A simple Drowsiness Detection module for humans. 😴 🚫 🚗

Driver Drowsiness Detector detects if a driver or a person is drowsy or not, using their eye movements.

drowsiness detection

A real-time drowsiness detection system for drivers, which alerts the driver if they fall asleep due to fatigue while still driving. The computer vision algorithm used for the implementation uses a trifold approach to detect drowsiness, including the measurement of forward head tilt angle, measurement of eye aspect ratio (to detect closure of eyes) and measurement of mouth aspect ratio (to detect yawning).

Realtime driver drowsiness detection (Sleep detection) using facial landmarks

A lightweight walkthrough accompanying the video on Drowsiness Detection using Ultralytics YOLOv5

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Drowsy driver detection using Keras and convolution neural networks.

A computer vision system made with the help of opencv that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy.

This is my First project done by me and my friends in College First SEM.

The supporting code used for the baseline temporal method on the UTA-RLDD dataset

new large-scale dataset for vision-based drowsiness detection

A project using Dlib, OpenCV Python based on facial landmark detection.

Python code to detect Drowsiness - Yawn and alert the user using Dlib.

Intelligent Driver Monitoring system for Autonomous Vehicles

AI-powered Driver Drowsiness Detection System using Computer Vision & Machine Learning for real-time driver alertness monitoring and accident prevention.

Drowsiness Detector using Python. College Project with all Documents

A Realtime CPU eye detector to detect if the eyes are open or closed

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

A car safety technology that can auto-detect driver drowsiness in real-time. This system can prevent road accidents that are caused by drivers who fell asleep while driving.

基于Perclos＆改进YOLOv7的疲劳驾驶DMS检测系统（源码＆教程）

To identify the driver's drowsiness based on real-time camera image and image processing techniques. 졸음운전 감지 시스템. OpenCV

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Tutorial LInk:-

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The Drowsiness Detection System uses YOLOv8 models to monitor drowsiness in real-time by detecting eye states and yawning. Built with Python and leveraging the GroundingDINO library for bounding box generation, this project offers real-time alerts through a PyQt5 interface.

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

In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (CAM) method for visualization. Results show that the model not only has a high accuracy but also learns biologically explainable features, e.g., Alpha spindles and Theta burst, as evidence for the drowsy state.