Imagine trying to find a needle in a haystack using a blurry photo; that is how some current border X-rays work. This project improves those 'photos' and adds smarter tools, like chemical scanners, to spot dangerous goods more accurately. It also creates a better training manual so officers can spot threats faster without stopping every single truck.
Customs agencies suffer from high false-positive/negative rates in X-ray scanning, leading to excessive physical inspections and trade delays.
Advanced detection methods for threat materials and a structured system for sharing images and training data.
If you are a shipping firm dealing with shipment delays due to frequent physical inspections — this project developed improved detection and identification of threat materials that reduces the need for secondary controls. This means fewer trucks are pulled aside for manual checks.
If you are an equipment manufacturer dealing with high false-positive rates in scanners — this project developed advanced identification methods and structured image sharing that improves device performance. This allows for the creation of more accurate, market-competitive hardware.
If you are a software provider dealing with fragmented data sharing between customs agencies — this project developed improved communication and data sharing protocols. This enables the creation of interlinked systems for 10 different countries.
Based on available project data, no specific pricing or cost information is provided.
The project aims to harmonize controls across the EU Customs Union, suggesting a scale intended for international border crossing points, though specific scaling metrics are not listed.
Based on available project data, there are no details regarding patents or licensing agreements.
It aligns with the EU Customs Control Equipment Instrument (CCEI) and the planned reform of the Customs Union.
The project runs from 2025-03-01 to 2028-02-29.
The consortium is well-balanced for commercialization, featuring 18 partners across 10 countries. With an industry ratio of 39% and 5 SMEs included, there is a strong bridge between the 4 universities and 2 research centers and the actual market application of the technology.
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