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MidAmerica St. Louis

GoodMaps indoor navigation at MidAmerica St. Louis Airport

Lyon Saint-Exupéry Airport

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Arrow Analytics EZ-Board computer-vision carry-on analytics test at PIT Gate A7

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FAA SMART airspace and trajectory management platform

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Dubai Police AI systems for passenger screening, unattended baggage and camera analysis at Dubai airports

Airport intelligence / Casablanca Mohammed V

Casablanca installed bag-drop kiosks, but the AI contribution is unproven

Moroccan airport and airline sources describe ten self-service bag-drop kiosks at Mohammed V. Digital passenger access is important but should not become an invented AI case.

The picture at Casablanca Mohammed V

Operating context and evidence

Removing repeated manual steps can simplify a departure without any learned model. An automated bag drop does not have to use machine learning to be operationally worthwhile. It needs to print or associate the right labels, accept an eligible bag and route exceptions to an employee. Those are the tasks any airport-side evaluation ought to measure.

The task is straightforward. Bag-drop machines must read or associate baggage information, accept eligible items and send exceptions to staff, without necessarily calling a predictive model. That is why a generic claim about airport AI would be misplaced here.

ONDA and Royal Air Maroc were reported installing ten Terminal 1 bag-drop kiosks in December 2025. The appropriate measure is how quickly and reliably travellers complete baggage acceptance, including oversize bags and exceptions. A self-service kiosk alone cannot answer that question.

Automated bag acceptance is a concrete service with outcomes that could be measured.

Selected implementations

Reported technology and its limits

01 / Deployed · limited scope

Casablanca installed bag-drop kiosks, but the AI contribution is unproven

The operational problem

Staff must handle travellers whose baggage or documents cannot be processed automatically.

What the sources report

Moroccan reporting described the new Terminal 1 bag-drop facilities.

Why it matters

A known number and date provide a verifiable technology footprint.

What remains unproven

No independent passenger-time savings or documented machine-learning role is established.

Sources and verification (1)

Le Reporter (MAP) · Evidence grade B

Evidence supports a reported claim; it does not automatically establish a measured operating benefit.

The wider register

What else is happening at Casablanca Mohammed V?

The full register discloses the relevant source details. Conventional airport automation remains distinguishable from an independently verified AI implementation.

ONDA automatic gates and digital passenger journey at Mohammed V · Deployed · limited scope

In March 2025 ONDA replaced dual checks at Mohammed V with automatic gates.

It then launched a digital passenger journey for AFCON 2025.

Sources and verification (3)

Maroc.ma (MAP, official) · Evidence grade A

We Are Tech Africa · Evidence grade B

Hespress English · Evidence grade B

Evidence supports a reported claim; it does not automatically establish a measured operating benefit.

Open the full record →

Editorial assessment

Casablanca's new bag-drop capacity is a straightforward passenger-processing development. It should not be used as proof of algorithmic decision-making without further sources.

Live data from the Aerostack register. Status reflects published evidence only. See Our approach for how records are graded.

Aerostack tracks AI deployments across airports and airlines, with the published evidence behind each record. Photography is real aviation imagery. Record thumbnails may show the named airport or airline; other photographs do not.