Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This project presents a real-time attendance management system using image processing techniques. A camera captures student images at the classroom entrance, and facial features are detected and processed for recognition. The system uses Convolutional Neural Networks (CNN) to identify students automatically and mark attendance in a database. This approach reduces manual effort, improves accuracy, and enhances classroom management efficiency.
Keywords:
Student Attendance Monitoring, Face Recognition, Convolutional Neural Networks
Cite Article:
"Automatic Classroom Attendance System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 3, page no.a694-a696, March-2026, Available :http://www.ijrti.org/papers/IJRTI2603087.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