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@article{169398,
        author = {BHARTI NANA DURGADE and Ms. Pranita Argade and Ms. Ashwini Joshi and Ms. Ayesha Mujawar},
        title = {Survey Paper on Automatic Student Attendance System Using Deep Facial Recognition},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {1238-1241},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169398},
        abstract = {Both educators and school officials find that tracking student attendance is a tedious and time-consuming endeavour. We therefore considered using the most recent developments in machine learning to automate this operation. This article suggests a facial recognition and detection method for managing attendance. A camera takes pictures of the classroom all the time. Students' face traits are identified and extracted by a thorough examination of the taken pictures. After that, their identities are predicted by a pattern recognition model. The suggested architecture is validated by the experiment's outcomes. No human involvement is required in the process of recording the kids' attendance.},
        keywords = {facial recognition and detection, pattern recognition, etc},
        month = {November},
        }