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

A. N. Handayani, Ferina Ayu Pusparani, D. Lestari, I. M. Wirawan, Osamu Fukuda, Aqil Aqthobirrobbany
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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.
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基于图像处理的海上巡逻区域机器船原型系统
加强海上巡逻,加强国家边境安全,这一年表现出许多利益。海上巡逻对于提高海事意识和调查印度尼西亚广阔海域的情况至关重要。船舶探测和识别是海上巡逻处理海上交通、海上边界活动和非法渔业的必要条件。正因为如此,与自动水面车辆(如机器人船)相结合的目标检测是用于海上巡逻的一种有利方法。机器人船使用Jetson Nano处理的目标检测算法来确定其导航。通过初步实验验证了该方法能否实现地面机器人对目标的实时识别和对周边区域的实时巡逻。
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