Driver Drowsiness Detector detects if a driver or a person is drowsy or not, using their eye movements.

A system which alarms the driver as soon as it detects that the driver is becoming drowsy to prevent any accident.

Prototype of an intelligent safety system for detecting driver drowsiness

Driver drowsiness detection with face recognition.

This model can predict the drowsiness of a driver.

Driver Drowsiness Detection - A robust solution leveraging computer vision and machine learning. Unleash the power of facial and eye movement analysis for real-time fatigue alerts, contributing to an unparalleled level of road safety.

The Drowsiness Detection System is an intelligent safety application designed to reduce road accidents caused by driver fatigue. Using computer vision, the system employs a Convolutional Neural Network (CNN) trained to recognize facial features, specifically focusing on the eyes.

Creating a Driver Drowsiness Detection System Using Machine Learning

Real time drowsiness detection and alerting system based on deep learning (CNN) and object detection (Open Cv).

🛌 Detect drowsiness and emotions in real-time using your phone camera with a FastAPI backend and React Native app.