Intelligent 3D Scanner

A scanner that does more than collect points. It captures geometry and texture, cleans the data with deep learning and delivers a model ready to use.

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This animation explains the method. It is not real output.

The problem

After capture, 3D scans usually need hours of manual cleaning, alignment and modelling. The longer that takes, the later the data reaches design and inspection teams.

Capabilities

  • Geometry and texture captured together
  • Automatic removal of noise and stray points
  • Automatic alignment of multiple scans
  • Continuous mesh reconstruction
  • Comparison against a reference CAD model
  • Output in standard formats

Technical specifications are set for each project.

How it works

  1. Capture

    The object or space is scanned from several angles.

  2. Clean

    Noise and stray points are removed by deep learning models.

  3. Align

    Scans are registered to each other automatically.

  4. Model

    A continuous mesh is built and prepared for design or inspection.

Have a problem that needs solving? We'll test the solution on real data.

Write a few lines about your project and the Fanrob team will get in touch.

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