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Face Recognition Based Smart Attendance System

Pravin Panditrao Chilme1 , Pathan Naserkhan Jaffarkhan2

  1. Department of Computer Sci & Engineering,M.S.Bidve Engineering College Latur.
  2. Department of Computer Sci & Engineering,M.S.Bidve Engineering College Latur.

Section:Technical Paper, Product Type: Journal Paper
Volume-8 , Issue-4 , Page no. 80-84, Apr-2020

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v8i4.8084

Online published on Apr 30, 2020

Copyright © Pravin Panditrao Chilme , Pathan Naserkhan Jaffarkhan . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Pravin Panditrao Chilme , Pathan Naserkhan Jaffarkhan, “Face Recognition Based Smart Attendance System,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.4, pp.80-84, 2020.

MLA Style Citation: Pravin Panditrao Chilme , Pathan Naserkhan Jaffarkhan "Face Recognition Based Smart Attendance System." International Journal of Computer Sciences and Engineering 8.4 (2020): 80-84.

APA Style Citation: Pravin Panditrao Chilme , Pathan Naserkhan Jaffarkhan, (2020). Face Recognition Based Smart Attendance System. International Journal of Computer Sciences and Engineering, 8(4), 80-84.

BibTex Style Citation:
@article{Chilme_2020,
author = {Pravin Panditrao Chilme , Pathan Naserkhan Jaffarkhan},
title = {Face Recognition Based Smart Attendance System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2020},
volume = {8},
Issue = {4},
month = {4},
year = {2020},
issn = {2347-2693},
pages = {80-84},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5079},
doi = {https://doi.org/10.26438/ijcse/v8i4.8084}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i4.8084}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5079
TI - Face Recognition Based Smart Attendance System
T2 - International Journal of Computer Sciences and Engineering
AU - Pravin Panditrao Chilme , Pathan Naserkhan Jaffarkhan
PY - 2020
DA - 2020/04/30
PB - IJCSE, Indore, INDIA
SP - 80-84
IS - 4
VL - 8
SN - 2347-2693
ER -

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Abstract

Daily participation of the student in the current academic program plays a significant role in measuring success and tracking efficiency. Calling people names or writing on papers are the traditional approaches used in most organizations that are very time consuming and vulnerable. This article describes the automated attendance management method, for convenience or data reliability. The project`s key working theory is that, identifying and remembering a particular student. This project is built for attendance at school / college. This framework is based on the technique for camera known as facial recognition system. In the centre of the classroom above the black board facing the students, the camera should be attached. As per the timer set for class timing system. The camera takes the shot from the classroom. And this system plays a key role in the present situation of covid19 as it avoid from person to person contact. Which only captures students face by maintaining certain distance.

Key-Words / Index Term

Facetrack, Smart Attendance, AWS Rekognition, School Attendance

References

[1]. N.Sudhakar Reddy, M.V.Sumanth, S.Suresh Babu, "A Counterpart Approach to Attendance and Feedback System using Machine Learning Techniques",Journal of Emerging Technologies and Innovative Research (JETIR), Volume 5, Issue 12, Dec 2018.
[2]. Dan Wang, Rong Fu, Zuying Luo, "Classroom Attendance Auto-management Based on Deep Learning",Advances in Social Science, Education and Humanities Research, volume 123,ICESAME 2017.
[3]. Akshara Jadhav, Akshay Jadhav, Tushar Ladhe, Krishna Yeolekar, "Automated Attendance System Using Face Recognition", International Research Journal of Engineering and Technology (IRJET), Volume 4, Issue 1, Jan 2017.
[4]. B Prabhavathi, V Tanuja, V Madhu Viswanatham and M Rajashekhara Babu, "A smart technique for attendance system to recognize faces through parallelism", IOP Conf. Series: Materials Science and Engineering 263, 2017.
[5]. Prajakta Lad, Sonali More, Simran Parkhe, Priyanka Nikam, Dipalee Chaudhari, " Student Attendance System Using Iris Detection", IJARIIE-ISSN(O)-2395-4396, Vol-3 Issue-2 2017.
[6]. Samuel Lukas, Aditya Rama Mitra, Ririn Ikana Desanti, Dion Krisnadi, "Student Attendance System in Classroom Using Face Recognition Technique", Conference Paper DOI: 10.1109/ICTC.2016.7763360, Oct 2016