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Airport intelligence / Norwich

Norwich puts an AI sign-language guide in the passenger's path

Norwich Airport has introduced Cassie, a sign-language wayfinding service, according to its own newsroom. The initiative is best understood as an accessibility service with testable user outcomes.

The picture at Norwich

The operating setting

Information that works for a hearing passenger may fail for someone who communicates in sign language. Wayfinding at a small airport still involves security, gates and changes to local procedures. An inaccessible fallback would defeat the purpose.

The airport announcement supports the service's existence; it does not demonstrate comprehension or accessibility across every passenger task. For sign-language information to be dependable during disruption, a traveller needs to know whether a display reflects the latest gate instruction and where to seek human help when it does not.

Selected implementations

The application and the limits of the evidence

01 / Deployed

Norwich puts an AI sign-language guide in the passenger's path

The operational problem

Deaf travellers need understandable airport instructions and reliable alternatives when an automated message is incomplete.

What the sources report

Norwich Airport's newsroom describes Cassie as an AI sign-language wayfinding service.

Why it matters

The valuable result is whether a traveller understands where to go and what to do at a particular moment.

What remains unproven

Independent user testing, real-time coverage, language variation and escalation effectiveness are not documented in the current record.

Sources and verification (1)

Norwich Airport newsroom · Evidence grade A

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

The wider register

What else is happening at Norwich?

The wider register below keeps any other recorded technology separate from this selected operational story. Its source and status should be assessed independently.

No additional publicly listed deployment records.

Aerostack assessment

Accessibility should be judged through the experience of people using the service, not the novelty of the interface.

The published sources remain available alongside the underlying implementation record; claimed results should retain their original attribution.

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.