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Drowzy Alert AI Powered Driver Fatigue Detection

S Ramya1 Raman.A2 Ramkumar.S3 Anand.Y4 Tharak.S5
1Assistant Professor, Department of information Technology, Er. Perumal Manimekalai College of Engineering, Hosur, Tamilnadu, India. 2345 Department of information Technology, Er. Perumal Manimekalai College of Engineering, Hosur, Tamilnadu, India.

Published Online: January-February 2025

Pages: 17-19

References

1. Driver Drowsiness Detection System with OpenCV & Keras: This project utilizes Python, OpenCV, and Keras to monitor a driver's eyes
and alert them if they appear drowsy. DataFlair+1Analytics Vidhya+1
2. AI-Enabled Dash Cams for Drowsy Drivers: An article discussing how AI-powered dash cams can detect signs of driver fatigue and
provide alerts to prevent accidents. exeros- technologies.com+4IEEESpectrum+4GitHub+4
3. AI Fatigue Detection Technology by EXEROS Technologies: This technology uses advanced algorithms to monitor and identify fatigue-
related incidents, providing real-time alerts to drivers. exeros-technologies.com
4. Drowsiness Detection System by Analytics Vidhya: An in-depth guide on building a drowsiness detection system using OpenCV and
deep learning techniques. AnalyticsVidhya+2DataFlair+2GitHub+2
5. Real-Time Drowsiness Detection System on GitHub: A GitHub repository showcasing a car safety technology that auto-detects driver
drowsiness in real-time to prevent road accidents. GitHub

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