Development of an underwater camera system for inland freshwater aquaculture

• Main Author: Almero, Vincent Jan D.
• Format: text
• Language: English
• Published: Animo Repository 2022
• Subjects: Underwater cameras—Design and construction; Image processing—Equipment and supplies; Fishes—Monitoring; Electrical and Computer Engineering; Systems and Communications
• Online Access: https://animorepository.dlsu.edu.ph/etdm_ece/16; https://animorepository.dlsu.edu.ph/context/etdm_ece/article/1016/viewcontent/Development_of_an_Underwater_Camera_System_for_Inland_Freshwater_Redacted.pdf; https://animorepository.dlsu.edu.ph/context/etdm_ece/article/1016/filename/0/type/additional/viewcontent/2022_Almero_PrelimaryPages.pdf; https://animorepository.dlsu.edu.ph/context/etdm_ece/article/1016/filename/1/type/additional/viewcontent/2022_Almero_PagesWithSignatures.pdf; https://animorepository.dlsu.edu.ph/context/etdm_ece/article/1016/filename/2/type/additional/viewcontent/2022_Almero_Chapter1.pdf; https://animorepository.dlsu.edu.ph/context/etdm_ece/article/1016/filename/3/type/additional/viewcontent/2022_Almero_Chapter2.pdf; https://animorepository.dlsu.edu.ph/context/etdm_ece/article/1016/filename/4/type/additional/viewcontent/2022_Almero_Chapter3.pdf; https://animorepository.dlsu.edu.ph/context/etdm_ece/article/1016/filename/5/type/additional/viewcontent/2022_Almero_Chapter4.pdf; https://animorepository.dlsu.edu.ph/context/etdm_ece/article/1016/filename/6/type/additional/viewcontent/2022_Almero_Chapter5.pdf; https://animorepository.dlsu.edu.ph/context/etdm_ece/article/1016/filename/7/type/additional/viewcontent/2022_Almero_Chapter6.pdf; https://animorepository.dlsu.edu.ph/context/etdm_ece/article/1016/filename/8/type/additional/viewcontent/2022_Almero_References.pdf; https://animorepository.dlsu.edu.ph/context/etdm_ece/article/1016/filename/9/type/additional/viewcontent/2022_Almero_Appendices.pdf; https://animorepository.dlsu.edu.ph/context/etdm_ece/article/1016/filename/10/type/additional/viewcontent/2022_Almero_SourceCodes.zip
• Institution: De La Salle University

Computer vision and image processing technologies are applied towards aquatic research to understand fish and its interaction with other fishes and their environment. The understanding of vision-based data acquisition and processing aids in developing predictive frameworks and decision support syste...