STEP 01
Capture
Cameras sit at the e-gate lanes. We take images of every cabin item as passengers walk through. Faces are blurred at capture. No change to the passenger flow.
Cabin baggage · above the wing
CarryOn
The data arrives before the bags do.
CarryOn counts, classifies and sizes every cabin bag as passengers enter the terminal — well before boarding starts. Gate agents stop guessing and start planning.
What breaks today
A cabin bag generates no data anywhere in its journey.
No tag, no scan, no record. The bag exists and the operation is blind to it.
You find out at the door.
Gate-checking becomes a precaution rather than a decision — too early and you take bags from a cabin that had room, too late and boarding slips.
Policy you can't enforce in the moment.
Two questions an agent can't answer while boarding 180 people: is this bag too big, and is this passenger carrying more than their fare allows? The allowance sits in the DCS. The bags are in the queue. Nobody joins them up — so enforcement becomes a person eyeballing a bag, inconsistent between agents and argued with by passengers.
Estimated, never counted.
Airlines can forecast passenger loads by route and season. Real-time cabin baggage is the number those forecasts don't have, so it gets estimated from load factor and fare mix instead of actuals.
How CarryOn works
Counted at the e-gate. Ready at the door.
STEP 02
Understand
Every bag classified by type — trolley, backpack, personal item, laptop bag — and by size: overhead, under-seat, oversized. Counted per passenger and per flight, against airline allowance rules.
STEP 03
Act
The count reaches the gate before the passengers do. Alerts fire as bin capacity approaches its threshold, so agents gate-check against a number instead of a hunch.
What you get
The data — and two ways to use it.
The data.
Bag count per flight in real time · type — trolley, backpack, laptop bag, shoulder bag · size class against your own limits · per-passenger count for allowance checks · capacity monitor with configurable thresholds · forecasts by route and time of day · trend analysis across stations.
Images stay at the airport
Build into your systems
The BagTalk API feeds data straight into your DCS, AODB or analytics platform. Open REST, documented and easy to use.
Or login to ours
Use our dashboards
Capacity management, live counts, trend analytics and configurable alerts. Nothing to build or host. Secure access from anywhere, any device.
Proof
Accurate at speed, at scale.
Classification
95%+
Bag type classification accuracy.
Sizing
90%+
Size-class accuracy against your limits.
In production
1M+
Cabin bags processed.
LIS ANA & Vinci Group
PDX Alaska Airlines
ARN Swedavia
Integration & deployment
Two cameras per lane. No new passenger process.
Feeds the airport AODB and the airline DCS through the BagTalk API, with a web dashboard and configurable alert thresholds — and no change to the passenger flow.
The product itself: activity dashboard, flight monitor, boarding briefs and out-of-spec passengers — the operating picture gate teams work from.
Get started
Start with one lane.
We prove the numbers on your own traffic before you commit to anything wider.