Reality capture scanning uses advanced scanning technology to create a detailed 3D representation of physical environments in any sector. The process generates a point cloud, a collection of millions of 3D photorealistic data points, that define surfaces in 3D space. These point clouds can be aligned using survey control for accuracy and then integrated into design or analysis software.

Capture time depends on site size, complexity, and environmental conditions. While scanning can often occur during production, factors like lighting, vibration, inclement weather, steam, heavy production activity, high concentrations of dust, extreme temperatures or restricted access may require adjustments. Planning scanning operations during downtime or phased scanning can help minimize disruption.

Yes. Existing scans can be appended with many other forms of data, enabling ongoing updates. Point clouds can feed into BIM models, CAD drawings, and even digital twin platforms for asset management and predictive analysis. This makes reality capture a foundational step in digital transformation strategies.

Survey control ensures that your captured data is accurate and properly referenced to real-world or local coordinate systems. Applying control points prior to scanning allows scan technicians to align point clouds with existing site plans, GIS or survey data, reducing errors and making integration seamless.

Reality capture data works with industry-standard platforms such as Autodesk Revit, ArcGIS, Revizto and more. Common file formats include LGSx, RCP, LAS, E57 and PTS, which can be imported into CAD, BIM and GIS applications for modeling and analysis.

Point cloud files are large and typically stored on secure servers or cloud platforms. Many teams use cloud-based collaboration tools to share and view data without transferring massive files. Hosting can be managed internally or through vendor platforms, depending on project needs.