Drowsiness Detector using Python. College Project with all Documents

Driver Drowsiness Detection System for Road Safety

Apply deeplearning for detecting and warning of driver drowsiness

Python project on driver drowsiness detection system. Uses OpenCV and keras to detect drowsiness by analyzing eyes of user. Custom model has been trained on dataset of open and closed eyes of humans. Webapp has been built using Django and Api is built using flask framework.

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.

Real-Time Drowsiness Identification based on Eye State Analysis

Flask Integrated Classifier Model for Closed or Open Eye Detection

Very Simple Python-based drowsiness detection system by utilizing computer vision and facial landmarks to enhance road safety.

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

Drowsy Driver Detection

This is a python project for drowsiness detection.

The Drowsiness Detection System is an intelligent safety application designed to reduce road accidents caused by driver fatigue. Using computer vision, the system employs a Convolutional Neural Network (CNN) trained to recognize facial features, specifically focusing on the eyes.

A Python script that checks driver attentiveness using machine learning computer vision.

This repo contains the fine-tune implementation of a drowsy detection system, using a YOLO v11 base model.

It is machine learning based model used for detecting the drowsiness of a person. Can be used in vehicles.

This project is made by me as our data science project

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