Student Monitoring System

Authors

  • Yashkumar Bhadja Department of Computer Science and Engineering, Parul Institute of Technology, Vadodara, India
  • Ishangi Chauhan Department of Computer Science and Engineering, Parul Institute of Technology, Vadodara, India
  • Jayraj Jani Department of Computer Science and Engineering, Parul Institute of Technology, Vadodara, India
  • Prince Kamani Department of Computer Science and Engineering, Parul Institute of Technology, Vadodara, India
  • Payal Desai Department of Computer Science and Engineering, Parul Institute of Technology, Vadodara, India

Keywords:

Face detection, Face recognition

Abstract

Automatic face recognition (AFR) technologies have brought improvements in the changing world. Automatic Attendance using Real-Time Face Recognition is a solution which comes with day to day activities of handling student attendance. Face recognition-based attendance system is a process of recognizing the students face for taking attendance by using face biometrics based on monitor video and other information technology. In our face recognition project, a computer system will be able to find and recognize human faces quickly and accurately in images or videos that are being captured through a surveillance camera. A lot of algorithms and techniques have been developed for improving the performance of face recognition. It helps in conversion of the frames from the video into images so that it is easy to recognize face of the student for their attendance and the attendance database can be easily reflected automatically.

 

Downloads

Published

07-03-2021

How to Cite

[1]
Y. Bhadja, I. Chauhan, J. Jani, P. Kamani, and P. Desai, “Student Monitoring System”, IJRAMT, vol. 2, no. 2, pp. 62–64, Mar. 2021.

Issue

Section

Articles