DRIVER DROWSINESS DETECTION USING OPENCV

The new way of security system which will be discussed in this project is based on machine learning and artificialintelligence. Passenger security is the main concern of the vehicle’s designers where most of the accidents arecaused due to drowsiness and fatigue driving in order to provide better security for saving lives of passenger’s airbag are designed but this method is useful after accident is accord. But main problem is still we see many accidentshappening and many of them are losing their lives. In this project we are using OpenCV library for imageprocessing and giving input as user live video and training data to detect if person in video is closing eyes orshowing any symptoms of drowsiness and fatigue then application will verify with trained data and detectdrowsiness and raise alarm which will alert driver.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-29
DOI
https://doi.org/10.5281/zenodo.15105780
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
0.00
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article

DRIVER DROWSINESS DETECTION USING OPENCV

Zenodo (CERN European Organization for Nuclear Research)
Statistical Methods in Clinical Trials
article

DRIVER DROWSINESS DETECTION USING OPENCV

article en

Abstract

The new way of security system which will be discussed in this project is based on machine learning and artificialintelligence. Passenger security is the main concern of the vehicle’s designers where most of the accidents arecaused due to drowsiness and fatigue driving in order to provide better security for saving lives of passenger’s airbag are designed but this method is useful after accident is accord. But main problem is still we see many accidentshappening and many of them are losing their lives. In this project we are using OpenCV library for imageprocessing and giving input as user live video and training data to detect if person in video is closing eyes orshowing any symptoms of drowsiness and fatigue then application will verify with trained data and detectdrowsiness and raise alarm which will alert driver.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 53%
Statistical Methods in Clinical Trials
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