Detecting Holes in Fishery Nets using an ROV

This paper presents a methodology that detects holes in the nets of Kefalonia Fisheries S.A., a division of Grupo Profand. The methodology uses Computer Vision and Deep Learning techniques to build an Artificial Intelligence model that is applied directly to the nets using our ROV[1].