An FPGA-based system for video processing to detect holes in aquaculture netsAn FPGA-based system for video processing to detect holes in aquaculture nets Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2023-05-122021enThis research has been co-financed by the European Union and Greek national funds through the Operational Program Maritime & Fisheries 2014-2020, Hellenic Republic - Ministry of Rural Development and Food & European Union - European Maritime and Fisheries Fund (project code: 5010858, Application of Smart Systems for enhanced fish management and welfare in cage aquaculture).Aquaculture faces the issue of net integrity on cage farming. Holes on the net need to be detected but as yet the process is not fully automated. This work is a second-generation embedded system to detect in real time holes in aquaculture nets from a video input. It extends previous results by processing video rather than still images, under lighting variation, haze, and different size of holes along each frame. The modeling and simulation of the new algorithm has been done in MATLAB; the system has been designed and implemented on a Field Programmable Gate Array (FPGA) - based platform. The proposed system has substantially better performance vs. software at a much lower energy consumption.http://creativecommons.org/licenses/by/4.0/2021 IEEE 21st International Conference on Bioinformatics and Bioengineering Zacheilas Theofilos Ζαχειλας Θεοφιλος Moirogiorgou Konstantia Μοιρογιωργου Κωνσταντια Sotiriadis Evripidis Σωτηριαδης Ευριπιδης Papandroulakis Nikos Zervakis Michail Ζερβακης Μιχαηλ Dollas Apostolos Δολλας Αποστολος Institute of Electrical and Electronics Engineers Aquaculture cage nets Hole detection Embedded system FPGA Guided filter Haze removal Edge detection Connected component labeling Morphological operations MATLAB