Design and Development of an Augmented Reality E-Commerce 3D models

Abstract

The world is becoming more modernized with augmented reality, and this paper proposes an idea for a new way to improve the user experience of all e-commerce platforms. This strategy makes use of Transient Chaotic Neural Networks (TCNN) to develop a new marker-less visual tracking system that makes use of pictorial information. It is made up of point correspondences between image sequences. The purpose of this is to provide the easy visualization of the dimensional importance of an object in the perspective of the user’s own near environment to facilitate the making of accurate purchase decisions. This is accomplished by using Vuforia to create a 3D representation of the target object, Unity3D and C# to serve as the application’s framework, and Wikitude for tracking the surrounding environment. The outcomes of the experiments provide evidence of both the effectiveness and efficiency of the proposed model.