Point cloud survey
Point cloud survey

Point cloud survey

We utilise our fundamental survey expertise and state of the art technology to deliver you an accurate and fully QA’d point cloud derived model

 

 

 

 

What is a point cloud?

A point cloud is a grouping of points that are individually described or placed using their x,y,z values. The points, captured by a laser scanner, are all relative to one another and the laser scanner – they accurately reflect the physical real world surroundings of the scanner. Typical point density is 6mm @ 10m. Physical detail and structure is translated digitally via point cloud at different densities depending on how far that detail is from the scanner.

What are point clouds used for?

Point clouds are a way of rapidly translating a physical environment into a digital one. A laser scanner captures 2,000,000 points a second, allowing us to rapidly digitally map the world around us. A group of individual scans (point clouds) can be merged
together via software using clever algorithms to create a globally consistent point cloud model. We can then extract the data we need – meshing a surface, measuring point to point, extracting line work, clearance analysis or using them for clash detection.

Laser Scanning

Laser scanning or LIDAR is a method of rapidly capturing and digitising the spatial
information of our physical environment. Lidar is always in 3D and can be conducted at
ground level, below ground or aerially.

Our equipment (Laser Scanner) is ground based. The scanners surrounding area is saturated
via laser beam, giving us millions of individual positions/points (2 million points a second)
which forms a ‘point cloud’.

Here at EOS Geomatics, we are excited and passionate about change, the digitisation of our
world and how we can translate this into value for our clients.

Projects/Industries in which point cloud surveys can be utilised:
Commercial and residential properties; highways, streets and junctions; bus stations and
swept path analysis; industrial/retail facilities; construction; floor flatness; heritage and
listed buildings; augmented reality and virtual reality; railways and rail stations plus many
more.

  • Point Cloud Data (Raw Data or Registered)
  •  2D plans and elevations
  • Wireframe CAD models
  • Textured Models
  • BIM Models
  • Volumes
  • Cross and long sections
  • Floor flatness analysis
  • Verticality assessment and general design conformance assessment
  • Point cloud Web-viewer with pixel to pixel measurement

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