Use of computer vision onboard fi shing vessels to quantify catches: The iObserver
| Autor: | Ricardo I. Pérez-Martín, Carlos Vilas, M. Barral-Martinez, X. Morales, Antonio A. Alonso, M. Quinzán, Luis T. Antelo, E. Abad, Julio Valeiras, Fernando Martin-Rodriguez |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
Economics and Econometrics Computer science Fishing Conveyor belt Management Monitoring Policy and Law Aquatic Science 01 natural sciences Software Centro Oceanográfico de Vigo Computer vision Pesquerías Species identification General Environmental Science Shore geography geography.geographical_feature_category business.industry 010604 marine biology & hydrobiology 04 agricultural and veterinary sciences 3105.01 Reglamentación y Control On board Catch quantification Open source Sustainable management Landing obligation 040102 fisheries 0401 agriculture forestry and fisheries Fisheries management Artificial intelligence business Law 3304.17 Sistemas en Tiempo Real |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname |
| Popis: | 10 pages, 13 figures, 2 tables Monitoring plays a key role in all aspects of fisheries management, including those related to sustainable management of resources, the economic performance of the fishery, and the distribution of benefits from the exploitation of the fishery and environment. In this manuscript, an electronic device (the iObserver) is described, which aims to improve fisheries monitoring by identifying and quantifying fishing catches on board commercial vessels. This device is located over the conveyor belt in the fishing sorting area to automatically take pictures of the entire catch during fish separation. Each picture is analyzed using open source image recognition software to identify the number of individuals, the species and length of each individual based on skin descriptors (color, texture), and shape. The iObserver is equipped with a graphical and user-friendly interface. The information provided by the iObserver is sent to the RedBox software, where it is aggregated and augmented with vessel instrumentation data, such as location, velocity, and course. Then, the data are sent to a shore-based center to be used for different purposes, including the following: feeding mathematical models describing stock evolution; identifying those regions with a large presence of individuals below a Minimum Conservation Reference Size (MCRS); and supporting administrative decisions about a given fishing region The authors acknowledge funding received from the EU LIFE+program (Project LIFE iSEAS–LIFE13 ENV/ES/000131) |
| Databáze: | OpenAIRE |
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