DocumentCode :
3060150
Title :
A vision-based system for on-board identification and estimation of discarded bio-mass: A tool for contributing to marine resources sustainability
Author :
Antelo, L.T. ; Ordonez, T. ; Minino, I. ; Gracia, Joe R. ; Ribes, E. ; Hervas, Javier ; Simon, Stefan ; Alonso, A.A.
Author_Institution :
IIM, Process Eng. Group, CSIC, Vigo, Spain
fYear :
2011
fDate :
6-9 June 2011
Firstpage :
1
Lastpage :
8
Abstract :
In marine harvesting, fish waste due to the discards of non-targeted species represent a risk for the sustainability of fisheries, a loss of potentially valuable living resources and a threat for the ecological equilibrium. The project FAROS aims to develop and implement an efficient, integral management network for discards, to reduce global impact of this established practice, while putting in value and optimising the use of the by-catch. The development of an on-ship automated system for discards evaluation and species biomass estimation is proposed in this contribution. The Biomass Estimation Optical System (BEOS) integrates machine vision technologies and optical information processing and feature extraction by means of nonlinear modeling based on artificial neural networks. A first functional prototype and a methodology for system implementation and operation are presented here.
Keywords :
aquaculture; computer vision; feature extraction; optical information processing; FAROS; biomass estimation optical system; discarded biomass; ecological equilibrium; feature extraction; fisheries; machine vision technologies; marine harvesting; marine resources sustainability; on-board estimation; on-board identification; on-ship automated system; optical information processing; vision-based system; Biological system modeling; Biomass; Cameras; Estimation; Image color analysis; Marine animals; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
OCEANS, 2011 IEEE - Spain
Conference_Location :
Santander
Print_ISBN :
978-1-4577-0086-6
Type :
conf
DOI :
10.1109/Oceans-Spain.2011.6003548
Filename :
6003548
Link To Document :
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