Advanced International Journal for Research

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Artificial Intelligence–Based Zone Alert and Surveillance System for Autonomous Navigation of Fishermen’s Boats

Author(s) Ms. SUGASHINEE A S, Dr. ANANDKUMAR N V, Ms. SHYAMALA R
Country India
Abstract Coastal, peninsula, and island countries establish strict maritime boundary lines for preserving their sovereignty rights and marine resources. Smallscale fishermen inadvertently breach these invisible maritime boundary lines due to inadequate navigation awareness, lack of proper communication systems, and lack of real-time advice. These have resulted in fishermen’s boats being confiscated, fishermen being arrested, and in some cases, even fishermen losing their lives due to hostile confrontations by adjacent naval forces. This paper introduces an Artificial Intelligence-Based Zone Alert and Surveillance System to improve the safety and unmanned navigation of fishermen’s boats. The proposed system uses GPS, AIS, radar, sonar, cameras, and environment sensors along with artificial intelligence-based surveillance systems, sensor fusion, and unmanned path planning algorithms. The proposed solution delivers real-time border alerts, intelligent object detection, and autonomous route correction capabilities to ensure that fishermen’s boats do not breach maritime boundary lines and remain safe from possible collisions. The simulation results for semi-realistic maritime scenarios have shown that the solution delivers accurate zone detection, accurate object identification, and stable autonomous navigation capabilities, thereby ensuring that the solution has enormous potential for improving fishermen’s maritime safety.
Keywords Maritime Safety, Fishermen Protection, Artificial Intelligence, Zone Alert System, Autonomous Navigation, Sensor Fusion, Geofencing
Field Engineering
Published In Volume 7, Issue 1, January-February 2026
Published On 2026-02-03
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E-ISSN 3048-7641
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