Pengoperasian Remotely Operated Vehicle (ROV) Mendukung Pekerjaan Bawah Air (Studi Kasus Pendeteksian Kabel Bawah Laut Menggunakan ROV H800 Di Perairan Selat Bangka Belitung)

Saputro, Bayu Sapto; Djunarsjah, Eka; Setiyadi, Johar; Negara, Adhi Kusuma

doi:10.37875/hidropilar.v1i2.30

Cited by 2 publications

(3 citation statements)

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“…For the training data process, custom configurations were used based on the number of classes being trained. A reference guide 3 was employed for the configuration of submarine cable detection, as presented in Table IV  Steps: In the YOLOv4 configuration (cfg) file, the "steps" parameter is used to control when the learning rate will be adjusted during the training process. The "steps" value, expressed as a percentage of "max_batches," determines the points at which the learning rate will undergo changes.…”

Section: E Data Annotation and Trainingmentioning

confidence: 99%

“…A Remotely Operated Vehicle (ROV) is an underwater robot that can be controlled remotely [2]. Some ROVs are equipped with computer vision technology-enabled cameras for underwater inspection purposes, including maintenance and observation in the vicinity of submarine cables [3]. Typically, the process of detecting submarine cables is visually performed by ROV operators who oversee the video feed from the camera mounted on the ROV.…”

Section: Introductionmentioning

confidence: 99%

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Design and Implementation Submarine Cable Object Detection YOLOv4 based with Graphical User Interface (GUI) for Remotely Operated Vehicle (ROV)

Wicaksana,

Mulyana,

Hidayat

et al. 2023

IJACSA

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The use of submarine cables as underwater transmission channels for distributing electrical energy in Indonesian waters is crucial. However, the detection and maintenance of submarine cables still heavily rely on human observation, leading to limitations in time and subjective interpretations. This research aims to design and implement an underwater object detection system based on YOLOv4 integrated with a Graphical User Interface (GUI) on a Remotely Operated Vehicle (ROV) for submarine cable detection. The YOLOv4 model was trained using a balanced dataset, achieving performance with precision of 0.89, recall of 0.85, and f1-score of 0.87. Detection of Good Condition (SC-Good-Condition) achieved an Average Precision (AP) of 97.62%, while Bad Condition detection (SC-Bad-Condition) had an AP of 87.54%, resulting in an overall mAP of 92.58%. The implemented GUI successfully detected submarine cables in two test videos with FPS rates of 0.178 and 0.083. The designed underwater object detection system using YOLOv4 and GUI on ROV demonstrated satisfactory performance in detecting submarine cables. However, further efforts are needed to improve the GUI's FPS to make it more responsive and efficient. This research contributes to the development of underwater detection technology that supports environmental observation and electrical energy distribution in Indonesian waters.

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Section: E Data Annotation and Trainingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design and Implementation Submarine Cable Object Detection YOLOv4 based with Graphical User Interface (GUI) for Remotely Operated Vehicle (ROV)

Wicaksana,

Mulyana,

Hidayat

et al. 2023

IJACSA

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“…Meanwhile, Remotely Operated Vehicle (ROV) is an unmanned underwater robot that can maneuver in water and it's controlled by an operator above the water surface [3]. The application of ROV can help humans in various research and engineering activities in the water [4]. In this research, an underwater robot based on ROV is designed which it's controlled using a smartphone connected to WiFi network.…”

Section: Introductionmentioning

confidence: 99%

Design and Control Underwater Robot Based on Smartphone

Loua,

Lestari,

Yuniarti

et al. 2023

Fiziya

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Underwater robot is a type of robot specially designed and configured to operate underwater, especially in seas, rivers, and lakes. The main purpose of underwater robots is to perform various tasks and missions underwater, which are often difficult or dangerous for humans to carry out. The method used to design the underwater robot is with a smartphone control system. The robot can move according to the user's commands by being connected through a internet network, allowing the robot and smartphone to be interconnected. This underwater robot is equipped with a camera and two lamps, and the images captured by the camera are displayed on a personal computer. Meanwhile, the lights are controlled by the user using a smartphone. The research results show that the underwater robot can be controlled to a depth of 0.5 meters with an average button press speed of 1 second in floating conditions and 2.9 seconds at a depth of 15 centimeters. The application of this robot can take photos, display good images, and monitor activities underwater. In addition, the captured image from underwater robot are also good and the image produced are clearly visible both on land and in the water.

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Pengoperasian Remotely Operated Vehicle (ROV) Mendukung Pekerjaan Bawah Air (Studi Kasus Pendeteksian Kabel Bawah Laut Menggunakan ROV H800 Di Perairan Selat Bangka Belitung)

Cited by 2 publications

References 0 publications

Design and Implementation Submarine Cable Object Detection YOLOv4 based with Graphical User Interface (GUI) for Remotely Operated Vehicle (ROV)

Design and Implementation Submarine Cable Object Detection YOLOv4 based with Graphical User Interface (GUI) for Remotely Operated Vehicle (ROV)

Design and Control Underwater Robot Based on Smartphone

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