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Lookup NU author(s): Dr Maryam HaroutunianORCiD, Dr David Trodden
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
There is a requirement for some marine vessels to know the exact condition of the seaway in which they are operating. Currently this is accomplished with the usage of wave radars, which are expensive and sometimes not viable for smaller vessels that can be more greatly affected by waves. This research utilizes image processing produced in the Newcastle University’s Hydrodynamics Laboratory with artificial neural networks to analyse current and future wave behaviour. The image processing is completed using two inexpensive digital cameras to reproduce waveforms over a certain time period. The artificial neural networks are tested over computer generated wave forms and then integrated with the wave forms captured from the digital cameras with analysis of both past, current, and future wave characteristics being analysed. The success of the image processing and neural networks in the laboratory setting provides encouragement for the future success of the project to be completed further with testing on an actual vessel and with an increasing scope of imaging.
Author(s): Doyle C, Lee Y, Haroutunian M, Trodden DG
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 5th International Conference on Advanced Model Measurement Technology for The Maritime Industry (AMT’17)
Year of Conference: 2017
Pages: 299-310
Online publication date: 13/10/2017
Acceptance date: 18/08/2017
Date deposited: 27/11/2017
Publisher: University of Strathclyde
URL: https://www.dropbox.com/s/w2xqqhnsma289d0/AMT17%20Proceedings.pdf?dl=0
