JP7321578B2 - online learning system - Google Patents

Description

TECHNICAL FIELD The present invention relates to an online learning system via the Internet or the like, and more particularly to a system capable of assuring that a student himself/herself has certainly completed a course (item) to be attended.

In recent years, so-called e-learning, in which real-time delivered or recorded lectures are taught online via the Internet or the like, has been widely used. In such online learning, in order to prevent spoofing by someone other than the student, the face image of the student is registered in advance. A system is known that confirms that the student is taking the course by comparing the face image of the student with the face image of the student. However, there are some cases where a student tries to take a class illegally by placing a paper with a registered face image printed in front of the camera of the student terminal and leaving the student's seat. In order to prevent such unauthorized attendance, a system using a biometric sensor to confirm whether the user (student) is physically present in front of the user device (student terminal) is patented It is disclosed in Document 1.

Japanese Patent Publication No. 2018-511890

According to the technology described in Patent Document 1, whether or not the student is present in front of the student terminal is confirmed by detecting heart rate data, etc. from the biometric sensor during the online course. It is possible to prevent illegal attendance such as leaving the printed matter of the face photo and leaving the seat. However, the system described in Patent Literature 1 requires a biometric sensor on the student terminal side, which is costly.

Therefore, in view of the above problems, it is an object of the present invention to provide an online learning system that can detect fraudulent attendance using a printout of a face photograph without using a special device such as a biometric sensor.

In order to achieve the above objects, the online learning system of the present invention
An online learning system accessible from a student terminal,
a distribution control unit that receives distribution requests from student terminals and distributes online learning materials;
an authentication processing unit that performs face authentication of the student during delivery of the online teaching material based on the face image captured by the student terminal;
In the authentication processing unit, if failures in face authentication of the student continue beyond a predetermined condition during distribution of the online teaching material, the student is deemed to have not completed the course of the online teaching material. with a management department,
The authentication processing unit performs face authentication of a student based on a comparison between an image within a range defined by a recognition frame in an image captured by the student terminal and an authentication image,
The authentication images include a master image registered for login authentication to the online learning system, an image captured by the student terminal when logging in to the online learning system, and the It is an image that includes at least two types of images previously captured by the student terminal.

According to the present invention, the authentication images for performing face authentication are a master image registered for login authentication to the online learning system and an image captured by the student terminal when logging into the online learning system. and an image previously taken by the student terminal during the delivery of the online teaching material. It is possible to more effectively prevent fraudulent attendance using Such an online learning system can be used, for example, for academic training for obtaining a driver's license, training for taking various qualification tests, and the like.

1 is a block diagram showing a schematic configuration of an online learning system according to one embodiment; FIG. It is a block diagram which shows schematic structure of a driving school server. 2 is a block diagram showing a schematic configuration of a student terminal; FIG. FIG. 4 is a schematic diagram showing an example of a login screen displayed on a student terminal; It is a schematic diagram which shows an example of the imaging|photography screen displayed on a student terminal. It is a schematic diagram which shows an example of the imaging|photography screen displayed on a student terminal. It is a schematic diagram which shows an example of the imaging|photography screen displayed on a student terminal. FIG. 4 is a schematic diagram showing an example of a viewing screen of a lecture video displayed on a student terminal (personal computer or the like); FIG. 10 is an example of a viewing screen of a lecture video, and is a schematic diagram showing an example in which the face of a student is correctly arranged in a recognition frame. FIG. 10 is an example of a viewing screen of a lecture video, and is a schematic diagram showing an example in which the face of a student is not correctly arranged in a recognition frame. It is a schematic diagram which shows the application example of the image for authentication.

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. The same or corresponding parts in the drawings are denoted by the same reference numerals, and the description thereof will not be repeated.

FIG. 1 is a schematic diagram showing a schematic configuration of an online learning system 100 according to the present embodiment, and a connection relationship between a student terminal and a driving school server. The online learning system 100 disclosed here delivers, via the Internet 10, academic training essential for obtaining a driver's license.

