Automatic LiDAR point clouds classification to scale your operations and gain up to 90% in productivity compared to manual methods

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LiDAR data is becoming a widely used alternative to traditional cartography methods and a popular technique for infrastructure inspection, since it enables the generation of very accurate 3D point clouds.

The point clouds are built by aggregating georeferenced points, with x,y,z values and position attributes. In order to be able to analyze the point clouds, they have to be classified according to the elevations. This classification enables you to build detailed and structured digital twins of infrastructure and its surroundings, with a clear differentiation between the different objects in the digital model.

Automatic Lidar Classification

LiDAR point cloud of a distribution power line

Isolate your digital twin and identify its surroundings to get actionable business insights

Alteia is your visual data warehouse that aggregates all of your imagery and georeferenced data and organizes it into a structured asset-oriented database. With machine-learning algorithms you will be able to automatically classify your LiDAR point clouds providing highly detailed digital twins, identifying even the smallest objects.

The digital twin of your infrastructure can then be analyzed, using trained AI & machine-learning algorithms, to transform your asset data into actionable business insights. Enabling you to make the right decisions, here and now, as well as predict future evolutions.

Automatic Lidar Classification

Automatically classified LiDAR point cloud of a distribution power line in a rural area

Easily manage your data and classify your LiDAR point cloud with just a click, using Alteia’s machine-learning algorithms

The Automatic LiDAR classification application enables you to scale your operations in a cost effective way:

  • Aggregate and process all your data in the cloud, so no need for high performance hardware infrastructure investments
  • Easily manage and classify large amounts of LiDAR data
  • Save time by automatically classifying up to 300 km per day (or 30 km2)*
  • Get accurate results: a quality check is performed by our experts
  • A self-service offer is also available to service companies that want to be autonomous and are looking for a fast and high quality service.
  • Visualize your digital twin in the cloud from a standard web browser and get access to your data anytime from anywhere
  • Get access to a broad range of industry-specific analytics to get more value out of your data

* Fully automatic classification of 7 standard classes: poles, conductors, ground, buildings and vegetation (low, medium, high). Additional classes can be added on request, but requires a dedicated AI algorithm training process.

Automatic Lidar Classification

Automatically classified LiDAR point cloud of a distribution power line in an urban area.

How does it work?

1. Upload your data

 Create your project on Alteia
 Upload your .las file
 Choose your coordinate system

2. Visualize your data

 Get a 3D view of your LiDAR survey
 Fly virtually over your assets

3. Run the Automatic LiDAR classification app with a click

 Get your classified point cloud
 Visualize your assets and surroundings
 Export your classified point cloud


The Automatic LiDAR classification application enables you to scale your operations in a cost effective way:

Classified point cloud in .las format with 7 classes [poles, conductors, ground, buildings and vegetation (low, high, medium)]

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