Baggage reclaim

First bag to last bag, timed on every carousel. First-bag and last-bag times are logged by hand, and a crowded belt is noticed by passengers before anyone in operations.

Talk to us All 18 use cases

Travellers collecting suitcases from an airport baggage carousel

Bag on belt

Passenger · bag collected

Waiting 6 min

Belt density 82%

LIVECAM 31 · Reclaim, carousel 3

4 min 50First bag after arrival

68Bags on the belt

82%Belt density

The problem

Why it matters.

First-bag and last-bag times are logged by hand, and a crowded belt is noticed by passengers before anyone in operations.

What Eye4.ai reads

First and last bag on the beltFirst and last passenger at the carouselBag density along the belt

Where it is used

Reclaim carouselsOversize beltsTransfer halls

How it works

Set up in four steps.

Self-service, in the browser, on the cameras you already own.

01Connect
Use a camera that already sees the carousel. No new hardware.
02Set the rule
Mark the belt and the waiting area as zones, and link each flight to its carousel.
03Measure
Eye4.ai timestamps the first and last bag and passenger, and measures how full the belt is, live.
04Act
Belt density above 80% on carousel 3. Reclaim supervisor alerted.

Alerts and results

What your team gets.

Alerts reach the person who can act, with the time, place and frame. Every event is kept for reporting.

Belt density above 80% · carousel 3Reclaim supervisor alerted

10:24

First bag later than the service levelGround handler notified

10:26

Last bag deliveredFlight closed in the report

10:41

First-bag and last-bag times for every flight, without a clipboard
Carousel congestion seen before it overflows
Service-level reporting straight from the camera

Related use cases

Often measured on the same cameras.

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Zone A · 82% fullSeating · 41%

Flow and throughputOccupancy and densitySee how full every space is, as it fills.

ULD in · read 10:42

Tug

Stored 3 d 06 h

Asset and processULD identification and storageEvery container identified, with its time in storage.