DrivebuddyAI’s patented system leverages AI and computer vision to monitor over 92 real-time eye and facial cues, enabling early detection of driver fatigue and triggering instant alerts—helping ...

Drowsiness detection is a critical technique to avoid traffic accidents. Federated learning (FL) can solve the problem of insufficient driver facial data by utilizing different industrial entities’ ...

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

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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 ...

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’ ...