Drowsy driving detection challenges are tough for fleets to manage. Dr. Stefan Heck of Nauto explains how AI helps identify fatigue and improve safety.

What if you could replace a $20,000 military-grade router with a DIY system costing just $106.23? It sounds improbable, but thanks to open source ingenuity and affordable hardware, it’s entirely ...

Abstract: Fatigued drivers are one of the primary causes of traffic accidents. This project proposes a real-time drowsiness detection system that uses the Raspberry Pi, OpenCV, and Haar Cascade ...

The Starter Kit GenX320 is a power-efficient, event-based camera designed for the Raspberry Pi 5 that detects events with a latency of less than 150 μs, or the equivalent of about 10,000 FPS. The ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Abstract: Driver drowsiness causes road accidents as the drowsiness or sleepiness affects the ability of the driver to focus. Drowsiness may happen due to variety of reasons such as lack of sleep, ...

Imagine walking through a crowded city street, your phone buzzing with notifications, unaware that hidden among the sea of signals is a device quietly tracking your every move. Or perhaps you’re at ...