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)
Automating the process of attendance management is essential for enhancing efficiency and accuracy in educational and professional settings. Traditional methods such as manual roll calls, RFID-based tracking, or fingerprint scanning often introduce delays and are prone to errors and misuse, including proxy attendance. This paper presents the design and implementation of a facial recognition-based attendance system that provides a contactless, reliable, and automated solution. Utilizing computer vision and machine learning, the system captures real-time facial images, identifies individuals through face encoding, and records attendance without manual intervention. The application is built using Python, OpenCV, and the face recognition library powered by dlib’s face recognition model. Experimental results demonstrate high recognition accuracy under standard lighting and environmental conditions. The system’s modular design enables easy deployment in environments such as classrooms, corporate offices, and secure facilities. This paper explores the system’s architecture, core functionalities, implementation methodology, encountered challenges, and potential areas for future enhancement.
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Cite Article:
"Smart Attendance: Automated Facial Recognition System", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.a727-a734, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506086.pdf
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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