Driver Drowsiness and Distraction Detecting System

Ganesh Aravindh V P; Deepa v Jose

Driver Drowsiness and Distraction Detecting System

November 2021

Vol-7, Issue-6

Paper ID: 15565

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering

Keywords

Drowsiness detection prediction CNN classifier deep learning

Abstract

Drowsiness can be depicted as a characteristic state where the body is encountering significant change from an attentive state to a napping state. At this stage, a driver can lose attention and will not be able to do activities, for instance, avoiding head-on accidents or slowing down fortunately. There are obvious signs that can suggest whether a driver is tired or not, like, frequent yawning, and inability to keep eyes open etc. Face composition also changes because of the blood circulation system. This research work aims to create a nonintrusive framework that can separate the facial landmarks spots of the driver using the Region of Interest and learn the eye perspective extent and sort the eyes as closed or open.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Ganesh Aravindh V P	Department of Computer Science, CHRIST (Deemed to be University)
2	Deepa v Jose	Department of Computer Science, CHRIST (Deemed to be University)

How to Cite

Use the following formats to cite this article in your research.

APA Style

P, Ganesh Aravindh V & Jose, Deepa v (2021). Driver Drowsiness and Distraction Detecting System. International Journal of Advance Research and Innovative Ideas In Education, 7(6), 193-199.

MLA Style

P, Ganesh Aravindh V, and Deepa v Jose. "Driver Drowsiness and Distraction Detecting System." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 6, 2021, pp. 193-199.

IEEE Style

Ganesh Aravindh V P and Deepa v Jose, "Driver Drowsiness and Distraction Detecting System," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 6, pp. 193-199, 2021.

Vancouver Style

P Ganesh Aravindh V, Jose Deepa v. Driver Drowsiness and Distraction Detecting System. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(6):193-199.

Harvard Style

P, Ganesh Aravindh V & Jose, Deepa v (2021) 'Driver Drowsiness and Distraction Detecting System', International Journal of Advance Research and Innovative Ideas In Education, 7(6), pp. 193-199.

Chicago Style

P, Ganesh Aravindh V and Deepa v Jose. "Driver Drowsiness and Distraction Detecting System." International Journal of Advance Research and Innovative Ideas In Education 7, no. 6 (2021): 193-199.

Turabian Style

P, Ganesh Aravindh V and Deepa v Jose. "Driver Drowsiness and Distraction Detecting System." International Journal of Advance Research and Innovative Ideas In Education 7, no. 6 (2021): 193-199.