Open Access
Research Paper
Peer Reviewed

Paper Title

DRIVER SLEEPINESS DETECTION USING ALERTNESS SYSTEM

Article Identifiers

Registration ID: IJNRD_311903

Published ID: IJNRD2601232

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Keywords

Drowsiness detection, EAR, MediaPipe, OpenCV, Unity 3D, socket communication, real-time alert, driver safety, simulation.

Abstract

Abstract: Driver drowsiness is a leading factor in road accidents worldwide, often resulting from prolonged driving and reduced vigilance. This project presents an end-to-end system for real-time detection of driver fatigue and an immersive testing environment. In the detection module, facial landmarks are tracked using Google MediaPipe’s Face Mesh, and the Eye Aspect Ratio (EAR) formula is computed via OpenCV in Python to monitor blink patterns and eye closure. When drowsiness is detected—EAR dropping below a calibrated threshold for a sustained duration - a Pygame-powered alarm immediately alerts the driver. To evaluate and demonstrate the system under realistic driving conditions, we developed a 3D car driving simulator in Unity. C# scripts handle vehicle dynamics and user controls, while a socket-based communication channel seamlessly integrates Unity with the Python detection backend. This architecture enables live feedback: simulated driver fatigue in Unity can trigger alarms and vice versa. The combined solution offers a robust platform for both alerting real drivers and experimenting with drowsiness-mitigation strategies in a safe virtual environment. Expected outcomes include high detection accuracy (>90%) in diverse lighting and driver conditions, rapid alarm response, and a flexible simulation framework for future research and training applications.

How To Cite (APA)

Angadi Mohammed Rayyan, Jeevanandham, Nandam Roopesh, Karthikeyan TS, & S Nagaraj (January-2026). DRIVER SLEEPINESS DETECTION USING ALERTNESS SYSTEM. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 11(1), c191-c200. https://ijnrd.org/papers/IJNRD2601232.pdf

Issue

Other Publication Details

Paper Reg. ID: IJNRD_311903

Published Paper Id: IJNRD2601232

Research Area: Other area not in list

Author Type: Indian Author

Country: Bangalore, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2601232.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2601232

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Publication Timeline

Paper Submission
16-01-2026
Peer Review
Through Scholar9.com Platform
Paper Acceptance
22-01-2026
Paper Publication
26-01-2026

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