How does reality capture become Scan-to-BIM?
Understand the path from LiDAR or spatial capture to registered point clouds, CAD drawings and BIM or Revit models.
Scan-to-BIM converts captured existing conditions into an agreed building model: the site is captured, scans are registered into a point cloud, geometry is interpreted, and CAD or BIM deliverables are produced to a defined scope and level of detail.
Capture is only the first step
LiDAR records spatial observations from the site. Multiple positions or trajectories must be aligned, checked and prepared before the data becomes a useful reference. Access, surface conditions, occlusions and the required tolerance affect the capture plan.
Registration and modelling
Registered point clouds establish a coordinated spatial dataset. Modellers then interpret the agreed building elements into drawings or a BIM environment. The model is not an automatic copy of every point; it is a scoped interpretation of visible conditions.
Define the deliverable before capture
The client and delivery team should agree the area, coordinate requirements, formats, level of detail, exclusions and intended downstream use. This prevents collecting the wrong data or modelling more detail than the project needs.
What buyers usually ask next.
Is a point cloud the same as a BIM model?
No. A point cloud is captured spatial data. A BIM model is an interpreted, structured representation produced from that data and other project information.
What accuracy does Scan-to-BIM provide?
Accuracy depends on equipment, field method, registration, site conditions and modelling scope. Novo agrees requirements before recommending a workflow.
What files can be delivered?
Depending on scope, outputs can include registered point clouds, CAD drawings, floor plans, sections, Revit models and agreed exchange formats.