SOURCE-LINKED INTELLIGENCE

Optimized Real-time maritime Border Surveillance with Intelligent satellite-drone Systems

CORDIS · observation · Publication date unknown

push their limits in terms of autonomy and sensing to support maritime border management applications, able to deal with extreme and diverse weather and sea conditions; (iii) exploiting cutting-edge Machine Learning (ML) models to anticipate potential threats in high-risk zones and optimise the surveillance UAV flight plans, making the most out of available flight time and sea area coverage; and (iv) fusing effectively the massive multi-modal data gathered during operation and train distributed ML models for real-time decision making that will ensure faster search and rescue of migration incidents. ORBIS will address early on key market, regulatory, ethical and security requirements towards accelerating access to the civil security market, while engaging with other EU SMEs and key market actors, following a clear innovation management strategy. Finally, ORBIS will document best practices and lessons learnt in clear replicable steps, acting as a successful case study that paves the way for others small innovators to in their go-to-market strategy. Regulatory and policy recommendation

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

1499966.07

unit

EUR