EventsThe 3rd International Electronic Conference on Machines and Applications
Published
This submission belongs to the session S6. Mechatronics/Electromechatronics of the event The 3rd International Electronic Conference on Machines and Applications
Published date
07 May, 2026
Academic Editor
author-avatarMarco Ceccarelli
Citation
Sonia Rozbiewska, Mechatronic Systems for Countering Maritime Piracy: An Analysis of Automated Threat Detection Technologies, in Proceedings of The 3rd International Electronic Conference on Machines and Applications, 12 May–14 May 2026, MDPI: Basel, Switzerland
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Mechatronic Systems for Countering Maritime Piracy: An Analysis of Automated Threat Detection Technologies

1. Doctoral School , Maritime University of Szczecin, Szczecin, 70-500 , Poland, Poland
Abstract

Maritime piracy continues to pose a persistent threat to global shipping routes, offshore assets, and international trade, particularly in regions characterized by limited surveillance infrastructure and political instability. Conventional anti-piracy strategies primarily depend on manual watchkeeping, crew training, and reactive response procedures, which may be insufficient in rapidly evolving threat scenarios. This paper investigates the role of advanced mechatronic systems in enhancing proactive protection through automated detection of piracy-related risks. This study presents a comprehensive analysis of current technologies that combine multisensory data acquisition, including radar, electro-optical sensors, acoustic monitoring, and satellite-based positioning, with intelligent data processing techniques. Special attention is given to the integration of machine learning algorithms and sensor fusion methods that enable real-time identification of suspicious vessel behavior and anomalous movement patterns.

A conceptual architecture of an integrated mechatronic threat detection system is proposed, focusing on modular design, system reliability, and compatibility with existing onboard machinery and control infrastructures. This paper evaluates technical challenges associated with operation in harsh marine environments, such as signal interference, environmental noise, system robustness, and cybersecurity vulnerabilities. Strategies for minimizing false alarms and ensuring dependable performance under varying sea and weather conditions are discussed. Additionally, the potential use of unmanned aerial and surface vehicles as extensions of onboard detection systems is examined as a means of expanding situational awareness.

Our findings suggest that automated mechatronic detection technologies can significantly improve early warning capabilities, support faster decision-making, and reduce the cognitive workload of ship crews. By bridging principles of mechatronics, automation, and maritime security, this research highlights the importance of interdisciplinary engineering solutions in addressing contemporary safety challenges. The proposed framework contributes to the development of smarter and more resilient maritime protection systems capable of adapting to evolving piracy threats.

Keywords
maritime piracy
mechatronic systems
automated threat detection
sensor fusion
maritime security
unmanned systems
machine learning
situational awareness
onboard monitoring systems
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