ABSTRACT: This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from ...

Abstract: Drowsiness detection is vital in preventing traffic accidents. Eye state analysis-detecting whether the eye is open or closed-is critical step for drowsiness detection. In this paper, we ...

This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...

Netradyne, a global leader in AI-driven fleet safety, today announced the launch of its flagship Driver•i D-450 video safety platform and the latest DMS Sensor in India. The four-camera D-450 system – ...

Design a lightweight machine-learning pipeline that analyzes single-channel frontal EEG data (Fp1/Fp2) and accurately detects driver drowsiness in real-time. 50 Hz IIR notch filter + 0.5–30 Hz ...

In southern Australia, a government agency is trialing the assistance of hardworking detection dogs to help locate a protected python species for improved conservation efforts, ABC News Australia ...

Add a description, image, and links to the driver-drowsiness-detection topic page so that developers can more easily learn about it.

Abstract: In the modern world, transportation is important to the growth of society. Studies indicate that sleepy drivers who need a break are to blame for about a quarter of all serious motorway ...