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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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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19463
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
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| Paper Title: | Facial Recognition Based Attendance Management System |
| Authors Name: | Pappu Nikitha , Sankurubothu Jyothsna , Routu Rajesh , Sambangi Kiran Kumar |
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IJRTI_202522
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| Published Paper Id: | IJRTI2504161 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | Taking attendance manually in educational institutions or workplaces is often repetitive, time-consuming, and vulnerable to inaccuracies such as human error or proxy attendance. As tech-nology continues to advance, there is a growing need for smarter, automated solutions that can streamline routine administrative tasks. This paper presents the design and development of a Facial Recognition-Based Attendance Management System that leverages modern computer vision and web technologies to address these challenges. Developed using Python along with Flask for the web framework, OpenCV for video processing, and the face_recognition library for face detection and recognition, the system is capable of identifying multiple individuals simultaneously from a live video feed. Once a face is recognized, the system automatically marks attendance and records the exact timestamp, storing the data securely. A user-friendly web interface provides real-time visibility of attendance logs and offers the functionality to download records in Excel format for easy documentation and analysis. This automated ap-proach not only improves accuracy and efficiency but also enhances security by minimizing the risk of fraudulent check-ins. The system is highly scalable and can be adapted for use in vari-ous environments such as classrooms, offices, or any organization that requires regular attend-ance tracking. |
| Keywords: | Attendance management System, Face Detection and Recognition, Automated Attendance Tracking, Real-Time Attendance |
| Cite Article: | "Facial Recognition Based Attendance Management System", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b515-b520, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504161.pdf |
| Downloads: | 000491 |
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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: IJRTI2504161
Registration ID:202522
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b515-b520 Country: Visakhapatnam, Andhra Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504161 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504161 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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