MadhumithaKolkar / Quantum_AR

Quantum_AR

Overview

Quantum_AR is an augmented reality (AR) application that overlays digital content onto live camera feeds in real-time. Using computer vision techniques, this project detects keypoints in an input image, matches them with keypoints in a live camera feed, and seamlessly integrates digital augmentations into the real-world scene. It offers an immersive AR experience by combining feature detection, feature matching, and perspective transformation to align digital content with physical surfaces.

Features

• Real-time augmented reality overlay
• Feature detection using ORB algorithm
• Feature matching using FLANN-based matcher
• Perspective transformation and augmentation

Installation

1. Clone the repository:

   git clone https://github.com/your-username/Quantum_AR.git
   

Install dependencies:

pip install opencv-python

Usage

• Place your input image as The_kid_who_came_from_space_Camera.jpg and your augmentation image as mask.jpg in the project directory.
• Run Augmentation.py
• Point your camera towards a scene to see the augmented reality overlay in action.

Link : https://www.linkedin.com/posts/madhumithakolkar_computervision-realtime-augmentation-activity-7191706961178947586-_LUZ?utm_source=share&utm_medium=member_desktop

Credits Developed by Madhumitha Kolkar

License This project is licensed under the MIT License