Litcius/Paper detail

Detection of Oil Spill Pollution in Seawater Using Drones: Simulation & Lab-based Experimental Study

Ashraf Saleem, Ahmed Al Maashri, Omer Eldirdiry, Jawhar Ghommam, Hadj Bourdoucen, Amran Al-Kamzari, Ghazi Al-Rawas, Ahmed Chiheb Ammari

20212021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)14 citationsDOI

Abstract

This paper presents a simulation and lab-based experimental study of detecting oil spills in the oceans using drones. The proposed simulation process is the first phase of long-term research that is targeting to limit the oil spill contaminations in Omani coastline. This study presents some methods and tools to detect an oil spill in a prearranged scenario. The methods and tools are tested in simulation and verified in lab-based experiments. Footage of oil spill cases is used to illustrate the process of oil spill detection. In addition, image processing techniques are applied to provide an accurate outline of the spill's perimeter. The results exhibit the effectiveness of using the proposed methods and tools in detecting oil spills.

Topics & Concepts

Oil spillDroneEnvironmental scienceSeawaterPollutionPetroleum engineeringOil pollutionProcess (computing)Marine engineeringComputer scienceEnvironmental engineeringEngineeringGeologyOceanographyOperating systemBiologyGeneticsEcologyOil Spill Detection and MitigationMarine and coastal ecosystemsToxic Organic Pollutants Impact
Detection of Oil Spill Pollution in Seawater Using Drones: Simulation & Lab-based Experimental Study | Litcius