Visualizing Variance

Only SKUR can give our construction industry clients rapid insight into the difference between what was designed and what was built.

What Is SKUR?

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Knowing The Precise Difference Between Design and As-Built

SKUR uses the point cloud output from powerful terrestrial scanning technologies (commonly LIDAR) to analyze and report changes in large-scale environments.

Our proprietary algorithms cloud process the massive scan data files and identify the differences between the design and the reality of what was actually built.

Rapid and Concise Information For Everyone On A Project

Whether you’re a project manager,¬†surveyor, or executive, SKUR quickly generates the relevant data for you and your team to rapidly evaluate almost any physical environment. The information is presented in a meaningful and actionable manner.

SKUR is focused on the construction and facilities management markets serving complex projects and environments.

Immediate ROI By Allowing Teams To Solve Problems Rapidly

Data matters more than ever before – the right information at the right time is the key to bringing projects in on time and on-budget. The faster and more accurately a team can identify a problem, the more likely it is to be resolved efficiently.

Shared data provides understanding between project stakeholders reducing claims and enhancing resource management.

How SKUR Works.

Upload Design File

example -design file with bolts

Understanding the design is key to creating a baseline for the high-resolution scan. We utilize your 3D design file as a basis for comparing the design and the scan. The process begins with a simple upload of your .dwg file.

In the example here, columns to support a large glass facade are being assessed.

Upload Point Cloud

Noisy point cloud

A typical environment is noisy and filled with debris, equipment, extraneous supplies, and building elements that may or may not be relevant to what is being assessed. And, as shown above, a raw LIDAR scan is nearly useless without the ability to isolate objects.

Above, a 100 million + point cloud LIDAR scan of an ‘as-built’ environment.

See Variance & Direction

example-resultwithdirection

Once you’ve uploaded both the .dwg file and the result of the scan, SKUR identifies variances. The result is a visual representation and report of the detected locations in question showing the precise variance from design and, very importantly, the direction of the variance.

Above, Red and Yellow coloring indicates degree of variance. Arrows show the direction of issue.

Simple. Fast. Powerful.

From uploading your files to reviewing the visualizations and reports, we have designed the process to quickly get you the results.