U.S. CAD Expands Point Cloud Capability
U.S. CAD in Partnership with Pointfuse
U.S. CAD announced it has entered into a strategic relationship with Pointfuse, developer of point cloud processing software for the construction industry. The addition of Pointfuse to the U.S. CAD product portfolio offers its customers and markets additional technology to significantly improve scanning and photogrammetry projects utilizing a range of digital and virtual design and building workflows.
Pointfuse converts point cloud data from laser scanners or photogrammetry into intelligent, useable 3D mesh models resulting in a reduction in time spent processing point cloud data, as well as increased accuracy, efficiency, and collaboration across project lifecycles. The ability to classify objects with Pointfuse, both automatically and manually, has had a huge impact on how as-built data is used within design and construction workflows.
Introducing the Pointfuse solution into U.S. CAD’s portfolio of products will help the company’s large and growing base of construction-related customers meet their project requirements. Additionally, the solution complements U.S. CAD’s existing product portfolio comprised of AEC solutions including Autodesk, manufacturer of 3D, engineering, and construction software; Leica, provider of 3D laser scanning technology; MSUITE Technologies, Inc., developer of FABPro and BIMPro, productivity and status tracking solutions for the construction industry; and Bluebeam, developer of markup and collaboration software.
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. Pointfuse also significantly reduces the file size of 3D models created from point clouds, making ongoing use of the model easier, faster and more efficient.