Leading spatial data firm, Matterport,Inc., recently announced the selection of its 3D capture technology and Digital Twin Platform by John Deere. The implementation allow remote management of over 60 John Deere’s facilities spread across South America, North America, Asia and Europe via a virtual operation center. The company’s platform will create digital replicas of John Deere’s manufacturing facilities, allowing teams to collaborate, plan the site changes, and track progress.
To enhance site operations, John Deere will take 4K resolution digital twins with spatial accuracy using Matterport's Pro2 and Pro3 cameras. Employees at John Deere can remotely access any facility's digital twin using Matterport's digital twin technology in order to track materials and assets, keep an eye on vehicles, and integrate real-time IoT data streams. Within the digital twin, real-time collaboration increases productivity while lowering the need for expensive site visits.
Jay Remley, Matterport’s Chief Revenue Officer, said, “We’re proud to support John Deere on their journey to reinvent manufacturing operations.” He further added, “For global businesses with facilities spread across several regions and time zones, the ability to remotely optimize each space based on its own unique parameters is a critical unlock for operations management. Our digital twin platform enables companies to reap real productivity gains and cost savings by digitizing their operations for more efficient maintenance, remote monitoring and improved decision making.”
(Source - GlobeNewswire)
About Matterport
Matterport is leading spatial data solutions provider. The solutions are targeted at indexing and digitizing the built environment. Using a digital twin, enterprises can transform their built spaces into immersive, accurate digital twins to create, plan, comprehend, operate and promote any environment with Matterport’s proprietary 3D data platform. The spatial computing platform helps convert build structures into data, using every location and enhancing the overall value.