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
Maintaining the attendance record while engaging in daily activities is a difficult undertaking. In order to maintain discipline and allow students to properly absorb all of the information offered, the attendance system was employed in schools, colleges, and universities. To record a student's attendance in a particular class, there are two traditional methods. The first one is calling the roll number, and the second one entails bringing pupils in to sign a piece of paper next to their roll number. Traditional Methods Hampers the Integrity of the attendance records. The system's goal is to create an automated system that, instead of using traditional techniques, uses facial recognition technology to track student attendance. Making the attendance marking and management system Secure, effective, time-saving, straightforward, and simple is the major goal of this effort. The system below uses face recognition as its foundation. Student’s daily attendance is tracked by subject and Roll number is already saved by the administrator. The system automatically begins capturing pictures as the time for the related subject is scheduled. It then uses facial detection and identification technology to identify students in the photograph, marking them as present and updating their attendance with the corresponding time and subject id. The system uses python language and its various libraries like OpenCV, NumPy etc and Har-cascade classifiers and Local binary patterns histograms (LBPH).
Keywords:
Face detection, face recognition, Haar cascade, OpenCV, LBPH Algorithm.
Cite Article:
"PYTHON GUI INTEGRATED ATTENDANCE SYSTEM USING FACE RECOGNITION", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 7, page no.199 - 206, July-2022, Available :http://www.ijsdr.org/papers/IJSDR2207028.pdf
Downloads:
000337073
Publication Details:
Published Paper ID: IJSDR2207028
Registration ID:200910
Published In: Volume 7 Issue 7, July-2022
DOI (Digital Object Identifier):
Page No: 199 - 206
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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