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 Ammari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021 - Proceedings
EditorsSatyajit Chakrabarti, Rajashree Paul, Bob Gill, Malay Gangopadhyay, Sanghamitra Poddar
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665440677
DOIs
Publication statusPublished - Apr 21 2021
Event2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021 - Toronto, Canada
Duration: Apr 21 2021Apr 24 2021

Publication series

Name2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021 - Proceedings

Conference

Conference2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021
Country/TerritoryCanada
CityToronto
Period4/21/214/24/21

Keywords

  • Contamination
  • Detection
  • Image processing
  • Lab-based experiment
  • Oil spill
  • Simulation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Instrumentation

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