Is this FRA-compliant for track inspection reporting?

Yes—TrackSentinel generates inspection logs aligned with FRA Part 213 (track safety standards). All defect records include GPS, timestamps, severity classification, and inspector override capabilities.

Can we integrate with our existing wayside detection systems?

Absolutely. We integrate with Salient, Lynxrail, and other wayside systems via standard protocols (Modbus, OPC-UA, REST APIs). RailGuard and TrackSentinel augment, not replace, existing HBD/WID systems.

How accurate is thermal monitoring for rolling stock?

FleetTherm achieves 92-96% accuracy on bearing/wheel thermal anomalies. False positive rates are tunable; all alerts include thermal imagery for maintenance team verification.

What about PTC integration for signal/switch monitoring?

SignalEye integrates with Wabtec, Alstom, and Siemens PTC systems via fault reporting APIs. Signal aspect and switch position data can trigger automated PTC alerts or work orders.

Can we deploy on-prem for data sovereignty?

Yes—full on-prem deployment is supported for Class I railroads. All processing and storage remain within your infrastructure with no cloud dependency.

What's the typical time to first value?

For ROW monitoring: 4-6 weeks (baseline scans, first violation report). For track defects: 6-8 weeks (PoC with historical imagery, first prioritized work order queue).

How do you handle vegetation detection in different seasons?

RailGuard is trained on multi-season imagery (leaf-on/leaf-off). Seasonal baselines are established during PoC, and model drift is monitored quarterly with retraining triggers.

Rail & Transportation AI: Track Safety, ROW Monitoring & Rolling Stock Predictive Maintenance

Built for infrastructure directors, safety managers, rolling stock operations teams

31% fewer track incidents, 40% faster ROW clearance, and thermal failures caught before service disruption—no wayside system replacement.

Computer vision and predictive analytics for rail infrastructure safety, right-of-way monitoring, and rolling stock thermal monitoring. FRA-compliant deployments reduce track incidents by 31% and accelerate ROW clearance by 40%—without replacing wayside systems.

Quick-win solutions

RailGuard

Right-of-way monitoring & clearance

Vegetation encroachment detection with GPS mapping
Clearance violation alerts (structure gauge, overhead)
Work order generation with severity scoring

What you get:

Encroachment detection model · GIS violation layer · CMMS adapter · Scan report scheduler

60–90 days

TrackSentinel

Track defect detection (rail, ties, ballast)

Defect classification (cracks, wear, ballast fouling)
Priority scoring by defect severity and traffic volume
Inspection log export for FRA compliance

What you get:

Defect detection model · Severity scorer · FRA inspection logs · Wayside integration

60–90 days

FleetTherm

Rolling stock thermal monitoring

Thermal anomaly detection on wheels, bearings, brakes
Pre-failure alerts with component-level tracking
Depot integration for scheduled interventions

What you get:

Thermal anomaly model · Failure prediction · Depot queue integration · KPI dashboard

60–90 days

SignalEye

Signal & switch monitoring

Signal aspect verification from wayside cameras
Switch position confirmation with anomaly alerts
PTC integration for automated fault reporting

What you get:

Signal verification · Switch tracker · PTC API · Alert rules

60–90 days

How it works

PoC

2-4 weeks

Validate feasibility

Pilot

6-8 weeks

Prove ROI on limited scope

Scale

Quarterly

Expand across facility

Products used

SENTRA

Edge CV for wayside cameras and depot thermal imaging; low-latency inference for real-time alerts

Data & Analytics Platform

CMMS integration (Maximo, SAP PM), GIS mapping, FRA reporting

Tech & deployment

Infrastructure: Wayside cameras (visible + thermal) with edge compute (Jetson/x86), depot-mounted thermal arrays
Integration: CMMS/EAM (Maximo, SAP PM, Infor EAM), GIS (Esri ArcGIS, LRS), PTC (Wabtec, Alstom, Siemens)
Deployment: Cloud for Class II/III carriers, on-prem for Class I railroads, hybrid edge+cloud analytics

Rail Governance & Compliance

Chain-of-custody: All defect evidence includes GPS, timestamp, camera ID, and inspector override audit trail
Retention windows: Configurable retention (90 days to 7 years) with automated archival to cold storage
Access control: Role-based permissions (inspector, supervisor, compliance officer) with MFA enforcement
Incident reporting: Automated FRA Part 213 compliance logs with one-click export for safety audits

ROI & proof

31% fewer track incidents

Regional freight railroad reduced track-caused derailments from 13 to 9 annually using TrackSentinel for defect prioritization

40% faster ROW clearance

Commuter rail system cleared 160 vegetation violations in 45 days (vs. 75 days historical) with RailGuard automated work orders

Methodology

Frequently Asked Questions

Last updated: January 15, 2025

Case Study

31% fewer track incidents in 8 months

Regional freight railroad reduced track-caused derailments using TrackSentinel for defect prioritization and RailGuard for ROW clearance automation.

TrackSentinel

RailGuard

SENTRA Edge

31%

Fewer incidents

40%

Faster clearance

Ready to get started?

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