A Survey on Driver Drowsiness Detection System
Poonam N. Patil
, Bhagyashree R. Patted , Aishwarya R Kannalli , Prachi N Solankure , P. K. Deshpande
Driver drowsiness; eye detection; yawn detection; nodding pattern; fatigue
The survey addresses on how a machine learning device that helps in detecting the drowsiness of the driver. This system is developed for driver drowsiness detection to prevent accidents from happening because of driver fatigue and micro sleep. This propose the results and solutions on the limited implementation of the various techniques that are introduced in the project. Whereas the implementation of the project gives the real-world idea of how the system works and what changes can be done in order to improve the utility of the overall system. The present system detects the eye closure, yawning and nodding pattern. Furthermore, the paper states the overview of the observations made by the authors in order to help further optimization in the mentioned field to achieve the utility at a better efficiency for a safer road.
"A Survey on Driver Drowsiness Detection System", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.438 - 442, March-2023, Available :https://ijsdr.org/papers/IJSDR2303068.pdf
Volume 8
Issue 3,
March-2023
Pages : 438 - 442
Paper Reg. ID: IJSDR_204356
Published Paper Id: IJSDR2303068
Downloads: 000347546
Research Area: Information Technology
Country: Bagalkot, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
