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Partnered with Gemperts · Government and industrial systems

Railway OHE Monitoring

A computer-vision inspection system for railway overhead equipment, built with Gemperts for industrial-grade measurement, traceability, and field review workflows.

Partner
Gemperts
Domain
Railway infrastructure
Scope
Computer vision, measurement, field workflow
System
OHE monitoring during train movement
Gemperts
Railway infrastructure

AI Railway OHE Monitoring System

Real-time overhead equipment measurement and monitoring during high-speed train movement with ±10 mm precision.

60%
Inspection time reduction
±10mm
Measurement accuracy
Railway overhead equipment and pantograph
Detection
locked
Accuracy
±10mm
Trace
GPS
60%
Inspection time reduction
±10mm
Measurement accuracy
GPS
Mast-level traceability
AI
Pantograph and wire detection

The challenge

Railway overhead equipment inspection needs high-precision measurements while trains are in motion. Manual inspection is slow, hard to trace at mast level, and difficult to scale across long routes without consistent measurement evidence.

What we built

In partnership with Gemperts, we built an AI-assisted OHE monitoring workflow for pantograph and contact-wire detection, high-speed measurement, GPS-tagged traceability, and structured review outputs for infrastructure teams.

How it ships

The system keeps the public surface simple while coordinating capture, vision inference, measurement checks, location tagging, and operator review behind the scenes. The architecture is designed for field reliability, auditability, and repeatable inspection runs.

Inspection signal
Measured, located, reviewed.
pantograph.detectpass
wire.measure±10mm
mast.tracegps
review.queueready
Architecture view

From moving train to inspection evidence.

Capture
Train-mounted image stream
Detect
Pantograph and contact wire
Measure
Offset and geometry checks
Trace
GPS and mast-level evidence
Review
Exceptions, reports, handoff
Public-safe architecture view
Shows capability across capture, AI measurement, traceability, and review without exposing implementation internals.
field ready
Technical capability

Industrial AI for real-world environments.

Computer-vision detection for pantograph, contact wire, and overhead equipment inspection points.

Measurement pipeline tuned for ±10 mm accuracy during high-speed train movement.

GPS-tagged evidence model that maps findings back to mast-level field locations.

Industrial review workflow that reduces inspection time while preserving human verification.

Building AI for public infrastructure?