RT Journal Article
T1 Use of computer vision onboard fishing vessels to quantify catches: the iObserver
A1 Vilas, Carlos
A1 Antelo, Luís T.
A1 Martín Rodríguez, Fernando
A1 Morales, Xesús
A1 Pérez Martín, Ricardo Isaac
A1 Alonso, Antonio A.
A1 Valeiras, Julio
A1 Abad, Esther
A1 Quinzan, M.
A1 Barral Martinez, M.
K1 3304.17 Sistemas en Tiempo Real
K1 3105.01 Reglamentación y Control
AB 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.
PB Marine Policy
SN 0308597X
YR 2020
FD 2020-06
LK http://hdl.handle.net/11093/3646
UL http://hdl.handle.net/11093/3646
LA eng
NO Marine Policy, 116, 103714 (2020)
DS Investigo
RD 10-dic-2024