Underwater Image Detection for Cleaning Purposes; Techniques Used for Detection Based on Machine Learning
, , , et
19 mai 2022
À propos de cet article
Publié en ligne: 19 mai 2022
Pages: 28 - 35
DOI: https://doi.org/10.2478/amset-2022-0006
Mots clés
© 2022 Ornelta Goxhaj et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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 region-based convolutional neural network methods.