Abstract: Facts reveal that numerous road accidents worldwide occur due to fatigue, drowsiness, and distraction while driving. Few works on the automated drowsiness detection problem, propose to ...

An overall decision is made by analyzing the separated source signals in parallel to determine the driver's driving state ... channel SOBI presents a promising framework to accurately detect ...

Ajman University students have earned recognition for developing impactful, real-world solutions to everyday challenges, such as helping blind individuals navigate public spaces and keeping drowsy ...

This system detects drowsiness ... using the MediaPipe Face Mesh model. Eye Aspect Ratio (EAR): A metric used to determine whether the driver’s eyes are closed for too long. Run the script. The system ...

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 ...

A newly published study in the Journal of Neurophysiology reveals how blow flies (Calliphora vicina)—despite their minimal ...

“So based on these initial findings, obviously, inantok nga yung driver (he obviously became drowsy),” he said. With these findings, Guadiz said the main concern now is whether or not the ...

Trooper Rick Johnson/X Two separate drivers in Seattle were caught one day apart attempting to use dummies in order to drive in the carpool lane One of the dummies was dressed as a woman in a ...