Driver drowsiness detection using CNN algorithm in image processing

Drowsiness and Fatigue of motorists and drivers cause more than 30% of road accidents. Every time, they increase the quantities of deaths, losses, and injuries encyclopedically. Discovery of drowsiness is needed so that it cautions the motorist and the drivers which might save their lives. It’s bein...

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Bibliographic Details
Main Authors: Preethi, K. C. S., Dharanie, K., Shrivarshini, N., Sowmya, R., Kalyani, R., Suruthi, S.
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Blinking
Driver fatigue
Image processing
Image segmentation
Machine learning
Sleepiness
Traffic accidents
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Summary:Drowsiness and Fatigue of motorists and drivers cause more than 30% of road accidents. Every time, they increase the quantities of deaths, losses, and injuries encyclopedically. Discovery of drowsiness is needed so that it cautions the motorist and the drivers which might save their lives. It’s being done using the CNN algorithm in image processing. In this discovery fashion, a motorist is continuously monitored through a webcam. In this technique, the driver’s face is taken and it is fed to Deep Learning so that the blinking of the eye is predicted. We use an algorithm, if a motorist’s eye seems to be closed for a particular quantum of time, the system cautions the motorist with a sound. To perform the segmentation of the images, ways similar as Image recognition and Image Processing.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0222519