Imagine a super-powered X-ray that doesn't just see shapes, but can actually tell the difference between harmless powder and dangerous explosives. It works like a digital filter that removes the noise, allowing security staff to spot illegal drugs or bombs without slowing down the mail. This means fewer packages need to be opened by hand, keeping the delivery speed high while keeping people safe.
Criminals use the high volume and anonymity of e-commerce postal flows to move illegal goods. Current customs inspection techniques are often too slow or inaccurate, causing business delays and operator fatigue.
A detection architecture combining multi-energy photon counting, neutron-induced gamma-ray spectroscopy, and X-ray diffraction. It includes an AI-ready imaging platform to identify specific threat substances.
If you are an express courier operator dealing with massive e-commerce volumes and the risk of illegal goods—this project developed a system-of-system detection architecture that identifies threats without hindering business speed. It reduces the need for manual physical inspections by providing sharper images and better substance discernment.
If you are a customs authority dealing with the anonymity of postal flows used by criminals—this project developed non-intrusive detection technologies like photon counting and X-ray diffraction. This allows for the identification of illicit drugs and explosives with higher accuracy and lower false positive rates.
If you are a security hardware manufacturer dealing with operator fatigue and high error rates in scanning—this project developed a combination of three next-generation detection technologies. This creates a platform for AI implementation that makes threat determination more accurate for the human operator.
Based on available project data, specific pricing or implementation costs are not provided.
The project focuses on a 'system-of-system' architecture designed for fast-moving postal and courier environments to ensure services remain undisrupted.
Based on available project data, the specific IP and licensing agreements are not detailed in the report summary.
The technology is designed to be non-intrusive so that it does not hinder the business model of the operator while providing customs with a deterrent against supply chain abuse.
The project period runs from 2022-10-01 to 2026-02-28, indicating it is currently in the development and piloting phase.
The consortium is heavily weighted toward practical application, with a 40% industry ratio comprising 8 industrial partners and 3 SMEs. With 20 partners across 8 countries, the project balances academic research (3 universities, 2 research centers) with operational end-users (7 other entities), ensuring the technology is built for real-world customs and postal environments.
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