As shown in FIG. 1, the online learning system 100 is connected to student terminals 301a, 301b, 301c, . . . and driving school servers 201a, 201b, 201c, . Henceforth, when it is not necessary to distinguish and explain each of the student terminals, they are simply referred to as "student terminal 301". Likewise, the driving school server is simply referred to as "driving school server 201" unless it is necessary to distinguish between them. A student terminal 301 is a terminal used by a student who receives subject training using the online learning system 100 . As the student terminal 301, any terminal such as a personal computer, a tablet, or a smart phone can be used as long as the terminal is connectable to the Internet 10 and can use a web browser. The driving school server 201 is a server of each "designated driving school" designated by the Public Safety Commission of each prefecture based on the Road Traffic Law.

The academic training provided by the online learning system 100 (hereinafter referred to as "Web academic training") is based on three criteria that the designated driving school must meet ((1) personal criteria, (2) physical criteria, (3) operating standards).

First, with regard to (1) personnel criteria, the Web academic training delivered by the online learning system 100 is a recorded video of a lecture given by a training instructor who has been reviewed by the Public Safety Commission. In addition, questions and answers with students are handled by the instructor of the driving school that each student attends, that is, the instructor assigned under the manager (responsible person) of each driving school.

With regard to the physical criteria of (2), the Web academic training by the online learning system 100 incorporates a face recognition system, which will be described later. It is possible to prevent this and manage attendance status. A student who uses the Web subject training is issued a login ID and a password for accessing the online learning system 100 for the Web subject training at each driving school. While the student is taking the Web department training online, by performing face recognition in the background at a certain period of time or at random timing, it is possible to perform identity verification and attendance management. If you cannot verify your identity by face recognition during the course, you will automatically return to the beginning of the lecture. Through this system, we maintain the same level of quality as the on-the-job training that is conventionally conducted in classrooms at driving schools. It is possible to provide a rigorous learning environment.

Regarding the operation standard of (3), the content of the Web academic training by the online learning system 100 is provided in accordance with the training course (training time and training content) stipulated by law, similar to the practical training in the classroom of the driving school. It is a thing. Note that the student may take all the items of the academic training in the Web academic training, or may take part of it in the classroom of the driving school. For example, when a student goes to a driving school to take a driving skill lesson, the student can take the academic lesson using free time or the like. In the online learning system 100, the items taken in the driving school and the items taken in the Web subject training are combined and managed (details will be described later).

The configuration and operation of the online learning system 100 will be described below. As shown in FIG. 1, the online learning system 100 includes a lecture data storage unit 11, a learning progress management unit 12, a student management unit 13, an authentication processing unit 14, a distribution control unit 15, and a communication unit 16. The lecture data storage unit 11 is implemented as a storage device such as a hard disk. The attendance progress management unit 12, the student management unit 13, the authentication processing unit 14, the distribution control unit 15, and the communication unit 16 are implemented by a processor of a server or computer. Each of these units may be realized by one computer and its peripheral device, or may be realized by a plurality of computers and peripheral devices.

The lecture data storage unit 11 stores moving image data of lectures given by instructors at each driving school as the contents of the Web subject training. The attendance progress management unit 12 stores the attendance history of each student (which item of the academic lesson has been completed). The attendance progress management unit 12 further cooperates with the authentication processing unit 14 to manage how far the students have viewed the lecture video during playback. The student management unit 13 manages login processing and the like from students. The authentication processing unit 14 confirms the identity of the student and confirms the progress during the reproduction of the lecture video. The distribution control unit 15 controls distribution of lecture videos. The communication unit 16 communicates with the student terminal 301 and the driving school server 201 via the Internet 10 .

The driving school server 201 is a server that manages students in each driving school. The driving school server 201 may be installed in each driving school, or may be provided as a cloud server accessible by each driving school. The driving school server 201 includes a student data storage unit 21, a progress data management unit 22, a reservation management unit 23, and a communication unit 26, as shown in FIG. The student data storage unit 21 stores basic information such as name, address, telephone number, e-mail address, date of birth, etc. of each student who attends the driving school, as well as the progress of each of the academic lessons and skill lessons. It stores progress data representing performance, performance, and the like. A login ID and password for using the Web academic training are issued to a student who has applied for the Web academic training, and the information on these items is also stored in the student data storage unit 21 . In addition, in order to take Web department training, it is necessary to register a face image for personal identification during the course. In a driving school, a face image for face authentication is photographed for a student who has applied for the use of Web subject learning, and the photographed face image is stored in the student data storage unit 21 as a login master image. The progress data reception unit 22 receives information each time a student completes an item of academic training and skill training, and manages the information as progress data of the training. The reservation management unit 23 manages reservations from students for practical academic training and technical training at the driving school. The communication unit 26 controls communication with the student terminal 301 and the online learning system 100 .

