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@article{195738,
        author = {B Manohar Prasad and N Asritha and R V Venkata Swapna Sri and P Jaya Bhargavi and N Manisha},
        title = {Duration Aware Real Time Facial Recognition Attendance Management System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {3273-3279},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195738},
        abstract = {Current presence detection mechanisms based on facial recognition marks a student as present as soon as a face is identified. But such systems do not check if the student is present for the required period. This paper introduces a duration, aware real, time face recognition and tracking system for intelligent attendance management. The designed system integrates face detection, recognition and real, time identity tracking to compute the actual attendance duration of a student and records him as present when the duration is within the threshold value. This new algorithm is more robust, avoids proxy attendance and increases monitoring accuracy in academic surroundings. The experimental result confirms improved authenticity when compared to present day single frame recognition-based attendance system.},
        keywords = {Real-Time Facial Recognition, Attendance Management System, Face Tracking, Presence Duration Analysis, Computer Vision, Temporal Validation, Automated Attendance, Deep Learning-Based Recognition},
        month = {April},
        }