Reality Capture Connects Physical and Digital Worlds

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The industrial metaverse is being built as I type this—with new digital twins coming online, new technologies being implemented, and new applications being tested. Digital twins—a major step toward the industrial metaverse we all envision—are gaining traction thanks to reality capture technologies. 

Digital twins rely on real-time data capture, display, and analysis. Think about a digital twin of a factory—that virtual twin would be made of data sensors and inputs from around the facility, informing current state, issues, and potential improvements.

The key to digital twins is the quality and consistency of data inputs. Reality capture technologies—like sensors, video feeds, computer imaging, laser scanners, mapping tools, 3D imaging, and more—are bringing digital twins to life. 

The effectiveness of a digital twin relies almost solely on the quality of its data inputs. Data collected from drones and robots, live sensors, AI video analysis are powering up how digital twins can inform operations across industrial applications. These technologies are helping capture reality and feeding it into an analyzable virtual format. 

Afterall, the point of a digital twin is to see reality—virtually—and to go beyond what humans can see and interpret in reality. Reality capture technology makes this possible as enterprises use emerging technologies to work better, reduce emissions, continue the energy transition, and more. 

My most advanced version of reality capture is my phone camera, but with fun filters, how real is that even?