A real time, webcam based, driver attention state detection/monitoring system in Python3 using OpenCV and Mediapipe

Real-time drowsiness detection using Python, MediaPipe, and EAR to monitor driver fatigue and prevent accidents.

While drunk or drowsy people can’t react to stimuli efficiently in the environment, thus we intend to check for a verbal response from the driver upon detecting anomalous driving patterns. IMU tracker upon detecting frequent changes in acceleration and sharp turns triggers the voice assistant, checking up on the driver’s state and takes further …

MVP for detecting drowsiness of driver using the eye lids of the driver, if the driver seems to be drowsy it gives an alarm

IoT-based system for real-time driver drowsiness detection using ESP32 and cloud services for monitoring and alerts.

While drunk or drowsy people can’t react to stimuli efficiently in the environment, thus we intend to check for a verbal response from the driver upon detecting anomalous driving patterns. IMU tracker upon detecting frequent changes in acceleration and sharp turns triggers the voice assistant, checking up on the driver’s state and takes further …

This repository contains source code in Arduino for the project-"Driver Safety Enhancement System", that was carried out in Hackathon: "Byte-Camp'19"

Proyecto 1 - Programacion Concurrente Y Paralela

Safe Steer enhances driver safety by using sensors and a camera on the steering wheel to prevent distractions and alert drivers if they're drowsy or inattentive🚗✨.

Driver Behaviour Analysis System (DBAS) is a ROS-based driver monitoring system utilizing OpenCV, Dlib, and YOLOv5 to detect and alert on drowsiness, device usage, and other behaviors during driving.

A real-time driver fatigue detection system using computer vision. This project monitors eye movements to detect drowsiness and alerts the driver with a visual and audible warning when fatigue is detected. Built with OpenCV, dlib, and Python, it's designed for enhancing driver safety.