Acta Marisiensis.
Seria Technologica



ISSN 2668-4217
ISSN-L 2668-4217
(Online)


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Anul 2024
Volum 21 (XXXVIII), nr 1
Volum 21 (XXXVIII), nr 2

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Volum 20 (XXXVII), nr 1
Volum 20 (XXXVII), nr 2

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Volum 19 (XXXVI), nr 1
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2022, Volume 19 (XXXVI), no 1

Underwater Image Detection for Cleaning Purposes; Techniques Used for Detection Based on Machine Learning

Author(s):
Ornelta GOXHAJ, Nilay Gul YILMAZ, Istanbul Technical University, Turkey
Lida KOUHALVANDI, Dogus University, Turkey
Ibraheem SHAYEA, Istanbul Technical University, Turkey
Azızul AZIZAN, Universiti Teknologi, Malaysia

Abstract:
Serious problems are on the rise, especially in these current times. The world is facing too many environmental threats. Water pollution is one of the main issues threatening the future. In some parts of the world, the water’s surface is covered by mucilage, which is dangerous for both aquatic animals and humans. This article firstly defines mucilage and highlights the reasons for its production. Afterwards to tackle water pollution, cleaning systems using image detection with the help of machine learning supervised classification algorithms are highlighted. This paper showcases the machine learning and classification used as well as the best solution for convolutional neural network and regionbased convolutional neural network methods.

DOI: https://doi.org/10.2478/amset-2022-0006

Pages: 28-35

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Update: 18-Dec-2024 © Published by University Press