Simpler Smarter Point Clouds
The Problems with Point Clouds
You Have a Point Cloud... Now What?
3D scans are extremely useful tools - they contain almost all of the dimensional data you could want.
But, what if you need to produce something from that data? How do you turn tens of millions of points into something usable?
Too Much of a Good Thing
Huge point cloud files consistently bog down even
high-performance computers. Often, you can't even work on anything else while the point cloud is loading!
PointLab maintains the point cloud definition, but with smaller files and fewer points - making your data easier to manage.
Unstructured and Unclear
Point cloud data is unstructured and contains a degree of randomness - inherent in any scanning process. This results in 'noisy' or 'fuzzy' clusters of points near the true surface location. Sorting through this noise is a tedious process.
PointLab produces a set of smoother, more consistent points - cutting through the randomness to give you a clearer definition.
The PointLab Solution
Custom Output
PointLab was built to be flexible to varying industry needs.
Whether you just want smaller files and less data to wrangle, or you have to extract precise details from specific areas - PointLab can be dialed in to suit your unique workflow.
Smarter Structure
PointLab structures data in a unique, user-friendly way.
Throughout the point cloud, PointLab condenses clusters of thousands of points down to a single point that best defines each cluster - and every output point shares common planes.
A smooth and consistent definition - with much less data!
Simpler Workflows
PointLab lets the hardware do the hard work -
so you can focus on what drives your business.
PointLab can sample an entire point cloud, or specific sections within the cloud. Whether you are running an analysis, taking precise measurements, or creating drawings - your point cloud workflow can be as simple as
PointLab - Load - Go!