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