​Measurement Made Simple™

Small File Sizes

Pointfuse's mesh models are intelligently optimized, reducing the working data size by a factor of up to 100x, making them easy to share with online 3D collaboration platforms, such as BIM 360, 3D Repo, Revitzo, Trimble Connect and ideal for visual rendering with visualization applications.

Optimized for BIM 360

Pointfuse, intelligent mesh models not only provide selectable geometry but are highly optimised, reducing the working data size a factor of up to 100x, making them significantly easier to use and share with online 3D collaboration portals, such as BIM 360, 3D Repo, Revitzo, Trimble Connect and Sketchfab, when compared to the original point cloud.

Pointfuse streamlines the workflow for:

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- IFC Classification

- Multicore Processing

- Reality Capture

- Segmented Mesh Model

- Small File Sizes

- Optimized for BIM 360

Reality Capture

Pointfuse bridges the gap between Reality Capture and digital design Reality capture allows the easy collection of ‘as-built’ or ‘as-is’ conditions that represents a snapshot of what’s ‘real’ versus the design. Pointfuse makes it easy to convert point cloud data generated from reality capture technology such as laserscanning and photogrammetry into 3D intelligent mesh models that can be used with digital design data and with visualization applications.

PointFuse Software

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New Streamline Classification

The new streamlined workflow makes classification easy, using templates and shortcuts to ensure maximum efficiency. The ability to classify objects within Pointfuse, has had a huge impact on how as-built data is utilized within digital design workflows. Being able to quickly compare specific as-built objects with the design to run clash detection, reducing the number of false clashes being flagged.

Segmented Mesh Model

Core to Pointfuse is the ability to convert points on the same plane into a series of separable meshes based on their geometry which we refer to as a Segmented Intelligent Mesh Model.
This automatic segmentation of the mesh into discrete, selectable surfaces, not only allows the user to identifying and classify objects based on their geometry, but also assigns unique identifiers to them.
Example: BIM project collaborators are getting access to ‘as-built’ objects as and when they need them – quickly, efficiently and accurately.