Drowsiness detector
-
Updated
Jun 30, 2020 - Python
Drowsiness detector
This repository contains the code and dataset used in the research paper "Driver's Companion: Drowsiness Detection and Emotion Based Music Recommendation System" published in the 2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS).
Machine learning project to detect if a person is drowsy.
Driver Drowsiness Detection using Machine Learning
Very Simple Python-based drowsiness detection system by utilizing computer vision and facial landmarks to enhance road safety.
A detection system that recognizes key characteristics of drowsiness and sends an alert when someone is drowsy before it's too late
This is a python project for drowsiness detection.
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 projec…
Computer Vision Project to detect drowsiness using live camera
Class wrapper of the yasa package to detect drowsiness/sleep phase using EEG data
This can be used for accident detection.
Detection of human error caused in driving of a four-wheeler vehicle to prevent accidents expeditiously.
Driver drowsiness detection using facial landmanrks, and modified aspect ratios, with support for calibration of ratios according to the user.
This project takes live images of the driver, detects the signs of possible drowsiness, and alarms the driver to their condition and thus helps to reduce the risk.
Driver Drowsiness Detection with YOLOv8 and Facial Features Combat driver fatigue with this deep learning-powered system that utilizes YOLOv8 to detect open and closed eyes, accurately assessing drowsiness levels.
Add a description, image, and links to the drowsiness-detection topic page so that developers can more easily learn about it.
To associate your repository with the drowsiness-detection topic, visit your repo's landing page and select "manage topics."