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.

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

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

Driver Drowsiness Detection System

Data Science / Computer Vision Project: Driver Drowsiness Detection

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

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

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

Successfully established a deep learning model which can accurately predict the drowsiness state of an individual and thereby alert a driver who is in a drowsy state for preventing fatal accidents.

Drowsiness Detection

Driver drowsiness detection with face recognition.

In this project we will train our model on open and close eyes dataset then use that with face recognition library to check if the driver is sleeping or not.

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.

Project topic is DrowsiShield that ensures drivers safety. The main aim of this system is to avoid accidents by instantly detecting the driver’s level of drowsiness and sending alerts through audio and haptic stimulation.

Prototype of an intelligent safety system for detecting driver drowsiness

A Computer-vision based project to detect a driver’s drowsiness based on facial features using Python.

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.

Detecting Driver Drowsiness using OpenCV and TensorFlow

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.