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 ...

A recent study "Real-time anti-sleep alert algorithm ... fatigue using convolutional neural networks (CNNs) and computer vision. The system relies on a USB camera to capture images of the driver’s ...

Abstract: In today’s analysis of traffic accident reports it becomes evident that most driving accidents result from driver drowsiness ... has been obtained using a genetic algorithm, with FER-2013 ...

The detection of PD is a significant challenge for clinicians, mostly attributable to the inherent complexities associated with its treatment. The use of artificial intelligence algorithms based ...

In this preface, A passive brain-computer interface (pBCI) scheme using multichannel electroencephalography (EEG) brain signals is developed for spatially localized and accurate detection of human ...

Real-time IoT-based driver drowsiness detection system using YOLOv8, Arduino, FastAPI, and Grafana for alerts, data logging, and analysis. This repository provides a Python implementation for ...