Imagine if airport security had a smart assistant that could spot illegal items in X-rays and track specific bags as they move through the terminal. Instead of officers guessing which bags to open, the system flags only the high-risk ones. It's like a digital filter that lets honest travelers breeze through while catching the bad actors.
Airports are seeing a surge in passengers while customs staffing remains limited. This leads to bottlenecks and a reliance on manual, experience-based inspections that may miss contraband.
An integrated system featuring AI X-ray contraband detection, camera-based luggage reidentification, and a digital twin for airport operational optimization.
If you are an airport operator dealing with massive growth in passenger numbers and limited staff — this project developed a digital twin and AI reidentification system that increases passenger flow by at least 20%.
If you are a customs agency dealing with contraband smuggling — this project developed AI-powered X-ray recognition that increases successful contraband detection by at least 20%.
If you are a security software provider dealing with the difficulty of tracking luggage across different zones — this project developed camera-based end-to-end reidentification of luggage to automate the tracking process.
Based on available project data, specific pricing or cost details are not provided as this is a research and innovation action.
Yes, the project is designed for testing in three different airport sizes: small, medium, and big, to ensure scalability across various operational contexts.
Based on available project data, the IP and licensing terms are not specified, but the project involves a consortium of 24 partners including 11 industry members.
The system is designed to derive risk indicators from external data, such as Advanced Passenger Information, and integrate them into a decision support tool.
The project period runs from 2023-09-01 to 2026-08-31, suggesting the system will be refined and tested through late 2026.
The consortium is heavily industry-weighted with 11 industrial partners (46% of the total), including 7 SMEs. This strong commercial presence, combined with 3 universities and 3 research centers across 9 countries, suggests a high focus on practical application and market viability rather than pure theory.
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