AI-INTEGRATED AUTONOMOUS WATER SURVEILLANCE VESSEL

Dr. M. Varatha Vijayan*, L. Joseph Andrews, N. Azhaguvel, P. Jeneson Samuel, D. Immanuel Daniel

ABSTRACT

Maritime rescue operations during cyclones and rough sea conditions involve high risk and delayed response. Traditional surveillance methods rely heavily on manual patrol boats and human monitoring. This paper proposes an AI-Integrated Autonomous Water Surveillance Vessel designed for smart coastal monitoring and emergency rescue support. The system integrates an AI-enabled camera module for real-time human detection and a wireless communication system to transmit alerts to a control room. Upon detecting human presence, the system activates an Alexa-based voice alert mechanism to notify authorities instantly. Experimental prototype validation demonstrates effective remote navigation, stable water surface operation, and responsive alert generation. The proposed framework enhances maritime safety while reducing human operational risk.The proposed system demonstrates the practical feasibility of integrating AI perception and IoT-based alert automation in maritime rescue applications.

Keywords:

Autonomous Surface Vessel, Maritime Surveillance, AI Camera, Human Detection, IoT Alert System, Alexa Integration, Coastal Rescue

Full Text Article