FIG. 3 is a block diagram showing the configuration of the student terminal 301. As shown in FIG. As shown in FIG. 3, the student terminal 301 includes a moving image reproducing section 31, an operating section 32, a camera 33, a display 34, and a communication section . The moving image reproducing unit 31 is implemented by a web browser. The operation unit 32 is implemented by, for example, a touch panel integrated with the display 34, and receives input from the student. The camera 33 is a camera built into the student terminal 301, and is configured as a so-called in-camera to capture an image of the student while the student is looking at the display . The communication unit 36 controls communication with the online learning system 100 and the driving school server 201 .

After receiving the issuance of the login ID and password for the web subject training, the student at the driving school can take the web subject training by logging into the online learning system 100 from his or her student terminal 301 . The login ID and password given to the student by the driving school are stored in the student data storage unit 21 of the driving school server 201 of the driving school, and are sent from the driving school server 201 to the online learning system 100 to be sent to the student management unit 13. is stored in accessible memory. Further, as described above, the login master image stored in the student data storage unit 21 of the driving school server 201 is also sent to the online learning system 100 together with the login ID and password, and stored in a memory accessible by the student management unit 13. be done.

In the following, identity verification during a course in the online learning system 100 will be described. As described above, a student (student) at a driving school can log in to the online learning system 100 by entering a login ID and a password given by the driving school and using face authentication.

FIG. 4 shows an example of a login screen. The URL of the login screen is notified from the driving school to the students by URL or QR code (registered trademark). FIG. 4 is a schematic diagram showing an example of a login screen displayed on the student terminal 301. As shown in FIG. As shown in FIG. 4, input fields 51a and 51b for a login ID and a password are displayed on the login screen. When the student enters the login ID and password and touches the "Next" button 51c thereunder, the entered login ID and password are sent to the online learning system 100. FIG. When the student management unit 13 confirms that the login ID and password match those registered in advance, according to instructions from the student management unit 13, the screen of the student terminal 301 changes to the photographing screen shown in FIG. transition to

On the picture taking screen shown in FIG. 5, a message "Please face the front" is displayed, and an image taken by the camera of the student terminal 301 is displayed in the image display frame 61a. When the student confirms the image in the image display frame 61a and presses the photographing button 61b, the photographed image is sent to the student managing section 13 and stored. After the frontal face image is captured in this way, a message "Please look slightly to the right" is displayed as shown in FIG. It is displayed within the image display frame 61a. When the student confirms the image in the image display frame 61a and presses the photographing button 61b, the photographed image is sent to the student managing section 13 and stored. Next, as shown in FIG. 7, a message "Please look slightly to the left" is displayed, and an image captured by the camera of the student terminal 301 is displayed within the image display frame 61a. When the student confirms the image in the image display frame 61a and presses the photographing button 61b, the photographed image is sent to the student managing section 13 and stored. In this way, in addition to the facial image from the front, by photographing the facial image with the student looking slightly to the left or slightly to the right, the student himself/herself was present and the facial image was taken. is guaranteed. For example, in the student management unit 13, some feature points are extracted from an image taken with the student facing the front, and changes in the position of the feature points in the image taken with the student facing left or right (or By detecting a change in the shape of the figure connecting the feature points, it is possible to determine whether or not the object to be photographed is a three-dimensional object. As a result, for example, it is possible to prevent unauthorized login authentication using a printed matter (two-dimensional image) of a face image taken in advance.

In FIGS. 5 to 7, an example in which the front, left, and right images are captured is shown, but a slightly upward or slightly downward image may be added. Also, the orientation of the face to be photographed other than the front may be changed randomly each time the user logs in. Also, here, the student presses the shooting button 61b to take a picture, but the picture may be taken automatically at a predetermined timing after the screen is switched.

