Welcome to IJSDR UGC CARE norms ugc approved journal norms IJRTI Research Journal | ISSN : 2455-2631
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
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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:
000222060
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
Facebook Twitter Instagram LinkedIn