Book Image

Enterprise Augmented Reality Projects

By : Jorge R. López Benito, Enara Artetxe González
Book Image

Enterprise Augmented Reality Projects

By: Jorge R. López Benito, Enara Artetxe González

Overview of this book

Augmented reality (AR) is expanding its scope from just being used in mobile and game applications to enterprise. Different industries are using AR to enhance assembly line visualization, guide operators performing difficult tasks, attract more customers, and even improve training techniques. In this book, you'll gain comprehensive insights into different aspects of developing AR-based apps for six different enterprise sectors, focusing on market needs and choosing the most suitable tool in each case. You'll delve into the basics of Unity and get familiar with Unity assets, materials, and resources, which will help you build a strong foundation for working on the different AR projects covered in the book. You'll build real-world projects for various industries such as marketing, retail, and automation in a step-by-step manner. This will give you hands-on experience in developing your own industrial AR apps. While building the projects, you'll explore various AR frameworks used in the enterprise environment such as Vuforia, EasyAR, ARCore, and ARKit, and understand how they can be used by themselves or integrated into the Unity 3D engine to create AR markers, 3D models, and components of an AR app. By the end of this book, you'll be well versed in using different commercial AR frameworks as well as Unity for building robust AR projects.
Table of Contents (10 chapters)

AR on the go – using Ground Plane

Vuforia's main feature that's used to place virtual objects on the user's environment in real time is called Ground Plane. We are going to use this feature to create an app to place 3D content on horizontal surfaces of the real world, such as floors and tables. 

Starting with Vuforia 7, the SDK introduced a new capability, called Vuforia Fusion, to improve the performance of spatial recognition according to each device's features, including cameras, sensors, chipsets, and internal AR frameworks. Vuforia Fusion tries to detect integrated frameworks such as ARKit (iOS) or ARCore (Android), which offer the best performance. If none are found, it tries to use VISLAM and SLAM, respectively.

Simultaneous localization and mapping (SLAM) algorithms estimate the pose of an object and the map of the surrounding...