Abstract: Drowsiness and driver fatigue are significant contributors to road traffic accidents worldwide. Effective detection and intervention are crucial to prevent fatigued individuals from driving.

• Our main goal is to detect driver drowsiness using facial features with the help of computer vision, image processing and machine learning. • Features such as eye closure, blinking frequency, ...

In this project, we have thought of building a Driver Drowsiness Detection and Alerting System for Drivers using Arduino Nano, Eye blink Sensor, and RF Transceiver module. The basic purpose of this ...

So, in this project, we have thought of building a Driver Drowsiness Detection and Alerting System for Drivers using Arduino Nano, Eye blink Sensor, and RF Transceiver module. The basic purpose of ...

Discover our innovative project using Raspberry Pi and Arduino to create a robust sleep detection system for drivers. Learn how facial expressions, steering wheel behavior, and EEG signals are ...