School of Engineering


Non-Invasive Fouling Recognition System

The GEF award will be used to partially support the costs of NUIS working in partnership with NTU on a collaborative research project to develop a fouling recognition system for non-invasive assessments of fouling.

Major water quality concerns include mainly ballast water discharge, leaking of toxic substances from ships, and marine fouling on ship’s hull. Accumulation of marine fouling on ship’s hull in warm waters produces particularly negative effect on speed and fuel consumption. As a result, this natural phenomenon brings up the following issues:

  1. loss of speed and increase of time during ballast passages;
  2. costs and delays associated with necessity of hull cleaning.

In this project, we aim to develop a fouling recognition system for non-invasive assessment of fouling. Novel software algorithm has the capability to automate fouling and surface characterization (i.e. corrosion, average fouling growth rate, types of barnacles) using the captured images of real time fouling condition.