REAL-TIME DROWSINESS DETECTION (RTD2)
Sri Krishna H V
, Tarun Srinivas , Kedarnath R Gubbi , Vijay Kumar S
OpenCV, Computer Vision, Drowsiness, Machine Learning, Real-Time, Artificial Intelligence
In the present era, where the roads are filled with vehicles all the time, accidents are prone to happen. Studies show that over 50 percent of these road accidents in a year, are due to driver drowsiness and fatigue. Many attempts have been made to develop a solution to this problem to detect when the driver is drowsy, but everything has its own set of limitations. Our project aims to solve this problem by detecting the drowsiness of the driver and sending an alert. We propose to use the Dlib Library to detect the driver’s face, and a number of landmarks are plotted on the entire face of the driver. Using these landmarks, various calculations and comparisons take place to check whether the drivers’ eyes are closed or open, and whether the driver is yawning or not. From this, the system determines whether the driver is drowsy or not. If the driver is found to be drowsy, an audio and visual alert is triggered to alert the driver. With this project, we aim to help the society by reducing road accidents, and saving lives and property.
"REAL-TIME DROWSINESS DETECTION (RTD2)", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 9, page no.876 - 881, September-2022, Available :https://ijsdr.org/papers/IJSDR2209140.pdf
Volume 7
Issue 9,
September-2022
Pages : 876 - 881
Paper Reg. ID: IJSDR_201798
Published Paper Id: IJSDR2209140
Downloads: 000347286
Research Area: Computer Science & Technology
Country: Bengaluru, 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
