Case study · Digital twin engineering

Turning raw 3D scans of cell towers into exact geometry

We built a point-cloud pipeline that turns raw 3D scans of cell towers into exact geometric measurements - tilt, structure, and dimensions - feeding a live digital-twin model instead of a flat photo.

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Domain · Telecom infrastructure Data · 3D point-cloud scans Output · Structured geometry feeding a digital twin

The challenge

A point cloud doesn't know it's a tower

A point cloud is just millions of unlabeled 3D points - it doesn't know where a tower starts, what's mounted on it, or whether it's leaning. Turning that into usable engineering data - tilt angle, base width, top width - takes real geometric analysis, not a glance at a photo.

The goal was a pipeline that takes raw scan data straight from the field and produces the same structured measurements an engineer would pull by hand - automatically, and at scale.

How it works

From raw point cloud to structured geometry

Four stages turn millions of unlabeled points into the exact measurements a digital twin can use.

Load & merge Raw scan data

Raw point-cloud tiles from the field scan are loaded and merged into a single unified point cloud for the structure, before any analysis begins.

Preprocessing Centering & tilt

The cloud is centered, the region of interest is isolated, and tilt angle is compensated for - so every measurement that follows is taken against a clean, upright reference.

Tower analysis Geometry extraction

Upper and lower sections of the structure are analyzed separately, appurtenances and lighting are checked, and the key geometric parameters are estimated.

Result output Twin-ready

Final measurements are post-processed and saved in a structured format, ready to feed a live digital-twin model instead of sitting in a raw scan file.

Why it holds up

Built on classical, explainable geometry

What it delivers

Exact geometric measurements, not a rough visual estimate.

A structured record that updates the digital twin automatically.

Every structure measured the same way, consistently.

Field scans turned into engineering data without a manual survey.

Engineering behind it

Classical point-cloud geometry - DBSCAN, RANSAC, Hough transforms - explainable, not a black box.

Open3D and OpenCV handling the geometric heavy lifting.

Built to run on raw .ply tiles straight from the field.

Output designed to plug directly into an enterprise digital-twin platform.

Featured in Bentley's iTwin Innovation Showcase.

Get started

Have physical assets you only have as raw scan data?

We build the geometry pipeline that turns a point cloud into measurements an engineer - or a digital twin - can actually use.

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Anonymized case study. Client details are confidential; described by domain and outcome.