Customizable Thresholds: The drowsiness detection thresholds are customizable, allowing for adaptation to individual driver preferences and varying road conditions. Efficient Performance: Our system ...

This project implements a drowsiness detection system using a Raspberry Pi, Pi Camera Module, and OpenCV. The system uses facial landmarks to detect if the user's eyes are closed for a prolonged ...

CAN Bus Module: Facilitates vehicle integration, allowing data sharing with other automotive systems. Alert Mechanisms: Buzzer, LEDs, and speakers provide real-time feedback based on the eye status.

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.

We designed a smart Driver Drowsiness Detection System using Raspberry Pi and Python that will keep track of a driver's eye movement.

The intention of this project is to create a prototype drowsiness detection system. This system works by means of monitoring the driver's eyes and sounding an alarm if he or she will become drowsy.