Maidenhead, 19 October 2018 – Pointfuse has released the latest version of its popular point cloud conversion software at Intergeo 2018. Pointfuse 2018 features a new cloud based data processing service, called Pointfuse Bolt, together with ground-breaking auto classification features and support for new laser scanning hardware and software formats. Designed to promote and support the practice of frequent capture Pointfuse 2018 is set to disrupt workflows in mapping, modelling and measurement by supporting the development of intelligent, ‘living’ models that are easy to consume and easy to share.
“The Pointfuse paragon is founded upon selectable geometry, scalability, small file sizes and optimized speed of processing. These pillars are the foundations to an integrated workflow that de-skills and automates the timely production of intelligent 3D models derived from a multitude of scanning technologies,” commented Mark Senior, Regional Sales Director at Pointfuse.
“Pointfuse 2018 will challenge the current paradigm of scanning at set intervals or predefined milestones models,” he continued. “With Pointfuse Bolt and the other new features in this release, users can scan as often as possible and use intelligent 3D models across a range of applications including Smart City projects, Virtual Reality experiences, Artificial Intelligence solutions and the Geospatial 4.0 revolution.”
Automatically converting point cloud data from laser scanners or photogrammetry, Pointfuse 2018 creates intelligent mesh models either on the desktop or, using Pointfuse Bolt, via the cloud.
Pointfuse Bolt is powered by unlimited parallelized computing on an industry standard secure platform to process point cloud captured during the design, build and delivery of complex construction projects. Offering a scalable yet affordable solution, the Bolt service reduces processing times and minimizes the IT requirement for expensive hardware whilst maximizing productivity across a range of BIM workflows.
New auto classification features in Pointfuse 2018 automatically detect both horizontal and vertical planar surfaces, separating them into layers. The automatic segmentation of the mesh model into discrete, selectable surfaces makes the ongoing classification of objects easier and faster reducing potential bottlenecks in the modelling process, further speeding workflows and producing repeatable, consistent results.
Pointfuse 2018 also includes support for Autodesk Recap the reality capture and point cloud software for 3D documentation, Z+F laser scanning and measurement systems and Topcon surveying equipment.
Intergeo took place between 16th and 18th October 2018 in Frankfurt, Germany and is described as the ‘global hub of the geospatial community’.
Pointfuse is a powerful modeling engine that delivers an automatic, precise and flexible way of converting the vast point cloud datasets generated by laser scanners or photogrammetry into segmented mesh models. Pointfuse uses advanced statistical techniques to create 3D models where individual surfaces can be selected and classified as new layers in the Pointfuse environment and exported to IFC and FBX for manipulation in any industry-standard CAD system. Offering ‘selectable surfaces’, Pointfuse provides a unique approach. Surfaces within the 3D mesh models produced by Pointfuse can now be identified, grouped and classified. These advancements within Pointfuse bring a catalyst to the workflow of design and engineering projects, offering efficiencies that have not been possible when working with point clouds or traditional mesh models. Pointfuse also significantly reduces the file size of 3D models created from point clouds. In simple terms, the data density within each surface is reduced whilst still maintaining the fidelity of the model. This results in a significant reduction in model size, making ongoing use of the model easier, faster and more efficient. http://pointfuse.com