Recently, an article in New Food Magazine was published online titled AI and machine learning to be rolled out for more sustainable fishing, featuring the work of Smartfish H2020 partner the University of East Anglia.
In the article, Project leader from UEA´s School of Computing Science, Dr MackiewiczSciences, talked about their role in the project and the technologies Smartfish H2020 will develop further. He emphasizes that there have been extraordinary advances in camera technology, machine learning and artificial intelligence in recent years, and talked about how machines have become capable of performing certain vision tasks, such as image classification and object recognition, in real time and with high accuracy.
The UEA will primarly focus their work on wP4. The collaborations between the UEA, School of Computing Sciences, Cefas and Marine Scotland have enabled thevSchool’s Automated Visual Analysis Group to extend their expertise in developing computer vision algorithms and focus on machine learning techniques. Using deep learning’ neural networks the group has demonstrated levels of performance that exceed those of traditional algorithms for a variety of marine monitoring tasks such as detection of Jelly Fish in Sonar imagery (with Cefas) and automated analysis of fisheries CCTV (with Marine Scotland).