VOID CLOUD (VideoPlayback)

Note

Support：Android / iOS

OSX platform note: VOIDAR_Unity_v1.0_Beta4 does not support running on OSX platform, but building iOS app works OK.

---

Part 1. Introduction

VOID CLOUD (VideoPlayback) is to store the recognition data ( image target and video path) in cloud server, to run the recognition algorithm in cloud, to achieve Url video playback.

Part 2. Reading Guidelines

This tutorial is mainly to introduce how to process in Unity environment.

We assume that readers have basic experience in app development and unity usage.

For more unity3d usage information, please visit the official website of unity3d documentation.

Part 3. Development Environment

You need to install and prepare your development environment as below before you start.

OS

• Windows 7 or higher
• OS X 10.10 or higher

Unity Version Support

Unity3D Version	VOID AR SDK Full Features
5.6.x	Support All Features
2017.x	Support All Features
2018.x	Support All Features
2019.1.x	Support All Features
2019.2.0	Support All Features

Note

Unity3D of this tutorial: Unity 2017.4.13

Unity3D Download: https://unity3d.com/cn/get-unity/download/archive

Part 4. Implementation process

Step 1. Register and login the cloud platform

Open the cloud platform url, and register an accout and login.

Website Url: https://cloud.voidar.net

Step 2. Create Database for Cloud Recognition

Go to the cloud platform, the new user need to create a new database for recognition data management.

Click [ Create database ] , one database is allowed for each account.

Fill in your database name from poping interface (Chinese character is accepted).

This tutorial will set the name of the database as “VOID SLAM”.

After database setup, click [ save ] button.

After that, you will get your “Accsess Key” and “Secret Key” for later use.

Step 3. Cloud Resources management

Click the “VOID SLAM” in database management interface to go to the cloud resource management interface.

It is blank for new user. Click [ Upload Image ] button to add data.

The interface of upload is like below:

1 Resource name (Required, Chinese supported)

2 Customized data (For cloud video playback, fill in the url of the video)

3 Upload the recognition image (JPG only)

4 Select the assetbundle platform (For Cloud Image Recognition, skip for this tutorial)

5 Select the assetbundle file corresponding to the platform (For Cloud Image Recognition, skip for this tutorial)

Step 4. Open new Unity project

Open Unity with new project. Fill the Project name with “VOID CLOUD VideoPlay”, and select the location, and click [ Create project ].

Step 5. Import VOID AR SDK

Select[ Assets ] -> [ Import Package ] -> [ Custom Package... ], import VOID AR SDK.

Select the downloaded SDK file (.unitypackage), and click [ Open ] button.

Click [ Import ] from the prompted window. It takes minutes during the import process.

If there is a prompt window of “API Update Required” interface，please click [ I Made a Backup, Go Ahead! ].

Step 6. Delete Main Camera

Note

When you open the Unity3D, you will see the new scene in default. The new scene has two GameObjects: a "Main Camera" and a "Directional Light". We need to use the ARCamera from SDK, so please delete the default Camera.

Right click the "Main Camera” from the scene, and select [ Delete ].

Step 7. Drag the prefabs “ARCamera”

Expand the directory [ Assets ] -> [ VoidAR ] -> [ Prefabs ],

and drag the prefabs “ARCamera” to the scene.

When you finish the process, it shows as below:

Step 8. ARCamera Setup

Select ARCamera, and look up in the “Inspector” area on the right side, setup “Void AR Behaviour (Script)” properties.

• Set MarkerType = "Image", stands for image target recognition
• Set Simultaneous Tracking = "1", representing the number of simultaneous tracking marker is 1
• Check “Use Cloud”
• AccessKey: your accessKey from your account ( See step 2 )
• SecretKey: your secretKey from your account ( See step 2 )

Select the “ARCamera”, click [ Add Component ] to add “Cloud Controller” script.

After binding, it shows as below:

Step 9. Setup parameters of Cloud VideoPlayback

Back to the interface of Step 3, setup and upload the corresponding resource.

• Image filename = "Panda_VideoPlay"

• Upload Image file

• Set customize data = “https://www.voidar.com/download/Panda.mp4”

  Important

  The Video Url is recommended for.mp4

You can find the directory of the "image" file by checking in Unity and right click the "Panda.jpg" and select [ show in Explorer ] to check as below:

After upload is done, click [ save ] button.

After uploading, there will be a new record in the cloud resource database with evaluation score. The higher score, the better quality of the image marker.

Step 10. Save Scene

Select [ File] -> [ Save Scenes ] , click for saving your setup.

Setup the name as “VOID CLOUD VideoPlay”, and click [ save ] button.

Step 11. Debug

Warning

Make sure your PC is connected with a camera.

Click [ Play ] button.

Recognize successfully and complete debugging.

