A 3D laser scanner sweeps millions of measured points across a surface to build a dense, accurate point cloud — a true-to-life digital record of whatever it captures. For mining and engineering, that record becomes the basis for measurement, comparison and design, without repeated and hazardous manual access.
The applications run deep. Underground, scanning measures convergence — the slow closure of walls, roof and floor under stress — so deformation can be tracked over time and managed before it threatens safety or production. It quantifies overbreak and underbreak against the design profile to control excavation and blast performance, and it documents inaccessible or unsafe areas: a mobile scanner can be lowered into a vertical shaft to capture the walls without sending a person down.
On surface, the same technology measures stockpile and excavation volumes to within a few centimetres, captures open-pit benches and topography, and records plant, headframes and steel structures as as-built models. Survey House combines scanning with conventional survey to compare actual as-built geometry against the planned engineering drawings — the quality check that confirms what was built matches what was designed.
Deliverables range from raw registered point clouds to engineering models, cross-sections, plan-versus-actual comparisons, volumetric reports and full digital twins for asset management.
Scan positions are planned for coverage and registered together, tied to project control where coordinated output is required. Registration quality is checked and reported rather than assumed.
Scanning records line of sight only. Occluded geometry is simply absent from the cloud, which is why scan planning matters more than scan speed. Reflective, wet and very dark surfaces return poor data.
Dense point clouds are large and require capable hardware downstream. A deliverable the client cannot open is not a deliverable, so output format and density are agreed against the receiving software.
