Real-time object detection and augmentation
Master of Computer Applications, RV College of Engineering, Bengaluru, India.
Research Article
World Journal of Advanced Engineering Technology and Sciences, 2024, 12(02), 938–944.
Article DOI: 10.30574/wjaets.2024.12.2.0359
Publication history:
Received on 13 July 2024; revised on 28 August 2024; accepted on 30 August 2024
Abstract:
This study presents the development of a real-time object detection and augmentation system using TensorFlow and Unity it leverages TensorFlow model to identify and classify objects in real-time from a camera feed, and Unity to integrate and display corresponding 3D virtual objects in an augmented reality environment. By creating a mapping system to pair detected objects with their virtual counterparts, the system aims to enhance user interaction through dynamic and immersive AR experiences. The study addresses the challenges of real-time processing and seamless integration, demonstrating the potential of combining machine learning and augmented reality to enrich interactive applications across various domains.
Keywords:
Augmented Reality (AR); Machine Learning (ML); Object Detection; Object Recognition; Real-Time Object Detection; TensorFlow
Full text article in PDF:
Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0