Current Volume 9
Abstract
Driver drowsiness is one of the major causes of road accidents across the world. Fatigue reduces driver alertness, reaction time, and decision-making capability, leading to severe road accidents and fatalities. This paper presents a real-time Vehicle Control Based Drowsiness Response System developed using computer vision and embedded system technologies. The proposed system continuously monitors the driver’s facial behavior through a USB camera and detects signs of drowsiness such as prolonged eye closure, reduced blink rate, yawning, and head nodding. The system uses image processing techniques and facial landmark detection to analyze the driver’s condition in real time. Once drowsiness is detected, warning alerts such as buzzer sound and LED indication are activated. Additionally, the prototype controls a DC motor to simulate vehicle speed reduction and stopping mechanism. The system integrates both software and hardware components using Python, OpenCV, Arduino, motor driver modules, and alert devices. Experimental results demonstrate that the proposed model can effectively detect fatigue conditions under normal lighting environments with improved reliability and low implementation cost. The proposed work contributes toward intelligent transportation safety systems and can be further enhanced using artificial intelligence and IoT-based monitoring technologies.
Keywords
Driver Drowsiness Detection, Computer Vision, OpenCV, Eye Aspect Ratio, Arduino, Vehicle Safety, Fatigue Monitoring.
Citations
IRE Journals:
Harini R, Pushpitha K S, Shalini S, Swetha K, Raja S "Vehicle Control Based Drowsiness Response System" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 1861-1865 https://doi.org/10.64388/IREV9I11-1717793
IEEE:
Harini R, Pushpitha K S, Shalini S, Swetha K, Raja S
"Vehicle Control Based Drowsiness Response System" Iconic Research And Engineering Journals, 9(11) https://doi.org/10.64388/IREV9I11-1717793
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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