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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    Titel :

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




    Erscheinungsdatum :

    01.10.2022


    Format / Umfang :

    1469868 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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