Point clouds turned into models that carry their information.
A point cloud is a measurement, not a model. It tells you where surfaces are; it cannot tell you that this is a load-bearing wall, what it is made of, or who to call when it fails. Scan-to-BIM is the work of turning one into the other without losing what the survey knew.
We register and check the cloud first, because a model built on an unchecked registration inherits every alignment error in it. Elements are then modelled to an agreed level of detail — agreed in writing, before anyone starts, so the delivered model matches what you priced. Classification and parameters go on as the elements are built, not bolted on in a final pass.
Where the scanner could not see, we say so. Occluded zones and assumed geometry are flagged in the model rather than quietly modelled as if they were surveyed. A model that admits what it does not know is worth more to the person maintaining the building than one that looks complete and is not.
A three-storey hillside residence in the US, modelled in Revit from laser-scan data to LOD 300. Walls, floors, stepped terraces, the multi-gable roof, doors, windows and the surrounding terrain were modelled to the point cloud, giving the client an accurate as-built base of approx. 4,500 sq ft for renovation and design work.
It costs little, it takes two sessions, and it tells you which of these five is actually worth buying first.
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