AI-powered Driver Drowsiness Detection System using Computer Vision & Machine Learning for real-time driver alertness monitoring and accident prevention.

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

SafeDriveVision is a computer vision project aimed at enhancing road safety. This project leverages deep learning models to detect and alert in real-time the dangerous behaviors of drivers, such as using a phone while driving or showing signs of drowsiness.

This is a system which can detect the drowsiness of the driver using CNN - Python, OpenCV

Driver Drowsiness Detection System

🚗 Driver Drowsiness Detection with Deep Learning (PoC) 🧠 A personal experiment comparing CNN + MobileNetV2 and YOLOv11 for real-time drowsiness detection. Focused on evaluating accuracy and efficiency to explore AI’s potential in preventing fatigue-related accidents. 😴⚡ A hands-on dive into safety-driven computer vision.

Drowsiness Detection

Aware Driving (AD) is a mobile app that will assist you while you are driving.

Prototype of an intelligent safety system for detecting driver drowsiness

Driver’s status is crucial because one of the main reasons for motor vehicular accidents is related to driver’s inattention or drowsiness. Drowsiness detector on a car can reduce numerous accidents.

Automated Driver Drowsiness Control Technology Using Artificial Intelligence-based Decision Support System using Google Vision API.

Embeded System Project - Driver Drowsiness Detection

This is an Android Application made to alert the passengers in a vehicle if their driver is sleeping or is in a state of drowsiness.

A system that monitors the driver’s face from when the car starts. This mainly helps us to completely monitor the driver’s eye blinking and observe it continuously

Computer Vision model to detect eyes and alert when the user is drowsy.

🚨 Detect accidents in images using AI and initiate emergency responses for smarter city and traffic management.

This software is a real-time drowsiness detection system that will constantly monitor the driver's eyelids and detect sleepiness patterns. If it detects any signs of drowsiness, it will ring an alarm in hopes of alerting the driver.

A real-time drowsiness detection system built with OpenCV, dlib, and deep learning landmarks, designed to enhance driver safety by monitoring fatigue.

Detecting Driver Drowsiness using OpenCV and TensorFlow