ointfuse’s mesh models reduce the working data size by a factor of up to 100

Technology

Pointfuse releases updated scan conversion software

20 August 2019 | By Andrew Pring

Scanning company Pointfuse has released the latest version of its advanced point cloud processing software that converts millions of individual measurements captured by laser scanning and photogrammetry.

Featuring new streamlined classification to ensure maximum efficiency and multicore processing for unlimited conversion power, the company believes its new version of Pointfuse is set to transform workflows within digital construction, facilities management and virtual design applications.

Mark Senior, regional sales director at Pointfuse, said: “Pointfuse is designed to make the use of point cloud data more accessible by removing many of the traditional barriers to use. Obstacles such as processing time and computer power, incompatibility within existing workflows and outputs of files that are large and complex have all been obliterated with the latest Pointfuse release.”

IFC (Industry Foundation Classes – an open format data model that is intended to describe architectural, building and construction industry data) templates can also be created and edited for specific applications. With applications including architectural, MEP and HVAC, selected objects can be classified and mapped to ensure compatibility with onward workflows.

Pointfuse also includes a new conversion engine which uses multicore processing to manage and enable unlimited point cloud conversion to provide real scalability. In addition, Pointfuse’s mesh models reduce the working data size by a factor of up to 100, making them easy to share with online 3D collaboration platforms, such as BIM 360, 3D Repo, Revitzo and Trimble Connect.

Ben Callan, BIM coordinator in global construction services company ISG’s UK fit-out business, said: “Using Pointfuse we can create intelligent 3D mesh models in a fraction of the time. This accelerated modelling and reduced risk of error contributes to a direct reduction in costs when compared against traditional methods of modelling and point cloud data analysis.

“It’s also paving the way for new applications of the data including existing versus design clash avoidance and checks of temporary works against required construction activities.”