KR20070050029A - Teleeducation attendance authentication method - Google Patents

Abstract

The present invention relates to a distance learning attendance authentication method, and more specifically, a member (trainee) receives a class or test when accessing an online school server through a terminal (computer) of a remote site, and a steel cut containing the state of the member. Or by sending a still cut after requesting a member to take a specific action to the server to save the data, and further comparing it with the member's registration information (face data) by verifying whether the member is actually taking a class or taking an exam The present invention relates to a remote education attendance authentication method that prevents proxy attendance or poor attendance of a member (trainee) and effectively uses resources of an online school server.

Online University, Cyber University, Distance Education, Attendance, Examination, Surrogate Attendance

Description

TELEEDUCATION ATTENDANCE AUTHENTICATION METHOD}

1 is a system schematic diagram in one embodiment according to the present invention;

Figure 2 is a flow diagram illustrating one embodiment according to the present invention.

*** Explanation of main parts of drawing ***

10. Server 11. Member DB 12. Class Content DB

13. Still Cut DB 14. Biological Information DB 16. Member Recognition Module

17. Class module 18. Specific action request module 19. Steel cut capture module

20. Biological information collection module 30. Network 40. Terminal

The present invention relates to a distance learning attendance authentication method, and more specifically, a member (trainee) receives a class or test when accessing an online school server through a terminal (computer) of a remote site, and a steel cut containing the state of the member. Or by sending a still cut after requesting a member to take a specific action to the server to store the data, and further comparing it with the member's registration information (face data) to verify whether the member is actually taking a class or taking an exam. The present invention relates to a remote education attendance authentication method that prevents proxy attendance or poor attendance of a member (trainee) and effectively uses resources of an online school server.

Korean Unexamined Patent Publication No. 2001-0074143 (Application No. 10-2001-0017240) discloses a method for confirming attendance of a cyber school using the Internet.

However, the above-described prior art uses the fingerprint or the iris to check attendance before and after the start of the class, so that attendance only before and after the start of the class has been a problem that all of the classes have been recognized. There was a problem that the cost of the device for collecting the cost is difficult to be realized.

The present invention is to solve the problems of the prior art as described above, when the member (trainee) is connected to the online school server through a remote terminal (computer) to take lessons or take a test, the steel cut containing the appearance of the member Or by sending a still cut after requesting a member to take a specific action to the server to save the data, and further comparing it with the member's registration information (face data) by verifying whether the member is actually taking a class or taking an exam The purpose of this study is to prevent surrogate attendance or poor attendance of members (trainees), and to provide a remote education attendance authentication method that can effectively use the resources of an online school server.

The distance learning attendance authentication method according to the present invention includes a member recognition step of recognizing that a client is a member by taking a predetermined action on a terminal; Capturing a still cut at least once using a camera connected to the terminal before or during class; And a still cut storage step of storing the still cut captured in the capturing step in a server.

It is preferable to have a specific action request step of requesting a specific action to a logged-in member before the still cut capture step.

The specific behavior is preferably to raise any one or both of the right hand, left hand.

After the steel cut capturing step, it is preferable to have a motion detect step of detecting a difference between the one steel cut and the other steel cut, and if the difference is detected.

It is preferable to have a comparison step of comparing the still cut stored in the steel cut storage step with the face information of the member information stored in the server.

The member recognition step may recognize any one or two or more of the student ID, fingerprint, iris to any one or more of the student ID recognition device, fingerprint recognition device, iris recognition device connected to the terminal, the student ID, fingerprint, iris Preferably, one or more information is compared with the member information stored in the server to recognize the member.

Here, the "class" includes various classes, exams, and the like to be taken by trainees in online schools (cyber colleges, online colleges, cyber schools, remote universities, etc.). Hereinafter, it is used the same in this specification.

Hereinafter, with reference to the drawings will be described in detail. However, these drawings are for illustrative purposes only and the present invention is not limited thereto.

1 is a system schematic diagram in one embodiment according to the present invention.

Referring to Figure 1, the distance learning attendance authentication system according to the present invention, the server 10, the network 30, the terminal 40 is composed of.

The server 10 includes a member DB 11, a class content DB 12, a still cut DB 13, a biometric information DB 14, a member recognition module 16, a class module 17, and a specific action request module. 18, the steel cut capture module 19, and comprises a biological information collection module 20.

