Abstract: Driver drowsiness and fatigue are significant road safety risks, leading to numerous accidents globally. This research presents a comparative analysis of Convolutional Neural Network (CNN) ...
Abstract: Driver drowsiness remains a major cause of traffic accidents, requiring a drowsiness detection system to achieve high accuracy and real-time inference speed. To overcome these challenges, we ...
Abstract: Drowsiness is the main factor that leads to road accidents. Statistics show that drowsy drivers are responsible for accidents. A National Sleep Foundation survey indicates that 20% of ...
Abstract: Drowsy driving is a major cause of road accidents, often leading to severe injuries or fatalities. This paper presents an IoT-based driver drowsiness detection system that monitors eye blink ...
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