Lynx-R2 is an open-design Mixed Reality headset with a flip-up visor and 3K colour passthrough, designed for professional use.
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Lynx-R2
Lynx-R2 is a mixed reality headset designed for professional, industrial and medical applications. Its open design and flip-up visor let you switch quickly between digital content and your surroundings. The headset offers colour passthrough and a wide field of view. It runs on Snapdragon XR2 Gen 2 with Android-based LynxOS and OpenXR.
Lynx-R2 uses curved pancake lenses, which fit high image quality into a compact housing. Two LCD panels provide 2312×2160 pixels per eye, a 90 Hz refresh rate and 24 pixels per degree at the centre and 17 at the edges. The viewing experience depends on headset fit and content.
Headsets offer a 126° horizontal and 103° vertical field of view. The visible field depends on fit; this does not promise an image without visible edges.
Thanks to an open peripheral design and a flip-up visor you can look at a keyboard, notes or another person without removing the headset. The flip-up visor provides a direct view of your surroundings. Resuming content depends on the app; the design alone does not establish suitability for a particular workplace.
You see your surroundings through two RGB cameras with 2464×2464 resolution. Passthrough quality and the legibility of small details depend on lighting, distance and the app.
Tracking uses four black-and-white cameras, an iToF sensor with 672×804 resolution and two infrared illuminators. Tracking performance depends on the surroundings and app; no unverified fixed latency is promised.
Yes. The flip-up visor and open peripheral design let you look at the real environment, such as a keyboard or another person, in one movement without removing the headset.
The headset uses Qualcomm Snapdragon XR2 Gen 2, 16 GB RAM and 128 GB storage. Check the required app's compatibility and performance for your specific implementation.
LynxOS is based on Android and supports OpenXR. Check integration requirements and tool availability for your specific implementation.
Tracking uses four black-and-white cameras, a 672×804 iToF sensor and two infrared illuminators. Latency depends on the surroundings and app.
Full technical specifications grouped by topic.
