International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Driver Drowsiness Detection with Intelligent Traffic and Rest spot Assistance

Author(s) Prof. Yoheswari S, Ms. Abinaya K, Ms. Anusiya S
Country India
Abstract Driver fatigue remains a critical factor contributing to road accidents and fatalities worldwide. Existing safety systems primarily focus on post-accident response rather than real-time prevention. Therefore, developing an intelligent system capable of detecting early signs of drowsiness and providing proactive driver assistance is essential to enhance road safety and reduce accident risks.
Keywords Driver Drowsiness Detection, Eye Aspect Ratio (EAR), Mouth Aspect Ratio (MAR), Machine Learning, Intelligent Assistance, Geolocation
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-10-23
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.58641
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E-ISSN 2582-2160
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