Point Cloud

What we do 

At Point Cloud Data Services, we carry out 3D Laser Scans and create Point Cloud models. A Point Cloud is one of the initial steps towards being able to understand space by quantifying the physical properties of its surroundings for all construction related work. 

A Point Cloud can be used to build 3D models of existing topography, buildings, infrastructure, mechanical services, oil pipelines and many more. 

Laser scanning

3D laser scanning is a more advanced technology compared to traditional 2D surveys. It has been commercially used since the 1990s and is capable of surveying the interior or exterior of a building or space, providing an accurate geometric understanding of complex structures through a much faster process.

This non-contact method uses laser beams to measure distances to surrounding surfaces, collecting millions of individual data points to create a 3-dimensional 'cloud'. By moving a laser beam across a surface, the scanning process can determine the physical characteristics of complex objects or environments, understanding the spatial arrangement and volume outlined by the objects quickly and precisely.

What is a point cloud?

A point cloud is a collection of data points in a 3-dimensional coordinate system, representing the external surface of objects, spaces, or environments. Each point in a point cloud has a specific position defined by its coordinates (x, y, z) and can also carry additional information like color, and intensity 

Point clouds group together scanned data to create a database from which a digital 3-D model and 2-D plans of a building can be created in black and white or colour. This can also include a 'walk-through' of a building. The 'cloud' can be used by design teams as a valuable reference tool throughout the duration of a project, allowing easy shareability and access to precise dimensions and space sizes, reducing the need for costly repeat site visits.

There are a number of technologies that can be used to create point clouds. However, in construction-related surveying, laser scanning is one of the most popular and precise methods for generating point clouds.

Key aspects of a point cloud survey

1. Data Collection: The survey involves collecting millions (or even billions) of data points that map out the geometry of the scanned object or area. Each point in the cloud has an x, y, and z coordinate, representing its precise location in 3D space.

2. Precision: Point cloud surveys are known for their high accuracy and precision. They are commonly used in fields such as architecture, construction, engineering, and geospatial analysis.

3. Applications: The resulting point cloud data can be used to create detailed 3D models, perform measurements, analyze spatial relationships, and more. This is particularly useful in creating digital twins of buildings, infrastructure inspections, historical preservation, and other detailed spatial analyses.

4. Visualization: Once the data is captured, specialized software is used to visualize and manipulate the point cloud, allowing users to view, measure, and analyze the scanned environment or objects in great detail.

In summary, a point cloud survey is a highly accurate, fast and detailed method of capturing the spatial properties of physical environments or objects in 3D.