Remote drone inspection of culverts
Apollo CulvertScan
AI-assisted railway culvert inspection and condition assessment
The Gap
Manual culvert inspections are largely visual, time-intensive, and access-constrained, with compliance-driven annual visual and detailed inspection cycles. Limited inspection frequency, environmental exposure, and difficult terrain can delay defect detection and leave critical drainage assets insufficiently monitored.
Apollo CulvertScan addresses this gap through drone-based data collection and AI-assisted image analysis, helping infrastructure teams detect culvert risks, generate maintenance-ready outputs, and complete asset assessments more consistently.
Remote-Ready Culvert Intelligence
Convert drone and field imagery into defect intelligence, risk scores, and maintenance-ready outputs for hard-to-access culvert and drainage assets.
Remote Drone-Enabled Capture
Capture hard-to-access culverts with drone and field imagery workflows
Automated Identification
Use AI-assisted analysis to identify defects, structural risks, and inspection priorities for review
Increased Operational Efficiency
Streamline inspection review so engineering teams can assess more assets within required timeframes
Lower Inspection & Repair Costs
Support lifecycle cost reduction through earlier detection and clearer maintenance planning
Safer Inspections
Reduce inspector exposure to dangerous or inaccessible terrain
Extended Asset Lifespan
Prioritize repairs and monitoring actions that support longer culvert service life
CulvertScan inspection capacity benefits
Built for Data-Driven Culvert Risk Assessments
Review geo-referenced inspection imagery, defect classifications, and asset-level risk indicators in one workspace for faster maintenance planning.
How it works
How Apollo CulvertScan Works
- 1
Capture culvert data using pre-configured drones and imaging sensors
- 2
Upload inspection data to the cloud in real time from site
- 3
Analyze inspection imagery using AI-powered defect detection
- 4
Deliver risk scores and maintenance-ready insights via the dashboard
Apollo AI analyzes inspection data and flags structural risks
Visualize inspection insights and plan maintenance work
Structured data export to asset management, maintenance, and GIS platforms
Types of Defects We Inspect & Monitor
Corrosion
Blockage
Vegetation
Water Levels
Soil Erosion
Applied in distributed culvert and drainage networks
Designed for limited access and remote inspection environments
Integrated with existing maintenance and asset management workflows
Ready to improve culvert inspection coverage and risk visibility?
Talk to the ApoSys team about deploying Apollo CulvertScan for remote data capture, AI-assisted defect assessment, and maintenance-ready reporting.