Drowzy Alert AI Powered Driver Fatigue Detection

S Ramya; Raman.A; Ramkumar.S; Anand.Y; Tharak.S

doi:10.59256/ijrtmr.20250501003

Original Article

Drowzy Alert AI Powered Driver Fatigue Detection

Paper ID 145
Volume 5, Issue 1
Pages 17-19
Published Online: January-February 2025
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Open Access Peer Reviewed Crossref DOI

Authors

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.

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Article Information

DOI: https://www.doi.org/10.59256/ijrtmr.20250501003
Published In: Volume 5, Issue 1 (2025)
Published Online: January-February 2025
Pages: 17-19
Article Type: Original Article
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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

Drowzy Alert AI Powered Driver Fatigue Detection

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