Portfolio of real-time AI-based selectivity concepts to identify and avoid unwanted catches
It brings together a portfolio of real-time, AI-powered acoustic and visual selectivity tools designed to identify species during fishing operations and help prevent the capture of unwanted or protected species.
By combining advanced image recognition and acoustic analysis technologies, AI Decide enables fishers to make immediate, informed decisions at sea, improving catch selectivity and reducing unwanted bycatch in a practical and operational way.
For more details on each solution, please click on the associated picture.
AI-based acoustic tools – Zunibal, AZTI
Made to avoid non target species in demersal fisheries and optimise fishing efficiency in purse seine fisheries.
Catch Scanner – Melbu Systems and SINTEF
An AI-based hardware & user interface software for real time after-haul catch reporting for decision support on fishing operations.
Real-time trawl camera and industry based platform – DTU and Royal Greenland
A camera connected to an AI catch monitoring system to analyse which fish are entering the gear combined with an industry-based survey platform for commercial vessels to provide spatial and temporal information (stock, sizes, vulnerable species).
Fish Scanner – Marine and Freshwater Institute of Iceland
A remote selectivity device with real time identification system to detect in real-time which species are entering the gear.
Why this matters ?
Improving selectivity is one of the most effective ways to enhance sustainability in modern fisheries. AI Decide supports this goal by:
- Reducing unwanted catches and discards
- Minimising impacts on vulnerable or protected species
- Increasing operational efficiency by targeting desired species more precisely
By providing real-time insights directly during fishing operations, AI Decide helps shift fisheries management from reactive correction to proactive prevention, supporting both ecological sustainability and long-term economic viability.
