The video-AI
spine.
The model family behind AeroGround, AeroFOD, AeroRunway — and terminal-side passenger-flow + incident-search in design-partner development. You buy the product; AeroVision comes with it.
Where AeroVision powers
the platform.
Same capability at the stand, at the runway edge, on the FOD vehicle, in the terminal. Shared training pipeline, shared edge runtime, shared governance. A model improvement for one product benefits the others.
AeroGround.
15+ turnaround events from the apron camera frame — chocks, aerobridge, fuel, catering, baggage, cleaning, pushback. Plus apron FOD, GSE positioning, ramp safety. Fused with stand sensors.
AeroFOD.
1–2 cm foreign objects across mobile vehicle, fixed pole, and stand mounts. Classifies object type (metal, rubber, fluid, biological); estimates size; emits coordinates.
AeroRunway.
Touchdown, rollout, RET vacate, line-up, take-off roll from runway-end masts. Confirms ROT; flags incursion risk. Pairs with SMR + MLAT.
Terminal intelligence.
Passenger flow, queue heatmaps, gate-area density, signage coverage, searchable incident video across every terminal camera. Privacy-by-design — counts only, no biometrics.
What the spine does.
A stack of model families tuned for airport conditions — apron lighting, monsoon, runway distance, terminal crowd density. Independently trained, versioned, governed.
What's in the frame.
Aircraft, GSE, crew, baggage carts, fuel bowsers, FOD. Tuned per camera angle, stand type, surface.
- Aircraft class — NB / WB / freighter.
- FOD across 14 classes.
What's happening.
Chocks, aerobridge, door, fuel hose, pushback. Trained on the SOP book; configurable per airline.
- 15+ turnaround events per turn.
- Confidence band — low routes to review.
When the camera isn't sure.
Fuses vision with WoW, aerobridge state, fuel-flow, mm-wave radar, MLAT. The confidence layer.
- 77 GHz radar fusion for all-weather FOD.
- MLAT + ADS-B for tail attribution.
Every camera, searchable.
Time-indexed video across the whole airport. Search by time, location, flight, event type, or natural language.
- Chain-of-custody preserved.
- AAIB evidence pack from a single event ID.
Where the queues form.
Security, immigration, gates, reclaim. Counts and densities only — no biometric identification.
- Wait-time estimates by location.
- Correlates with AeroFeedback sentiment.
Boarding readiness, visible.
Crowding signals around gates — boarding imminent vs slip ahead. Pairs with ATOMS turnaround stream.
- Per-gate occupancy trend.
- Triggers contextual AeroFeedback surveys.
Terminal-side AeroVision is in design-partner phase.
Passenger flow, queue heatmaps, gate-area density, and the cross-camera incident-search experience are in active development with selected design partners on terminal-heavy airports. Four weeks of CCTV access, two hours per week from a named operations lead, joint case study published only with your approval, pricing reflecting partnership status through the roadmap window.
Buy the product.
Get the spine.
AeroVision isn't a SKU — it's the video-AI spine inside AeroGround, AeroFOD, AeroRunway, and the terminal-intelligence work in design-partner phase. Start with the product that fits your priority; the spine comes with it.