Computer Vision-based Drowsiness Detection: The system employs computer vision techniques to monitor the driver's facial features, analyze eye movements, and detect signs of drowsiness in real-time.

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 ...

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 ...

ESP32: Serves as the processing unit for running the detection algorithm and handling communication tasks. Voltage Regulator & Power Module: Ensures stable power supply, critical for consistent ...

How does the Driver Drowsiness Detection System Work? A camera module connected to an RPi module continuously records video of the driver’s seat. A Python script then detects the face of the driver ...

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.

To learn more about the Speedir driver drowsiness monitoring system project, play the promotional video below. **Video will be added once the Kickstarter page goes live** ...