Development of low-cost underwater cameras for remote monitoring of marine ecosystems with ai-based species detection
The low-cost camera, developed by the OBSEA team, is a modular, low-cost underwater camera capable of operating down to 275 m depth. It includes a Raspberry Pi 5, a 64 MP Arducam camera, LED lights and YOLO-based AI software to detect fish. It works connected to the OBSEA or on standalone platforms,...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/452095 |
| Acceso en línea: | https://hdl.handle.net/2117/452095 https://dx.doi.org/10.5821/iwp.2025.24.14017 |
| Access Level: | acceso abierto |
| Palabra clave: | Oceanography -- Research Oceanography -- Equipment and supplies Digital cameras Camera Low-cost Raspberry Pi 5 Arducam Oceanografia -- Investigació Oceanografia -- Aparells i instruments Càmeres fotogràfiques digitals Àrees temàtiques de la UPC::Enginyeria civil::Geologia::Oceanografia Àrees temàtiques de la UPC::Enginyeria electrònica::Instrumentació i mesura Àrees temàtiques de la UPC::So, imatge i multimèdia::Dispositius de so, imatge i multimèdia |
| Sumario: | The low-cost camera, developed by the OBSEA team, is a modular, low-cost underwater camera capable of operating down to 275 m depth. It includes a Raspberry Pi 5, a 64 MP Arducam camera, LED lights and YOLO-based AI software to detect fish. It works connected to the OBSEA or on standalone platforms, adapting its power consumption and photo frequency according to the environment. It is an efficient and affordable solution that facilitates marine monitoring and promotes sustainable conservation. |
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