Project
Our fisheries analysis R&D project encompasses three distinct initiatives: PONTOS, SIRCEO, and PANOPTES, all aimed at optimizing the management of marine resources and ensuring compliance with international regulations through the counting and assessment of catches.
The project integrates a range of features including:
- Catches capture :
We have developed an advanced system of onboard cameras that capture real-time footage of catches during fishing operations. This technology enables meticulous monitoring of the captured species, with the objective to integrate automatic identification.
- Database Labeling :
In collaboration with Bureau Veritas, we have established a comprehensive labeling process to construct an information-rich database. This database contains qualitative and quantitative data regarding various tuna species. These data serve as a learning set for the AI, thereby enhancing its ability to precisely identify and differentiate species.
- Species identification based on Artificial Intelligence :
We are working on the design and integration of an advanced artificial intelligence model. This model is proficient in automatically recognizing fish species, estimating their size and weight based on visual data provided by the cameras. We aim to have a swift and precise evaluation of catches, to help to automatically identify the catches composition onboard tuna purse seiner.
The technologies developed under this project are highly adaptable to other fisheries, paving the way for broader usage and a positive impact on marine resource management across diverse contexts.
Our partners on this project
Labels and supports
This project won the “Ruban vert for Sustainable Fishing” 2023 competition, with the Special Prize.
This project was supported by the Brittany Region and Europe. It is also certified by Pôle Mer Bretagne Atlantique.
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