Next, let’s look at Setting up the scene. Under that check, the Vuforia Augmented Reality Supported to true. Once you have set your target platform under Build Settings, in my case I’m using iOS, go to -> Edit -> Project Settings -> Player -> XR Settings.

This is what we’ll be building and what the end result will look like. When a specific image is identified we’ll make a cylinder appear on it. With this tutorial, you will learn how to integrate Vuforia with Unity and creating a simple Image recognition and tracking application. Common uses of Image Recognition would be augmenting printed media, marketing campaigns, gaming, and visualizing products in the environment, etc. You may want to identify a specific image or object and track it or interpret what is front of the smartphone camera. Image recognition and interpretation is a much-requested task and has very wide applications. Since it is platform-independent, it can be used with virtually any platform. It can be found under the XR settings page. Just like arkit and arcore, Vuforia has native engine integration with Unity. By the sheer amount of supported devices, Vuforia outranks the rest, allowing us to add computer vision functionality that doesn’t really warrant the use of arcore or arkit. Far more than what arcore and arkit support. Vuforia with Unity provides a cross-platform AR development SDK with support for the majority of the android and iOS devices out there.

For example, detecting an image and tracking it. Sometimes we would want to do something very simple with AR.

IntroductionĪlthough, we have advanced tracking and AR features with ARKit and ARCore. If there are any typos do let us know and I hope you enjoy this tutorial and project. Double checking the code, writing the tutorial and then posting it. This is part of a 30 day sprint where we try to publish 30 projects in 30 days, this means building full projects from scratch.

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