Prolincur Technologies
Reality capture / Survey

Streaming Large Point Clouds to the Web

An automated 3D Tiles pipeline and streaming service that renders point clouds several GB in size in the browser.

Client
Company with large point cloud datasets
Services
Point cloud and reality capture, 3D viewers and configurators
Industry
Reality capture / Survey
Streaming Large Point Clouds to the Web screenshot

The challenge

The client needed to render point cloud data several GB in size in the web browser, efficiently and with interactivity.

What we built

A backend and frontend that process and streamline the point clouds: an automated pipeline turns them into 3D Tiles at adaptive resolution, and a streaming service sends only the detail each view needs.

What we delivered

  • Automated generation of 3D Tiles from large point cloud data
  • Octree preprocessing at adaptive resolution
  • Support for the LAS and LAZ point cloud formats
  • Storage and delivery from AWS S3
  • Service to stream 3D Tiles to the browser
  • Progressive WebGL rendering with control over level of detail
  • Real-time interactivity in the browser

The outcome

Smooth rendering of large point cloud datasets in the browser.

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