The member DB 11 stores various kinds of information of members. The various information includes ID, password, personal information, date of enrollment, grade, course information, credit information, face, fingerprint or iris information.

The member DB 11 may be divided into a separate DB for each type of information as necessary.

The class contents DB 12 stores contents suitable for various academic calendars such as video lectures, text lectures, and test files such as classes and tests.

The steel cut DB 13 stores a steel cut taken from a remote terminal by a member (student) during the course or test.

The biometric information DB 14 stores biometric information such as fingerprints, iris information, etc. collected from a remote terminal by a member (attendee) before, during, or during a lecture.

The member recognition module 16 performs a function of recognizing that a client connected from the remote terminal 40 is a specific member.

The member recognition by the member recognition module 16 may be performed by comparing the student ID recognized by the student ID recognition device (not shown) installed in the terminal 40 and the information stored in the member DB 11. Member recognition by using a method such as a member recognition by comparing the fingerprint or iris of the member recognized by the fingerprint or iris recognition device (not shown) installed in the terminal 40 with the information stored in the member DB (11) Perform member recognition.

Member recognition by the member recognition module 16 may be performed by any one or more of login, student identification, iris recognition, fingerprint recognition.

The iris or fingerprint collected at the time of member recognition by the member recognition module 16 is stored in the biometric information DB 14.

The student identification, iris recognition, fingerprint recognition, etc. may be performed to determine whether the member is properly receiving the class during the class.

The class module 17 transmits and displays the class contents of the class contents DB 12 to the corresponding terminal 40 at the member's request, thereby allowing the member to take classes or exams.

The specific action request module 18 requests a specific action from the member during the class or test in order to determine whether the member takes the class or the test properly. A specific action request can be made in a variety of ways, such as "take your right hand", "take your left hand", "take both hands", close your right eye ", and" open your mouth. "

When requesting a specific action by the specific action request module 18, it is preferable to stop the distance education by the lesson module 17 for a while.

After requesting a specific action by the specific action request module 18, the still cut capture module 19 is operated to photograph the member with a still cut camera (or a normal web camera) mounted on the terminal 40. Then, after receiving a still cut of a part of the image of the member is photographed and stored in the still cut DB (13). It is desirable to capture a still cut after a predetermined time (a sufficient time for a member to take a specific action) after the request for a specific action.

The steel cut capture module 19 is not operated only after a specific action request by the specific action request module 18. That is, the steel cut capture module 19 operates the camera (not shown) mounted on the terminal 40 as needed to photograph the member's appearance, and extracts and receives the steel cut from the photographed member's appearance. Stored in the still cut DB (13).

The server 10 may use a separate face recognition algorithm to compare the still cuts stored in the still cut DB 13 with the faces of the members stored in the member DB 11 to check whether they are the same.

The biological information collection module 20 collects fingerprint or iris information incidentally or independently of the operation of the member recognition module 16 and stores the fingerprint or iris information in the biological information DB 14. Collection of biometric information is one of the member recognition methods by the member recognition module 16. Collection of biometric information by the biometric information collection module 20 operates a fingerprint recognition device or an iris recognition device mounted on the terminal 40, and contacts a member to recognize the fingerprint or eye on the fingerprint recognition device or the iris recognition device. Get fingerprints or irises. When taking biometric information such as fingerprints or irises during class or test, it is preferable to pause the class or test.

The member DB 11, the class contents DB 12, the still cut DB 13, and the biometric information DB 14 may be integrated into one DB or separated into multiple DBs as necessary.

The server 10 may further include DBs for various information such as academic information in addition to the DBs.

The server 10 may be configured as a distributed server system distributed to a plurality of servers as needed.

2 is a flowchart illustrating an embodiment according to the present invention.

Referring to Figure 2, the remote learning attendance authentication method according to the present invention, login step 100, biometric information collection step 200, biometric information comparison step 300, class or test step 400, specific action request step 500, a steel cut capture and storage step 600, and a steel cut comparison step 700.

The login step 100 is a step in which a member accesses a remote education or online test system and logs in through a terminal (40 in FIG. 1). Login can be a variety of methods, such as entering a typical ID and password, student ID and password, how to enter the ID and student ID and password. In addition, the student ID can be inserted into the student ID recognition device connected to the terminal (40 in Figure 1) or scraped to recognize the login. Recognition of the student card can be recognized using a variety of recognition methods, such as conventional contact, contactless.

