Baggage Handling

Airports use autonomous tractors and monitoring cameras to move baggage and watch baggage-handling work on the airside.

Business impact

• turnaround times — Lufthansa and Fraport use AI-powered cameras to identify inefficiencies that help optimise aircraft turnaround times.
• turnaround efficiency — SATS says the autonomous tractors are expected to improve turnaround efficiency.
• service reliability — SATS says the autonomous tractors are expected to improve service reliability for passengers.

Data requirements

• baggage handling activity (video) — AI-powered cameras monitor ground operations in real time.
• sensor and camera data from autonomous tractors (sensor) — The tractors use more than 10 sensors and cameras to navigate the airside environment.
• airside operational data (tabular) — Auto-Sim uses operational inputs to model and optimise airside operations in a digital environment.

AI methods and techniques

• autonomous navigation — Used by the tractors to drive airside without onboard drivers.
• computer vision — Used by AI-powered cameras and vehicle sensors to observe and navigate ground activity.
• real-time monitoring — Used to watch baggage handling and other ground operations as they happen.
• simulation — Aurrigo’s Auto-Sim models and optimizes airside operations in a digital environment.

Industries

Real-world evidence

3 documented case studies on record.

Companies using this: Aurrigo International plc, Lufthansa and Fraport, Changi Airport Group (CAG).