A plain-English guide to point clouds — what they are, how a handheld LiDAR scanner captures one, and what you can do with the data once you have it.

A point cloud is a set of measured points in 3D space. Each point has a position — an X, Y, and Z coordinate — and usually a colour value sampled from a camera. Put millions of them together and the surfaces of a room, a building, or a whole site emerge as a dense, measurable 3D record of how things actually are, not how a drawing says they should be.
Unlike a photo, a point cloud carries real dimensions. You can measure a doorway, check a floor-to-ceiling height, or compare as-built conditions against design intent — directly from the data.
There are three common ways to produce one, each with different trade-offs:
Once captured and processed, a point cloud is exported to a working format the downstream software can read:
A point cloud is the foundation, not the finished product. From one capture, a team can produce as-built reference for Scan-to-BIM, a measurable backdrop for renovation planning, progress comparisons on a construction site, heritage documentation, or the geometry layer behind a digital twin. Volumet rents the scanner that captures the cloud — what you build from it is yours.
The handheld SLAM scanner that captures the point cloud — what a rental covers.
View deviceWeekly and per-project rental of the fleet — check availability for your dates.
View rentalHow the main capture methods compare on accuracy, speed, and cost.
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