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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM23803
Volume:
7 |
6 |
Jun 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This short review report aims to analyse and evaluate the effectiveness of a student attendance system that utilizes deep learning techniques. The study investigates the advantages and limitations of employing deep learning in the context of monitoring student attendance. By examining existing literature, experimental studies, and real-world implementations, this report provides an in-depth analysis of the system’s capabilities and its impact on educational institutions. The findings presented here shed light on the potential benefits and challenges associated with deploying a student attendance system based on deep learning techniques. This is a generic review presented for the better implementation of the said system which will become a roadmap for any researcher for the further necessary implementation of the system.
KEYWORDS
Publication Date
6/19/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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