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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.

Introduction of Prefab(ARCamera)

Function: The camera for rendering AR scene and AR effect. It is an extension to Unity built-in perspective camera with the function to show user's device camera.

ARCamera_01.png

Binding Script: VoidARBehaviour

VoidARBehaviour is the entrance of VoidAR SDK, which includes the core settings  of the SDK:

Camera Device: Setup of device camera, includes ”后置摄像头(Rear Camera)” (Default) and “前置摄像头(Front Camera)”.

MarkeyType: the type of AR scene:

    - Image  AR scene with image marker, recognize and track accurately;

ARCamera_02.png

        Simultaneous Tracking:  the number of recognition and tracking at the same time. 1 for default which stands for single target recognition and tracking, otherwise it stands for multi-target recognition and tracking;

        Use Cloud:  Whether to use cloud service. After checking this option, you need to fill in your developer account info to use the cloud service as below:

ARCamera_03.png

        You can obtain your AccessKey and SecretKey from our cloud platform https://cloud.voidar.net by register a developer account.

        Extension Tracking: Whether to use vision tracking extension, support only for local recognition.

    - Shape  AR hand-draw scene with marker, fuzzy recognition ( Hand-Draw recognition is only supported in early version of VOID AR SDK );

    - Markerless  AR scene without markers, SLAM for tracking. Developer account info required; 

ARCamera_04.png

        MarkerlessNode is the tracking target. When the SLAM is run, MarkerlessNode controls the target's Transform.

    - Extension Tracking  Image marker for recognition, SLAM for tracking. Developer account info required; 

        Extension Tracking function is as same as Image type. The difference is when the recognition is successful, the tracking is based on the real environment and the movement of your device ( Separable with markers ).


Caution:The resolution of the camera image of the running device hardware is 1280x720 for the ARCamera, and the automatic continuous focusing mode is adopted on the mobile device.