IOBSERVER: species recognition via computer vision

Authors

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

DOI:

https://doi.org/10.5821/iwp.2016.19.14886

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.

Issue

No. 19 (2016)

Section

Articles

License

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