Acta Scientific Computer Sciences

Review Article Volume 4 Issue 11

Automatic Drowsy Driver Recognizer System Using Machine Learning Model

Damodharan D*, Anandhan K and Anupam Lakhanpal

Assistant Professor, School of computing science and Technology, Galgotias University, Greater Noida, India

*Corresponding Author: Damodharan D, Assistant Professor, School of computing science and Technology, Galgotias University, Greater Noida, India.

Received: July 25, 2022; Published: October 19, 2022


Drivers who do not take periodic rest while long driving process a more chances of becoming drowsy, a condition in which they sometimes are unable to identify soon enough the danger. Research found that nearly twenty five percent (25%) of all severe motor way mishap occur due to inactive drivers in need of a break, which means that drowsiness, is responsible for high number of accidents as compared to drink driving. Alert help can notify of sleepiness in situation of risky speed and alert driver about their present condition of tiredness, provide convertible reactivity and if a warning come forth, signaling the local useful points in the portal.

Keywords: Alert; Drowsiness; Drowsy; Portal; Sleepiness


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Citation: Damodharan D., et al. “Automatic Drowsy Driver Recognizer System Using Machine Learning Model". Acta Scientific Computer Sciences 4.11 (2022): 25-30.


Copyright: © 2022 Damodharan D., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Acceptance rate35%
Acceptance to publication20-30 days

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