A curated list of peer-reviewed papers on theoretical and practical aspects of drivers' attention used for paper "Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets" and report on "Behavioral research and practical models of drivers' attention".

No description provided.

Drowsiness Detector using Python. College Project with all Documents

This repo can detect and track user's eyes and mouth and alert when the user is feeling drowsy.

The "Driver Coach" system is based on a camera, sensors and machine learning algorithms. It monitors car driver behaviour and provides feedback to improve road safety. The system can be part of a larger Road Safety ECO system sharing data between driver and organisations (Smart City).

Various methods for drowsiness detection with Python.

Driver Drowsiness Detection

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.

Python application to assist drivers to alert when they feel drowsy and thus reduce the number of accidents.

Project is focused on the detection and extraction of a brain wave signal with the help of analog as well as digital circuitry. Using active electrodes on human scalp, the brain signals were fed into a series of hardware and software stages. Simple conscious movements such as blinking caused a change in the detected waveform. Although the project was not successful in discriminating between different motions or utilizes the signal to control an electrical device, the team was able to successfully separate and display the alpha waves after filtering off all associated unwanted signals.

Drowsiness detection system using EAR and MAR (Eye and Mouth Aspect Ratios) , dlib used to extract facial landmarks , drowsiness detected using eye closure rates and yawn counts.

DRIVER DROWSINESS DETECTION SYSTEM

A Python-based computer vision project that detects drowsiness using facial landmarks.

driver focus detection project.it monitors driver and raises alarm if the driver suddenly goes to sleep or he is not focused preventing road accidents

No description provided.

A real-time driver drowsiness detection system using computer vision to monitor eye movements. It alerts drivers with a buzzer when signs of fatigue are detected, helping prevent accidents.

Real-time drowsiness detection system using AI, FastAPI backend, and React Native mobile app

DROWSINESS IN ML

Drowsiness detector

A python application to detect the drowsiness of a driver and alerts with a wake up alarm when the driver feels drowsy.