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Research Paper | Information Sensing and Intelligent Control | Volume 15 Issue 5, May 2026 | Pages: 1876 - 1881 | Sri Lanka
Real-Time Marine Fish Identification System Using IoT Smart Buoys, Edge Deep Learning (DL), and Mobile Heatmap Visualization
Abstract: Monitoring and managing fish stocks require continuous environmental monitoring of the marine environment for the sustainable management of fisheries, for the protection of marine biodiversity, and for the monitoring of ecosystems. This paper proposes a conceptual framework for real-time identification and monitoring of marine fish through an integrated system of IoT-enabled smart buoys, edge-deep learning, environmental sensors, weather and oceanographic APIs, cloud services, and mobile heatmap visualization. The proposed architecture is based on the integration of underwater imaging systems, environmental sensors, embedded AI devices, wireless communication technologies, and geospatial visualization tools to enable near real-time monitoring of marine ecosystems. The latest advances in fish detection technologies, including convolutional neural networks (CNNs), YOLO-based architectures, EfficientDet, and lightweight edge-AI models, are reviewed and used to inform design decisions about the system. The paper also discusses the primary hardware requirements for the system, software architecture, communication technologies, power management, and features of mobile applications. Additionally, challenges with respect to deployment (such as underwater visibility limitations, limited connectivity options, biofouling problems, energy efficiency, and maintenance) were considered in the analysis. A feasibility assessment was conducted to determine how existing technologies could be integrated into a scalable, smart marine monitoring system, which is something that should be developed through prototype development, controlled field experimentation, and validation of longer-term deployment of existing technology for assessing the operational performance and reliability of the technology in the real world.
Keywords: Marine Fish Detection, Internet of Things, Edge Deep Learning, Smart Buoys, Underwater Object Detection, Marine Monitoring, Geospatial Visualization
How to Cite?: Sahabdeen Aysha Asra, R. D. Madushan Prabod Kumara, "Real-Time Marine Fish Identification System Using IoT Smart Buoys, Edge Deep Learning (DL), and Mobile Heatmap Visualization", Volume 15 Issue 5, May 2026, International Journal of Science and Research (IJSR), Pages: 1876-1881, https://www.ijsr.net/getabstract.php?paperid=SR26526194009, DOI: https://dx.dx.doi.org/10.21275/SR26526194009