This paper is published in Volume-6, Issue-3, 2020
Area
Computer Engineering
Author
Raj Mhatre, Shashank Angane, Pallavi Vartak
Org/Univ
Viva Institute of Technology, Virar, Maharashtra, India
Pub. Date
27 May, 2020
Paper ID
V6I3-1334
Publisher
Keywords
Face Recognition, Face Detection, CNN, AFR, Deep Learning

Citationsacebook

IEEE
Raj Mhatre, Shashank Angane, Pallavi Vartak. Face recognition based attendance system, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Raj Mhatre, Shashank Angane, Pallavi Vartak (2020). Face recognition based attendance system. International Journal of Advance Research, Ideas and Innovations in Technology, 6(3) www.IJARIIT.com.

MLA
Raj Mhatre, Shashank Angane, Pallavi Vartak. "Face recognition based attendance system." International Journal of Advance Research, Ideas and Innovations in Technology 6.3 (2020). www.IJARIIT.com.

Abstract

In modern times, Automatic Face recognition (AFR) technologies have seen dramatic improvements in performance over the last few years. There are two reasons for this trend; the first is for saving the time in the classroom and accuracy in attendance will be maintained, and the second is availability of advanced technology it is more useful for the future generation. In simple words, it was a computer implementation for recognizing automatically whether the student is present in the classroom or not with the help of still image or video frame. We proposed an automatic attendance management system. It was completely based on face recognition and the face detection. This both detection and recognition will automatically detect the students in the classroom and mark the attendance by recognizing the person. This research includes for Face Detection of Students and system is based on CNN algorithms.
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