IOBSERVER: species recognition via computer vision

Authors

  • Fernando Martín Rodríguez
  • Mónica Barral Martínez
  • Ángel Besteiro Fernández
  • José Antonio Vilán Vilán

Abstract

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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Issue

No. 19 (2016)

Section

Articles

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