SafeDriveVision is a computer vision project aimed at enhancing road safety. This project leverages deep learning models to detect and alert in real-time the dangerous behaviors of drivers, such as using a phone while driving or showing signs of drowsiness.

Our college minor project is a comprehensive solution aimed at enhancing road safety. The project comprises two main components: an Accident Detection Model and a Real-Time Driver Drowsiness System.

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

This is a repository to test my skills with image processing, image recognition and artificial intelligence.

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.

Face Morphing Java Android app.

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

python, opencv, flask, dlib-face-detection,open-cv, html, css, javascript

Build automation for the dlib project

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.

Face recognition HTTP microservice

Used DeepFace lib to detect the emotion of the face:)

Compilation of small computer vision projects

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.