As described above, when the student's face image is photographed at the time of login, the student management unit 13 compares the photographed image with the pre-registered master image for login, and determines whether or not the person is a registered student. When the login is approved, the student can select a desired lecture from the lecture list displayed on the student terminal 301 . When a lecture is selected by a student, a distribution request is sent from student terminal 301 to online learning system 100 .

In the online learning system 100 , the communication unit 16 receives a lecture video distribution request from the student terminal 301 and passes the request to the distribution control unit 15 . The distribution request includes the student's login ID and the item number specifying the lecture desired to be distributed. The distribution control unit 15 makes an inquiry to the student management unit 13 to confirm whether or not the login ID included in the received distribution request is a legitimately issued login ID. If the login ID is correct, the distribution control unit 15 extracts the lecture video of the item number requested for distribution from the lecture data storage unit 11 and distributes it to the student terminal 301 via the communication unit 16 and the Internet 10 .

FIG. 8 is an example of a display screen of a lecture video distributed to the student terminal 301. As shown in FIG. FIG. 8 shows an example of a display screen when the student terminal 301 has a relatively large display such as a personal computer or a tablet. An example of the display screen of the lecture video when the display is small like a smartphone will be described later. As shown in FIG. 8, on the display screen of the lecture video, a display field 54d for the item number and title of the lecture being delivered and a lecture status field 54e are displayed. In the example of FIG. 8, since the student has taken the item number 1-1 "Driver's Knowledge" for the first time, "not attended" is displayed in the attendance status column 54e. The lecture video is displayed in the lecture display window 54a. In the example of FIG. 8, a sign language interpretation video is displayed on the upper left of the lecture display window 54a. Japanese subtitles are displayed at the bottom of the lecture display window 54a. By displaying a sign language interpretation video and Japanese subtitles at the same time as the lecture video, even hearing-impaired students can fully understand the contents of the lecture. Note that the subtitle language may be selectable from languages other than Japanese. Below the lecture display window 54a, there is displayed an operation window 54b for controlling playback pause, resumption, etc., and for displaying the current playback point. Further below, as course information 54c, the title of the textbook used in the course, the number of pages to be referred to, outline information of the course, and the like are displayed.

An authentication window 54f is displayed on the right side of the lecture display window 54a. In the authentication window 54f, an image captured by the camera 33 built in the student terminal 301 is displayed as a moving image or frame-by-frame still image. The authentication window 54f indicates the range captured by the camera 33. FIG. A recognition frame 54g is displayed in the authentication window 54f. A recognition frame 54g represents an area of the image photographed by the camera 33 and displayed in the authentication window 54f, which is to be matched with the face image registered in the online learning system 100. FIG. Therefore, it is necessary for the student to watch the lecture moving image so that his or her face is within the recognition frame 54g.

The authentication processing unit 14 samples (captures) the image within the recognition frame 54g at regular time intervals, and performs matching with the authentication image. The authentication image used for matching will be described later in detail. If the matching results match, the authentication processing unit 14 determines that the student himself/herself is attending the lecture, and sends information on the matching time to the learning progress management unit 12 . Based on the time information received from the authentication processing unit 14, the learning progress management unit 12 determines that the course has been taken from the start of the video playback to the point at which it can be confirmed that the student himself/herself has attended the course. For example, when the authentication processing unit 14 performs matching every 10 seconds, the authentication processing unit 14 will update the points of the lecture completed in the video being listened to every 10 seconds.

For example, as shown in FIG. 9, if the student's own face is within the recognition frame 54g, there is a high probability that the student himself/herself is attending the lecture as a result of matching by the authentication processing unit 14. . On the other hand, even if the student's face is within the recognition frame 54g, if the student is not the actual student, the captured face image is different from the authentication image, and there is a high probability that the personal authentication will fail. Further, as shown in FIG. 10, even if the student is the person himself/herself, for example, as a result of falling asleep and looking down, if the face is not within the recognition frame 54g, the person authentication fails. Also, when the student is away from the student's seat, the identity authentication fails because the face is not within the recognition frame 54g. The authentication processing unit 14 determines whether the course has been correctly completed when the user authentication failure occurs more than a predetermined number of times during the lecture of one item, or when the user authentication failure occurs continuously more than a predetermined number of times. It is judged that it is not. In that case, the attendance progress management unit 12 marks the item that was being attended as "unattended" even if the attendance has progressed to the middle or the end, and the item must be taken again from the beginning of the lecture. . Alternatively, it is assumed that it is necessary to retake the lecture from the time when the last authentication succeeds. It should be noted that, when the failure of personal authentication occurs more than a predetermined number of times while attending a lecture of one item, or when the failure of personal authentication occurs continuously more than a predetermined number of times, the distribution control unit You may make it stop the delivery of.

