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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Automated Class Attendance Management System Using Face Recognition
Authors Name: Prof. S.V Phulari , Jadhav Pawan , Shaikh B Fatima , Halge Kshitij , Ingale Ajay
Unique Id: IJSDR2005039
Published In: Volume 5 Issue 5, May-2020
Abstract: In this paper we propose an automated attendance system, Which is based on face recognition automatically detect the student face when he entered in a classroom and marks the attendance by recognizing face. The overall system architecture and algorithm used in project is described in this paper. When compared to traditional attendance marking this system saves the time and also helps to monitor the students. The framework depends on Raspberry Pi. The face capturing device used in system is Raspberry Pi which detects the face of student when he enters in a classroom ,the data recognized by Raspberry Pi is stored in CLOUD database, Those data used by android application to display the attendance and perform all other task of our project .the input provided to the system is image and the output of the system is attendance which is displayed on application. The Raspberry Pi 3B+ Camera, just as a 5-inch screen, are associated with the Raspberry Pi. By confronting the camera, the camera will catch the picture at that point pass it to the Raspberry Pi which is modified to deal with the face acknowledgment by actualizing the You only look once (yolo)s. On the off chance that the understudy's info picture matches with the prepared dataset picture the model entryway will open utilizing Servo Motor, at that point the participation results will be put away in the CLOUD database. The database is associated with Attendance Management System (AMS) web server, which makes the participation results reachable to any online associated Application.
Keywords: attendance recording, remote data entry, data acquisition system, YOLO, HOG, SVM, face recognition algorithm, Raspberry Pi
Cite Article: "Automated Class Attendance Management System Using Face Recognition", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 5, page no.229 - 233, May-2020, Available :http://www.ijsdr.org/papers/IJSDR2005039.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2005039
Registration ID:191167
Published In: Volume 5 Issue 5, May-2020
DOI (Digital Object Identifier):
Page No: 229 - 233
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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