1. AI-RCAS: A Real-Time Artificial Intelligence Analysis System for Sustainable Fisheries Management.
- Author
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Kim, Seung-Gyu, Lee, Sang-Hyun, and Im, Tae-Ho
- Abstract
This study proposes an Artificial Intelligence-based Real-time Catch Analysis System (AI-RCAS) for sustainable fisheries management. The AI-RCAS, implemented on a Jetson board, consists of fish recognition using YOLOv10, tracking with a ByteTrack algorithm optimized for marine environments, and a counting module. Experiments in actual fishing environments showed significant improvements, with species recognition rates of 74–81%. The system supports the efficient operation of the total allowable catch (TAC) system through real-time analysis, addressing the limitations of the existing Electronic Monitoring (EM) systems. However, challenges remain, including object-tracking difficulties and performance issues in unstable marine environments. Future research should focus on optimizing the fishing process, improving video processing, and expanding the dataset for better generalization. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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