VR/AR/VMR headsets are becoming increasingly sophisticated, with new high-quality head-mounted device technology debuting almost every month; vendors are struggling to understand the barriers to adoption.
One of the most obvious barriers to adoption is the headset’s form factor and weight. Many use cases for XR hardware, whether AR smart glasses or VR headsets, require workers to want to wear a headset for long periods of time, and heavy products can hinder this adoption.
Successful adoption may depend on the weight and design of an XR headset, among other factors. As technology advances, head mounts are becoming lighter, improving overall usability.
NVIDIA is looking to solve form factor bottlenecks. The firm recently collaborated with the Stanford Computational Imaging Group under Professor Gordon Wetzstein to create smaller and lighter XR devices.
NVIDIA notes that current models of the XR headset rely on heavy optics, screens and head straps, which create an intrusive measure and a social barrier that prevents advancement in collaboration and the use of XR in the workplace. The firm notes that NVIDIA’s research teams have been busy working to solve these hardware-based obstacles over the past few years by developing a smaller prototype equipment.
NVIDIA research is leading the firm to create a pair of prototype XR glasses, which disown the need for larger hardware as seen by many VR headsets – bringing design choices closer to AR smart glasses, but with higher computing and display power. NVIDIA and the Stanford team are leverage hHolographic display near the eyeys, enabling the firm to create a device that SHOW VR content is activated LENS 2.5 mm Fat.
Additionally, the team is using AI to improve its XR display system to ensure it succeeds in its design goals. Using an AI algorithm, NVIDIA is able to improve the performance of the light lens by removing the amount of interfering light sources. According to NVIDIA, its AI integration makes “practical holographic displays” feasible by reducing the size of components – which the firm says exceeds traditional expectations.
NVIDIA commits to the future of Enterprise XR
“The future of heavy industries starts with a digital twin,” he said Jensen Huang, CEO of NVIDIA. He explained that NVIDIA’s twin digital and AI platforms come together to pave the way for the next generation of industrial workflows, such as assisting robots in navigating and understanding factory environments through virtual simulations.
During the opening keynote of NVIDIA GTC, Huang presented the company’s latest developments, including genAI and robotics tools. He also highlighted NVIDIA partners who are working to advance XR/space computing solutions in the workplace using the NVIDIA Omniverse platform – partners such as Siemens, Microsoft, AWS and Wistron were featured at the event.
NVIDIA is tailoring the Omniverse platform to its industry partners by providing cloud-based APIs that enable customers to leverage digital twin workflows. Huang emphasized that “everything produced will have digital twins.” Omniverse serves as the operating system for “creating and operating physically realistic digital twins,” which customers can use for design processes, automation workflows, or even weather forecasting solutions.
Huang also revealed that NVIDIA’s Omniverse is now accessible on Apple’s Vision Pro. NVIDIA has introduced Omniverse Cloud APIs, enabling Apple Vision Pro users to customize and distribute high-quality OpenUSD file types to mobile devices without compromising content or performance quality, thanks to cloud-compensated computing processes.
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