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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM3343
Volume:
4 |
4 |
Apr 2020
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This project aims to develop a real-time, non-intrusive system to detect driver drowsiness and prevent road accidents caused by fatigue. Using Artificial Intelligence and Computer Vision techniques, the system continuously monitors the driver’s facial features via a webcam. It employs the Eye Aspect Ratio (EAR) algorithm to analyze eye blinking patterns and detect prolonged eye closure. When drowsiness is identified, the system triggers an immediate audio-visual alert and logs the event to a server. This solution is designed to be low-cost, efficient, and easily integratable into existing vehicle safety frameworks, providing a proactive approach to enhancing road safety.
KEYWORDS
Publication Date
12/18/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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