• Journal of the Korea Convergence Society
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• v.11 no.6
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• pp.29-36
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• 2020

As the Ministry of Education adds an item to evaluate whether a university strictly manages class time compliance and student attendance, the number of cases in which universities use electronic attendance systems is increasing. If you use the electronic attendance system, you can manage attendance and record management in real time. In this paper, I would like to suggest a solution to the prevention of cheating, which is a problem with the existing electronic attendance system. In this paper, automatic attendance is possible by automatic or correction. If the electronic attendance is performed manually, the BLE beacon service of the professor's smartphone is activated, and then the student's electronic attendance application is automatically executed using the push message service. When the student clicks the attendance check button and the beacon is found, attendance is processed. In the case of automatic processing, the beacon is automatically searched and attendance is handled even if the student is not involved. The proposed system automatically handles attendance even when the student does not recognize it, and has the advantage of preventing illegal attendance because it can reconfirm attendance at unspecified intervals.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.19-27
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• 2021

With the development of information and communication technology and the increasing use of smart devices, universities are using an electronic attendance-absence management system using smart devices to facilitate efficient attendance management. Currently, the electronic attendance-absence management system has the disadvantage of causing an error in attendance when the Wi-Fi connection is not well established because the student's smartphone independently conducts electronic attendance, and it is difficult to manage attendance because the real-time push message transmission function is excluded. In this paper, we propose an electronic attendance-absence management system to prevent irregular attendance, provide real-time attendance results, and solve delays in attendance processing due to Wi-Fi connection problems. The proposed system can prevent delays in attendance processing as a result of irregular attendance because the instructor's smartphone processes proposed system using the Bluetooth communication function of the instructor's smartphone and the students' smartphone. In addition, it has the advantage of being able to notice management result in real time with the push message server.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.394-397
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• 2018

휴대폰을 개인마다 보유할 정도로 보편화하고 무선 네트워크 기술이 발전하면서 대학가에서 출결관리를 자동화하려는 바람이 불고 있다. 이는 이전의 출결시스템의 결점인 출결 확인 시간을 줄이기 위한 것이다. 그러나 자동화된 스마트 출결시스템에 허점이 많아 출결 정보에 대한 신빙성과 공정성에 문제가 발생하고 있고, 그에 대한 대책이 없는 것이 현재 상황이다. 이번 연구는 얼굴인식을 이용한 스마트 출석 체크 프로그램이다. 수업에서 사진을 찍으면 AWS Recognition 기술을 활용해 얼굴을 인식하여 Django web sever로 보내고 그 얼굴과 학사 시스템에 등록되어있는 학생의 사진을 비교하여 어떤 인물인지 파악한다. 비교한 인물이 일정 유사율을 넘었을 경우 그 학생의 얼굴 사진을 학습, 계속해서 서버 안에 있는 같은 인물 파일에 넣어서 유사율을 높이는 식으로 진행된다. 그렇게 하여 스마트 출결시스템의 목적에 맞게 출결 확인 시간을 대폭 줄일 것이고, 부정적인 방법으로 출석할 수 있는 방법을 없애 기존의 시스템에 없던 신빙성과 공정성을 확립할 것이다. 또한, 어플리케이션을 통해 학생의 경우 언제 어디서든지 자신의 출결 상황을 확인할 수 있고, 교수님 또한 손쉽게 학생들의 출결을 관리할 수 있도록 하였다. 최종적으로 무결성이 확보된 정확한 출결 정보를 자동으로 데이터화하여 이용자와 관리자의 편의를 보장할 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.255-257
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• 2020

본 논문에서는 기존의 전자 출결을 위한 시스템들이 학생들의 스마트폰 사용을 기반으로 하고 있다는 문제들을 해결하기 위하여 사전등록을 통한 얼굴인식 인공지능을 활용한 전자 출결 관리 시스템인 <반달>을 소개한다. 본 논문에서는 얼굴인식 인공지능을 통한 식별 및 애플리케이션을 통한 출결 사항 확인과 수정기능을 포함하여 통합적인 출결 관리를 가능하게 하였다. 학생들 개개인 스마트폰의 소지를 필수로 요구하지 않아 제약이 적은 라즈베리파이와 데이터베이스를 사용한 설치형 출결 관리 시스템을 제안한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.255-256
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• 2013

현재 대부분의 대학에서 학생들의 출결(출석, 결석)사항관리는 수기로 처리하고 있다. 매 수업시간마다 수기로 작성해야하는 출석부는 통계분석이 실시간으로 이루어지지 않기 때문에 학생스스로도 본인의 출결관리의 번거로움이 있다. 본 논문에서는 출결관리의 간소화 및 투명화, 문서의 분실, 실시간 조회를 위한 안드로이드 스마트폰 기반의 학생 출결관리 시스템을 설계하였다.

