Few works on the automated drowsiness detection ... images. Their respective output is passed to the ensemble boundary using the weighted average method whose weights are tuned using the ensemble ...

Ajman University students have earned recognition for developing impactful, real-world solutions to everyday challenges, such as helping blind ...

A real-time driver drowsiness detection system using Convolutional Neural Networks (CNN) and OpenCV. It detects eye closure and triggers an alarm if eyes remain closed for 10 seconds, helping to ...

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Abstract: Drowsy ... detection system leveraging vision transformers (ViT). Our approach detects the driver’s face from each video frame and classifies the driver’s state as either ‘drowsy’ or ‘alert’ ...