Step 12. Publishing Builds

Build Process includes Android, iOS.

Android

First, switch the PC platform to Android platform from [ File ] -> [ Build Settings... ].

Select Android tag, if the [ Switch Platform ] button is grey, you need to download the Unity Android Support. Please click on the right side of the [ Open Download Page ] button, download and install.

Click [ Switch Platform ] button, switch the platform to Android.

After switch process, close the Build Settings interface first, and continue with packing.

Select [ Edit ] -> [ Preferences... ], setup the preferences parameters.

Select “External Tools” option, setup Android SDK and JDK。

Note

If you do not have SDK and JDK, please click [ Download ] from the interface, it will guide you to download from the prompted website.

Or you can also download from links below:

SDK: https://developer.android.com/studio/index.html

JDK: https://www.oracle.com/technetwork/java/javase/downloads/jdk8-downloads-2133151.html

After the installation of SDK and JDK, you are able to setup their directory.

Select ARCamera, and look up in the “Inspector” area on the right side, setup “Void AR Behaviour (Script)” properties.

• Set Camera = "后置摄像头"(Rear camera)

Select [ File ] -> [ Build Settings... ], cancel all default scenes, and click [ Add Open Scenes ] button to add current scene into the build area.

It shows as below:

Setup parameters

Click [ Player Settings... ] button, check the “Inspector” area, setup the parameters as below or as your needs.

• Set Company = "VOIDAR"

• Set Product Name = "VOID CLOUD VideoPlay"

• Set Bundle Identifier= "com.VOIDAR.CLOUD"（ Cannot use default value, otherwise it fail to build. ）

• Important

  Cancel the selection of “Multithreaded Rendering” !

Finish the settings, and click [ Build ] button.

Set the file name as “VOID CLOUD VideoPlay”, and click [ save ] button to start building.

It takes minutes while building, please wait...

When the build is done, it will generate an apk file “VOID CLOUD VideoPlay.apk”.

Android Build is completed.

iOS

iOS Build requires Mac device ( such as MacBook Pro、MacBook、iMac、Mac mini etc. )

Switch the platform to iOS platform in Unity, and build Xcode project.

Warning

It is recommended to use Mac device to build Xcode project. If previously you make the project in Windows environment, you can export the Unity project as a unitypackage, or copy it to Mac device and build for xcode project.

Launch Unity and open the saved or copied VOID CLOUD VideoPlay project. ( Skip this step if project opened already )

Click [ Open ] button to open the project.

Switch to iOS platform in Unity, click [ File ] -> [ Build Settings... ].

Select iOS tag, if the [ Switch Platform ] button is grey, you need to download the Unity iOS Support. Please click on the right side of the [ Open Download Page ] button, download and install.

Click [ Switch Platform ] button, switch the platform to iOS.

Click [ Player Settings... ] button after switch.

Important

Cancel the selection of “Multithreaded Rendering”!

Important

Cancel the selection of “Strip Engine Code”!

Close the Build Settings interface, select ARCamera, check the “Inspector” area on the right side, setup the "Void AR Behaviour (Script)” properties.

• Set Camera = "后置摄像头"(Rear Camera)

Select [ File ] -> [ Build Settings... ], cancel all default scenes, and click [ Add Open Scenes ] button to add current scene into the build area.

It shows as below:

Finish the settings, and click [ Build ] button.

Set the project folder name “Output”, and click [ Save ].

Open the Xcode project.

Setup parameters

Filling in your configurations: your certificate, deployment target.

Click [ Unity-iPhone ] on the left side, config the parameters as below or by your customization:

• Display Name = "VOIDAR_Test"
• Bundle Identifier = "com.VOIDAR.Demo"
• Version = "1.0"
• Build = “1.0”
• Team = “Your Certificate”
• Deployment Target = “8.1”

Add Accelerate.framework

Select General tag and scroll down, click the "+" in the "Linked Frameworks and Libraries".

Select “Accelerate.framework” from the prompted window, and click [ Add ].

After doing that, you will see “Accelerate.framework” from the list of "Linked Frameworks and Libraries" as below:

Add camera usage privacy

Select “Info” tag, click the "+" below the "Supported interface orientations". Select “Privacy - Camera Usage Description” in the prompting list.

Set Enable Bitcode = “No”

Select ”Build Settings” tag, set Enable Bitcode = “No”.

Cancel armv7

Select "Build Settings" tab, expand Architectures, and select "Other...".

The pop-up interface, select "armv7" and click "-".

After canceling, the display is as below.

Connect iphone or ipad to the Mac device, Click [ Run ].

After building, there will be an application “VOIDAR_Test” built into your iphone or ipad.

The iOS build is done.

By here, VOID CLOUD ( VideoPlayback ) process is done.