AR in Professional Training

Tutorial 3 of 5

AR in Professional Training

1. Introduction

Goal of the Tutorial

This tutorial aims to provide a comprehensive understanding of how Augmented Reality (AR) can be applied in professional training scenarios.

Learning Outcomes

By the end of this tutorial, you will have a solid understanding of AR concepts, and you will be able to create a simple AR application that can be used for professional training.

Prerequisites

  • Basic knowledge of programming (preferably in JavaScript)
  • Familiarity with Unity3D and Vuforia

2. Step-by-Step Guide

AR is a technology that overlays digital information on the real world, providing a composite view. It has vast potential in professional training, from healthcare to manufacturing, as it can simulate real-world scenarios for hands-on learning.

We will use Unity3D and Vuforia, popular tools for creating AR experiences, to create a simple AR training application.

Install Unity3D and Vuforia

Firstly, you need to install Unity3D and Vuforia. Unity3D is a powerful game development engine, and Vuforia is an AR software development kit that works perfectly with Unity3D.

Create a New Project

After installation, open Unity3D, create a new 3D project, and name it "ARTraining".

Import Vuforia Engine

Next, import the Vuforia Engine to your project. Go to Window > Package Manager > Vuforia Engine > Import.

Set Up Scene

Set up your AR camera and image target. The AR camera is your device's camera, and the image target is the real-world object that will trigger the AR experience.

Add AR Content

Finally, add your AR content. This can be 3D models, images, videos, etc., that will appear when the image target is recognized.

3. Code Examples

Since this is an introductory tutorial, we will focus on setting up the AR camera and image target.

// Attach this script to your AR camera

using System.Collections;
using System.Collections.Generic;
using UnityEngine;
using Vuforia;

public class ARCamera : MonoBehaviour
{
    void Start()
    {
        // Enable the camera
        var vuforia = VuforiaRuntime.Instance;
        vuforia.InitVuforia();
        CameraDevice.Instance.Start();
    }
}

The above code snippet starts the device's camera when the app starts.

// Attach this script to your image target

using System.Collections;
using System.Collections.Generic;
using UnityEngine;
using Vuforia;

public class ImageTarget : MonoBehaviour
{
    void Start()
    {
        // Enable the image target
        var imageTarget = GetComponent<ImageTargetBehaviour>();
        if (imageTarget)
        {
            imageTarget.RegisterOnTrackableStateChanged(OnTrackableStateChanged);
        }
    }

    void OnTrackableStateChanged(TrackableBehaviour.Status previousStatus, TrackableBehaviour.Status newStatus)
    {
        // When the image target is recognized, show the AR content
        if (newStatus == TrackableBehaviour.Status.DETECTED ||
            newStatus == TrackableBehaviour.Status.TRACKED ||
            newStatus == TrackableBehaviour.Status.EXTENDED_TRACKED)
        {
            OnTargetFound();
        }
    }

    void OnTargetFound()
    {
        // This is where you add the code to display your AR content
    }
}

The above code snippet enables the image target and shows the AR content when the image target is recognized by the AR camera.

4. Summary

In this tutorial, we covered the basics of AR and how it can be used in professional training. We also walked through the process of creating a simple AR application using Unity3D and Vuforia.

The next steps would be to learn more about different types of AR content and how to create them. You can also explore other AR tools such as ARKit for iOS and ARCore for Android.

5. Practice Exercises

  1. Create an AR application that displays a 3D model of a human heart when a specific image target is recognized.

This is a great exercise for those interested in healthcare training. You can find 3D models online or create your own.

  1. Create an AR application that shows a video tutorial when a specific image target is recognized.

This can be applied in various professional training scenarios, such as repairing a machine or cooking a dish.

Remember, the key to learning is practice. Happy coding!