Clarity Consulting
Colourised LiDAR point cloud of a Mauritian coastal headland captured by UAV, showing individual trees, the shoreline and the reef edge

Reality capture · Mauritius

Turning moments into measurable data

We capture sites, buildings and terrain with high-density LiDAR, then turn the resulting point clouds into the specific answer you need — a volume, a model, a surface, a millimetre of movement.

109M+
Points in our published sample datasets
45 MP
Full-frame global shutter on our Zenmuse P1
7
Industry sectors served across Mauritius
9
Service lines, from terrain models to GIS systems

What we do

We do not sell point clouds. We sell the answer inside them.

A point cloud is a means, not an end. Every engagement starts with the decision you are trying to make, and works backwards to the capture method and the deliverable that will actually settle it.

Compare all services and their deliverables

How we capture

Four platforms, one sensor that goes on all of them

Our scanner is not a single-beam profiler tracing one flat line. It fires many beams at once and rotates as it does, so it captures a near-spherical volume from wherever it stands — and it works out its own position from the scan data, with no satellite fix required.

That is why the same instrument can be carried, driven or flown. A site with an indoor half and an outdoor half is one survey and one dataset, not two stitched together.

How the technology works

  • On foot

    Carried at walking pace, indoors and out. The sensor positions itself from its own scan data, so covered sheds, plant rooms and dense urban sites need no satellite fix.

  • Vehicle-mounted

    Corridor capture at driving speed. Roads, estates and port yards covered in a fraction of the time a walk would take.

  • UAV LiDAR

    Elevated coverage of open terrain, roofs and vegetation — including the ground beneath a closed canopy.

  • UAV photogrammetry

    A 45 MP full-frame Zenmuse P1 for true-colour orthomosaics and photorealistic models. Flown alongside LiDAR where a site needs both.

The data

What a point cloud actually is

Millions of individual measurements, each one an exact position in three dimensions where a laser pulse struck a real surface. Together they form a digital replica precise enough to measure against — remotely, repeatedly, and long after the survey team has left.

That is the part worth understanding: the dataset keeps answering questions. A section you did not know you needed, a clearance you forgot to check, a volume from eighteen months ago — all queries against data you already own.

Explore the technology
Colourised LiDAR point cloud of a coastal site, with individual measured points visible along the shoreline and vegetation
Coastal capture, colourised returns. Each visible speck is one measured point.

Sample data

Work we can show you

Two datasets published in full, with the capture method and point count stated. Judge the density for yourself.

Intensity-shaded point cloud of the Caudan Waterfront quay, showing the quay deck, bollards, moored yachts and the buildings behind

Caudan Waterfront quay assessment

A damaged quay captured on foot at high density, giving engineers a measurable above-water plan to design repairs against.

Method
Survey walk-through
Visualisation
Intensity returns
Points
52,895,591
Colourised point cloud of a dense conifer plantation seen from above, with a cleared area and access track visible through the canopy

Conifer plantation canopy survey

A UAV capture returning both canopy structure and the ground beneath it, from a single flight over closed-canopy plantation.

Method
UAV (drone)
Visualisation
RGB (colourised)
Points
56,478,454

Sectors

Industries we work in

The physics is the same everywhere. What changes is the question, the access constraints and the deliverable.

Trusted by teams across Mauritius

  • General Construction
  • DCS
  • CDDS
  • JFA Architects
  • Omnicane

Have a site that needs measuring?

Tell us what you need to know about it. We will tell you which capture method fits, what it will produce, and what it will cost — before anyone mobilises.