Security, tracking device, and luggage recovery

Abstract

Various methods, computer systems, and machine learning models for luggage tracking and recovery are disclosed. The methods and computer systems may include matching first travel information including a passenger name and an International Air Transport Association (IATA) license plate number for a luggage item of a passenger in a flight manifest with second travel information from a created B-Type message that includes a reference indicator representative of a non-routine routed luggage item. The methods and computer systems may include generating an anomalous luggage item manifest record for the non-routine routed luggage item associated with the flight manifest; retrieving third travel information of the non-routine routed luggage item generated by a baggage handling system prior to or after the created B-Type message; and locating the non-routine routed the luggage item. Thereafter, the luggage item may be routed to its intended destination.

Dependencies are inferred from the claim text.