When the student concentrates on the lecture, it is relatively easy to maintain the posture so that the face is within the recognition frame 54g. In addition, since the recognition frame 54g is displayed right next to the lecture display window 54a, the student can check whether or not the face is within the recognition frame 54g while looking at the lecture display window 54a. is not difficult. Therefore, according to the online learning system 100, it is possible to easily and reliably determine whether or not the student who is listening to the distributed video is the person himself/herself. This makes it possible to provide a learning environment equivalent to that of taking classes in a classroom at a driving school and guarantee learning results even if the subject training is taken online. In addition, by performing face authentication in the background based on the images taken by the camera 33 provided in the student terminal 301 during the playback of the lecture video, for example, the student can voluntarily and intentionally Compared to conventional systems that require operations (e.g., pressing a pop-up presence confirmation button, answering questions, biometric authentication, etc.), facial recognition does not hinder viewing of lecture videos. Therefore, the concentration of the student in the lecture is not reduced.

By being able to take academic lessons online in this way, there are no restrictions on the time and place of taking lessons, and it is possible for students to take academic lessons according to their own convenience, which is very convenient for students. For example, it is convenient for students who go to work or school during the day or who want to take lessons from areas with different time zones while on an overseas business trip, because they can take academic lessons at any time, 24 hours a day. Driving schools also benefit from the fact that they do not need to secure large venues for academic lessons.

In the above example, the identity authentication is performed at regular time intervals (for example, every 10 seconds), but the timing of performing the identity authentication may be set randomly. In this case, since the student cannot predict the timing at which the personal authentication is performed, it is possible to more reliably prevent fraud such as impersonation.

In addition, in order to prevent students from leaving their seats by leaving their photograph of their face in front of the camera of the student terminal 301, in the online learning system 100, multiple types of authentication images are randomly generated each time the person is authenticated during the course. It is characterized in that it is used by switching to The facial images used as authentication images are (A) the login master image taken when issuing the login ID and password, (B) the facial image taken at the time of login, and (C) the face image taken during the course. At least two types of face images.

Here, as an example, FIG. 11 shows a procedure for personal authentication using the above three types of authentication images (A) to (C). In the example of FIG. 11, at the time of the first personal authentication after the start of the lecture, the student terminal 301 captures an image C1, and the authentication processing unit 14 compares the captured image C1 with the login master image A. . Note that the photographed image C1 is stored in the student management unit 13 so as to be used later as an image for identity authentication. For the second time, the image C2 is photographed, and the authentication processing unit 14 compares this with the photographed image B at the time of login to perform personal authentication. At the third time, the image C3 is photographed, and the authentication processing unit 14 compares the photographed image C1 stored in the student managing unit 13 with the photographed image C1 stored in the student management unit 13 as an authentication image, thereby performing personal authentication. In the following, authentication images are randomly selected from three types (A) to (C) and used.

In this way, by using the image (B) taken at the time of login on the day of the course or the image (C) taken during the course as authentication images, a printout of the face image can be captured by the camera of the student terminal 301. It is possible to effectively prevent illegal attendance such as leaving the seat in front of the student.

In the above example, three types of images (A) to (C) are used as images for authentication. It is possible to obtain the effect of preventing illegal attendance using printed materials.

In particular, when the images of (B) and (C) above are used as images for authentication, the background portion of the person in the image is also included in the comparison target, thereby improving the effect of preventing fraudulent attendance using printed materials. . For example, if the presence or absence of an object such as a clock included in the background shown in Figures 5 to 7 changes, or if the background color tone or brightness changes beyond a predetermined range, the student himself/herself Instead, it can be inferred that a print of the face image was placed in front of the camera. In addition, if the background changes significantly, it can be assumed that the student is taking the course in an environment unsuitable for concentrated learning, such as taking the course using a smartphone while walking or taking the course while traveling by train. In such cases, the effectiveness of online learning can be ensured by not accepting the completion of the course.

