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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM4174
Volume:
4 |
5 |
May 2020
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.
In today’s society, as a first step, any organization that relies on people must hold its employees accountable. Therefore, creating and maintaining proper management requires a lot of money from different organizations. In many countries, government agencies and schools use transcripts to track attendance. For example, take the time to call out the names of each student at the beginning of the lesson to track their attendance. Incorrect markings, missing names on presentations, manually entering information into the system, and the possibility of a representative attending are additional problems. There are some problems with this technology that has developed over time. It is important to replace these routines with routines to track attendance. Therefore, many studies and research have been conducted in this area using existing technologies. In particular, automatic identification of specific people based on features such as QR codes, IDs and passwords, facial recognition, fingerprint recognition, etc. attracts the attention of researchers. This article provides an overview of recent research on technology and intelligent systems. Our critical analysis summarizes the research literature on the technology, application areas, and key findings.
KEYWORDS
Publication Date
2/11/2024
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.
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