Fatigue and distraction cause over 100,000 crashes annually. Motive is tackling this head-on with new AI models designed to detect early risk signals—including eating and ...

Lytx says the professional review step of its Fatigue Detection feature means 90% accuracy, compared to other fatigue solutions with accuracy rates below 50%. It uses machine vision and artificial ...

Fatigue and distraction remain leading causes of preventable crashes, yet many signals go undetected until after an incident occurs.

Guardian Generation 3 features refined microsleep detection and eye-gaze tracking which Seeing Machines said enhances its ability to accurately detect distracted driving. Seeing Machines, an advanced ...

Rear View Safety has released the new Vuemate RVS-330 Driver Fatigue Monitoring System. The product is designed from the ground up to address the issue of drivers who get drowsy and fall asleep behind ...

However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early ...

Pulse-wave monitoring has become a promising route for noninvasive health tracking, but it faces a stubborn real-world problem: the pulse is faint, while the pressure from straps, patches, and uneven ...

Fleet technology provider Samsara has released a new safety feature that proactively detects and mitigates drowsy driving through artificial intelligence. The company’s Drowsiness Detection feature ...

By 2027, every new vehicle sold in the United States could come with something many drivers never asked for: a built-in ...