Imagine a digital security guard that can spot a fake ID or a morphed photo instantly, even on a regular smartphone. It's like upgrading a simple lock to a smart system that recognizes faces and irises while people are moving. The goal is to make sure the person holding the passport is actually who they claim to be, without slowing down the line.
Law enforcement and border guards struggle with highly skilled defrauders using morphed or fake identity documents. Existing lab technologies often fail to reach the operational level needed for real-world deployment.
A suite of 6 applications including cloud-based ID issuance, smartphone-based identity checks, document authentication modules, land-border pre-registration, EES kiosks with video surveillance, and on-the-move face/iris fast tracks.
If you are a government agency dealing with slow land-border crossings and fake travel documents — this project developed a pre-registration system and EES kiosks that use video surveillance to catch fraud. This allows for a fast track for enrolled travelers using on-the-move face and iris recognition.
If you are an ID issuer dealing with fraudulent applications and poor quality biometric data — this project developed a secure cloud-based server for real-time quality checks. This ensures that identity documents are issued only after rigorous fraud detection.
If you are a law enforcement agency dealing with the need for mobile identity verification in the field — this project developed a mobile check system that works on commercially available smartphones. This enables officers to authenticate documents and identities instantly without returning to a central station.
Based on available project data, no specific pricing or cost information is provided.
Yes, the project aims for a minimum TRL7 by running six different pilot use cases in real-world environments to ensure operational maturity.
Based on available project data, specific licensing terms are not mentioned, but the project emphasizes open, standardized interfaces for reuse by different providers.
The system uses privacy-by-design principles and flexible components that can be customized to meet both European and varying national data protection legislations.
The project focuses on interoperability through the design of open, well-defined, and standardized interfaces to allow components to be reused in different contexts.
The consortium is diverse and well-balanced for technology transfer, comprising 22 partners across 11 countries. With a 27% industry ratio (6 companies, including 3 SMEs), the project blends academic research from 5 universities and 4 research centers with practical industrial application, ensuring the 6 developed tools are grounded in operational reality.
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