Architecting Reality: Fusing Virtual and Augmented Worlds in Home Design with Python & OpenCV

Abstract

Augmented Reality (AR) is revolutionizing digital interaction by seamlessly integrating virtual components with real-world environments. This study explores an innovative approach to AR application development by integrating OpenCV with Python, leveraging computer vision and deep learning techniques. The proposed system consists of four primary modules: (1) an AI-driven ruler for real-time object measurement, (2) a QR code scanner enabling instant data retrieval, (3) a 2D-to-3D home plan conversion tool that transforms floor plans into three-dimensional models, and (4) an object detection-based AR overlay that superimposes 3D models onto real-world objects. These modules collectively enhance the accuracy, efficiency, and interactivity of AR applications, improving user experience across various domains.