Come learn about YouAR’s upcoming AR Cloud SDK which provides the tech necessary to persistently anchor, multi-user AR experiences. YouAR’s unique cross-platform computer vision generates a “consensus network” of re-localizable AR anchors which enables experiences to remain stable in a changing environment. For applications involving mapping the most sensitive and private spaces, YouAR’s tech empowers the developer to control their own AR Cloud data on device or in the cloud. Our deployable point cloud management system even enables developers to host their own AR Cloud. Discover how YouAR’s unique AR Cloud solutions can enhance your applications.
Getting Started developing for Magic Leap: An overview guide and live demo of various features of the ML 1 live in Unity. See how to enable Controller tracking and input, enable spacial meshing and various objects and how to implement hand and eye tracking, all live with this session.
Due to their high efficiency and flexibility, web technologies are often the first choice when it comes to custom software development. Engaged communities and constantly improved open-source frameworks like React or Angular, facilitate the process even more.
We will show you how to create AR indoor navigation, establish remote assistance calls, display IoT data on machines, and configure a product in AR - all using the same platform.
Admix, a monetisation platform for Extended Reality (XR), recently announced the launch of the world’s first programmatic 3D ads for extended reality environments like VR and AR.
Join us to learn how to leverage the Admix SDK to start monetising your XR content today!
This session will cover Google's vision for immersive computing, bringing together its efforts in Lens and AR - all fueled by advances in computer vision and AI.
Audio augmented reality (AAR) is poised to become the new selling feature of headphones. Under the covers, AI and Machine Learning will propel new, sensor-driven audio augmented reality experiences. We’ll look at ways XR developers and Data Scientists can leverage AI and Machine Learning to enhance sensor driven experiences for a new breed of wearable audio devices.