Intelligent Drowsy Drive Alert using OpenCV and Convolutional Neural Network

The objective of this paper is to propose a non-intrusive system that can detect fatigue of any human body and issue a warning in time.Driver sleep detection is an automobile safety feature that helps to avoid accidents when the driver falls asleep behind the wheel. According to various researches, roughly 25% of traffic accidents are caused by weariness. Without taking regular breaks, drivers become drowsy and they may fail to recognize the risks. This project can give drivers utmost safety by preventing him from getting asleep while driving.

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Intelligent Drowsy Drive Alert using OpenCV and Convolutional Neural Network

Semantic Scholar · Computer Science · 2021

Abstract

The objective of this paper is to propose a non-intrusive system that can detect fatigue of any human body and issue a warning in time.Driver sleep detection is an automobile safety feature that helps to avoid accidents when the driver falls asleep behind the wheel. According to various researches, roughly 25% of traffic accidents are caused by weariness. Without taking regular breaks, drivers become drowsy and they may fail to recognize the risks. This project can give drivers utmost safety by preventing him from getting asleep while driving.

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