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An FPGA-based system for video processing to detect holes in aquaculture nets

Zacheilas Theofilos, Moirogiorgou Konstantia, Sotiriadis Evripidis, Papandroulakis Nikos, Zervakis Michail, Dollas Apostolos

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URIhttp://purl.tuc.gr/dl/dias/C7E3F987-584F-479E-B445-F0619C559B14-
Identifierhttps://doi.org/10.1109/BIBE52308.2021.9635351-
Identifierhttps://ieeexplore.ieee.org/document/9635351-
Languageen-
Extent6 pagesen
TitleAn FPGA-based system for video processing to detect holes in aquaculture netsen
CreatorZacheilas Theofilosen
CreatorΖαχειλας Θεοφιλοςel
CreatorMoirogiorgou Konstantiaen
CreatorΜοιρογιωργου Κωνσταντιαel
CreatorSotiriadis Evripidisen
CreatorΣωτηριαδης Ευριπιδηςel
CreatorPapandroulakis Nikosen
CreatorZervakis Michailen
CreatorΖερβακης Μιχαηλel
CreatorDollas Apostolosen
CreatorΔολλας Αποστολοςel
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryAquaculture 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.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2023-05-12-
Date of Publication2021-
SubjectAquaculture cage netsen
SubjectHole detectionen
SubjectEmbedded systemen
SubjectFPGAen
SubjectGuided filteren
SubjectHaze removalen
SubjectEdge detectionen
SubjectConnected component labelingen
SubjectMorphological operationsen
SubjectMATLABen
Bibliographic CitationT. Zacheilas, K. Moirogiorgou, N. Papandroulakis, E. Sotiriades, M. Zervakis and A. Dollas, "An FPGA-based system for video processing to detect holes in aquaculture nets," presented at the 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE), Kragujevac, Serbia, 2021, doi: 10.1109/BIBE52308.2021.9635351.en

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