@PointFuse
@pointfuse
Fast, automatic conversion of #pointcloud data into intelligent as-built mesh models
ID: 1960460820
http://pointfuse.com 14-10-2013 11:24:38
1,1K Tweet
1,1K Followers
793 Following
As a software company in Construction we're passionate about how tech can solve problems facing the industry and society. The biggest barrier is how to attract a new generation and fill the skills gap. This piece in Building News gives a great overview: bit.ly/3ulqmUX
How do you manage importing large scale meshes into Autodesk Revit? This week's #ThowbackThursday reminds us how to use the out of the box collaboration tools in Revit to help manage large scale mesh projects. View the full tutuorial here: youtube.com/watch?v=uApvZ2…
The latest release of PointFuse includes an important, and useful, update to how we work with NWC files. As an Autodesk Construction Cloud Gold Partner our software now supports direct export to NWC, complete with texturing, classification layers and colors.
We’re all aware that our industry accounts for 37% of energy-related CO2 emissions but what are we doing about it? The answer, as most of us now recognize, lies in a digital-first strategy. This article by World Economic Forum is a great little reminder. bit.ly/48IZf5P
Adding meshes into Navisworks has huge benefits. This clip shows how to ensure your mesh model looks exactly like reality, a powerful tool for sharing existing conditions with others who may ordinarily struggle viewing point clouds. Full tutorial here: zurl.co/NVH5
The evolution from CAD to BIM signifies a transformative period in construction technology. This article in Construction Dive gives a really nice overview of the journey we've taken from those early days of CAD to the latest technolgies. bit.ly/3S75uZZ
How do you manage importing large-scale meshes into Autodesk Revit? You can use the out-of-the-box collaboration tools in Revit to help manage large-scale mesh projects. Using worksets can keep the files running smoothly, and prevent you getting bogged down in too much data.