Baggage handling system and method using artificial intelligence
AssigneeDelta Air Lines, Inc.
InventorsSaurabh Rajole, Matthew DeGenova, Mallikarjuna Y. Bachu, Thayumanav Jayadevan, Nathaniel P. Helms
Life of this patent
Estimating the term…
Loading patent…
AssigneeDelta Air Lines, Inc.
InventorsSaurabh Rajole, Matthew DeGenova, Mallikarjuna Y. Bachu, Thayumanav Jayadevan, Nathaniel P. Helms
Estimating the term…
A system and methods that leverage artificial intelligence (AI) techniques by which one or more machine learning models are trained to improve baggage handling operations. The system and methods are applicable to other uses within airport operations such as aircraft cabin cleaning and aircraft fueling, as well as other operations, such as cargo handling, package delivery, etc. The system optimizes operations by fine tuning and tracking drive time per bag-run by allowing for nearby pickups/drops to minimize time and distance between baggage handler assignments. The system also manages all baggage handlers and tasks, adjusts baggage handler routing as flights depart and arrive an airport and identifies so-called hopeless baggage runs.
A computer-implemented method for controlling handling of baggage for aircraft arrivals and departures at an airport, comprising:
A system for controlling handling of baggage for aircraft arrivals and departures at an airport, comprising:
One or more non-transitory computer readable storage media encoded with instructions that, when executed by a computer, cause the computer to perform operations including:
Dependencies are inferred from the claim text.