De-Personalized Baggage Screening Data Sharing Across Borders
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Solution Overview
Problem
Existing baggage handling systems in travel carriers are inefficient, costly, and resource-intensive, particularly during high-volume travel periods, leading to delays and increased human resource consumption, and luggage screening processes across borders can be cumbersome and prone to errors.
Innovation Solution
A system and method for converting security screening images and baggage data into structured data format for sharing across different security authorities, enabling real-time processing and display of screening results, with automated re-screening and manifest generation to streamline luggage handling and border crossing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual baggage handling and security screening processes are used, then flexibility and adaptability are maintained, but productivity is reduced and human resource consumption increases
Solution Approach 1:
The system enables automated self-service processing where the baggage handling system automatically retrieves security screening images, converts them to structured formats, and shares them with border authorities without manual intervention. The Departure Control System automatically performs data extraction and formatting operations.
Solution Approach 2:
The patent replaces manual mechanical processes with automated electronic systems. Optical character recognition (OCR) technology automatically extracts data from images, and computer algorithms automatically format and transmit data, substituting human operators and manual procedures.
2Loss of time
If traditional security screening image sharing methods are used, then data security is maintained, but loss of time increases due to manual processing
Solution Approach 1:
The system introduces a structured data format as an intermediary between the security screening image and the border authority. The Departure Control System acts as a mediator that automatically extracts, formats, and transmits only necessary information through secure electronic channels, reducing time while maintaining security protocols.
Solution Approach 2:
The system extracts only the essential data elements from the complete security screening image using optical character recognition and data extraction algorithms. This selective extraction removes unnecessary information while retaining critical security data, reducing processing time and data transmission requirements.
3Manufacturing precision
If manual data entry and processing are used, then adaptability to different formats is maintained, but manufacturing precision decreases due to human errors
Solution Approach 1:
The patent replaces manual data entry with automated optical character recognition and data extraction systems. These electronic systems eliminate human errors in data transcription while maintaining high precision through algorithmic validation and standardized formatting protocols.
Solution Approach 2:
The system employs a universal structured data format that can accommodate multiple source formats and destinations. This multi-functional approach allows the same extraction and formatting system to handle different baggage types, airlines, and border authorities, reducing complexity through standardization.
4Productivity
If automated systems are implemented, then productivity increases, but device complexity increases
Solution Approach 1:
The system performs preliminary data extraction and formatting operations automatically as baggage is checked in, before border crossing occurs. This advance processing ensures data is ready for rapid transmission when needed, increasing productivity without requiring complex real-time processing systems.
Solution Approach 2:
The automated system is divided into distinct functional modules: image retrieval module, data extraction module, formatting module, and transmission module. This segmentation allows each component to be optimized independently while working together to achieve high productivity without overwhelming system complexity.
Data Source
AI summary
Provided is a system and method for de-personalized security data file sharing using a unique passenger identifier, the method including: obtaining, from an IATA, passenger data including a unique passenger identifier (UPID) linked to a check-in passenger and a unique baggage identifier for a checked-in luggage item of the passenger; depersonalizing the passenger data; retrieving a security screening image (SSI) representative of contents of the checked-in luggage item; converting the SSI and at least a portion of the passenger data into SSI file sharing data for a security screening tool; transmitting the SSI file sharing data to a secure system associated with a border crossing airport to be used by a second security authority to perform a security screening process using the security screening tool; receiving a first screening message associated with a result of the security screening process; and causing the result to be displayed, wherein the result includes one of: a first result representative of cleared security screening; or a second result representative of failed security screening, wherein one or more of the passenger or the checked-in luggage item that failed the security screening are flagged for further security inspection.