Driver Drowsiness Detection System with OpenCV and Keras

4 Pages Posted: 20 Jul 2021

See all articles by Vedant Kaushish

Vedant Kaushish

Guru Gobind Singh Indraprastha University - Bharati Vidyapeeth College of Engineering

Nitesh Singh

Guru Gobind Singh Indraprastha University - Bharati Vidyapeeth College of Engineering

Kunal Maggo

Guru Gobind Singh Indraprastha University - Bharati Vidyapeeth College of Engineering

Preeti Nagrath

Bharati Vidyapeeth’s College of Engineering

Rachna Jain

Bharati Vidyapeeth’s College of Engineering

Date Written: July 12, 2021

Abstract

Several studies have reported indicating that driver drowsiness has caused multiple number of accidents over the past years. So, in an effort to prevent such accidents, measures are to be implemented. One such measure is a Driver Drowsiness Detection software; the software will set off an alarm once the driver keeps his/her eyes closed for a certain amount of time. This paper proposes to detect whether the driver is sleepy or not by using OpenCV with eyelid related parameters. The data consists of around 9723 images of eyes under different optical conditions. The used dataset is divided into three parts for the sake of convenience i.e. frontal face detection, left eye detection and right eye detection. With all the features, an OpenCV and keras a driver’s fatigue or drowsiness model is built. The validation results indicate the precision and accuracy of the proposed model.

Suggested Citation

Kaushish, Vedant and Singh, Nitesh and Maggo, Kunal and Nagrath, Preeti and Jain, Rachna, Driver Drowsiness Detection System with OpenCV and Keras (July 12, 2021). Proceedings of the International Conference on Innovative Computing & Communication (ICICC) 2021, Available at SSRN: https://ssrn.com/abstract=3884784 or http://dx.doi.org/10.2139/ssrn.3884784

Vedant Kaushish (Contact Author)

Guru Gobind Singh Indraprastha University - Bharati Vidyapeeth College of Engineering ( email )

India

Nitesh Singh

Guru Gobind Singh Indraprastha University - Bharati Vidyapeeth College of Engineering ( email )

India

Kunal Maggo

Guru Gobind Singh Indraprastha University - Bharati Vidyapeeth College of Engineering ( email )

India

Preeti Nagrath

Bharati Vidyapeeth’s College of Engineering ( email )

New Delhi, 110063
India

Rachna Jain

Bharati Vidyapeeth’s College of Engineering ( email )

New Delhi, 110063
India

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