| Title: | OS5-11 Computer Vision-Based Monitoring of Feeding Consistency in Aquaculture |
|---|---|
| Publication: | ICAROB2026 |
| Volume: | 31 |
| Pages: | 184-189 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2026.OS5-11 |
| Author(s): | Abdullah Alraee, Mohammad Albaroudi, Hussam Alraie, Inniyaka R. Irmiya, Dominic B. Solpico, Raji Alahmad, Kazuo Ishii |
| Publication Date: | January 29, 2026 |
| Keywords: | Aquaculture, automatic feeding, computer vision, fish behavior, real-time monitoring |
| Abstract: | Automatic feeding systems in aquaculture are vital for feed optimization and reducing labor. However, operational reliability is critical, as malfunctions cause significant economic loss and compromise stock health. This study proposed a computer vision system to continuously monitor feeder performance by analyzing real-time fish movement patterns. Three behavioral metrics were analyzed: fish recognition to detect and localize fish, fish density to describe spatial aggregation, and group disorder to represent irregular collective movement. The findings reveal that each successful feeding produces a clear, repeatable behavioral signature, such as a simultaneous spike in fish density and group disorder as fish actively respond to feed. This signature serves as an early warning system for confirming effective feeding. The absence of this signature indicates abnormal feeding conditions, including feeder malfunction, insufficient feed release, or reduced fish responsiveness. Collectively, these capabilities enable a robust monitoring strategy. Overall, this monitoring approach ensures reliable automation, enhances management efficiency, and protects both profitability and stock health. |
| PDF File: | https://alife-robotics.co.jp/members2026/icarob/data/html/data/OS/OS5-11.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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