The Digital Twin Consortium (DTC) published a new white paper entitled, Reality Capture: A Digital Twin Foundation. The paper introduces the fundamentals of reality capture, which in many cases, plays a key role in the lifecycle of a digital twin. It provides organizations with an understanding of reality-capture devices, their applications, and knowledge of essential industries where reality capture has specific considerations.
Reality-capture technology embodies a set of devices and processes that collect the conditions of a physical object or space. When implemented and managed correctly, these tools accurately and efficiently create digital duplicates of physical things, such as small objects, rooms, buildings, or planetary landscapes. Reality capture provides insight and awareness through the transparent representation of real-world conditions.
Reality capture technologies play an important role in providing context and, depending on the scenario, delivering real, on-time decision support for situational awareness. This in turn enriches digital twin predictive accuracy and outcomes. Situational awareness serves to augment event intelligence for timely, high confidence, data driven, and evidence-based decision making.”
“Reality capture technology has rapidly evolved in the past two decades and continues to be in a state of accelerated change. This white paper demystifies the principles that make reality capture successful, guiding users on which tools and techniques to deploy and when and how to integrate reality capture into their strategy.
Reality-capture differs across industries as each has its own use cases that drive the various hardware and software selections and drive different capture frequencies and accuracy requirements. For instance, a surveyor building a bridge may require a scanner with a range of thousands of feet, whereas an electrical designer surveying an electrical room may only need a scanner with a range of a few feet.
For digital twins to play a growing role in the industry for simulations, remote control or metaverse experiences, they must accurately reflect built reality Various technologies are available to capture these conditions, ranging from passive cameras to active laser scanners, but navigating the reality-capture landscape is not easy. There isn’t a single scanning device that meets the criteria for all possible use cases and workflows. This white paper is intended to provide information organizations can use to make the right investment decisions.
Download Reality Capture: A Digital Twin Foundation from the consortium’s website.