UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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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

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Published Paper ID:
JETIR2305D19


Registration ID:
515678

Page Number

n101-n105

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Title

Facial Recognition-based Attendance System using Machine Learning

Abstract

In the era of ever-growing innovations, it's time to ditch the mundane and outdated way of recording attendance in the educational sector and embrace modern solutions. An attendance monitoring system will save both students and teachers a significant amount of time and effort. By differentiating the students' faces from the rest of the objects and labeling them as present, the facial recognition algorithm will keep track of attendance. The system will be pre-loaded with all of the students' photographs, and the algorithm will utilize this data to recognize individuals who are present and match their attributes to previously saved images. In today's rapidly changing technological landscape, there is no need to rely on traditional, tedious methods of attendance monitoring in the educational sector. With the implementation of an attendance monitoring system, both students and teachers can save valuable time and energy. The face recognition algorithm can be used to monitor attendance by accurately identifying each student's face from a crowd and marking them as present. The system will be pre-loaded with the images of all students, enabling the algorithm to instantly detect student presence and match their features with the images stored in the database.

Key Words

Face Recognition,Lbph,HaarCascade,OpenCV

Cite This Article

"Facial Recognition-based Attendance System using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.n101-n105, May-2023, Available :http://www.jetir.org/papers/JETIR2305D19.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

"Facial Recognition-based Attendance System using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppn101-n105, May-2023, Available at : http://www.jetir.org/papers/JETIR2305D19.pdf

Publication Details

Published Paper ID: JETIR2305D19
Registration ID: 515678
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: n101-n105
Country: Pune, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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