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:
JETIR2305A94


Registration ID:
517287

Page Number

k662-k672

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Title

AUTOMATIC ATTENDANCE SYSTEM THROUGH FACIAL RECOGNITION USING RASPBERRY PI AND ML

Abstract

For organisations such as educational institutions, public or private sectors to prosper Attendance Management system plays a vital role. Conventional methods like calling out roll numbers or taking sign on paper for marking attendance are prone to manual errors. The following paper reside in the idea of using advance technologies in marking attendance efficiently. The most efficient way is designing an attendance system using face recognition. The paper focuses on the utilization of Machine Learning, its various algorithm and Raspberry Pi to identify the facial features of a person and design a system to mark out their attendance.

Key Words

Machine Learning, Raspberry Pi, Conventional methods

Cite This Article

"AUTOMATIC ATTENDANCE SYSTEM THROUGH FACIAL RECOGNITION USING RASPBERRY PI AND ML ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.k662-k672, May-2023, Available :http://www.jetir.org/papers/JETIR2305A94.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 SYSTEM THROUGH FACIAL RECOGNITION USING RASPBERRY PI AND ML ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppk662-k672, May-2023, Available at : http://www.jetir.org/papers/JETIR2305A94.pdf

Publication Details

Published Paper ID: JETIR2305A94
Registration ID: 517287
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: k662-k672
Country: Noida, Uttar Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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