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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: January 2023

Volume 8 | Issue 1

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Authors Name: Renuka B. Rahane , Pranita D. Kotkar , Akshay C. Varpe , Manishkumar G. Tribhuvan
Unique Id: IJSDR2006086
Published In: Volume 5 Issue 6, June-2020
Abstract: In Presence academic system, Regular class attendance of student play a significant role in performance assessment and quality monitoring. The conventional methods practiced in most of the institutions are by calling names or signing on papers, which is highly time-consuming and insecure. This project proposes a method of developing a comprehensive embedded class attendance system using facial recognition with smart mirror The system is based on Raspberry Pi that runs Raspbian (Linux) Operating System installed on micro SD card. The Camera, as well as a smart mirror, are connected to the Raspberry Pi. By facing the camera, the camera will capture the image then pass it to the Raspberry Pi which is programmed to handle the face recognition by implementing the posture analyzing algorithm. If the student’s input image matches with the trained dataset image then the attendance results will be stored in the MySQL database. This project presents the automatic attendance management system for convenience or data reliability. We are living in a world where everything is automated and linked online. The internet of things, image processing, and machine learning are evolving day by day. Many systems have been completely changed due to this evolve to achieve more accurate results. The attendance system is a typical example of this transition, starting from the traditional signature on a paper sheet to face recognition. ile number to intimate them about their student.
Keywords: Face recognition, Attendance, Image processing, smart mirror, data reliability, raspbian, student
Cite Article: "SMART MIRROR FOR STUDENT ATTENDANCE USING IMAGE PROCESSING", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 6, page no.534 - 538, June-2020, Available :http://www.ijsdr.org/papers/IJSDR2006086.pdf
Downloads: 000201506
Publication Details: Published Paper ID: IJSDR2006086
Registration ID:192019
Published In: Volume 5 Issue 6, June-2020
DOI (Digital Object Identifier):
Page No: 534 - 538
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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