Abstract: The rapid advancement of an autonomous surveillance boat designed to enhance port security and management through artificial intelligence vessel monitoring. The project presents a cost-effective solution for maritime vessel tracking and reporting by introducing an autonomous boat equipped boat equipped with Lidar/Ultrasonic Sensor for obstacle detection. The boat efficiently classifies diverse vessels within the port. Complementing this, an Optical Character Recognition (OCR) system identifies hull numbers, cross verifying their presence in the port, and consolidates all patient data on a web server. This holistic approach addresses the challenges of monitoring vessel activities, detecting encroachments, and managing information pertaining to violators within port limits, offering a streamlined and technologically.
Keywords: Lidar / Ultrasonic Sensor, ESP3266, Relay sensor, DHT11 sensor.
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DOI:
10.17148/IJARCCE.2025.141237
[1] Prof. Geetha B, Sneha R, Sowmya C, Vashika CP, Manasa K, "AI-Enhanced Maritime Management: Integrating Lidar, Yolo and OCR for boat Surveillance," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.141237
