Automatic Attendance System Using Deep Learning

9 Pages Posted: 12 Jun 2019

See all articles by Sunil Aryal

Sunil Aryal

Chandigarh University, Apex Institute of Technology, Students

Rachhpal Singh

Khalsa College

Arnav Sood

Chandigarh University - Apex Institute of Technology

Gaurav Thapa

Chandigarh University - Apex Institute of Technology

Date Written: March 14, 2019

Abstract

In this paper, novel automatic attendance system is proposed by using machine learning and deep learning algorithms. Real-time face recognition algorithms are used and integrated with existing University management system which detects and recognize faces of students in real time while attending lectures. This new proposed system for automatic attendance system aims to be less time consuming in comparison to the existing system of marking the attendance. The designed system does not interrupt class in any manner. Therefore, it saves potential time of students as well as of teachers. From the experiment analysis it is found that the accuracy of proposed system is 97%. Hence proposed system doesn’t require any rectification and verification from teachers.

Keywords: Facial recognition, Machine learning, Computer vision, Attendance

Suggested Citation

Aryal, Sunil and Singh, Rachhpal and Sood, Arnav and Thapa, Gaurav, Automatic Attendance System Using Deep Learning (March 14, 2019). Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur - India, February 26-28, 2019. Available at SSRN: https://ssrn.com/abstract=3352376 or http://dx.doi.org/10.2139/ssrn.3352376

Sunil Aryal (Contact Author)

Chandigarh University, Apex Institute of Technology, Students ( email )

India

Rachhpal Singh

Khalsa College ( email )

Amritsar
Punjab
India

Arnav Sood

Chandigarh University - Apex Institute of Technology ( email )

India

Gaurav Thapa

Chandigarh University - Apex Institute of Technology ( email )

India

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