Furthermore, by observing the images (C) taken during the course in chronological order and calculating the change rate of the shape of the polygon formed by connecting the facial feature points in the facial image, It is possible to determine whether it is the original object (student's own face) or a printed matter (two-dimensional image) of a facial photograph. As a result, it is possible to detect fraudulent attendance using a printout of a face image.

Moreover, even if the student himself/herself attends the class, there are cases where the student attends the class while doing other things (for example, playing games or applying makeup) without concentrating on the lecture. It is also desirable to provide a mechanism capable of detecting such inappropriate attitudes toward attendance. In such cases, (1) the student's line of sight is not facing the display, (2) the camera is far from the face, or (3) the face is facing the display. Common features such as not being suitable can be seen.

Therefore, for example, in case (1) above, the authentication processing unit 14 detects the direction (line of sight) in which the student is looking from the image captured during the course using the line of sight detection technology. Various methods are known as line-of-sight detection technology. A student's line of sight can be detected based on the movement of the dynamic point with respect to the reference point. Note that the line-of-sight detection method is not limited to this. Then, for example, the line of sight detected during the lecture exceeds a predetermined angle and is far away from the line of sight detected at the time of login or when clicking a button or the like on the display to start the lecture. In this case, it can be determined that the student's line of sight is not directed toward the display. If it is detected that the student's line of sight is not facing the display more than a predetermined number of times in a row, or if it is detected for more than a predetermined period of time, it is an inappropriate course. , the information is sent from the authentication processing unit 14 to the attendance progress management unit 12 . The attendance progress management unit 12 marks the item that was being attended as "unattended" even if the attendance has progressed to the middle or the end, and must retake the item from the beginning of the lecture. Alternatively, it is assumed that it is necessary to attend the lecture again from the time when the last authentication succeeds. It should be noted that when inappropriate attendance is detected a predetermined number of times or more during the course of attending a lecture for one item, or when inappropriate attendance is continuously detected a predetermined number of times or more, the distribution control unit 15 You may make it stop the delivery of.

In case (2) above, the authentication processing unit 14 detects the face of the student from the image taken during the course, and calculates the ratio of the area occupied by the face to the entire image. Good luck. Then, for example, when the calculated area ratio is less than a predetermined value, it can be determined that the student is doing something else without concentrating on the lecture, which is inappropriate attendance.

Further, in the case of (3) above, the authentication processing unit 14 detects the position coordinates of a plurality of feature points on the face of the student from the image taken during the course, and detects the position coordinates of the feature points. The orientation of the face can be detected according to the change in . It should be noted that the face orientation determination method is not limited to this method. Then, for example, the orientation of the face detected during the lecture is a predetermined angle relative to the orientation of the face detected at the time of login, the orientation of the face when clicking a button on the display to start the lecture, etc. , it can be determined that the student's face is not facing the display. If it is detected that the student's face is not facing the display more than a predetermined number of times in succession, or if it is detected for more than a predetermined period of time, it is considered an inappropriate course. , the information is sent from the authentication processing unit 14 to the attendance progress management unit 12 .

Incidentally, the above (1) to (3) detection of inappropriate attendance may be carried out by only one of them, or may be carried out by combining two or three (or randomly).

In addition, the student's face temporarily deviates from the recognition frame 54g due to the student's posture being significantly changed, and after the face cannot be recognized, the face enters the recognition frame 54g again. In such a case, it is desirable to instruct the student to move his/her face left/right or up/down in the same manner as during login to confirm that the face within the recognition frame 54g is not a two-dimensional image. As a result, it is possible to effectively prevent a student from taking a class illegally, leaving the two-dimensional image behind.

[Modification]
The specific examples illustrated in the above embodiments are merely examples, and are not intended to limit the embodiments of the present invention.

For example, in the above-described embodiment, the student terminal 301 has a built-in camera (in-camera) as the camera 33, but the camera for photographing the student during the course is not limited to the built-in camera. An external camera that is used by being connected to the student terminal 301 may be used.

