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Case study

How an airport cut ground-vehicle collisions by 74% with edge AI

A major international airport deployed rugged edge-AI perception on the apron — and changed what's possible on the ground.

How an airport cut ground-vehicle collisions by 74% with edge AI

Overview

Dense apron operations are unforgiving. Ground-service vehicles, tugs and aircraft share tight choreography under time pressure, and a single lapse can stall a gate for hours.

The team deployed rugged NRU-220 edge-AI computers running multi-camera perception at the apron edge, fusing YUAN capture with NVIDIA Jetson inference. Detections route to the operations network in under 200 ms.

Over the first quarter, the facility recorded 74% fewer ground-vehicle collisions, with 99.95% uptime across the fleet of edge units.

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