If you are a fleet operator dealing with manual reporting errors and regulatory fines — this project developed a next-generation Electronic Reporting System that automates species and weight identification. This reduces the administrative burden on crews and ensures 100% compliance with EU landing rules.
AI-Powered Automated Catch Recording and Reporting System for Commercial Fishing Fleets
Imagine a smart camera and scale system for fishing boats that automatically knows exactly what fish were caught and how much they weigh. Instead of fishers spending hours filling out tedious paperwork by hand, the system does it for them in real-time. It's like having an automated digital accountant on board that ensures everything is legal and accurate.
What needed solving
Fishing operators struggle with manual, error-prone catch reporting that consumes time and risks regulatory penalties. Regulators lack the data to ensure 100% of landings are monitored.
What was built
A suite of 10 technologies including the CatchScanner and a next-generation Electronic Reporting System (ERS) for automated species, size, and weight recording.
Who needs this
Who can put this to work
If you are a hardware provider dealing with a lack of standardized data for fisheries — this project developed the CatchScanner and AI identification tools. You can integrate these 10 new technologies into your existing vessel equipment to offer high-value digital transition services.
If you are a regulator dealing with the gap in landing controls — this project developed automated monitoring tools to help reach the goal of 100% of landings controlled by 2030. This allows for the detection of anomalous fishing events without needing a human inspector on every boat.
Quick answers
What is the cost or pricing for the system?
Based on available project data, specific pricing for the end-user is not mentioned as this is a research and innovation project.
Is the technology ready for industrial scale?
The project is currently testing and validating results; the CatchScanner has already been installed on 5 vessels to collect data.
How is the IP and licensing handled?
Based on available project data, specific licensing terms are not provided, but the project involves 17 partners including 5 SMEs and 5 industry actors.
Does this help with EU regulatory compliance?
Yes, it specifically aims to help reach the EU objective of 100% of landings controlled by 2030 through automated reporting.
How is the system integrated into existing workflows?
It is designed as a next-generation Electronic Reporting System (ERS) that replaces or upgrades manual catch recording on board vessels.
Who built it
The consortium is well-balanced for commercialization, featuring 17 partners across 8 countries. With a 29% industry ratio (including 5 SMEs), there is a strong link between the 5 research and 5 university partners and the actual end-users, ensuring the 10 developed technologies are grounded in operational reality.
Contact SINTEF OCEAN AS in Norway for technical specifications of the CatchScanner.
Talk to the team behind this work.
Contact us to explore licensing opportunities for the AI species identification modules.