendance management system using face recognition.
The face recognition attendance management terminal
Wherein the U-Campus information server is connected to the U-Campus information server through a wired connection via the Internet or via a wireless LAN (WLAN) or a Wi-Fi (Wi-Fi).
The face recognition attendance management terminal
A camera for photographing a specific button when the face is faced to the front and the button is pressed;
A camera unit connected to the camera;
An image processing unit for processing an image of a photographed face photograph;
A photograph compressing unit compressing the photograph in a specific file format of the photographed face photograph;
A controller for controlling each function for facial recognition and compression, key input and RFID tag recognition, and transmission to the U-Campus information server;
A key input unit having buttons for inputting a specific button and a name or a student number;
A memory connected to the control unit for temporarily storing photographed face photographs, time information, name or student ID / RFID tag information;
A communication unit having any one of the Internet, a wireless LAN (WLAN), and a Wi-Fi;
An alarm generating unit connected to the control unit and generating an alarm if the photographed face photograph is not recognized; And
An RFID reader connected to the control unit and recognizing a 13.56 MHz RFID tag attached to the pass;
An automatic attendance management system using face recognition.
The face recognition attendance management terminal
And an LCD display unit connected to the control unit and configured to output a face recognition message.
The U-Campus information server builds Linux-based web server, WAS (Web Application Server) and database, uses Linux-based TCP / IP socket communication module, and uses OpenCV, Python, Is used as the face recognition information.
The U-Campus information server
A communication unit having one of the Internet, a wireless LAN (WLAN), and a Wi-Fi (Wi-Fi); A controller for controlling each function for facial recognition attendance management; And a storage unit for receiving and storing the terminal device ID, photographed face photograph and time information, name or student ID / RFID tag information through the TCP / IP socket communication through the wired / wireless communication from the face recognition attendance management terminal,
A photographic restoration unit for restoring the photographed face photographs;
The student photograph data previously stored in the database of the server based on the name or the student number / or the RFID tag information and the photographed face photograph are converted into a standard size and corrected to the size of the forehead / eyes / nose / A facial recognition unit for comparing the feature values and recognizing the faces of the attendees and confirming whether or not the participants are present;
Face Recognition DB with photographs of first authenticated standard sized face photographs of students who take courses by subject;
An attendance management unit for managing the attendance information of the attendants requested by the instructor / lecturer / teacher; And
Student DB with enrollment student information;
An automatic attendance management system using face recognition.
And a face opening / closing device connected to the face recognition attendance management terminal via short-range wireless communication or a wired cable, the face opening / closing device opening / closing the door when the face photograph taken by the camera is authenticated as face recognition from the U- Automatic attendance management system using recognition.
The U-Campus information server 100 transmits the terminal device ID, name or student ID / RFID tag, face photograph, and time information from the face recognition attendance management terminal through the wired / wireless communication network (Internet, WLAN, Wi-Fi) And storing it in a database;
The U-Campus information server inquires the server DB with the classroom terminal device ID, name or student ID / RFID tag to confirm whether or not the attendance of the attendee is enrolled, and loading the stored facial photographs;
(Reduction / enlargement) of the face photograph and the angle correction (face photograph) of the face photograph in the standard size by detecting the face area of the face photograph photographed through face recognition of the attendee based on the name / Moving, rotating) of the object;
The angle correction is performed by obtaining the center points of the circular pupils of the eye in the eye region of the facial feature points on the basis of the standard size facial photographs, correcting the angles so that the midpoints of the distances between the two center points are matched, Detecting facial feature points of the forehead, eyes, nose, and mouth of a face image of which a standard size and an angle are corrected, and obtaining a feature value therefor;
The face value of the standard size stored in the server database is compared with the feature value of the feature point of the photographed face photograph according to the feature value of the facial feature point, and the attendance management unit (attendance management system of U-Campus information server) Checking and storing it in a database;
When the face photograph taken by the face recognition attendance management terminal is authenticated as face recognition from the U-Campus information server, the door opens and closes in conjunction with the door opening / closing device, and if the face is not recognized from the U- Outputting the face recognition attendance management terminal to the LCD display unit and generating an alarm;
Recognizing the 13.56 MHz RFID tag attached to the entrance and exit by the RFID reader connected to the control unit in case the photo taken by the face recognition attendance management unit is not authenticated by the face recognition attendance management terminal; And
Providing attendance information of students by classroom to instructors / lecturers / teachers by Web-based client server system by attendance management system of U-Campus information server;
The method comprising the steps of:
Wherein the U-Campus information server further includes a step of reflecting the attendance information of the students using the face recognition on the grades of the subject courses.
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