ODYSSEUS
Unobtrusive Technologies for Secure and Seamless Border Crossing for Travel Facilitation
ODYSSEUS is a Horizon Europe funded project that aims to enhance the experience of border crossing for travellers and border authorities’ staff while keeping secure and tracking the movements across external water and land borders of the EU. This initiative aims to protect passengers’ fundamental rights while promoting the security and integrity of European space by minimising unauthorised cross-border movements of people and goods. ODYSSEUS also intends to optimise the safety of customs and supply chain by improving the prevention, detection, deterrence, and fight against crime involving goods flows across EU external border crossing points and through the supply chain, reducing disruption to trade flows.
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You can find more information about the ODYSSEUS Project here:
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BAG-INTEL
BAG-INTEL is a Horizon Europe–funded project designed to enhance the efficiency and effectiveness of customs controls for passenger baggage at inland border airports across the European Union. The project addresses the growing volume of air travellers and the limited human resources available, providing border and customs authorities with advanced tools to strengthen operational performance without requiring additional personnel.
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BAG-INTEL seeks to support the protection of passengers’ rights while ensuring secure, effective customs inspections. By leveraging artificial intelligence and data-driven decision-making tools, the project enhances the detection of contraband, streamlines baggage handling processes, and improves overall system performance.
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The project develops innovative solutions including AI-powered contraband detection in X-ray scanning, AI-based end-to-end luggage reidentification, and a digital twin for system visualization and optimization. These technologies are validated through targeted use cases at multiple airports, supported by intuitive training materials for end users, ensuring practical applicability and seamless integration into daily operations.
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You can find more information about the BAG-INTEL Project here:
Website
CUSTOM AI
CustomAI is a Horizon Europe–funded project designed to prevent the entry of illegal goods, safeguard public safety and revenue, and ensure the smooth flow of international commerce. The project addresses the growing complexity of global trade and the increasing pressure on customs authorities, providing advanced AI-driven tools to strengthen operational performance without requiring additional personnel.
CustomAI seeks to support efficient and secure customs inspections while protecting the rights of legitimate traders. By leveraging artificial intelligence, machine learning, and data-driven decision-making, the project enhances the detection of contraband, optimizes inspection processes, and improves overall system performance.
The project develops innovative solutions including AI-powered anomaly detection in cargo and luggage scans, automated end-to-end tracking of shipments, and digital twins for operational planning and visualization. These technologies are validated through targeted use cases across multiple ports and airports, supported by intuitive training materials for end users, ensuring practical applicability and seamless integration into daily operations.
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You can find more information about the CUSTOM AI Project here:
Website
BORDERLINK
BORDERLINK is a Horizon Europe–funded project designed to enhance the efficiency and effectiveness of customs and border management across European transport hubs. The project addresses the increasing volume of cross-border movements and the limited human resources available, providing border and customs authorities with advanced technological tools to strengthen operational performance without requiring additional personnel.
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BORDERLINK aims to safeguard travellers’ rights while ensuring secure, effective inspections. By leveraging artificial intelligence, data-driven decision-making, and innovative digital tools, the project enhances detection of contraband, optimizes inspection processes, and improves overall system performance.
The project develops innovative solutions including AI-powered contraband detection in X-ray scanning, AI-based cargo and luggage reidentification, and digital twins for system visualization and optimization. These technologies are validated through targeted use cases at multiple transport hubs and are supported by intuitive training materials, ensuring practical applicability and seamless integration into daily operations.
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You can find more information about the BORDERLINK Project here:
BORDERUAS
Fifteen (15) organizations from nine (9) European countries joined forces for a new project on technologies which enhance border and external security.
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The project combines an ultra-high resolution multi-sensor surveillance payload for supporting border surveillance, search & rescue applications and specifically rough terrain detection.
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The sensor payload includes synthetic aperture radar (SAR), shortwave/longwave infrared (SWIR/LWIR) and acoustic cameras for landscape mapping, as well as optical and hyperspectral cameras for indirect detection (via vegetation disturbance).
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The project uses the ground-based infrastructure of border police units (command & control centers), innovative data models (to identify irregular crossing patterns and preferred routes) and advanced audio/video analytics and storage (to provide additional detection capabilities).
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You can find more information about the BorderUAS Project here:
