Study on the autonomous surface ship platform of existing ships using image processing
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Recently, interest in autonomous ships has increased significantly in the maritime industry owing to its safety and efficiency. Autonomous operation at sea requires an autonomous navigation system, autonomous engine and monitoring control system, and shore control center. However, autonomous engine monitoring and control systems are difficult to apply in existing ships because this is a more complex task consisting of engine information from the system. In this study, we developed a design method to extract digital data from the displayed monitor and to verify the possibility of extracting data from actual vessels using image processing techniques to build an autonomous ship platform on a non-autonomous ship platform. The data were extracted by connecting the camera to a single-board computer to obtain images and processing by mounting on an actual vessel. In addition, the images obtained using the camera and monitoring system screen were compared with the captured images.
Abstract
Recently, interest in autonomous ships has increased significantly in the maritime industry owing to its safety and efficiency. Autonomous operation at sea requires an autonomous navigation system, autonomous engine and monitoring control system, and shore control center. However, autonomous engine monitoring and control systems are difficult to apply in existing ships because this is a more complex task consisting of engine information from the system. In this study, we developed a design method to extract digital data from the displayed monitor and to verify the possibility of extracting data from actual vessels using image processing techniques to build an autonomous ship platform on a non-autonomous ship platform. The data were extracted by connecting the camera to a single-board computer to obtain images and processing by mounting on an actual vessel. In addition, the images obtained using the camera and monitoring system screen were compared with the captured images.
참고문헌 (9)
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