A tool to detect the driver face recognition and alert the driver with voice commands

This project is a real-time drowsiness detection system that uses computer vision to monitor a driver's eyes and sound an alarm if drowsiness is detected. It captures live video through a webcam, detects facial landmarks, and calculates the eye aspect ratio to determine if the driver's eyes are closed for an extended period, indicating drowsiness.

Morse code to text converter by detecting eye blink on the basis of EAR threshold using RANDOMFORESTCLASSIFIER model and HOG+SVM model

Simple web application analyzes user actions for video proctoring systems.

Drowsiness detection system with alert message and voice

Detect drowsiness in drivers using computer vision techniques.

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

This project tracks persons in a video.

The Pupil Detection AI ML program is used to get the co-ordinates of eyes and detect the pupil region. It only works with human face images.

Welcome to our drowsiness detection project using Python and the powerful dlib library! 😴 This repository hosts a user-friendly implementation to detect drowsiness in real-time using your computer's webcam. Our easy-to-understand Python code utilizes the dlib library's advanced facial landmark detection to monitor facial cues and alert users when

Computer vision examples in python using OpenCV and Dlib.

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

A service that processes images to align detected faces, and return the aligned face as a base64-encoded string.

Repositório do projeto apresentado no vídeo "Live de Python e OpenCV - Detecção e Reconhecimento de Faces" do canal Universo Discreto

Facial Recognition and Tracking Application using Deep Learning.

Drowsines detect when eyes closed alert them by alarm.

Eye blink detection with OpenCV and dlib implemented in Python

A drowsiness monitoring system for drivers.

This project focuses on implementing a face recognition system using machine learning techniques. The goal is to develop a system that can accurately identify and recognize faces from images or video streams.

The AI Face Recognition System is a cutting-edge project that utilizes artificial intelligence to transform face recognition technology. Equipped with advanced algorithms and neural networks, this system delivers unparalleled accuracy and speed in identifying individuals based on their distinctive facial features