Development of Ship Detection Using OPENCV YOLO Method on Unmanned Prototype Boat for Monitoring National Sea

2022 7th International Workshop on Big Data and Information Security (IWBIS) Pub Date : 2022-10-01 DOI:10.1109/IWBIS56557.2022.9924891

A. P. W. Aldryani, Hendrana Tjahjadi, I. A. Dahlan, I. Kholis, Reza Istoni, Angelita Friskilla Bangun, Anry Christiano Tambunan, Jhon Kristel Sabathino Pigome

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Abstract

Indonesia is a vast archipelago and a large sea area. Quoting from the Preamble of the 1945 Constitution states that the purpose of the Government of the Republic of Indonesia is to protect the entire Indonesian nation and its homeland. Therefore, defensive aspects need to be taken into special account. The Sea Defense System requires an agile unmanned mini-sea boat maneuvering capability which is able to secure the sea area according to its function and detect foreign ships. Indonesia needs to be more vigilant and detect its underwater defenses so that intruders do not attempt to violate the sovereignty of the Republic of Indonesia. This research is intended as a solution by designing a mini marine prototype to protect and strengthen Indonesian sea border. The system is developed using OpenCV and YOLO (You Only Look Once) method to detect ship. It is developed on an laptop which run on Linux. This research yields the results of the ship detection system by percentage of precision confidence level range 54–96% and several factors of undetectable condition, namely camouflaged ship, half body of ship image, and sunset condition.

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基于OPENCV YOLO方法的国海无人样机船船舶检测研究

印度尼西亚是一个幅员辽阔的群岛和广阔的海域。引用1945年《宪法》的序言指出，印度尼西亚共和国政府的宗旨是保护整个印度尼西亚民族及其家园。因此，防御方面需要特别考虑。海上防御系统需要一种灵活的无人小型海上艇机动能力，能够根据其功能保护该海域并探测外国船只。印度尼西亚需要提高警惕，探测其水下防御，使入侵者不会试图侵犯印度尼西亚共和国的主权。本研究旨在通过设计一个小型海洋原型来保护和加强印度尼西亚的海上边界。该系统采用OpenCV和YOLO (You Only Look Once)方法对船舶进行检测。它是在运行Linux的笔记本电脑上开发的。本研究以精度置信度百分比在54-96%的范围内，结合伪装船舶、半船身图像、日落条件等几个不可检测条件，得出船舶检测系统的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 7th International Workshop on Big Data and Information Security (IWBIS)

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