RANCANG BANGUN SISTEM DETEKSI PERMUKAAN KOTAK PADA SIMULATOR ROV (REMOTELY OPERTED VEHICLE)

SUWITO, HERU and Zarkasi, Ahmad (2024) RANCANG BANGUN SISTEM DETEKSI PERMUKAAN KOTAK PADA SIMULATOR ROV (REMOTELY OPERTED VEHICLE). Diploma thesis, Sriwijaya University.

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Abstract

In recent decades, the use of Remotely Operated Vehicles (ROVs) has significantly increased in various underwater applications, such as exploration, structural inspection, and rescue operations. One of the main challenges is the ROV's ability to detect and map objects in its surroundings. This project aims to develop a relevant ROV simulator for detecting environmental and industrial underwater boxes. The simulator uses HC-SR04 ultrasonic sensors and a conveyor system to detect the dimensions of boxes. In industrial environments, this technology enables the handling, arrangement, and sorting of boxes based on size, enhancing operational efficiency and resource optimization. Sensor data is processed and visualized using web technology, providing an interactive interface that is easy to understand. Integrating this technology improves the accuracy, reliability, and efficiency of object management in various operational conditions. Testing the detection system with a single box object showed low measurement error values: 2.55% in height, 3.91% in width, and 5.83% in length. This indicates that the system has a good level of accuracy in detecting object dimensions. Keywords: ROV, IoT, industry, object detection, ultrasonic sensors, conveyor, HC-SR04, ESP-32, detection accuracy, web technology

Item Type:	Thesis (Diploma)
Uncontrolled Keywords:	ROV, IoT, industri, deteksi objek, sensor ultrasonik, konveyor, HC-SR04, ESP-32, akurasi deteksi, teknologi web.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885-7895 Computer engineering. Computer hardware
Divisions:	09-Faculty of Computer Science > 56401-Computer Engineering (D3)
Depositing User:	Heru Suwito
Date Deposited:	02 Aug 2024 08:50
Last Modified:	02 Aug 2024 08:50
URI:	http://repository.unsri.ac.id/id/eprint/153936

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