Build an AI Powered AR Character in Unity with ARKit
Augmented reality allows a lower barrier to entry for both developers and end-users thanks to framework compatibility in phones and digital eyewear.
When the reader has completed this Code Pattern, they will understand how to:
- Add IBM Watson Speech-to-Text, Assistant, and Text-to-Speech to Unity with ARKit to create an augmented reality experience.
- User interacts in augmented reality and gives voice commands such as “Walk Forward”.
- The iPhone microphone picks up the voice command and the running application sends it to Watson Speech-to-Text.
- Watson Speech-to-Text converts the audio to text and returns it to the running application on the iPhone.
- The application sends the text to Watson Assistant. Watson assistant returns the recognized intent “Forward”. The intent triggers an animation state event change.
- The application sends the response from Watson Assistant to Watson Text-to-Speech.
- Watson Text-to-Speech converts the text to audio and returns it to the running application on the iPhone.
- The application plays the audio response and waits for the next voice command.
- IBM Watson Assistant: Create a chatbot with a program that conducts a conversation via auditory or textual methods.
- IBM Watson Speech-to-Text: Converts audio voice into written text.
- IBM Watson Text-to-Speech: Converts written text into audio.
- Unity: A cross-platform game engine used to develop video games for PC, consoles, mobile devices and websites.
- Unity ARKit Plugin: A Unity plugin for ARKit functionality to create augmented reality experiences on iPhones.
1. Before You Begin
2. Create IBM Cloud services
On your local machine:
git clone https://github.com/Amara-Keller/Watson-Unity-ARKit.git
In IBM Cloud:
- Create a Speech-To-Text service instance.
- Create an Assistant service instance.
- Create a Text-to-Speech service instance.
- Once you see the services in the Dashboard, select the Assistant service you created and click the button.
- After logging into the Assistant Tool, click the button.
- Import the Assistant
voiceActivatedMotionSimple.jsonfile located in your clone of this repository.
3. Building and Running
Note: This has been compiled and tested using Unity 2018.2.9f1 and Watson Unity SDK from the Unity Asset Store version v2.10.0 as of October 15, 2018 and tested with the
developbranch of the github unity-sdk as of
commit 68f4497 Oct 10.
Note: If you are in any IBM Cloud region other than US-South you must use Unity 2018.2 or higher. This is because Unity 2018.2 or higher is needed for TLS 1.2, which is the only TLS version available in all regions other than US-South.
- Either download the Watson Unity SDK from the Unity asset store or perform the following:
git clone https://github.com/watson-developer-cloud/unity-sdk.git
For the github version make sure you are on the develop branch.
Open Unity and inside the project launcher select the button.
Navigate to where you cloned this repository and open the
If prompted to upgrade the project to a newer Unity version, do so.
Follow these instructions to add the Watson Unity SDK downloaded in step 1 to the project.
Follow these instructions to create your Speech To Text, Text to Speech, and Watson Assistant services and find their credentials (using IBM Cloud You can find your workspace ID by selecting the expansion menu on your assistant workspace and selecting
In the Unity Hierarchy view, click to expand under
In the Inspector you will see Variables for
Speech To Text,
Text to Speech, and
CF Authenticationfor the Cloud Foundry username and password, or the
IAM Authenticationif you have the IAM apikey. Since you only have only one version of these credentials, fill out only one of the two for each service.
Fill out the
Speech To Text Service Url,
Text to Speech Service Url, the
Assistant Service Url, the
Assistant Workspace Id, and the
Assistant Version Date.
- To Build for iOS and deploy to your phone, you can File -> Build Settings (Ctrl + Shift +B) and click Build.
- When prompted you can name your build.
- When the build is completed, open the project in Xcode by clicking on
- Follow steps to sign your app. Note - you must have an Apple Developer Account.
- Connect your phone via USB and select it from the target device list at the top of Xcode. Click the play button to run it.
- Alternately, connect the phone via USB and File-> Build and Run (or Ctrl+B).
AR features are only available on iOS 11+ and can not run on an emulator/simulator. Be sure to check your player settings to target minimum iOS device of 11, and your Xcode deployment target (under deployment info) to be 11 also.
In order to run the app you will need to sign it. Follow steps here.
- Artificial Intelligence Code Patterns: Enjoyed this Code Pattern? Check out our other AI Code Patterns.
- AI and Data Code Pattern Playlist: Bookmark our playlist with all of our Code Pattern videos
- With Watson: Want to take your Watson app to the next level? Looking to utilize Watson Brand assets? Join the With Watson program to leverage exclusive brand, marketing, and tech resources to amplify and accelerate your Watson embedded commercial solution.
This code pattern is licensed under the Apache Software License, Version 2. Separate third party code objects invoked within this code pattern are licensed by their respective providers pursuant to their own separate licenses. Contributions are subject to the Developer Certificate of Origin, Version 1.1 (DCO) and the Apache Software License, Version 2.