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Scanning Realities with NavVis

Episode 05 -
Unlocking a new era of digitalization with NVIDIA

How enterprises use spatial data and OpenUSD to build digital twins for collaboration and simulation
with Mike Geyer (NVIDIA) and Ignacio Pérez Hallerbach (NavVis)

Scanning Realities with NavVis -
Episode 01

By digitalizing the physical world, we can modernize entire industries from their virtual ground zero. To get a feel for the innovation and workflows enabled by large-scale reality capture data streaming, in this episode we’ll be talking to Mike Geyer, Head of Digital Twins at NVIDIA, and Ignacio Pérez Hallerbach, Global Head of Partners & Platform at NavVis, Cambridge Digital Innovation Fellow at the University of Cambridge, and Expert Partner for Digital Twins & AI at Picus Capital.

 

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Digitalizing the physical world:
How NavVis is powering digitalization for
enterprises in collaboration with NVIDIA

Laser scanning technology blurs the lines between the real and virtual worlds, creating accurate 3D representations that can be used for digital twins and powerful simulations. In this episode of Scanning Realities, we find out how reality capture from NavVis and the NVIDIA Omniverse development platform enable industrial digitalization for enterprises.

By digitalizing the physical world, we can augment human intelligence, transform worker safety standards, and modernize entire industries from their virtual ground zero.

Of course, we’re talking about the potential of large-scale reality capture, and the effects are far-reaching.

To dig into the workflows that we can enable across factory planning, shop floor operations, and more, we organized a conversation between Ignacio Pérez Hallerbach, NavVis’ Global Head of Partners Platform, University of Cambridge Digital Innovation Fellow, and Expert Partner for Digital Twins Al at Picus Capital, and Mike Geyer, Head of Digital Twins at NVIDIA.

The conversation explored NavVis’ ongoing collaboration with NVIDIA, highlighting perspectives about progress in spatial data and its potential for enterprise applications.

When integrated with applications developed on the NVIDIA Omniverse platform, NavVis reality capture data can connect global operations, enable sharing at scale, and support a variety of use cases - the most common and the most pioneering - in industrial environments.

But how can we make it happen? Let's unpack some key learnings from Ignacio and Mike’s conversation.

What connects NavVis and NVIDIA?

Mike explains that one goal of the NVIDIA Omniverse team is to connect developers and enterprise businesses with transformative technologies.

He shares that NVIDIA provides a foundational platform and set of technologies that help developers digitalize and modernize the way things are manufactured, optimize their processes, and unlock efficiencies.

The crossover with NavVis lies in data. Smart reality capture technology provides the groundwork to build rich digital environments. It empowers partners to create digital twins, flexibly share data and ideas, and access a training ground for Al.

To add some perspective, we are not talking about small-scale reality capture, involving small minor scans of scattered plants for a few layout planners to use. NavVis technology enables the capture of global-scale environments, including thousands of square meters of industrial facilities around the world, accessible to interconnected teams.

NavVis’ collaboration with NVIDIA enables developers to connect their applications built on Omniverse to data for powerful graphics and simulations, unlocking further value and accelerating fundamental processes.

What digital twin use cases are there for enterprise customers?

Ignacio explains that many large enterprise customers are still at the beginning of their journeys with digital twins. But partners are now realizing the time and cost benefits of reality-capture data.

To add value, customers need to intake a good deal of spatial data. They must reach a critical mass at which point the benefits and opportunities begin to snowball. Large-scale environment scanning takes time, but once the data exists, teams can tap into data libraries for use cases across two core areas:

  • Planning and tendering - Many large enterprises still use outdated plans, often manually maintained, as the basis for their multi-million-dollar projects. Because the data informing these projects is bad, mistakes are very likely. Customers take value from improving space planning and even optimizing smaller outsourcing jobs like cleaning the factory floor.
  • Maintenance and repair - Once maintenance teams have full visibility of the environment - even without visiting it in person - they can streamline maintenance, repair, and retrofit activity.

Predictive maintenance and fast response help accelerate the journey back to productivity and, by extension, back to profit.

However, for maximum efficacy, organizations need up to date, ‘as-is’ data taken from regularly scanned environments.

For example, if they need to change components in an assembly line because a particular product is no longer shipped, as-is data enables them to quickly reorganize the line to accommodate new machinery and standardize processes for factories worldwide.

These applications are particularly useful where we see pivots to modern technological standards. The automotive industry, for example, is experiencing a surge in electrical vehicle interest - requiring manufacturing processes and facilities to be updated fast.

It's vital that scanning data is up to date, and that scans are accurate and efficient enough to facilitate this.

What does the future hold for NavVis’ work with NVIDIA?

The future holds great possibilities. Ignacio points to the seamless integration of NavVis VLX and NavVis IVION data with applications developed on the NVIDIA Omniverse platform. With further automation and better efficiency, customers and the wider ecosystem can expand their use cases.

The other focus is simulation. Reality scanning enables interesting applications for processes in data centers, for example. As technology evolves, GPUs and HPC components grow more powerful and resource-intensive, and reality capture can assist with challenges like installing effective cooling systems.

NavVis plans to continue working with NVIDIA to make products and systems more effective across many industries, transforming days-long processes into almost-instantaneous ones, and finding what needs to be upgraded before demand catches up. Ultimately, this collaboration is about helping enterprises innovate as new opportunities with reality capture continue to emerge.

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