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Face Recognition & AI Based Smart Attendance Monitoring System

Ankur Hati1 , Sagar Saha2 , Ankita Mandal3 , Preeti Saha4 , Sudipta Sahana5 , Dharampal Singh6

Section:Research Paper, Product Type: Journal Paper
Volume-9 , Issue-5 , Page no. 15-21, May-2021

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v9i5.1521

Online published on May 31, 2021

Copyright © Ankur Hati, Sagar Saha, Ankita Mandal, Preeti Saha, Sudipta Sahana, Dharampal Singh . 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: Ankur Hati, Sagar Saha, Ankita Mandal, Preeti Saha, Sudipta Sahana, Dharampal Singh, “Face Recognition & AI Based Smart Attendance Monitoring System,” International Journal of Computer Sciences and Engineering, Vol.9, Issue.5, pp.15-21, 2021.

MLA Style Citation: Ankur Hati, Sagar Saha, Ankita Mandal, Preeti Saha, Sudipta Sahana, Dharampal Singh "Face Recognition & AI Based Smart Attendance Monitoring System." International Journal of Computer Sciences and Engineering 9.5 (2021): 15-21.

APA Style Citation: Ankur Hati, Sagar Saha, Ankita Mandal, Preeti Saha, Sudipta Sahana, Dharampal Singh, (2021). Face Recognition & AI Based Smart Attendance Monitoring System. International Journal of Computer Sciences and Engineering, 9(5), 15-21.

BibTex Style Citation:
@article{Hati_2021,
author = {Ankur Hati, Sagar Saha, Ankita Mandal, Preeti Saha, Sudipta Sahana, Dharampal Singh},
title = {Face Recognition & AI Based Smart Attendance Monitoring System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2021},
volume = {9},
Issue = {5},
month = {5},
year = {2021},
issn = {2347-2693},
pages = {15-21},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5331},
doi = {https://doi.org/10.26438/ijcse/v9i5.1521}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v9i5.1521}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5331
TI - Face Recognition & AI Based Smart Attendance Monitoring System
T2 - International Journal of Computer Sciences and Engineering
AU - Ankur Hati, Sagar Saha, Ankita Mandal, Preeti Saha, Sudipta Sahana, Dharampal Singh
PY - 2021
DA - 2021/05/31
PB - IJCSE, Indore, INDIA
SP - 15-21
IS - 5
VL - 9
SN - 2347-2693
ER -

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Abstract

In today’s generation, authentication is one of the biggest problems in our society. So, one of the most known techniques used for authentication is human face recognition, which is also known as HFR. For example- nowadays we can unlock our phone using the face recognition feature. In the existing system, Our lecturers take attendance manually which is somewhat time-consuming and old school type. So, our Artificial Intelligence-based attendance monitoring system will be capturing the faces of every student in a class during attendance and the result will get stored in the database automatically. There will be no extra Radio frequency Identification card, people need to carry anymore and this system will be the most authentic system of taking attendance. The system stores the faces that are detected and automatically uploads the attendance to the database. Using This process our primary goal is to help lecturers as well as students to track and manage student`s attendance and absenteeism.

Key-Words / Index Term

Artificial Intelligence, Face Recognition, Attendance Monitoring System, Database, Smart Attendance Monitoring System, Facial Recognition Based Automated Attendance System, Chatbots

References

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