UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 10
October-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2110267


Registration ID:
316117

Page Number

c531-c534

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Title

IOT Based Smart Attendance System Using Face Recognition

Abstract

- The attendance of students is a topic in our paper. Face recognition is used to track student attendance. The Raspberry Pi is used for face detection and recognition. If the camera is attached to the Raspberry Pi's USB port, only photographs of students who are present in the class will be captured for face detection.When the taken photographs are compared to the recorded photos, we will be able to distinguish the faces of each student, and attendance will be assigned to that subject class. This procedure is followed for each class, and students are assigned attendance as a result. This is an automated technology that assists the instructor in taking class attendance without causing any disruption or wasting time. The concept can be applied to a variety of scenarios, one of which is facial recognition, which saves time and effectively identifies and eliminates the possibility of proxy attendance. The main goal of this project is to create an automatic attendance system using a Raspberry Pi and OpenCV/Python modules, as well as a recognizer algorithm. The proposed method can be used in any field where an attendance system is used and is important. Furthermore, because the project objectives and design criteria were all met, it's best to describe this project as an engineering solution for tracking and managing attendance at all universities and institutions.

Key Words

Face Recognition , Smart Attendance, OpenCV

Cite This Article

"IOT Based Smart Attendance System Using Face Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.c531-c534, October-2021, Available :http://www.jetir.org/papers/JETIR2110267.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

"IOT Based Smart Attendance System Using Face Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. ppc531-c534, October-2021, Available at : http://www.jetir.org/papers/JETIR2110267.pdf

Publication Details

Published Paper ID: JETIR2110267
Registration ID: 316117
Published In: Volume 8 | Issue 10 | Year October-2021
DOI (Digital Object Identifier):
Page No: c531-c534
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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