JACIII Vol.26 No.5 pp. 851-858
doi: 10.20965/jaciii.2022.p0851


Low-Cost Underwater Camera: Design and Development

Elmer P. Dadios*,**,†, Vincent Jan Almero***, Ronnie S. Concepcion II*,**, Ryan Rhay P. Vicerra*,**, Argel A. Bandala**,***, and Edwin Sybingco**,***

*Department of Manufacturing Engineering and Management, De La Salle University (DLSU)
2401 Taft Avenue, Malate, Manila 1004, Philippines

**Center for Engineering and Sustainability Development Research, De La Salle University (DLSU)
2401 Taft Avenue, Malate, Manila 1004, Philippines

***Department of Electronics and Computer Engineering, De La Salle University (DLSU)
2401 Taft Avenue, Malate, Manila 1004, Philippines

Corresponding author

May 5, 2022
July 15, 2022
September 20, 2022
additive manufacturing, computational intelligence, fish monitoring, underwater camera
Low-Cost Underwater Camera: Design and Development

Exploded view of RPi-based underwater camera

The understanding of vision-based data acquisition and processing aids in developing predictive frameworks and decision support systems for efficient aquaculture monitoring and management. However, this emerging field is confronted by a lack of high-quality underwater visual data, whether from public or local setups and high cost of development. In this regard, an underwater camera that captures underwater images from an inland freshwater aquaculture setup was proposed. The components of the underwater camera system are primarily based on Raspberry Pi, an open-source computing platform. The underwater camera continuously provides a real-time video streaming link of underwater scenes, and the local processor periodically acquires and stores data from this link in the form of images. These data are stored locally and remotely. Based on the results of the developed low-cost underwater camera, it captures and differentiate fish region to its background before and after flushing as influenced by turbidity. Hence, the developed camera can be used for both aquarium and inland aquaculture pond setup for fish monitoring.

Cite this article as:
E. Dadios, V. Almero, R. II, R. Vicerra, A. Bandala, and E. Sybingco, “Low-Cost Underwater Camera: Design and Development,” J. Adv. Comput. Intell. Intell. Inform., Vol.26, No.5, pp. 851-858, 2022.
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Last updated on Sep. 27, 2022