Remote video monitoring for offshore sea farms: Reliability and availability evaluation and image quality assessment via laboratory tests

Gabriele Di Renzone,Alessandro Pozzebon,Ada Fort,David Baldo,Marco Mugnaini,Giacomo Peruzzi,Valerio Vignoli

doi:10.21014/acta_imeko.v10i4.1093

Gabriele Di Renzone, Alessandro Pozzebon + Show 5 more

Open Access

https://doi.org/10.21014/acta_imeko.v10i4.1093

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Journal: ACTA IMEKO	Publication Date: Dec 30, 2021
Citations: 1	License type: cc-by

Affiliation: University of Siena, University of Padua

Abstract

<div class="page" title="Page 1"><div class="section"><div class="layoutArea"><div class="column"><p class="Abstract">In this article, the availability and reliability of a remote video monitoring system for offshore sea farming plants are studied and tested in laboratory. The scope of the system is to ensure a video surveillance infrastructure so to supervise breeding cages along with the fish inside them, in order to contrast undesired phenomena like fish poaching as well as cages damages. The system is installed on a cage floating structure: it is mainly composed of an IP camera that is controlled by a Raspberry Pi Zero which is the core of the system. Images are streamed thanks to a 3G/4G dongle, while the overall system is powered via two photovoltaic panels charging a backup battery. Simulations are carried out considering two seasonal functioning periods (i.e., winter and summer): each of them is characterised by temperature trends defined according to the average temperatures of the system deployment site, 8 km offshore the city of Piombino, Italy. In order to optimise power consumption without hindering application scenario requirements, the system operates according to a duty cycle of 2 minutes out of 15 (i.e., 8 minutes of operation per hour). The performances of the system are then tested in laboratory exploiting a climatic chamber so to simulate different environmental conditions: variations on image quality are then analysed in order to identify possible dependencies on critical situations related to specific temperature and relative humidity values and to the presence of salt in the air.</p></div></div></div></div>

Highlights

Fish farming has undergone a massive growth for years mainly owing to various causes
The performances of the system are tested in laboratory exploiting a climatic chamber so to simulate different environmental conditions: variations on image quality are analysed in order to identify possible dependencies on critical situations related to specific temperature and relative humidity values and to the presence of salt in the air
Tests aimed at assessing the video surveillance monitoring system performances, under different environmental conditions, from the point of view of two different benchmarks: picture acquisition time and picture quality

Summary

Introduction

Fish farming has undergone a massive growth for years mainly owing to various causes. Bred seafood could take part within the fight against world hunger without entailing an increase in costs, proving to be a cheap and valuable alternative for global food supply. Foresees that 62 % of fish for human consumption will be produced via aquaculture by that year. The Food and Agriculture Organization (FAO) foretold a hopeful situation presuming an aquaculture production expansion up to 58% by 2022 [2]. Concerning Europe, a future discord among fish demand and supply was guessed [3], fostering fish farming may turn to be an advisable initiative. In Italy aquaculture includes more than 800 companies, and most of them are situated in the Mediterranean Sea, where more than 5000 plants are located

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