ENFIELD 2nd Innovation Scheme Open Call
ENFIELD project has 1.1M€ to provide support at least 18 small scale projects to answer specific technical challenges.
ENFIELD will launch 2 Open Calls to attract R&D intensive establishments to conduct applied research activities within energy, healthcare, manufacturing, and space sectors. At the same time, ENFIELD will spread the latest and most advanced knowledge to the academic and industrial AI laboratories beyond the consortium members and build a stronger network across Europe.
One of the call challenges is IDS.1 - Space-based maritime surveillance.
State of the Art:
Currently, industry Remote Sensing (RS) and Earth Observation (EO) plays a strong role in the surveillance of marine and maritime fields. Object-detection, segmentation, and classification models are widely used to infer on images derived from space-based instruments. The main purpose is the detection and monitoring of illegal fishing activities, oil spills, algal bloom events, and sea pollution among others.
Scientific Challenges:
Several scientific challenges persist in leveraging EO and AI for maritime surveillance. The main challenges that have to be faced are the dynamic character (e.g., vessels on movement, oil spill development, etc) of the events in the sea, the variability of sea conditions, the integration of processing data from multiple EO sources and to ensure rapid response capabilities by the incorporation of multiple EO sources, while at the same time the number of false alarms is minimized.
The main object of this ENFIELD scientific challenge is the application of an AI and EO based approach for the development of a proof-of-concept application for the continuous monitoring and the triggering of alerts for threats (e.g., illegal fishing, pollution, oil spills, etc.) in the Exclusive Economic Zone of Cyprus (Mediterranean Sea)
Expected Results:
This use case aims to investigate innovative AI-based approaches and the development of a proof-of-concept application for the continuous monitoring of the maritime sector using Earth Observation data. From this industrial and scientific challenge, the following are expected:
- A publication at a high-impact factor journal.
- AI Algorithms/models.
- A proof-of-concept application.
More details on the specifics of the call for proposals
