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TrackEi™

AI-Powered Railway Track Inspection System

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Transforming Rail Safety

With LTTS’ TrackEi™

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Railway Track Inspection System

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TrackEi™

Inspect at speed. Detect with precision. Act before failure.

TrackEi™ combines high-speed machine vision, multi-sensor intelligence, and AI-powered analytics to detect surface defects and track geometry deviations in real time. It helps rail operators identify potential issues earlier, enabling safer, more reliable rail networks and more proactive maintenance.

LTTS
TrackEi™: AI driven Railway Track Inspection System

Up to 100 km/h

inspection speed

Up to 30%

maintenance cost reduction

Real-time

defect reporting

Cloud / On-prem

deployment flexibility

The Challenge

Manual inspection cannot keep pace with modern rail operations.


Rail networks depend on frequent, accurate track inspections to protect passengers, cargo and infrastructure. Yet many inspection programs still rely on visual checks, fragmented tools, and delayed reporting - making it harder to detect defects early and plan maintenance before issues escalate.


The result: maintenance teams spend more time finding and documenting problems than preventing failures and planning proactive maintenance.


Four problems compound at scale:

Manual Dependency

Inspection outcomes can vary based on operator expertise, weather, lighting and operating conditions

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Hidden Surface Defects

Crushed heads, chip-offs, rail-end batter, cracks, and defective joints can be difficult to detect consistently

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Precision Measurement

Gauge, cant, rail profile, missing clips, and fastener gaps require precise, repeatable measurement

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Delayed Actionability

Manual or fragmented reporting slows maintenance prioritization, delays response, and limits traceability

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The Platform

An AI-powered rail inspection platform built for speed, accuracy, and scale


TrackEi™ is LTTS’s AI-powered railway track inspection system that combines high-resolution imaging, laser scanners, IMUs, GPS-tagged data, and AI/ML-based analytics. It detects and classifies surface defects and identifies track geometry in real time, helping operators move from reactive inspection to predictive, data-led maintenance.


Feature highlights:
High-Speed Machine Vision

Captures high-resolution track images at speeds of up to 100 km/h for detailed defect analysis

Multi-Sensor Integration

Combines cameras, 2D laser scanners, and IMUs to support inspection under vibration and varying operating conditions

GPS-Tagged Reporting

Logs defects with GPS-tagged location data and sensor measurements to support maintenance planning and prioritization

AI-Driven Defect Detection

Uses deep learning to identify and classify surface defects, generating actionable insight for maintenance teams

Track Geometry Validation

Measures gauge, cant, gradient, and other track geometry parameters to support safe and reliable operations

Flexible Deployment

Supports cloud-based and on-premises deployment to fit existing operational environments

What TrackEi™ Detects

Surface Defects
  • Crushed Head 
  • Local Surface Collapse 
  • Rail-End Batter 
  • Chip-Offs 
  • Surface Cracks 
  • Broken Rails 
  • Defective Rail Joints
Track Geometry
  • Track Gauge 
  • Track Cant 
  • Anchor Tie Gaps 
  • Missing Fasteners 
  • Missing Clips 
  • Rail Head Profile 
  • Rail Joint Gaps
Supported Vehicles
  • Locomotives 
  • Transit Rail 
  • Passenger Train 
  • Hy-Rail Inspection Car

The TrackEi™ Edge

Purpose-built for railway inspection, not generic vision analytics


TrackEi™ combines LTTS’ railway engineering expertise, proprietary tools, and AI/ML frameworks in a unified inspection system for rail surface and track geometry use cases.

Unified System: Detects rail surface defects and track geometry deviations within a unified inspection workflow 

Railroad Engineering Expertise: Built on decades of LTTS experience across rail engineering, validation, and maintenance programs 

AI and ML Intelligence: Applies AI/ML-based detection and classification to turn inspection data into actionable maintenance insights 

Proprietary Frameworks: Uses proprietary LTTS tools and frameworks to accelerate deployment and integration 

Testing and Validation Depth: Supported by dedicated labs and infrastructure for testing, validation, ideation and R&D

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How It Works


One inspection pipeline from capture to maintenance action

Capture

High-speed imaging and sensor data systems capture rail surface and track geometry data

