Safe distance reminder system on ship against port for the standing process using image processing

Abstract

Since ancient times, Indonesia has been known as a country that conducts trading activities. However, the number of accidents when the ship is about to dock is an indication of the need to improve the marine transportation system. The factors that cause accidents include human, technical and weather errors. Seeing these conditions and also related to the increasingly rapid development of technology, modern solutions for detecting objects using cameras can be developed. By using a PC as a video processor from a camera that works in real time and can classify several ship objects using the Convolutional Neural Network (CNN) method. As well as being able to estimate the distance of the object where the ship must turn off the engine before docked with the camera using Stereo Vision. and the results of the algorithm processing can be translated into a signal that will be sent to the harbormaster and also the ship that will dock as an output. Then the ship that will dock can find out the distance where the ship has to turn off the engine through the signal sent or siren. The average total accuracy of the system which is able to detect ships is 97.15%.

A review of intelligent ship marine object detection based on RGB camera

“…The experimental results showed that this algorithm has higher detection accuracy than the traditional SSD algorithm and increases the detection ability of small objects. Santosa et al [103] proposed an improved SSD algorithm with MobileNet as the backbone to classify the ship and transmit the signal to the engine to control the engine shutdown action, effectively avoiding accidents during the ship docking process.…”

“…Santosa et al. [103] proposed an improved SSD algorithm with MobileNet as the backbone to classify the ship and transmit the signal to the engine to control the engine shutdown action, effectively avoiding accidents during the ship docking process.…”