Oculus Rift S

Now Compatible with Vizard and Vizible
WorldViz’s Python based VR software for researchers, Vizard, and Vizible, our no-coding VR creation and collaboration software for training and sales, are now natively compatible with the Oculus Rift S.

The Oculus Rift S provides you with easy “inside out” tracking, improved resolution, and a more comfortable form factor. This integration is made possible through our proprietary extensive hardware connection tool “VizConnect”. VizConnect allows you to connect to a wide range of 3D displays, VR headsets, motion tracking systems, data gloves, and much more using an easy GUI interface.
Oculus Rift S with Vizard and Vizible in Research Settings

The improved visual resolution of the Oculus Rift S and greater mobility of its inside-out tracking provides researchers and those building training applications for virtual reality with greater fidelity and more flexibility in how they can navigate and interact with virtual scenes. WorldViz’s Vizard and Vizible provide powerful yet easy to use ways to use the Oculus Rift S in your applications.
Vizible Low-Code VR Development and Collaboration

The Vizible virtual reality collaboration software is already changing the way organizations communicate, collaborate, and train. Instead of needing a developer or using complicated game engines to create VR, Vizible is low-code VR ‘for the rest of us’. As such, Vizible is used by professionals who create immersive presentations, and then hold immersive meetings presenting to colleagues, sales prospects, or trainees located anywhere around the globe. Watch our YouTube video on how to create your first VR presentation in minutes with Vizible.
Vizard VR Development for Scientific Grade VR

With its unique adaptability and extensibility, Vizard is a robust development environment for scientific grade VR, and has long been the chosen VR engine within the R&D community, whether in university or business settings. It allows researchers and innovators to build complex simulations that connect to VR headsets, CAVEs and Powerwalls, head/hand trackers and motion capture systems, and specialty devices such as eye trackers, haptic feedback devices, and bio-physiological sensors such as EEGs, EKGs and GSRs. And with an embedded Python interface, the user experience is friendly, straightforward, and open, which means users don't have to be a computer programmer to get started. The release of Vizard 6 builds on this foundation with features that cater directly to its core audience of researchers and innovators. Watch our Vizard 6 release on YouTube.



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