Airports & Transit Hubs

From Curb to Gate, Operating in Real Time.

An airport is dozens of operating environments stitched into one. AleraVision fuses video, queue analytics, perimeter, and environmental sensors into one operating picture — so airport ops, security, and TSA partners act on verified events in seconds, with continuous evidence for regulators.

LIVE
Airport terminal interior at dawn with AI bounding boxes on bags and queue analytics overlay.
AIRPORTS_FEED_01
04:32:11 UTC
PERSON · 0.98
Event Stream
04:32:11ACS-12Facial auth verified.
04:32:08THM-09Thermal anomaly detected.
04:31:54CAM-04Perimeter nominal.
04:31:33ACO-02Acoustic baseline.
Sensors
1,842
Ingest
4.2GB/s

Spatial Topology

Floor 3 · Zone Alpha

The Problem

The cost of inaction is already on your books.

PAIN 01

Checkpoint queues collapse on-time performance

Predictable surges still cause missed flights and angry social posts.

PAIN 02

Unattended bags trigger costly evacuations

Manual identification is slow; full evacuations cost millions per event.

PAIN 03

Airside intrusion is rare and catastrophic

Perimeter and runway incursion events shut operations and trigger federal review.

The Solution

One operating picture across landside, terminal, and airside.

Anonymous queue prediction, unattended-bag detection, perimeter intrusion classification, and curbside flow analytics — all integrated with airport ops centers and existing VMS.

CAP 01

Queue Prediction & Routing

Live wait times and surge prediction at checkpoint, customs, and gate.

CAP 02

Unattended Bag Detection

Verified flagging in seconds vs. minutes of manual review.

CAP 03

Airside Perimeter & Runway

Person, vehicle, and drone classification at fence-line and movement areas.

System in Use

What an AleraVision feed looks like in airports.

Live sensor input on the left. AI-classified, operator-ready event on the right. No more raw video review.

Airport terminal interior at dawn with AI bounding boxes on bags and queue analytics overlay.

Live · AIRPORTS_FEED_01

Airports · Terminal · Queue + unattended-bag detection

AI-generated scenario

How It Works

Sensor in. Verified event out. In milliseconds.

STEP 01

Sensor Integration

Connect existing video, audio, environmental, and IoT estate. Open protocols, no rip-and-replace.

STEP 02

Real-Time Analysis

Multi-modal AI fuses streams and classifies intent at sub-12ms latency.

STEP 03

Instant Alerts + Dashboard

Verified events route to the right responder. Live dashboard, mobile, and SIEM/BMS integration.

ROI

Outcomes you can model on a one-page memo.

−34%

Checkpoint surge events

Predictive routing

−68%

Unattended-bag false evacuations

Verified classification

100%

Audit-ready

Continuous TSA-aligned evidence

Enterprise-Ready

Engaged with hub airports, regional airports, and ground-handling operators.

SOC 2HIPAAISO 27001On-Prem Ready

Run on-time, on-budget, and on-evidence. Request a confidential briefing.

30-minute briefing with a solutions architect. Custom ROI model included.

Request a Demo