Damage detection in fish farming nets using video analysis.

Today, there is great focus on using new technology to automate the aquaculture industry. One of the companies that contributes to this is Stranda Prolog AS, who has submitted this bachelor thesis. Stranda Prolog has developed a remote-controlled underwater vehicle named Manta net-cleaner to clean the net in fish-cages for the aquaculture industry. The Manta Net Cleaner also delivers video streaming that shows the net.
The purpose and goal of this bachelor thesis is to create a computer software that can analyse video from the Manta net-cleaner to look for damage in the net. Such a software must be user-friendly and be able to present analysis results to the user in a good way. Image processing is used to perform the analysis. This report presents theory that is the basis for building the desired solution, and describes how the group has proceeded to develop the final solution using Scrum as development methodology.
The result of this project is a complete computer software for analysing video files from the Manta net-cleaner. The software is user-friendly and offers functionality that allows the user to customize the analysis to different videos. The program presents the results in a graphical user interface, in addition, it offers functionality to generate a PDF report.
The prepared solution meets the goals that formed the basis for the project.