FACE RECOGNITION BASED ATTENDANCE MANAGEMENT SYSTEM
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Attendance management is a fundamental administrative task in educational institutions and organizations. Traditional methods, including manual registers, identity cards, and fingerprint-based biometric devices, suffer from significant limitations such as proxy attendance, hygiene concerns, manual errors, and scalability issues. This paper presents a Face Recognition Based Attendance Management System (FRAMS) that leverages state-of-the-art deep learning techniques — specifically Convolutional Neural Networks (CNNs) and the FaceNet architecture — to enable fully automated, contactless, and accurate attendance recording. The proposed system captures real-time video frames, detects and preprocesses facial regions, extracts 128-dimensional facial embeddings, and compares them against a pre-enrolled database using cosine similarity to determine identity. The attendance record is stored automatically upon successful recognition. Experimental results demonstrate a recognition accuracy of 97.2% on a dataset spanning 50 individuals under diverse lighting and pose conditions, with an average recognition latency of 0.38 seconds per frame. The system is implemented using Python, OpenCV, TensorFlow, and SQLite, making it cost-effective and deployable on commodity hardware. Comparative evaluations confirm superior performance against manual, card-based, and fingerprint biometric systems in accuracy, speed, and hygiene. Future work addresses cloud integration, multi-face batch processing, and GPU-accelerated real-time inference.
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A, A. B. & Fathima, A. (2026). Face Recognition Based Attendance Management System. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.619
A, Ashbeer, and Anish Fathima. "Face Recognition Based Attendance Management System." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.619.
A, Ashbeer, and Anish Fathima. "Face Recognition Based Attendance Management System." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.619.
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