AR Image Recognition and Tracking App

Associate Professor Dr. M. Supriya, Nithin.A, Karthikeyan.S, Kishore Kumar.M, Nelson Solomon Fernandes.S

Abstract- – This project focuses on developing a method for implementing augmented reality (AR) image tracking in a 3D environment using Unity, Vuforia, and Blender. By integrating these technologies, we enable immersive AR experiences where virtual objects interact with real-world images. The approach begins with selecting an image as the target for AR tracking, serving as the anchor for virtual content placement. Unity provides the platform for creating and managing the AR scene, while Vuforia handles image recognition and tracking. Blender is used to design and animate 3D models, which are then imported into Unity and anchored to the tracked image. Unity’s scripting capabilities allow for interactivity and dynamic behavior of virtual objects, ensuring a seamless AR experience. This method enables users to view and interact with 3D objects overlaid onto real-world images in real-time. The proposed technology has broad applications in education, gaming, marketing, and simulation, offering innovative ways to enhance user engagement and interaction.

DOI: /10.61463/ijset.vol.12.issue2.693