Irregularity detection in net pens exploiting Computer Vision
نویسندگان
چکیده
Protecting the remaining wild salmon stock in Norway is of utmost importance and requires that farmed cannot escape from aquaculture sites. As holes net-cages are responsible for a large fraction escaped industry has to perform frequent inspections fish cage integrity. In this paper we propose an image processing computer vision based attention mechanism towards more automated fish-cage inspection. The presented algorithm allows indicate areas videos showing net-pen locations where potential present. We show effectivity approach on video-recordings also commercial fish-cages.
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ژورنال
عنوان ژورنال: IFAC-PapersOnLine
سال: 2022
ISSN: ['2405-8963', '2405-8971']
DOI: https://doi.org/10.1016/j.ifacol.2022.10.463