What does point cloud processing include?

Registration of multiple scans, noise cleaning, classification by point type, and true-colour or reprojected colorization — delivered in your required format.

How large a dataset can you handle?

Terabyte-scale projects are routine; we have processed over 100 TB of point cloud data to date.

Which output formats do you support?

Common deliverables are E57, LAS/LAZ and RCP, matched to your downstream software.

Point Cloud Processing — Registration, Cleaning & Colorization

// WHAT WE DELIVER

Point-cloud processing deliverables shaped for production teams.

We clean, structure, classify, register and prepare point clouds so survey and design teams can use the data confidently.

Registration Support

Scans can be aligned, checked, indexed and prepared for modelling or client delivery.

Classification

Ground, structure, vegetation or object classes are separated when the downstream workflow needs cleaner data.

Optimized Files

Large datasets are tiled, decimated or exported into E57, LAS/LAZ, RCP/RCS or other practical formats.

// WORKFLOW

Data Intake

We inspect coverage, noise, coordinate system and file health before processing.

Processing

The cloud is cleaned, unified, classified or segmented according to project requirements.

Packaging

Final files are named, indexed and documented for easy handoff to CAD, BIM, GIS or analysis tools.

// SERVICE DETAIL

Point cloud preparation for downstream CAD, BIM, analysis and mapping.

Before a point cloud can become a reliable deliverable, it often needs registration review, cleaning, classification, decimation, coordinate-system work and export into the right format. We prepare scan data so design and survey teams can use it without fighting the raw dataset.

The workflow supports E57, LAS/LAZ, RCP/RCS and other common formats. We can deliver cleaned clouds, classified terrain, scan coverage checks, slices, sections and optimized data packages for remote collaboration.

URYCH ROCKS METRO TUNNEL