There are 7 repositories under driver-drowsiness-detection topic.
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.
Computer Vision model to detect eyes and alert when the user is drowsy.
Automated Driver Drowsiness Control Technology Using Artificial Intelligence-based Decision Support System using Google Vision API.
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.
Drowsiness Detection
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.
Driver drowsiness detection with face recognition.
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.
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.
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 Computer-vision based project to detect a driver’s drowsiness based on facial features using Python.
A python application to detect the drowsiness of a driver and alerts with a wake up alarm when the driver feels drowsy.
Real time drowsiness detection and alerting system based on deep learning (CNN) and object detection (Open Cv).
Creating a Driver Drowsiness Detection System Using Machine Learning
Detecting Driver Drowsiness using OpenCV and TensorFlow
YOLOv8 Driver drowsiness detection Deep learning project Enhanced by algorithm based on Facial Features
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