THE AVIATION PROBLEM
An apron is nothing like the average scene.
Vehicles, crew, aircraft and equipment move in tight tolerances, under floodlights, weather and time pressure. Boxed analytics are trained on car parks and corridors — so they miss the near-miss forming behind a pushback tug and cry wolf on a reflective vest.
Every false alarm costs your team's trust; every miss is a safety report. Aviation detection has to be trained on aviation scenes — your stands, your procedures, your cameras.
Aviation use cases.
From the apron to the terminal floor. Each one runs on the cameras and sensors you already have, with anonymisation applied in regulated areas.

HEALTH & SAFETY
No-touch policy compliance
Ground support equipment approaching the airframe, monitored continuously. We fuse IoT proximity signals with instance segmentation, so you see how a violation actually happened — not just that it did. On-vehicle deployment, GDPR compliant.

HEALTH & SAFETY
Advanced PPE checkpoint
Beyond hard hat and high-vis: gloves and other PPE checked at a cooperative checkpoint. Vest and helmet colour also reads as a role, so access rights can be enforced at the same door.

SECURITY
Perimeter, access points and person search
Perimeter protection and access-point supervision on the apron — plus attribute-based person search in the terminal, for a lost child or locating a passenger. Search runs only on request, with the governance controls that implies.

OPERATION MONITORING
Queues and demand-driven cleaning
One anonymous passenger-counting model, two outcomes. At check-in and security it gives live queue length and wait-time estimates, flagging build-up before it becomes a complaint. At washroom and lounge entrances the same counts dispatch a cleaning task past a threshold you set — demand-driven maintenance instead of a fixed round.

TERMINAL OPERATION
Commercial analytics from passenger flow
Real-time commercial analytics based on passenger throughput — footfall by zone and dwell by unit — evidence that backs tenant-mix and leasing decisions
ISO 27001 certified
EU AI Act aligned
Designed for regulated operations
FAQ
Aviation questions
Can your system tell staff apart from ground vehicles in low light?
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Yes — detection is trained on your own apron footage, including night and weather conditions, rather than a generic daylight scene.
Does this replace our existing ramp cameras?
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No. We build on the cameras and VMS you already have wherever possible, over RTSP and any VMS with a proper API.
How fast can we see results?
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With a continous feedback system, significant compliance improvement expected within four weeks of go-live.
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