Project

Understanding the marine environment is a key component to a more sustainable Earth. Technologies to automate data collection and analysis of the marine environment are necessary. Underwater cameras and AI (here in the form of computer vision algorithms) are predicted to play major roles in this regard. This research project takes its starting point in a recently established underwater camera setup that captures video in various conditions. The project aim is an underwater computer vision system that can estimate the visibility, prune the massive amounts of video so only images containing marine organism remains, and finally classify the marine organisms.

WaveLab is a computer program for data collection and analysis in a wave laboratory. The focus is on the analysis of both long and short crested waves.

The project concerns consultancy in connection with the construction of a new wave laboratory in Naples, Italy. The Department of Water, Soil and Environmental Engineering comments on the design and supplies software for data analysis and control of the wave machines. The project has been carried out for the 2nd University of Naples, Italy. (Peter Frigaard, Palle Meinert, Thomas Lykke Andersen)

The primary goal of the project is to develop and make available data from Dansk Søfartstidende. The project has a particular focus on ship dispatches published in Dansk Søfartstidende in the years 1893-1962, and involves scanning, automated analysis and interpretation of data regarding Danish ships on arrivals and departures as well as other incidents for which notes are available. In addition to making the resulting data available so that they can be integrated into standard tools for representing digitized data, the plan is to develop a dedicated application that supports searches aimed at special studies based on, for example, time, place and context.

The project's results in the form of a database and dedicated search application primarily provide new opportunities for research, among other things, by virtue of the fact that individual ships or a shipping company's entire fleet can be followed and analyzed in time and space. Furthermore, new uses of maps and data visualizations in the dissemination of Danish maritime history are enabled. Finally, the project will make the complete publications of the Danish Maritime Journal available to the general public in a clear and easily accessible form through the M/S Maritime Museum.

Industrial PhD project at Roskilde University together with with SeaLytix on the development of stowage algorithms and AI for energy efficient liner shipping.