Driver Attentiveness Detection Using OpenCV and Machine Learning

M. Amareswara Kumar, Shaik Sana Abida, Nayini Mounika, Yadiki Indu, Shaik Afrin, Shaik Shahena

2025

Abstract

In today's ever-evolving world, where technology plays a crucial role, the "Driver Attentiveness Detection System with Open CV Using Machine Learning" aims to pave the way for a safer driving experience. The project uses Open CV based computer vision techniques and machine learning algorithms to identify early signs of driver drowsiness and distraction. The intelligent monitoring system can analyze and determine whether the driver is looking at the road or yawning and communicate any potential out-of-control situation to the driver using facial features and indicating different aspects like the position of (head, eyes) and blinking rate/jaw yawning frequency. The advanced model is fed with real-time video feed from a camera placed inside the vehicle and has been programmed to recognize facial landmarks to identify alert and drowsy states. Upon detection of drowsiness or distraction, it immediately conjures real-time alerts via alarms or notifications, redirecting the driver’s focus. This project addresses this issue with the purpose of reducing road accidents, which are one of the leading causes of human deaths and injury. Automated monitoring and AI-driven decision-making provide a strong solution for driver protection, especially for long distance drivers, fleet drivers and self-driving vehicles.

Paper Citation

in Harvard Style

Kumar M., Abida S., Mounika N., Indu Y., Afrin S. and Shahena S. (2025). Driver Attentiveness Detection Using OpenCV and Machine Learning. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 640-644. DOI: 10.5220/0013870600004919

in Bibtex Style

@conference{icrdicct`2525,
author={M. Kumar and Shaik Abida and Nayini Mounika and Yadiki Indu and Shaik Afrin and Shaik Shahena},
title={Driver Attentiveness Detection Using OpenCV and Machine Learning},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={640-644},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013870600004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - Driver Attentiveness Detection Using OpenCV and Machine Learning
SN - 978-989-758-777-1
AU - Kumar M.
AU - Abida S.
AU - Mounika N.
AU - Indu Y.
AU - Afrin S.
AU - Shahena S.
PY - 2025
SP - 640
EP - 644
DO - 10.5220/0013870600004919
PB - SciTePress