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AI-Powered Automation for Railway Inspections

Bringing intelligence to the tracks by automating inspections, predicting failures, and ensuring smoother, safer operations across railway networks.

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Challenges

What makes Railway Infrastructure challenging?

Prohibitive Costs & Slow Manual Surveys

Traditional inspections of massive rail networks take weeks and cost millions, relying on slow, manual methods that fail to provide the real-time ballast and asset data needed for modern maintenance.

Prohibitive Costs & Slow Manual Surveys

Traditional inspections of massive rail networks take weeks and cost millions, relying on slow, manual methods that fail to provide the real-time ballast and asset data needed for modern maintenance.

Prohibitive Costs & Slow Manual Surveys

Traditional inspections of massive rail networks take weeks and cost millions, relying on slow, manual methods that fail to provide the real-time ballast and asset data needed for modern maintenance.

The "Blind Zone" & Environmental Risks

In conditions like deep fog, visibility drops below 15 meters, rendering human drivers and standard 2D cameras ineffective at detecting track intrusions or foreign objects in time to react.

The "Blind Zone" & Environmental Risks

In conditions like deep fog, visibility drops below 15 meters, rendering human drivers and standard 2D cameras ineffective at detecting track intrusions or foreign objects in time to react.

Manual Detection

In conditions like deep fog, visibility drops below 15 meters, rendering human drivers and standard 2D cameras ineffective at detecting track intrusions or foreign objects in time to react.

Reactive Maintenance Models

Without real-time spatial data, operators are stuck with rigid, calendar-based schedules; this leads to missing alot of critical failures and increases the risk of severe infrastructure damage.

Reactive Maintenance Models

Without real-time spatial data, operators are stuck with rigid, calendar-based schedules; this leads to missing alot of critical failures and increases the risk of severe infrastructure damage.

Fragmented Site Data

Site information is trapped in disconnected formats. Progress is hidden across scattered PDFs , site photos, CSVs,PCDs and various other files that don't talk to each other.

AI-driven Railway Solutions

Enabling data-driven decisions that improve reliability, safety, and long-term asset performance. By combining advanced sensing with AI-powered analytics, it helps operators anticipate issues early, optimize maintenance, and maximize network efficiency.

Foreign Object Detection

Monitors the track ahead in real-time using computer vision and LiDAR, detecting foreign objects, obstacles, and other potential hazards. It assists operators with timely alerts, improving safety and preventing collisions.

Real-time obstacle detection
Track intrusion alerts
Driver visibility enhancement
Event recording and reporting

Vegetation Management

Automatically detects overgrown areas, trees, or shrubs encroaching the track helping operators prevent accidents, ensure line-of-sight, and comply with safety regulations.

Automated vegetation
Encroachment detection
Risk-level categorization
Digital twin visualization of affected areas
Predictive growth analytics and maintenance planning

Clearance Management

Analyzes LiDAR and video data to detect encroachments, measure tunnel and bridge clearances, and verify safe passage for rolling stock. Ideal for electrified lines, bridges, tunnels, and stations.

3D clearance measurement
Asset encroachment detection
Clearance Compliance verification
Integration with digital twin model

3D clearance measurement
Asset encroachment detection
Clearance Compliance verification
Integration with digital twin model

Pioneering the Digital Railway Era

Get insights into what matters along every kilometer of track

Why Us

Kodifly’s Railway infrastructure solution automates trackside risk detection and corridor monitoring using LiDAR, camera fusion, and AI analytics. From obstacle detection to vegetation intrusion, our platform offers continuous, high-precision insights so railway authorities can respond faster and operate more safely.

Accurate & Fast Inspection

Automated LiDAR and camera-based scanning.

Predictive Maintenance

AI-driven analytics detect issues before failures occur.

Digital Twin Creation

Complete 3D visualization of the railway environment.

Enhanced Safety

Real-time detection of hazards, intrusions, and clearance issues.

Cost & Time Efficiency

Reduce inspection time & maintenance costs dramatically

Performance You Can Measure

Traditional inspection of 100 km of track can take up to 82,000 hours annually. Kodifly’s AI and digital twin solutions reduce that by over 90%, improving operational efficiency, safety, and visibility.

%

Less Work

Operational Efficiency

%

Lower

Cost of Inspection

%

Lower

Risk of Accident

Railway Infrastructure Management Platform

SpatialSense Rail

Kodifly’s SpatialSense Platform integrates LiDAR, imaging, and geospatial data to create a living, interactive model of your entire railway infrastructure. Operators can visualize conditions, analyze historical data, and make data-driven decisions on maintenance, safety, and performance, all from a single interface.

Discover features designed to simplify workflows, boost productivity, and improve team collaboration seamlessly.

Transform Railway Safety & Operations

Redefine rail operations with automation, precision, and data-driven insights.

Get Quote

Transform Railway Safety & Operations

Redefine rail operations with automation, precision, and data-driven insights.

Get Quote