Simat Labs

Airport Analytics

Airport Analytics

Queue length, crowd density, and passenger flow from existing terminal cameras — on-premise, no faces stored.

Terminal 2 — Departures

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LIVE·CAM-T2-07·no faces stored

In hall

412

Flow

38/min

Avg wait

6 min

checkpoints
density · last 60s
A1

Security A1

14 in queue · 6 min

A2

Security A2

27 in queue · 12 min

A3

Security A3

9 in queue · 4 min

FT

Fast track

3 in queue · 1 min

open lane · A2 over threshold

pax/min

Airport Analytics turns the cameras already in your terminal into live operational data: how long the queue at security or check-in is, how dense a gate area has become, and how passengers move between zones.
It gives terminal operations teams a single live view of pressure points — so staff, lanes, and announcements can be adjusted before a queue spills into a corridor.

Processing runs on-premise on a server inside the airport network. Counts, densities, and wait estimates leave as numbers; video stays where it was recorded.Zones, thresholds, and alerts are configured per camera, and every reading is logged so you can replay a shift and see what happened and when.

Queue and wait visibility

Per-lane queue length and estimated wait at check-in, security, immigration, and boarding — updated continuously from the camera feed.

Crowd density by zone

Draw zones on any camera and get live occupancy and density, with alerts when a gate area, corridor, or hall crosses the level you set.

Passenger flow

Directional counts between zones show where people actually move, so layout, signage, and staffing decisions rest on data rather than guesswork.

Airport Analytics questions

Do we need new cameras?

Usually not. The system reads standard RTSP/ONVIF streams from existing CCTV, including Dahua, Hikvision, Axis, and Uniview, as long as the view covers the queue or zone you care about. We review camera placement during scoping and only recommend additions where a view is genuinely missing.

Is this facial recognition?

No. Airport Analytics counts people and measures density and movement; it does not identify individuals and stores no faces or biometric data. Only aggregate numbers and events leave the processing server, which sits inside your own network.

How do operations teams use the data?

Through a live dashboard, threshold alerts by email or webhook, and exports for shift reports. Counts and wait estimates can also be pushed to your existing operations tools or passenger information displays through an API.

How is it deployed?

An on-premise server inside the airport network connects to the camera streams. Zones and thresholds are configured per camera during a pilot on a limited set of cameras, then extended terminal by terminal. Engineering and support run from our Amman office.

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