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
Drowsiness Detection System has been developed using non-intrusive machine vision-based concepts. The system has a small monochrome camera that points directly toward the person’s face and monitors the subject's eyes to detect fatigue. In such a case, when fatigue/drowsiness on the subject face is detected, a warning signal is issued to alert. This report describes how to find the eyes and determine if the eyes are open or closed.
Keywords:
Machine learning , Deep learning, Convolutional Neural Network
Cite Article:
"DROWSINESS DETECTION SYSTEM USING MACHINE LEARNING", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1062 - 1066, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305169.pdf
Downloads:
000337348
Publication Details:
Published Paper ID: IJSDR2305169
Registration ID:206071
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 1062 - 1066
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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