UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2305848


Registration ID:
516103

Page Number

i136-i139

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Title

Automatic Attendance Monitoring in IoT Using Face Recognition

Abstract

Attendance for the students is a vital task at college. When done manually it generally wastes lots of productive time of the category. This proposed solution to this problem is through automation of the attendance system using face recognition. The face is the primary identification for any human. This project describes the tactic of detecting and recognizing the face in real-time using a Raspberry Pi. This project describes an efficient algorithm using an open-source image processing framework mentioned as OpenCV. The face database is collected to acknowledge the faces of the scholars. The system is initially trained with the students' faces which is collectively observed by the student database. The system uses a user-friendly interface to maximize the user experience while both training and testing which are collecting student images and taking attendance with the system.

Key Words

IoT, Face Recognition

Cite This Article

"Automatic Attendance Monitoring in IoT Using Face Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.i136-i139, May-2023, Available :http://www.jetir.org/papers/JETIR2305848.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Automatic Attendance Monitoring in IoT Using Face Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppi136-i139, May-2023, Available at : http://www.jetir.org/papers/JETIR2305848.pdf

Publication Details

Published Paper ID: JETIR2305848
Registration ID: 516103
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: i136-i139
Country: Coimbatore, Tamilnadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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