Machine-Learning Luggage Tracking With Screening Data Transfer

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Solution Overview

Problem

Existing baggage handling systems are inefficient, costly, and resource-intensive, particularly for high-volume travel entities like cruise ships, due to the need for manual data entry and printed bag tags, which can lead to errors and resource constraints.

Innovation Solution

A system and method that utilizes a tracking device attached to luggage to store and transmit security screening information, including pseudo IDs and passenger data, allowing for automated luggage tracking and check-in across multiple travel modes, reducing the need for manual data entry and rescreening.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual data entry and printed bag tags are used for baggage handling, then security screening information can be recorded, but the process becomes inefficient, costly, and resource-intensive

Engineering Contradiction:
Improvesecurity screening information accuracyVSAvoidbaggage handling efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent replaces manual mechanical data entry processes with automated electronic systems. Tracking devices with memory automatically store security screening information, and this data is electronically transmitted between screening workstations, eliminating the need for manual transcription and printed tags while improving both accuracy and efficiency

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent creates electronic copies of security screening information that can be stored in tracking device memory and transmitted digitally. These electronic copies replace physical printed bag tags and enable automated data sharing across multiple travel modes without requiring re-screening or manual re-entry

Inventive Principle:
Principle #26Copying

2Ease of operation

If printed bag tags are used for each travel carrier, then baggage can be identified, but human resources are consumed for data entry and tag printing

Engineering Contradiction:
Improvebaggage identificationVSAvoidmanual processing requirements
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The tracking device on the baggage performs self-service by automatically storing its own security screening information in its memory and making this data available for retrieval. The baggage essentially manages its own identification data without requiring external manual intervention for data entry or tag printing

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The tracking device serves multiple functions: it identifies the baggage, stores security screening information, transmits data electronically, and enables check-in across multiple travel modes. This single device replaces the need for separate printed tags from each travel carrier and eliminates manual data entry processes

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Adaptability or versatility

If security screening information is not retained, then luggage can be transferred between travel modes, but rescreening is required which increases time and resource consumption

Engineering Contradiction:
Improvemulti-mode travel capabilityVSAvoidrescreening time
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

Security screening information is captured and stored in the tracking device memory during the initial screening process. This preliminary action ensures that when the baggage needs to transfer between travel modes, the screening data is already available and can be electronically transmitted, eliminating the need for time-consuming rescreening

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The tracking device acts as an intermediary that holds and transmits security screening information between different travel modes and screening workstations. This intermediary function enables seamless information sharing without requiring the baggage to undergo repeated screening processes

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20250336238A1Security, luggage tracking, and machine learning models
Publication Date: 2025.10.30 MATEER CRAIG
  • US20250336238A1 patent drawing
  • US20250336238A1 patent drawing
  • US20250336238A1 patent drawing

AI summary

Various methods and systems for training and utilizing machine learning models for tracking a luggage item of a passenger are disclosed. Representative systems may include custom computer architecture for operating a machine learning model utilizing a plurality of reference indicator data sets obtained from a first B-Type message used to train the machine learning model to determine a routine route and a plurality of reference indicator data sets from a second B-Type message used to train the machine learning model to determine a non-routine route relative to the routine route. The model may match first travel information of a passenger name and an International Air Transport Association (IATA) license plate number for a luggage item of a passenger in a manifest with second travel information from a created B-Type message comprising a reference indicator representative of a non-routine routed luggage item and generate delivery instruction of the luggage item.