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
K Dinesh
, Gali Sumana Sree , Dayakar Lohitha , Gadde Harika , J Janisha
Unique Id:
IJSDR2404073
Published In:
Volume 9 Issue 4, April-2024
Abstract:
A vital component of many organizations, including businesses, events, and educational institutions, is attendance management. Conventional techniques for recording attendance, including manual sign-in sheets or swipe cards, are inefficient, labor-intensive, and prone to mistakes. In this work, we present an innovative way using computer vision library OpenCV for attendance management. Our technology automatically recognizes and tracks people's faces for the purpose of tracking attendance using image processing techniques and face identification algorithms. Our attendance management solution achieves great accuracy and reliability by merging OpenCV with a reliable identification model. An overview of the suggested system is given in this work, with particular attention on image processing, face detection, and face identification.
"MANAGEMENT OF ATTENDANCE WITH OPEN CV", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.486 - 491, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404073.pdf
Downloads:
000338171
Publication Details:
Published Paper ID: IJSDR2404073
Registration ID:210608
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 486 - 491
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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