Software Screenshot Pointly with classified objects in a 3d point cloud

Automatic Powerline Analysis with Pointly.

published: 06.03.2026

Powerline corridors are increasingly captured using airborne LiDAR data. Data acquisition has become highly automated through the use of UAVs and improved sensor technology. While capturing the data is becoming easier and faster, the analysis of these large datasets still requires many hours of manual work.

This process can now be automated using Pointly’s AI based workflows, allowing teams to extract valuable information from point clouds quickly and reliably.

overview of Pointlys automativ workflow

Overview – Pointly´s Automatic Workflow

At the core of the workflow is precise automatic classification of the point cloud.

Pointly trains AI based classification models according to the specific requirements of each customer. These models automatically identify relevant elements such as powerlines, transmission towers, insulators, ground, vegetation and surrounding infrastructure.

Screenshot of a 3D Point Cloud showing power lines

Step 1: AI-based workflow for automatic classification

This structured classification enables the next step, precise automatic vectorization.

We use the classified data as input to perform automatic vector data extraction.

Powerlines are converted into clean vector files that can be directly used in GIS workflows or asset management systems.

rendered 3D Point Cloud of power lines with clustered objects

Step 2: Automatic Vectorization

The vector output can be fully customized and typically includes exact tower positions and heights as well as the 3D coordinates of insulator connection points and a basic BIM representation of the infrastructure.

On top of classification & vectorization, Pointly can extract additional insights from the data.

This includes automated encroachment detection, which identifies vegetation or other objects approaching safety distances, as well as instance segmentation or change detection that highlights differences between repeated surveys.

rendered 3D Point Cloud of power lines with clustered objects

Step 3: Example - Encroachment detection

Here, points within a specific threshold distance to the wire are visible.

  • Red points, very close to the wire.
  • Orange points, close to the wire.
  • Yellow points, medium distance to the wire.

The areas can be exported in several formats depending on the intended use.

Standard outputs include vector and shape files for GIS integration.

For assessment and documentation, a structured PDF report about the identified areas can also be generated automatically.

With this workflow Pointly transforms large scale point cloud data into actionable information for powerline monitoring, inspection and maintenance.

Contact us:  info@pointly.ai

We are happy to test our existing workflows at any time as well as look at specific project requirements.

Pointly – Point out what matters.

⇧ back to top
Pointly 3D Point Cloud Classification
About Pointly

Pointly is an intelligent, cloud-based software solution to manage and classify 3D point clouds – faster and more precise than ever before.

With Pointly Services you can get on-demand advanced 3D point cloud solutions tailormade for you.

Share this article