• KIISE Transactions on Computing Practices
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• v.21 no.4
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• pp.283-289
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• 2015

We propose a low cost attendance checking system using NFC (Near Field Communication) and show a case study of an actual operation of the system in a higher education institute. The system offers a direct attendance check service when a student touches NFC tag on a classroom desk with his/her own smartphone. Our service was first developed and operated in 2012, and then additional functions like massive real time processing were reinforced. In the fall semester, 58 courses use the service and 96% of the class attendance was checked with mobile devices. The only hardware requirement of the system was NFC tag on the classroom desk, which reduced hardware cost dramatically. However, it also minimized attendance checking time into 1 minute regardless of enrolled student number.

• Journal of the Korea Society of Computer and Information
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• v.28 no.11
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• pp.103-111
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• 2023

Recently, many universities have used various electronic attendance systems such as NFC, QR code, Sound-QR, Bluetooth BLE authentication, and face recognition to process attendance. However, existing methods have various problems such as attendance errors due to deformation of authentication signals, mis-recognition attendance from outside the classroom, and difficulty to process seat absence during class. Therefore, this study proposes a high-frequency signal-based electronic attendance system to solve these problems and manage more accurate electronic attendance. As the high-frequency signal replaces the BLE signal, and the transmission range of the signal is limited to the classroom, and the signal value can be immediately changed if a change of the signal is needed. To verify the performance of the proposed system, we conducted a comparative experiment with the Bluetooth based electronic attendance system, and as a result, the proposed method showed high accuracy. Thus, the proposed method will be a useful service that can be immediately used in smart device-based electronic attendance system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.8
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• pp.1524-1530
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• 2016

Recently, research about an electronic attendance-absence recording system has been actively carried out using smart devices. Using an electronic attendance-absence recording system, professors can check their students' attendance on a real-time basis and manage their attendance records. In this paper, we proposed a real-time electronic attendance-absence recording system using face detection and face recognition based on web application. It can solve the spatial, temporal, cost issues belong to electronic attendance-absence recording system using AIDC(Automatic Identification and Data Capture). A proposed system is running on web server and made by HTML5(Hyper Text Markup Language ver.5). So professor connect to server using mobile web browser on mobile device and real-time manage electronic attendance-absence recording with real-time send or receive image data. In addition, the proposed system has an advantage capable of installation and operation, regardless of the operating system because it operates based on the Python flask framework.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.326-327
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• 2022

현행 전자출결 시스템은 강의실이 아닌 곳에서 지정된 숫자만 제공되면, 정당하지 않은 방법으로도 출석을 진행할 수 있다. 이런 맹점을 개선하기 위해 본 논문에서는 인증용 데이터를 텍스트가 아닌 음성 데이터를 이용한다. 본 논문에서 제안하는 SOUND-QR 인증 시스템은 음원을 전달할 때 특정 데이터가 포함된 음원을 잡음과 왜곡 환경에 강한 오디오로 변환하고 이러한 음원을 각 기기에서 입출력시 발생하는 특성 차이를 인증에 활용함으로써 현장에 있는 기기에서만 출결이 인정되도록 한다.

• Journal of the Institute of Convergence Signal Processing
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• v.19 no.4
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• pp.174-179
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• 2018

Currently, various security technologies such as fingerprint recognition and face recognition are being developed. However, although many technologies have been developed, the field of incorporating technologies is quite limited. In particular, it is easy to adapt modern security technologies into existing digital systems, but it is difficult to introduce new digital technologies in systems using analog systems. However, if the system can be widely used, it is worth replacing the analog system with the digital system. Therefore, the selected topic is the electronic attendance system. In this paper, a camera is installed to a door to perform a Haar-like feature training for face detecting and real-time face recognition with a Eigenface in principal component analysis(PCA) based face recognition using raspberry pi. The collected data was transmitted to the smartphone using wireless communication, and the application for the viewer who can receive and manage the information on the smartphone was completed.