Runway Inspection AI
Find FOD, pavement cracks, spalls, and potholes, damaged or missing edge lights, faded markings, and rubber build-up on every runway and taxiway.
Runway Inspection AI for the Toughest Commercial, Cargo, and Military Airfields
Deploy Anywhere, Run Everywhere
Run runway inspection on inspection vehicle, drone, and fixed airfield cameras on the edge, on-prem, in your VPC, or via API.
One Platform, Full Adoption
Tools every airfield team can adopt, from airfield operations and maintenance to pavement engineers and safety managers, no separate ML team required.
Secure, Compliant, and Audit-Ready
Data stays safe with SOC 2 Type II compliance, encrypted data, HIPAA compliance, and an uptime SLA, with records that support 14 CFR Part 139 self-inspections, FAA AC 150/5210-24 FOD management, and ICAO Annex 14.
- FOD on Runways, Taxiways & Aprons
- Pavement Cracks, Spalls & Potholes
- Edge & Centerline Light Damage
- Faded & Obscured Markings
- Rubber Build-Up in Touchdown Zones
- Wildlife on the Airfield
“Roboflow has been instrumental in accelerating our deployment of innovative AI solutions.”
Travis Turnbull
Vice President & CIO, Pella Corporation
Talk to a Vision AI engineer who's shipped in airports and aviation.
Bring us your toughest runway inspection problem and we'll map a working solution.
Ask us about:
- Solution architecture that fits 14 CFR Part 139, FAA AC 150/5210-24, AC 150/5380-6, and ICAO Annex 14
- A live demo on your own airfield inspection imagery
- Deployment options: edge on inspection vehicles, drones, or fixed cameras, on-prem, air-gapped, or VPC
- ROI modeling against FOD damage, runway closures, inspection time, and pavement repair planning
Over 16,000 organizations build with Roboflow.
- Rivian
- Pella
- Chobani
- USG Corporation
- BNSF Railway
- American Woodmark
Vision AI is transforming businesses
Customers across the board are solving complex challenges and driving meaningful impact.
- Automotive customer
$10 million
Saved by automatically detecting defects on the production line
- Logistics & freight company
90%
Less time spent manually tracking shipping inventory
- Building materials supplier
60%
Lower customer return rate with improved product quality
Inspect Every Runway and Taxiway, from the Threshold to the Last Exit
Bring real-time intelligence to every runway inspection with Roboflow Vision AI for runway inspection. Built for airports where a small piece of FOD can damage an engine, where self-inspections happen several times a day in short runway windows, and where pavement and lighting problems are logged by hand.
FOD and wildlife:
- Detect FOD such as bolts, tire pieces, and debris on runways, taxiways, and aprons from vehicle or fixed cameras, with a model trained on your own airfield, next to foreign object detection.
- Mark each item's location so the sweep team goes straight to it.
- Detect birds and wildlife on or near the runway.
Pavement condition:
- Find cracks, spalls, joint seal damage, and potholes on runway and taxiway pavement, from vehicle and drone imagery.
- Detect rubber build-up in touchdown zones to plan removal.
- Map each defect by location so pavement engineers can plan repairs and track change over time.
Lights and markings:
- Detect broken, missing, and dirty edge, centerline, and touchdown zone lights.
- Flag faded, chipped, and rubber-covered markings and signs.
- Log each self-inspection finding with an image and location for the airfield record.
Bring intelligence to every runway inspection today. Stop FOD and pavement damage from becoming engine damage, closures, and delays.
Frequently asked questions
What is runway inspection with Vision AI?
Runway inspection with Vision AI uses cameras on inspection vehicles, drones, and fixed airfield positions and a trained computer vision model to find FOD, pavement cracks and spalls, damaged lights, faded markings, rubber build-up, and wildlife on runways and taxiways, then map each finding for the airfield team. It builds on foreign object detection, crack detection, and drone inspection.
Can Vision AI find small FOD during a fast runway inspection?
Yes. High-resolution cameras on the inspection vehicle capture the full runway width as it drives, and a model trained on your own airfield finds small objects such as bolts, safety wire, and tire fragments against the pavement, grooves, and markings. Each item is flagged with its location during the pass, so it can be picked up before the runway reopens.
Does runway inspection support Part 139 and FAA advisory circulars?
Runway inspection supports daily self-inspections under 14 CFR Part 139 (certification of airports), FOD programs under FAA AC 150/5210-24 (airport foreign object debris management), pavement maintenance under FAA AC 150/5380-6 (guidelines for maintenance of airport pavements), and ICAO Annex 14 (aerodrome design and operations), with image and location records for each finding.
Roboflow serves as the detection engine, and your airfield operations and maintenance teams own inspections, runway closures, and repairs.
Can it integrate with our airfield management and maintenance systems?
Yes. Roboflow sends findings, locations, and images over REST or MQTT, or writes them to a database, so they feed airfield self-inspection tools, maintenance management systems such as IBM Maximo, and GIS platforms such as Esri ArcGIS for pavement management. FOD alerts can go to operations and sweep crews on tablets in real time.