A point cloud is a digital 3D dataset made up of millions—or even billions—of individual points that represent the surface of objects or environments. These points are captured using technologies such as laser scanning (LiDAR), photogrammetry, or depth cameras, and each point contains spatial coordinates (X, Y, Z), sometimes along with color or reflectivity data.
In the AEC industry, point clouds are used to create accurate digital representations of existing conditions—commonly for renovations, as-built documentation, clash detection, or verification modeling.
Point clouds provide high-precision spatial data that enables architects, engineers, and contractors to model real-world conditions with minimal guesswork. They’re particularly valuable when working with existing buildings, irregular structures, or fast-moving construction sites.
Integrating point cloud data into BIM workflows allows teams to align their digital models with physical reality, improving accuracy, reducing rework, and streamlining coordination.
As buildings evolve, point clouds also play a role in quality assurance, facilities management, and future retrofitting efforts.
A contractor scans a historical building interior to capture exact ceiling heights, HVAC locations, and irregular wall geometries. The point cloud is then imported into a BIM environment to guide accurate renovation without physically measuring every component.
A point cloud is like a 3D snapshot made of millions of dots—capturing the shape and size of real-world spaces so they can be rebuilt or renovated digitally.
The D.TO platform helps designers incorporate existing conditions into their BIM workflows by aligning early-stage design analysis with reality-based data.
Discover how D.TO enhances your daily design workflows on D.TO’s key features page, or schedule a demo to explore them in more detail!!