In the above embodiment, the photographed face image is stored and used for authentication, but instead of using the face image itself, feature data is extracted from the photographed face image and used for verification. can be

In the above embodiment, an example has been described in which academic training for obtaining a driver's license is used as online learning content. However, the content of online learning is not limited to this, and the present invention can be applied to various online lectures that require strict attendance management. Contents for online learning are not limited to moving images, and may be still image teaching materials such as texts and problem sets (drills). Furthermore, the online learning content may be recorded or delivered in real time.

In the above embodiments, an example of implementing the online learning system 100, which is an example of the present invention, as one or more computers and their peripheral devices, that is, as hardware has been described. However, the present invention can also be implemented as a program for causing one or a plurality of computers or the like to execute the functions of the online learning system 100 or as a recording medium storing the program.

The present invention can also be explained as follows.

[First configuration]
The online learning system according to the first configuration is
An online learning system accessible from a student terminal,
a distribution control unit that receives distribution requests from student terminals and distributes online learning materials;
an authentication processing unit that performs face authentication of the student during delivery of the online teaching material based on the face image captured by the student terminal;
In the authentication processing unit, if failures in face authentication of the student continue beyond a predetermined condition during distribution of the online teaching material, the student is deemed to have not completed the course of the online teaching material. with a management department,
The authentication processing unit performs face authentication of a student based on a comparison between an image within a range defined by a recognition frame in an image captured by the student terminal and an authentication image,
The authentication images include a master image registered for login authentication to the online learning system, an image captured by the student terminal when logging in to the online learning system, and the It is an image that includes at least two types of images previously captured by the student terminal.

According to the first configuration, face authentication is performed in the background during delivery of online teaching materials on the student terminal, and if failure of face authentication of the student continues beyond a predetermined condition, Attendance of online teaching materials is considered incomplete. As a result, it is possible to prevent fraud and impersonation and manage the attendance status even in online learning at a level equal to or higher than that of face-to-face on-the-job training. Further, authentication images for performing face authentication are a master image registered for login authentication to the online learning system, an image taken by the student terminal when logging in to the online learning system, and an online teaching material. By including at least two types of the image taken earlier by the student terminal during the delivery of the above, compared to the case where there is only one type of authentication image, fraudulent use of printed matter of face images taken in advance It becomes difficult to attend classes. As a result, unauthorized attendance can be effectively prevented.

[Second configuration]
The online learning system according to the second configuration, in the first configuration,
The authentication images include a master image registered for login authentication to the online learning system, an image captured by the student terminal when logging in to the online learning system, and the It is randomly selected from images including at least two kinds of images previously photographed by the student terminal.

According to the second configuration, by randomly selecting an authentication image each time authentication is performed, it is possible to effectively prevent fraudulent acts in anticipation of an authentication image to be used for face authentication.

[Third configuration]
The online learning system according to the third configuration, in the first or second configuration,
The authentication processing unit compares the background portion of the person in the image captured by the student terminal and the background portion of the person in the image within the recognition frame with the background portion of the person in the authentication image. determine the success or failure of face recognition.

According to the third configuration, by using the background portion of the person for authentication, it is possible to effectively prevent unauthorized taking of a course using a printed matter of a photograph taken in advance.

[Fourth configuration]
In the online learning system according to the first to third configurations, the authentication processing unit may determine inappropriate attendance by detecting the direction of the student's line of sight from the image taken by the student terminal. good.

[Fifth Configuration]
In the online learning system according to the first to fourth configurations, the authentication processing unit determines inappropriate attendance by detecting the ratio of the face part of the student in the image taken by the student terminal. It is good as

[Sixth configuration]
In the online learning system according to the first to fifth configurations, the authentication processing unit determines inappropriate attendance by detecting the orientation of the face of the student in the image taken by the student terminal. Also good.

The invention disclosed herein can be implemented as a program executed by a processor of a computer accessible from a student terminal, or as a recording medium recording the program.

