CleanWater: Detection of Aquatic Waste with Satellite Images and Drones with Artificial Intelligence
Keywords:
sustainability, deep neural network, computer visionAbstract
Water body pollution is a growing problem, with 11 million tons of waste dumped into the oceans each year. In Argentina, it is estimated that 70% of the waste along the Buenos Aires coasts is plastic and affects at least 32 species. This work proposes a monitoring system that combines the analysis of satellite images and images captured by drones, to identify waste accumulation. It uses Machine Learning, Classification, and Computer Vision techniques, adapting a ResNet-50 for the analysis of satellite images available from open data sources, and creating a model based on YOLOv8 for images collected using a drone. Results are presented in real time on Tableau and deployed on AWS.
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Copyright (c) 2025 Augusto Javier Saporiti, Rubén Alejandro Casas, Pablo Ezequiel Inchausti
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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