Oil Detection System

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In Folder: Oil Spill Detection

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Oil Detection System

Senior Design Showcase project, Wentworth Institute of Technology, College of Engineering and Computer Science, Department of Electrical and Computer Engineering, 2020

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title: Oil Detection System

creator: Rafael da Luz Barbosa, Sergio Monteiro de Pina

subject: Oil spill, environment, image processing, artificial intelligence

description: Oil spills have negatively affected ocean life have been affected by the mining of oil for years. They are destructive to animals and humans. It destroys the ecosystem and food chain, from plankton to like fish or algae. It is thus necessary to find, stop, and clean up these spills as soon as possible. A reliable method of detecting these spillages is using low orbit satellites, they are expensive, analyze a large area at once and do not have an immediate response time. By time the data is analyzed, the spills might have of grown larger. Time for clean up is crucial, because it can lead to further issues for the environment. This project aims to create an affordable process in the detection of spills that can be easily deployed in a smaller range, automated, and can predict/extrapolate the magnitude of spills. The design is a group of different sensors and cameras that would detect a designated area via a drone/UAV. The UAV will have an embedded AI system which will do the oil recognition while being deployed, and be navigated at the same time, based on spills data.

publisher: The Douglas D. Schumann Library and Learning Commons, Wentworth Institute of Technology

contributor:

date: 2020

type: Poster

format: .pdf

identifier:

source:

language: eng

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rights: https://rightsstatements.org/vocab/InC/1.0/

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