Prototype of an intelligent safety system for detecting driver drowsiness
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Updated
Jul 4, 2024 - C++
Prototype of an intelligent safety system for detecting driver 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.
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.
Data Science / Computer Vision Project: Driver Drowsiness Detection
Aware Driving (AD) is a mobile app that will assist you while you are driving.
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.
Drowsiness Detection
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.
Detecting Driver Drowsiness using OpenCV and TensorFlow
Creating a Driver Drowsiness Detection System Using Machine Learning
A Computer-vision based project to detect a driver’s drowsiness based on facial features using Python.
This is a system which can detect the drowsiness of the driver using CNN - Python, OpenCV
Driver drowsiness detection with face recognition.
Automated Driver Drowsiness Control Technology Using Artificial Intelligence-based Decision Support System using Google Vision API.
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
Driver Drowsiness Detection System
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.
Real time drowsiness detection and alerting system based on deep learning (CNN) and object detection (Open Cv).
A python application to detect the drowsiness of a driver and alerts with a wake up alarm when the driver feels drowsy.
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