What if every boarding delay cost was divided

by

?

Streamline boarding and boost passenger satisfaction with real-time carry-on baggage insights

Discover more

24%* increase in carry-on baggage since 2009

Insufficient cabin space

Only ~⅔ of passengers can store their bags in the overhead bins

Long delays during boarding

Excess luggage causes long delays, frustrates passengers, and creates conflicts

Regulatory pressure

Upcoming EU rules granting every passenger a free trolley will intensify the problem

Set up

A single camera at the e-gate detects and classifies carry-on baggage in real time.

Passenger insights

The system links baggage counts with boarding passes, creating passenger-level visibility with anonymized data.

Smart actions

Automated alerts let gate agents act early, with GDPR compliance ensured through on-premise anonymization.

AI for boarding optimization

See Luggage Tracker in action

Key functionalities

Smarter boarding, fewer delays

Thanks to fast deployment, Luggage tracker delivers real-time insights into carry-on baggage counts. From detecting non-compliant bags to predicting boarding duration, the system empowers airlines to act early and streamline operations.

Real-time evaluation

Assesses carry-on baggage early in the passenger journey for proactive planning, reducing workload for gate agents.

Non-compliance detection

Identifies bags that are too large or exceed the allowed number, enabling agents to act early and more precisely.

Predictive insights

Forecasts boarding duration and turnaround times with higher accuracy to support smoother operations.

Scalable SaaS

Adapts quickly to any airport infrastructure with a cloud-based setup.

Get in touch

One tool,
multiple benefits

The benefits

Boost boarding efficiency, enhance passenger experience, save costs, and enable smarter long-term planning.

POTENTIAL Cost Savings per MINUTES

€

45

Minutes saved per boarding

7

min

Passenger satisfaction

+

8

%

Return on
INVESTMENT

+

320

%

Any more questions?

What cameras do we need?

In order to integrate into our ecosystem and to ensure high quality event detection, some requirements apply:

• IP cameras
• Sourcing: direct or via video management system
• Resolution needs to be at least 1080p (Full HD)
• Video Codec H.264 or equivalent
• Minimum 10 frames per second (FPS) for training material
• Automated Color Correction

Can we use existing cameras?

Yes, it is possible to use existing hardware with our solution as long as it fulfils the requirements listed under “What cameras do we need?”. However, please note that the camera position is a crucial factor for quality of detections.  We always strive to make the most out of the existing hardware and are happy to assess the possibilities of your camera setup jointly with your team during a pilot phase.

What is needed for a hybrid edge-cloud setup?

To run the video processing on servers residing on-premise, we require specific hardware that is certified for Azure Stack HCI (https://azure.microsoft.com/en-us/products/azure-stack/hci). The exact hardware specifications depend on your setup (cameras, number of positions, etc.). Please reach out to us to determine the ideal setup for you.

What is needed for a pure cloud setup?

To run the video processing in the cloud, the raw camera streams of the positions need to be accessible from within the Azure Cloud. For that, we require you to setup an Azure ExpressRoute (https://azure.microsoft.com/en-us/products/expressroute) and to then pair the cameras in your Azure tenant with ours via Azure Virtual Network Peering.

Ready to elevate your data?

Let’s work together!

Empower your team with data and AI today to create a more impactful tomorrow.

Get in touch

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Streamline boarding and boost passenger satisfaction with real-time carry-on baggage insights

24%* increase in carry-on baggage since 2009

Our solution

Any more questions?