|
|
Bimonthly Since 1986 |
ISSN 1004-9037
|
|
|
|
|
Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
|
|
|
|
|
|
|
|
|
|
|
DRIVER DROWSINESS DETECTION
Harshit Verma1, Amit Kumar2, Gouri Shankar Mishra3, Ujjwal deep4, Pradeep Kumar Mishra5, Parma Nand6
Journal of Data Acquisition and Processing, 2023, 38 (2): 1527-1536 .
|
Abstract
All around the world there are many road accidents every hour, some are due to drink and driving, lack of sleep, lack of attention on the wheel and many more reasons, which can be risky for the passenger as well as people on roads. The most common situation is lack of sleep which can make the driver careless while driving, these things cannot be ignored. To avoid such situations driver drowsiness detection system is very efficient to detect drowsiness by calculating and judging the rate of driver’s eye blink rate and eyeballs size through camera and the program attached to it. Driver drowsiness detection system is based on CNN-machine learning algorithm which is implemented completely offline and can alert with the help of alarm if the driver is feeling drowsy.
Keyword
Driver drowsiness detection, Convolutional neural network, Real-time monitoring, Machine learning
PDF Download (click here)
|
|
|
|
|