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This paper is about the design of an automated computer vision system
that is able to recognize the species of fish individuals that are classified into a fishing
vessel and produces a report file with that information. This system is called iObserver
and it is a part of project Life-iSEAS (Life program).A very first version of the
system has been tested at the oceanographic vessel “Miguel Oliver”. At the time of
writing a more advanced prototype is being tested onboard other oceanographic
vessel: “Vizconde de Eza”. We will describe the hardware design and the algorithms
used by the computer vision software
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