The objectives of the PopEye project are to:
To achieve the above, the project will develop in four phases, each closely linked to specific activities and objectives.
The project will start by surveying the existing literature and technologies to identify the main trends, theories, and findings in regard to biometrics on-the-move. Simultaneously,
the user needs and requirements will be extracted through the involvement of key stakeholders to derive the technical requirements related to proposed biometric technologies, thus shaping the framework architecture of the project and building a bridge between its objectives and their real-world impact.
At the end of this phase, a detailed roadmap for the Research & Development activities will be produced, which will serve as a compass for the project’s workplan.
Building on the existing capabilities and knowledge of ‘on-the-move’ biometrics, research and development will be split into complementary activities: face and iris recognition
in challenging border control points, and ridge and behavioural recognition on-the-move.
Throughout this process, PopEye will undergo continuous legal and ethical assessment to safeguard compliance with applicable EU regulations, mitigate bias and discrimination,
and enhance trust in biometric technologies and AI.
To showcase the efficiency and effectiveness of the proposed solutions, the integrated framework will be demonstrated in real-life operation settings at both land and sea borders. These validation campaigns will encompass various identification and verification scenarios: open-air environments, night-time and poor lighting conditions, space constraints, and passengers at a distance travelling by foot and car. Furthermore, security practitioners will undergo training on the PopEye platform to assess its functionality and the availability of infrastructure
Based on end-user’s feedback, manuals of best practice will be created, outlining recommended actions for each pilot case. Along with information about the PopEye platform and integrated technologies, these will become training materials for end-users.
Lastly, the project will pursue four strategies to promote its implementation: