Search
Close this search box.

Viametris’ Slam MMS Captures CyberPort’s Digital Twin in Record Time

Viametris, a leader in digital twin technology, released a video this month which demonstrates its unmatched computation expertise in Trajectory Algorithms and Mobile Mapping Systems (MMS) with the capturing of a digital twin of CyberPort in Hong Kong in record time. This combines decades of R&D experience in SLAM (Simultaneous Localization and Mapping) to lead this world.

Viametris’ MMS solution is designed to function effectively in environments with limited or no GNSS availability, a critical advantage for local users in Hong Kong who require precise data acquisition over long distances with minimal Ground Control Points (GCPs). This cutting-edge technology enables highly automated geospatial data collection in densely populated Central Business Districts (CBDs), a crucial requirement for modern digital twin applications.

During the CyberPort project, a single operator completed the field data capture in just 45 minutes, an astonishing feat made possible by Viametris’ advanced MMS solution. The data post-processing stage, typically a time-consuming endeavor, was completed in a mere 1.5 hours, further showcasing the efficiency and streamlined workflow of Viametris’ technology.

Responsive Image

A French company with a strong background in SLAM research, Viametris is now strengthening its position as the most advanced trajectory algorithm and innovative mapping systems solution provider to businesses and organizations worldwide. Viametris enables businesses and stakeholders of the public sector to build highly accurate digital twins of physical environments in the widest range of applications, unlocking new possibilities in data-driven decision-making, urban planning, and asset management.

If you found this article to be informative, you can explore more current Digital Twin news here exclusives, interviews, and podcasts.

The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

Picture of Jake Vikoren

Jake Vikoren

Company Speaker

Picture of Deep Prasad

Deep Prasad

Company Speaker

Picture of Araceli Venegas

Araceli Venegas

Company Speaker

James Dargan

James Dargan Is A Writer And Researcher At The Metaverse Insider. His Focus Is On The QC Startup Ecosystem And He Writes Articles On The Space That Have A Tone Accessible To The Average Reader.

Share this article:

Relevant

The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

Picture of Jake Vikoren

Jake Vikoren

Company Speaker

Picture of Deep Prasad

Deep Prasad

Company Speaker

Picture of Araceli Venegas

Araceli Venegas

Company Speaker

Keep track of everything going on in the Digital Twin Market.

In one place.

Related Articles

Join Our Newsletter