JOURNAL ARTICLE

DRIVER DROWSINESS DETECTION USING OPENCV

Dr. Roshan KavuriP. Vinay KumarG. Sai Chandra ReddyG. NitinV. Vishnu Nayak

Year: 2025 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

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.

Keywords:
ALARM Closing (real estate) Airbag Training (meteorology) Key (lock)

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Topics

Sleep and Work-Related Fatigue
Social Sciences →  Psychology →  Experimental and Cognitive Psychology
IoT and GPS-based Vehicle Safety Systems
Physical Sciences →  Engineering →  Mechanical Engineering
Advanced Technology in Applications
Physical Sciences →  Computer Science →  Information Systems

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