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  • 标题:Digital Attendance System
  • 本地全文:下载
  • 作者:Somashekhar B M ; Akhila M ; Lavanya A
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2020
  • 卷号:2
  • 期号:1
  • 页码:350-356
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:The management of attendance can be great burden on the teachers if it is done by hand. To resolve these problems, smart and auto attendance management system is being utilized. But authentication plays a major role in this system. Generally the smart attendance system runs with the help of biometrics. Face recognition is the best biometric methods to improve this system being a prime feature of biometric verification. Facial recognition is being used enormously in several such applications, like video monitoring and CCTV footage system, an interaction between computer and humans and access systems present indoors and network security. By utilizing this framework, the problem of proxies and the students who are not physically present even being marked present can easily be solved. The main implementation steps used in the project is to detect the faces and to recognize the detected faces. In this project, we propose a framework that takes the participation of students for classroom lecture. The proposed system which takes the participation by naturally utilizing face detection and recognition. This participation is recorded by making use of a camera connected in front of the classroom which continuously captures the student’s image, detect the faces in the image and contrast the distinguished appearances of a student face with the database and mark the attendance. This project first audit the related works in the field of participation administration and face acknowledgment. The project generates the timetable automatically. This system helps in eliminating the tedious task of manually maintaining the attendance records by automating it. At the beginning of the semester, the administrator collects the details of students as well as the lecturers. Class list is generated automatically.
  • 关键词:Face Recognition;Face Detection;LBPH;Attendance update, Classification.
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