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Bridging the gap between EU external border surveillance & technological innovation(s): The case of BorderUAS & Lessons-learned on multi-sensing & data analysis for border Policing

Sat, September 6, 8:00 to 9:15am, Communications Building (CN), CN 3104

Abstract

The task of EU external border policing and transnational crime containment is evidently underpinned by a multifaceted range of surveillance technologies deployed and integrated at the Borders, either as part of a wholesome operational architecture or as a means of testing and validating newly conceived solutions under realistic deployment conditions. In the contemporary EU border scene, the technological assets progressively come about as the result of EU Horizon endeavors, ultimately seeking to bridge the gap between practitioners’ empirical capacity and the scientific knowledge stemming from the combined effort(s) on the part the EU Project affiliated entities (i.e. Scientific Institutes, Polytechnic faculties, SMEs, Private companies etc.).BorderUAS constitutes one such case, where the bridging of the gap is sought through, (a) the development of a multi-sensing framework comprising COTS (EOS, Ku-band radar) & proofs-of-concept (Acoustic camera, L-band MIMO SAR, PTZ with IR & CCTV assets etc.) sensors and cameras, (b) advanced algorithms supporting detection(s), target classification(s) and land-cover segmentation (supervised classification), (c) the designing of multiple interfaces (C2, Mission Planner, MAPTHINK) to intelligibly underpin data-level integration, event-visualization & real-time decision-making targeting border surveillance teams. Consequently, the above mentioned novelties were tested and validated, in collaboration with project-affiliated Border guard authorities from EU (Greece, Romania, Bulgaria) & non-EU Countries (Moldova), in real-world scenarios assigned to three (3) separate field-trials (Croatia, Romania, Greece).Through its demonstrated features the BorderUAS project resulted in the derivation of lessons learned, that can lead to the formulation of guidelines assisting in like-minded (future) EU Projects concerned with multi-sensing embedded on sizeable platforms, on such topics as real-time video analysis, ontological framework unification and data fusion, pipeline optimizations targeting data analysis etc. Moreover, the deployment of BorderUAS technologies in a real-world pilot context provided the grounds for guideline formulation surrounding scenario representativeness together with improved synergies between involved stakeholders.

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