The biometric information collection step 200 allows the fingerprint and iris to be recognized in the fingerprint recognition device, the iris recognition device, and the like connected to the terminal 40 of FIG. 1. The collection of biometric information is performed to supplement the log in or to check whether the member actually takes the class during the class.

The biometric information comparing step 300 compares the biometric information collected in the biometric information collecting step 200 with the biometric information stored in the member DB (11 of FIG. 1) and checks whether the corresponding member is a corresponding member.

The biometric information collecting step 200 and the biometric information comparing step 300 may be omitted.

If it is confirmed that the membership in the log-in step 100 or the biometric information comparison step 300, the class (test) is performed by transmitting and displaying the class contents (including the test) to the terminal (40 of FIG. 1).

The biometric information collecting step 200 and the biometric information comparing step 300 may be performed even after the lesson or test step 400.

The specific action request step 500 requests the member to perform a specific action while a class or test is in progress. Specific actions may be requested to raise the right hand and / or left hand.

The still cut and storage step 600 is a step of capturing and storing a still cut in a state in which a specific action is requested. The still cut is preferably stored and transmitted after a predetermined time (a time enough for a member to take a specific action) has elapsed after the specific action is requested. If necessary, you can capture and save more than one steel cut.

Still cut capture and storage step 600 may be performed even without performing the specific action request step (500).

It is preferable that the camera mounted on the terminal 40 of FIG. 1 continues to operate and be displayed on the monitor of the terminal 40 of FIG.

Still cut capture and storage step 600 is performed from time to time while the member is taking a lesson, the specific action request step 500 is preferably limited to less than once per class.

Still cut comparison step 700, the class (test) is performed by comparing the still cut stored in the capture and storage step 600 with the member's face information stored in the server (10 in Figure 1) as member information Check if the person you are is a member. Still cut comparison step 700 may be performed using any conventional face recognition algorithm.

Still cut comparison step 700 may be omitted because a face recognition algorithm is required. Since participants will be stored in the server at the time of attendance is taken on a regular basis, it will be difficult to take away from the course or take away, substitute attendance, surrogate test, etc. Can be secured.

The still cut comparison step 700 may be regarded as a motion detect step capable of detecting a motion by detecting a difference from another still cut previously stored after the still cut capture and storage step 600. It is possible to check the presence or absence of members by Motion Detect. If no steelcut movement is detected, the member may be considered to be away. The motion detection step may be performed in the terminal 40 (FIG. 1) or the server (10 in FIG. 1).

As described above, according to the present invention, it is possible to prevent surrogate attendance, surrogate exams, or poor attendance of members (trainees), to efficiently use the resources of the online school's servers, and to use expensive web cameras for general computers. There is an effect that does not have to be equipped with the equipment.

Claims (7)

In the distance learning attendance authentication method, A member recognition step of recognizing that the client is a member by taking a predetermined action on the terminal; Capturing a still cut at least once using a camera connected to the terminal before or during class; Remote cut attendance authentication method having a steel cut storage step of storing the steel cut captured in the capturing step in the server. The method of claim 1, Before the steel cut capture step, Remote action attendance authentication method having a; specific action request step of requesting a specific action to the logged in member. The method of claim 2, The specific action, the distance learning attendance authentication method characterized in that to lift one or two of the right hand, left hand. The method of claim 1, After the steel cut capture step, And detecting a difference between the one steel cut and the other steel cut, and storing the difference if the difference is detected. 2. The method according to any one of claims 1 to 4, And comparing the still cut stored in the still cut storing step with face information among member information stored in the server. The method according to any one of claims 1 to 4, The member recognition step, Recognize any one or two or more of the student ID, fingerprint, iris to any one or more of the student ID recognition device, fingerprint recognition device, iris recognition device connected to the terminal, Distance learning attendance authentication method, characterized in that to recognize the membership by comparing any one or more information of the student ID, fingerprint, iris with the member information stored in the server. The method of claim 5, The member recognition step, Recognize any one or two or more of the student ID, fingerprint, iris to any one or more of the student ID recognition device, fingerprint recognition device, iris recognition device connected to the terminal, Distance learning attendance authentication method, characterized in that to recognize the membership by comparing any one or more information of the student ID, fingerprint, iris with the member information stored in the server.

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