The Device Pose Observer improves tracking robustness by using features of the environment surrounding the target. Īdvanced Topics Using Device Tracking with Image Targets To further aid in selecting which solution best fit your use case, please see Comparison of Device and Cloud Databases. See the Cloud Reco feature description for detailed guides. For use-cases with thousands of images or a constantly updated set of images, such as product-labels, newspapers, or magazines Vuforia Engine also offers a powerful cloud recognition technology in the cloud.Specific guides for each can be found here: As an alternative, Image Targets can also be created at runtime in both native and in the Unity Editor which doesn’t require you to upload the images.See the Vuforia Target Manager for a detailed guide. The Image Targets can thereafter be downloaded as a package suitable for integration in both native and Unity. It also lets you review the target's expected detection and tracking performance rating. The Target Manager processes the images to generate both data and visual representations of the target’s features. Upload the images to the Vuforia Target Manager for evaluation and processing.The second step is to create the actual Image Targets. See the guide Image Targets Optimization Techniques for tips and tricks to pick or design images providing better AR quality experiences. The first step is to design or select your target images and ensure they uphold the directions in the following guides for sizing, defining, and optimizing the images. Creating Image Targets consist of two steps. Image Targets can use any planar image that provides sufficient detail to be detected by Vuforia Engine. Creating and Managing Image Targets Preparing and Designing Images
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