DESCRIPTION OF SYMBOLS 100... Online learning system 11... Lecture data storage part 12... Attendance progress management part 13... Student management part 14... Authentication process part 15... Distribution control part 16... Communication part 301... Student terminal, 201 Driving school server

Claims (8)

An online learning system accessible from a student terminal,
a distribution control unit that receives distribution requests from student terminals and distributes online learning materials;
an authentication processing unit that performs face authentication of the student during delivery of the online teaching material based on the face image captured by the student terminal;
In the authentication processing unit, if failures in face authentication of the student continue beyond a predetermined condition during distribution of the online teaching material, the student is deemed to have not completed the course of the online teaching material. with a management department,
The authentication processing unit performs face authentication of a student based on a comparison between an image within a range defined by a recognition frame in an image captured by the student terminal and an authentication image,
The authentication images include a master image registered for login authentication to the online learning system, an image captured by the student terminal when logging in to the online learning system, and the including at least two of the images previously taken on the student terminal,
The authentication images include a master image registered for login authentication to the online learning system, an image captured by the student terminal when logging in to the online learning system, and the An online learning system in which images are randomly selected from images including at least two kinds of images previously taken by a student terminal . An online learning system accessible from a student terminal,
a distribution control unit that receives distribution requests from student terminals and distributes online learning materials;
an authentication processing unit that performs face authentication of the student during delivery of the online teaching material based on the face image captured by the student terminal;
In the authentication processing unit, if failures in face authentication of the student continue beyond a predetermined condition during distribution of the online teaching material, the student is deemed to have not completed the course of the online teaching material. with a management department,
The authentication processing unit performs face authentication of a student based on a comparison between an image within a range defined by a recognition frame in an image captured by the student terminal and an authentication image,
The authentication images include a master image registered for login authentication to the online learning system, an image captured by the student terminal when logging in to the online learning system, and the including at least two of the images previously taken on the student terminal,
The authentication processing unit compares the background portion of the person in the image captured by the student terminal and the background portion of the person in the image within the recognition frame with the background portion of the person in the authentication image. An online learning system that determines the success or failure of facial recognition. 3. The online learning system according to claim 1 or 2, wherein said authentication processing unit determines inappropriate attendance by detecting a student's line-of-sight direction from an image captured by said student terminal. 4. The online system according to any one of claims 1 to 3 , wherein said authentication processing unit judges inappropriate attendance by detecting the proportion of the student's face in the image taken by said student terminal. learning system. The online learning according to any one of claims 1 to 4 , wherein the authentication processing unit determines inappropriate attendance by detecting the orientation of the student's face in the image taken by the student terminal. system. A program executed by a processor of a computer of an online learning system accessible from a student terminal,
to the processor of said computer;
a distribution process for receiving a distribution request from a student terminal and distributing online learning materials;
an authentication process for performing face authentication of the student during distribution of the online teaching material based on the face image captured by the student terminal;
In the authentication process, if failures in face authentication of the student continue beyond a predetermined condition during the delivery of the online teaching material, the learning progress management that the student has not completed the learning of the online teaching material. to process and
The authentication process performs face authentication of the student based on a comparison between an image within a range defined by a recognition frame in the image captured by the student terminal and an authentication image,
The authentication images include a master image registered for login authentication to the online learning system, an image captured by the student terminal when logging in to the online learning system, and the An image that includes at least two of the images previously taken by the student terminal ,
The authentication images include a master image registered for login authentication to the online learning system, an image captured by the student terminal when logging in to the online learning system, and the A program that is randomly selected from images including at least two types of images previously taken by the student terminal. A program executed by a processor of a computer of an online learning system accessible from a student terminal,
to the processor of said computer;
a distribution process for receiving a distribution request from a student terminal and distributing online learning materials;
an authentication process for performing face authentication of the student during distribution of the online teaching material based on the face image captured by the student terminal;
In the authentication process, if failures in face authentication of the student continue beyond a predetermined condition during the delivery of the online teaching material, the learning progress management that the student has not completed the learning of the online teaching material. to process and
The authentication process performs face authentication of the student based on a comparison between an image within a range defined by a recognition frame in the image captured by the student terminal and an authentication image,
The authentication images include a master image registered for login authentication to the online learning system, an image captured by the student terminal when logging in to the online learning system, and the An image that includes at least two of the images previously taken by the student terminal,
The authentication process is performed by comparing the background portion of the person in the image captured by the student terminal within the range defined by the recognition frame with the background portion of the person in the authentication image. A program that determines the success or failure of face recognition. A computer-readable recording medium recording the program according to claim 6 or 7 .

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