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@article{177360,
        author = {G. Jahnavi and G. Nithin Reddy and CH. Uday Kumar and V.H.N.D. Madhuri and B. Nithin and A. Phani Madhuri},
        title = {STUDENT AUTO ATTENDANCE SYSTEM USING RASPBERRY PI WITH FACE RECOGNITION MODULE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {616-622},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177360},
        abstract = {Face recognition based smart attendance system using recognizing the students face while taking attendance by using face based on monitor camera image capturing. In our face recognition based smart attendance project, a raspberry pi system will be able to find and recognize human faces fast and precisely in images. The long-established method of calling name of each student is tedious and there is always a chance of proxy attendance. The proposed system is based on face recognition to maintain the attendance record of students. As the process of attendance taking starts the system takes pictures of the attendees and then applies face detection and recognition technique to the given image and the recognized students are marked as present and their attendance is updated with corresponding time, student name and register number. We have used deep learning techniques to develop this project. The project aims to eliminates manual roll-call, saving time and reducing proxy attendance, attendance data is recorded and stored in database which is excel sheet and through IoT, which makes it easy to manage and report.},
        keywords = {Attendance automation, Database, Data recording, Face recognition, Image processing, Internet of things, Python, Real time, Raspberry Pi},
        month = {May},
        }