https://djelatnici.fesb.unist.hr/~toperkov/tags/fesb-lead/FESB LeadHugoBlox Kit (https://hugoblox.com)en-usThu, 01 Jan 2026 00:00:00 +0000https://djelatnici.fesb.unist.hr/~toperkov/media/sharing.jpghttps://djelatnici.fesb.unist.hr/~toperkov/tags/fesb-lead/https://djelatnici.fesb.unist.hr/~toperkov/projects/smartrideai/Thu, 01 Jan 2026 00:00:00 +0000https://djelatnici.fesb.unist.hr/~toperkov/projects/smartrideai/<ul> <li><strong>Period:</strong> January 2026 – January 2029</li> <li><strong>My role:</strong> FESB lead (FESB is a partner institution)</li> <li><strong>Funding:</strong> European Union, PK.1.1.12.0204</li> <li><strong>Team:</strong> <strong>Toni Perković</strong> (FESB lead), </li> <li><strong>Record:</strong> </li> </ul> <h2 id="about-the-project">About the project</h2> <p>The SmartRideAI project develops a system for safer and more sustainable mobility by locally integrating video and sensor data to provide fast, explainable alerts. The project covers three products: an edge device and application, a SaaS platform, and B2B analytics + API solutions. Target groups include drivers, micromobility users, and B2B partners. Expected outcomes include prototypes, patents/trademarks, publications, technology transfer, and revenue growth.</p> <p><em>Project description from the CroRIS record.</em></p>https://djelatnici.fesb.unist.hr/~toperkov/projects/seamate/Sun, 01 Dec 2024 00:00:00 +0000https://djelatnici.fesb.unist.hr/~toperkov/projects/seamate/<ul> <li><strong>Period:</strong> December 2024 – November 2027</li> <li><strong>My role:</strong> FESB lead (FESB is a partner institution)</li> <li><strong>Funding:</strong> European Union, Integrated Territorial Programme 2021 – 2027, IP.1.1.03.0098</li> <li><strong>Team:</strong> <strong>Toni Perković</strong> (FESB lead), , </li> <li><strong>Record:</strong> </li> </ul> <h2 id="about-the-project">About the project</h2> <p>The SeaMate project explores the potential of applying artificial intelligence (AI) and the Internet of Things (IoT) to improve safety, efficiency and sustainability in smart nautical systems management, combining large language models (LLM), AI and IoT analytics to optimize the user experience in nautical tourism and improve vessel management.</p> <p>The project focuses on the development of a virtual assistant for sailors, based on LLM and AI systems that enable real-time data analysis, personalized recommendations and automated responses via augmented reality (XR). The assistant provides information on safety procedures, weather conditions and technical support, which significantly contributes to the optimization of navigation and the reduction of risks in maritime traffic.</p> <p>In addition, an IoT sensor network system is being investigated that includes monitoring of environmental conditions, energy consumption and vessel performance. The use of LPWAN technologies, satellite radio communications in combination with meteorological sensors, universal radio devices will enable real-time data collection and analysis. The data is processed using neural networks for advanced analytics, enabling predictive maintenance and optimization of ship trajectories.</p> <p>This research contributes to the development of smart IoT solutions applicable in various fields, from maritime transport to emergency medical care. Through the synergy of AI, IoT and LLM technologies, the project offers an innovative approach to digitization and optimization of the nautical sector, increasing its competitiveness and environmental sustainability.</p> <p><em>Project description from the CroRIS record.</em></p>