Year: 2025
Type: article
Abstract: This paper presents a vehicle safety system designed to detect driver drowsiness and prevent accidents caused by fatigue. Studies suggest that around 20% of road accidents are due to drowsy driving. To address this, the system uses an IR-based eye blink sensor that monitors the driver's eye movements. When the eyes remain closed for a certain duration, the sensor detects a change in output, triggering a controller. This activates a buzzer placed near the driver and displays a warning on an LCD screen, alerting the driver and stopping the vehicle if necessary. The system aims to enhance road safety by providing an automated method to identify and respond to signs of drowsiness in real time. Keywords- Driver Drowsiness Detection, Eye Blink Sensor, Vehicle Safety, Real-time Monitoring, Accident Prevention, Alert System.
DOI: 10.55041/ijsrem44569
Authors: Mr. J.E. SIVA, B. PRAVEEN KUMAR, A. SAI KRISHNA
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4409465708