2017.
Welcome to VOID AR
VOID AR is devoted to the continuous development of new AR technology in order to fulfill the AR developers with ultimate imaginaries, creativities and more high quality AR contents.
You can learn to use our products from here if you are trying VOID AR for the first time.
Image Target Recognition(Multi-Targets)
Part 1. Introduction
Use more than one images full of features as the markers for accurate recognition and tracking.
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 handling the models:
OS
- Windows 7 or higher
- OS X 10.10 or higher
Unity Version
Unity3D Version: 5.2.x - 5.6.x ( 32bit or 64bit ) , 2017.1
We recommends Unity3D 5.4 or above for better renderring quality.
Download: https://unity3d.com/cn/get-unity/download/archive
Unity3D of this tutorial: 5.5.2 ( 64bit )
Part 4. Implementation process
Step 1. Open new Unity project
Open Unity with new project. Fill the Project name with “ImageTarget_multi”, and select the location, and click [ Create project ].
Step 2. 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 3. Delete Main Camera
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 4. Drag the prefabs “ARCamera” and “ImageTarget”
Expand the directory [ Assets ] -> [ VoidAR ] -> [ Prefabs ], and drag the prefabs “ARCamera” and “ImageTarget” to the scene.
To achieve multi-targets recognition, you need to drag the corresponding number of “ImageTarget” into the scene.
This tutorial will make 2 multi-targets for recognition, so we will drag 2 “ImageTarget”s into the scene.
Caution: For better performance, due to the cellphone capability, we suggest that the number of multi-targets on the screen at the same would better not to exceed more than 6.
When you finish the process, it shows as below:
Step 5. 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 = "2", stands for the tracking marker number is 2 at the same time
Step 6. Marker Setup
Select ImageTarget, look up the “Inspector” area on the right side, setup the “Image Target Behaviour (Script)” properties.
- Set Image File Path = "1yuan.jpg", the format is “filename”+“Suffix JPG”
Caution: Marker file must locate in [ Assets ] -> [ StreamingAssets ] folder, the ImageTarget of "1yuan.jpg" is a built-in SDK image file.
For ImageTarget (1)'s image file, we set it to be the back of 10 bill of Chinese Yuan.
Right click StreamingAssets, and select [ Import New Asset... ], then select "10yuan.jpg" to import from the prompting interface.
After that, you will see as below:
Select ImageTarget (1) and check the “Inspector” area on the right side, and set Image File Path = "10yuan.jpg".
Step 7. Model Setup
You need to have your model for recognition under the ImageTarget and ImageTarget (1).
Right click the “ImageTarget” in the scene, add a 3D model “Cube”.
Select the “Cube”, adjust its size and position.
Right click the “ImageTarget (1)” in the scene, add a 3D model “Sphere”.
Select the “Sphere”, adjust its size and position.
Step 8. Save Scene
Select [ File] -> [ Save Scenes ] , click for saving your setup.
Setup the name as “ImageTarget_multi”, and click [ save ] button.
Step 9. Debug
Make sure your PC is connected with a camera, and click [ Play ] button.
Recognize successfully and complete debugging.
Step 10. Build for Android or iOS
Build Process includes Android and 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。
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#Other
JDK: http://www.oracle.com/technetwork/java/javase/downloads/index.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 defalt scenes, and click [ Add Open Scenes ] button to add current scene into the build area.
It shows as below:
Click [ Player Settings... ] button, check the “Inspector” area, setup the parameters as below or as your needs.
- Set Company = "VOIDAR"
- Set Product Name = "ImageTarget_multi"
- Set Bundle Identifier = "com.VOIDAR.ImageTarget"
Caution: Bundle Identifier cannot use default, otherwise it fail to build.
Finish the settings, and click [ Build ] button.
Set the file name as “ImageTarget_multi”, 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 “ImageTarget_multi.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.
Caution: It is recommended to use Mac device to build Xcode project. If previously you make the project in Windows environment, you can copy the whole Unity directory of this project to Mac device and build for xcode project.
Lauch Unity and open the saved or copied ImageTarget_multi 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.
Close the Build Settings interface after switch.
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 defalt 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.
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”
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.
Select ”Build Settings” tag, set Enable Bitcode = “No”.
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, Image Multi-Target Recognition process is done.