Deep learning mobile application for detecting and quantifying plastic marine debris.

The massive amount of marine debris generated from land to the marine ecosystem could bring various negative impacts on the flora and fauna that resides there. To properly remove marine debris from the marine ecosystem, the marine debris needs to be identified and measured first so relevant parties can execute the job easily with the right tools and methods. Various studies had been conducted to detect and quantify marine debris using deep learning models and remote sensing devices to capture the debris footage. But most of the studies don't include a platform such as a web or mobile application for executing the developed model. In this paper, a concept mobile application called MarinaWatch is proposed that brings marine debris monitoring through drone detection and quantification using a deep learning model on a single mobile platform with the combination of cloud computing. [ABSTRACT FROM AUTHOR]