Nature

Multi-body sensor based drowsiness detection using convolutional programmed transfer VGG-16 neural network with automatic driving mode conversion

To analyse brain signal activity using wavelet time frequency transform model and classification using multi-layer convolutional designed transfer VGG-16 neural network. It was first created by ...
Truckinginfo

Netradyne Introduces New Drowsy Driver Detection System

Netradyne said its new system works to detect both early and late stages of drowsiness as defined in research in academic literature. Netradyne introduced its new Driver Drowsiness with Driver ...
Nature

Exploiting heart rate variability for driver drowsiness detection using wearable sensors and machine learning

Driver drowsiness is a critical issue in transportation systems and a leading cause of traffic accidents. Common factors contributing to accidents include intoxicated driving, fatigue, and sleep ...
Fleet Owner

Netradyne achieves drowsy driving detection accuracy with DMS Sensor

Netradyne, a software as a service provider of artificial intelligence and edge computing, recently introduced its Driver Drowsiness with Driver Monitoring System Sensor. Building on years of sleep ...
Fleet Owner

Samsara’s AI-powered drowsiness detection now generally available

Samsara recently released its Drowsiness Detection feature to its customers worldwide. Drowsiness Detection uses Samsara’s comprehensive AI models—trained on its large-scale dataset—to detect signs of ...
Business Wire

Samsara’s AI-Powered Drowsiness Detection Now Generally Available to Customers Globally

SAN FRANCISCO--(BUSINESS WIRE)--Samsara Inc. ("Samsara") (NYSE: IOT), the pioneer of the Connected Operations ® Cloud, today launched its Drowsiness Detection feature into general availability for ...