Driver Safety Enhancement System Using Arduino and Buzzer Alert

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.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-15
DOI
https://doi.org/10.55041/ijsrem44569
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Driver Safety Enhancement System Using Arduino and Buzzer Alert

M. Subramania Siva, Balu Praveenkumar, A. Sai Krishna
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
IoT and GPS-based Vehicle Safety Systems
article

Driver Safety Enhancement System Using Arduino and Buzzer Alert

M. Subramania Siva, Balu Praveenkumar, A. Sai Krishna
article en

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.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
Openalex Percentile: Top 93%
IoT and GPS-based Vehicle Safety Systems
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