If you are a fleet operator dealing with high rates of accidental bycatch and manual reporting errors — this project developed an AI-driven decision-support system that optimizes operations and reduces unreported landings.
AI-Powered Digital Monitoring and Automated Species Recognition for Sustainable Commercial Fishing
Imagine a smart camera and a DNA test for fishing boats that automatically knows exactly what fish are being caught. Instead of people manually writing down lists, AI identifies the species and volume in real-time. This helps captains avoid catching the wrong fish and proves to customers that the seafood is legally and sustainably sourced.
What needed solving
Fishing fleets struggle with inefficient manual reporting and high bycatch rates, leading to regulatory fines and low consumer trust in seafood sustainability.
What was built
An AI-powered monitoring system combining EM cameras, DNA analysis, and robotics for automated species recognition and catch reporting.
Who needs this
Who can put this to work
If you are a regulatory agency dealing with illegal fishing and system tampering — this project developed a GDPR-compliant control and enforcement system using electronic monitoring and robotics to detect violations.
If you are a distributor dealing with low consumer trust in fish origin — this project developed genetic monitoring and imaging tools that verify species identity and product quality.
Quick answers
What is the cost or price of implementing these tools?
Based on available project data, specific pricing or implementation costs are not provided; the project focuses on establishing an economically viable system.
Is the technology ready for industrial scale?
The project is testing the technology through 5 pilot studies across different fisheries and sea basins to ensure it works in real-world operational environments.
How is the IP and licensing handled?
Based on available project data, there is no specific information regarding IP or licensing agreements in the provided text.
Does this help with legal compliance?
Yes, it develops a GDPR-compliant system to identify regulatory violations and prevent illegal practices like discarding fish.
How does the system integrate with existing boat hardware?
It integrates sensors, EM cameras, and robotics across various catch handling facilities to automate reporting and species recognition.
Who built it
The consortium is well-balanced for commercial transition, featuring 19 partners with a 37% industry ratio (7 industry partners, 7 of which are SMEs). The mix of 4 research centers and 3 universities ensures scientific rigor, while the inclusion of national fisheries authorities from Norway, Denmark, and Belgium suggests a direct path to regulatory adoption.
Contact EIGEN VERMOGEN VAN HET INSTITUUT VOOR LANDBOUW- EN VISSERIJONDERZOEK in Belgium
Talk to the team behind this work.
Contact us to connect with the OptiFish consortium for pilot integration.