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@article{174292,
        author = {LINGA PRAVIN KS and LOKESH RAJ J and Tina Victoria A},
        title = {ADVANCED FACIAL DETECTION ATTENDANCE SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {4109-4116},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174292},
        abstract = {Class attendance can typically be taken and registered in a manual system which is usually time consuming and problematic. The traditional approach is rather problematic in that it is open to abuse in such matters as student proxies or even wilful manipulation. In response to such challenges, this study recommends an automation of attendance management system through facial recognition. The system immediately takes their pictures once they are in the classroom and the pictures automatically registers them as present. The A-A-LBPH algorithm of training and the Haar- Cascade classifier for face detection to make sure that the system recognizes faces effectively without the lapses. The graphical user interface, referred to as A-GUI, is implemented using the Tkinter software toolkit, which allows for user interaction, while A-Simple Mail Transfer Protocol referred to as A-SMTP provides automated forms of notification for attendance changes. It also makes a massive cut to the time taken and reliability of attendance tracking in educational institutions.},
        keywords = {Automated Attendance System, Facial Recognition, A-LBPH Algorithm, Haar-Cascade Classifier, Real- Time Face Detection, Tkinter GUI, SMTP Integration.},
        month = {March},
        }