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3D, Digital Twins & ScanningR&DPoint-cloud analytics

Point-cloud analytics — Railways

Automated segmentation and measurement of LiDAR point clouds. Delivered for a railways client in Surat.

Location
Surat
Year
2023
Duration
4 weeks
Team
5 engineers
Interactive 3D · drag to rotate
4k
km processed
15
classes
−80%
manual digitising

The challenge

Data existed but lived in spreadsheets and legacy systems, so decisions were made on instinct rather than evidence.

What we built

A phased rollout: a measured pilot first, then scale-out. The core runs on Open3D with PyTorch, integrated into existing systems through PostGIS.

Delivery timeline

  1. Phase 1

    Discovery sprint and site survey

  2. Phase 2

    Prototype built and tested in the Motera lab

  3. Phase 3

    Pilot on site with before/after measurement

  4. Phase 4

    Scale-out, training and handover

Highlights

  • Operator training delivered in Gujarati, Hindi and English
  • Safety case reviewed with the client's EHS team
  • Runs on-premises; no data leaves the site unless agreed
  • Before-and-after measurements agreed with the client up front

Have a problem that needs a machine built for it?

Tell us the constraint — line speed, accuracy, environment, deadline. An engineer will read it and reply with a straight answer, including when the answer is that you don't need us.

We reply to every enquiry within one business day.