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EN
The Internet of Things (IoT) is undergoing rapid expansion, transforming industries and everyday life through interconnected devices and data-driven decision-making. As IoT adoption accelerates, ensuring its accessibility and usability for non-technical users becomes increasingly critical. Simplified interaction with IoT systems facilitates broader adoption and maximizes their potential to improve safety, efficiency, and convenience. This aspect is particularly crucial in the domain of coastal safety, where IoT technologies can play a pivotal role. By integrating IoT into a smart buoy system, real-time data on water conditions, weather patterns, and swimmer safety can be continuously monitored and seamlessly communicated to lifeguards and beach visitors. The effectiveness of such a system relies on an intuitive and user-friendly design, enabling individuals without technical expertise to engage with its functionalities effortlessly. IoT serves as the foundation of this innovation, providing seamless connectivity, data sharing, and automation. Prioritizing IoT integration in critical safety solutions such as smart buoys underscores its potential to enhance life-saving measures while contributing to the development of more intelligent, secure, and interconnected environment.
EN
Drowning is the third leading cause of unintentional injury-related deaths, accounting for 9% of all injury fatalities, with over 300,250 cases reported annually by the World Health Organization (WHO) in 2021. Addressing this issue necessitates the implementation of affordable and accessible safety measures at local beaches. This paper presents an innovative, cost-effective automated system designed to improve beach safety through real-time environmental monitoring. The system consists of three primary subsystems: sensors, information processing, and action mechanisms. At its core are smart buoys, equipped with sensors and communication modules, which transmit data to an onshore station and a cloud-based platform. This platform processes, stores, and monitors the data against predefined thresholds, generating alerts when necessary. A web application provides real-time data access, enabling fault monitoring, system operation forecasting, and performance optimization.
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