1

Measure

Laser scanners, IMUs, and sensor fusion measure track parameters and capture location data

2

Detect

AI/ML models identify and classify rail surface defects and track geometry deviations

3

Report

GPS-tagged defect logs support offline analysis, traceability, maintenance, planning, and work prioritization

4

Act

Maintenance teams prioritize repairs based on defect type, location, and severity

5

Use Cases: Built for Rail Maintenance Teams Worldwide

Broken Rail Detection

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Where It Applies

Class 1 railroads

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Outcome Focus

Early identification of broken rail risks for safer operations

Rail Joint Inspection

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Where It Applies

Class 1 railroads in North America

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Outcome Focus

Inspection intelligence for monitoring rail joint condition

Track Geometry Monitoring

ltts

Where It Applies

Freight, passenger, and transit rail

Outcome Focus

Outcome Focus

Data-driven measurement of gauge, cant, rail profile, and related track geometry parameters

Industries: Built for Modern Rail Operations

TrackEi™ from LTTS supports freight, passenger, and transit rail operations across inspection environments that include locomotives, passenger trains, and hy-rail inspection cars.

The Business Case

Lower maintenance costs, Faster inspections, and Safer railroads

Safety: Proactive defect detection helps operators identify potential issues earlier and mitigate risk to passengers, cargo, and infrastructure 

Efficiency: High-speed inspection reduces manual effort and enables faster, more efficient track assessment 

Cost Optimization: Targeted maintenance helps reduce unnecessary interventions and address defects before they escalate into more costly failures 

Reliability: Inspection intelligence supports asset lifecycle management, network uptime, and operational readiness 

Scalability: Cloud and on-premises deployment options support diverse operational environments

LTTS

From Inspection Data to Maintenance Decisions

TrackEi™ helps rail operators modernize inspection programs with AI-powered defect detection, track geometry intelligence, and traceable reporting - enabling safer networks, more targeted maintenance, and improved operational readiness.

Success Stories

From Manual Track Inspections to AI-powered Rail Intelligence

LTTS' TrackEi™ transforms rail inspections with edge AI and multi-sensor detection - delivering 2x efficiency, 40% effort reduction, and >80% recall.

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Frequently Asked Questions

TrackEi™ is LTTS' proprietary AI-powered railway track inspection system that combines machine vision, advanced sensors, and intelligent analytics to detect rail defects, measure track geometry, and provide actionable maintenance insights. TrackEi™ helps railway operators improve safety, reliability, and maintenance efficiency.

LTTS TrackEi™ measures critical track-geometry parameters such as track gauge, cant, rail joint gaps, anchor tie gaps, rail head profiles, missing fasteners, and missing clips. These measurements help railway operators assess track condition, maintain compliance, and enhance operational safety.

LTTS TrackEi™ leverages artificial intelligence and machine learning algorithms to analyze high-resolution rail inspection data, automatically detect and classify defects, identify anomalies, and prioritize maintenance actions. This AI-driven approach improves inspection accuracy while reducing manual effort.

Yes. LTTS TrackEi™ supports cloud, on-premises, and hybrid deployment models, enabling railway operators to choose the architecture that best aligns with their operational, security, and regulatory requirements.

TrackEi™ automatically detects and classifies a wide range of rail defects, including crushed heads, rail end batter, local surface collapse, chip-offs, surface cracks, broken rails, defective rail joints, and other visible track anomalies. Its AI-powered inspection capabilities enable early defect identification and faster maintenance decisions.

TrackEi™ railway inspection platform can inspect tracks at speeds of up to 100 kmph, enabling continuous data collection and track assessment without interrupting normal rail operations.

Yes. LTTS TrackEi™ is designed for flexible deployment and can be integrated onto existing railway inspection vehicles, hi-rail vehicles, and other suitable rolling stock, allowing operators to enhance inspection capabilities without significant infrastructure changes.

TrackEi™ enables predictive railway maintenance through continuous AI-powered track monitoring and defect analysis. By identifying issues at an early stage, providing precise defect locations, and generating actionable insights, TrackEi™ helps railway operators reduce unplanned downtime, optimize maintenance schedules, extend asset life, and improve network reliability.

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