AI to deploy six-camera ADAS across 3,000 heavy-duty truck fleet — with expansion potential to 10,000 vehicles over five years — won on ...

This 'dual AI' approach does more than just streamline remote cardiac monitoring workflows; it also reduces alert fatigue by providing clinical teams with highly accurate, trustworthy data. With ...

AI surveillance and algorithmic management threaten worker autonomy and dignity. It’s time for a rethinking of rights. Part of “AI and the Future of the American Worker,” a series on how artificial ...

AI is revolutionizing fleet safety by shifting from reacting to accidents toward preventing them altogether. These systems combine driver monitoring, predictive analytics, and real-time coaching to ...

New FP platform filters dashcam alerts before they reach fleet managers, aiming to cut false positives, improve trust, and ...

Seeing Machines Limited, a global leader in vision-based monitoring technology, has released the second part of its Technical ...

The Ohio State Highway says one of its cruisers was damaged after being struck by a car driven by a drowsy driver in Lordstown. Responding to a report of a reckless driver traveling east on the ...

Abstract: Driver drowsiness poses a significant threat to road safety, contributing to numerous accidents globally, according to historical statistical data. This study provides an exhaustive overview ...

A real-time Driver Drowsiness Detection System built using Python, OpenCV, MediaPipe, and Django. The system monitors the driver's eyes through a webcam and detects drowsiness based on eye movement ...

Mobileye has announced that a leading US automaker will integrate the Mobileye Driver Monitoring System (Mobileye DMS) into future vehicles equipped with Mobileye’s EyeQ6L system-on-chip (SoC), with ...

Abstract: Fatigue remains one of the leading factors in road accidents, necessitating effective solutions for driver drowsiness detection. This study explores the potential of in-ear ...