Robot Boat Prototype System Based on Image Processing for Maritime Patrol Area

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Anik Nur Handayani, Ferina Ayu Pusparani, Dyah Lestari, I Made Wirawan, Osamu Fukuda, Aqil Aqthobirrobbany

2022 Proceedings - ISMODE 2022: 2nd International Seminar on Machine Learning, Optimization, and Data Science Conference paper Cited by 3 Quartile

Abstract

Enhancing maritime patrol to strengthen state border security has shown numerous interests over the year. Marine patrol is crucial in raising maritime awareness and surveying what is happening in the vast Indonesian sea area. Ship detection and identification are essential for marine patrol dealing with maritime traffic, sea border activity, and illegal fishery. Because of that, object detection integrated with the autonomous surface vehicle, like robot boats, is an advantageous method used in marine patrol. The robot boat used an object detection algorithm processed by Jetson Nano to determine its navigation. Preliminary experiments are conducted to verify if the proposed method can recognize an object and patrol the surrounding area in real-time using the integrated surface robot. © 2022 IEEE.

Affiliations

Universitas Negeri Malang, Department of Electrical Engineering, Malang, Indonesia; Saga University, Department of Information Science, Jepang, Saga, Japan; Universitas Gadjah Mada, Department of Electrical Engineering & Information Technology, Yogyakarta, Indonesia

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