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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19457
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 144
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| Paper Title: | A Survey Paper on Facial Identification-Based Automated Attendance System |
| Authors Name: | Nitin Narayan T A , Aishwarya G , N Kalyan , Naga Krishna NP , Nakul D |
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| Author Reg. ID: |
IJRTI_188870
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| Published Paper Id: | IJRTI2401027 |
| Published In: | Volume 9 Issue 1, January-2024 |
| DOI: | |
| Abstract: | Implementing an Attendance Monitoring System is crucial, in institutions to evaluate student performance. The traditional manual process of recording attendance, where students are called out by their register numbers or names and entries are made in attendance registers can be cumbersome and error prone. It's not uncommon for students to sign the attendance sheets on behalf of classmates resulting in inaccuracies. This becomes more challenging in classrooms making it difficult to track individual student attendance effectively. This article suggests an approach that utilizes face detection and recognition technology to automate the procedure for tracking attendance. By capturing and comparing features of students with a pre existing database this facial biometric system allows for accurate marking of attendance. The system uses a camera to capture images compares them with stored images, during enrollment and marks attendance when a match is found. Moreover, the integration of intelligence enables the capture of motion pictures enabling analysis of students’ presence duration in the classroom. This comprehensive solution ensures management of attendance and continuous monitoring of student engagement. |
| Keywords: | Applications of student attendance monitoring, Artificial Intelligence, face organisation, and student attendance system |
| Cite Article: | "A Survey Paper on Facial Identification-Based Automated Attendance System", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 1, page no.153 - 158, January-2024, Available :http://www.ijrti.org/papers/IJRTI2401027.pdf |
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| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2401027
Registration ID:188870
Published In: Volume 9 Issue 1, January-2024
DOI (Digital Object Identifier):
Page No: 153 - 158 Country: Bengaluru, Karnataka, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2401027 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2401027 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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