Boost Applied munition detection through Smart data inTegration and AI workflows
BASTA
Boost Applied munition detection through Smart data inTegration and AI workflows
Existing approaches for the detection of submerged warfare material are time consuming and costly. They suffer from limited objectivity and acknowledgement of uncertainties, which is partly due to the lack of an industry standard for data acquisition and handling. This resulted in high heterogeneity in process chains and data workflows.
BASTA aims at advancing the approach for munition detection both on local and a larger scale. The project seeks to advance data acquisition through ultra-high-resolution 3D sub-bottom profiling (SBP) and intelligent autonomous underwater vehicle (AUV) based magnetic mapping as part of an adaptive and iterative survey approach. In addition, it will foster sustainable use of survey and historical data within a multi-sensor database. Conducting data analysis of big data by means of artificial intelligence will lead to new approaches in detection and identification of munition. New tools, methods and workflows will be discussed with stakeholders, with the aim of formalizing recommendations for munitions detection for industry and government players.
Dezember 2019
November 2022
997000
463000
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EU
/ European Maritime and Fisheries Fund EMFF, Blue Economy, Blue Labs
Helmholtz-Zentrum für Ozeanforschung Kiel (GEOMAR), Germany
Flanders Marine Institute (VLIZ), EGEOS GmbH, G-tec S.A.