Laser-based imaging approach for nocturnal vessel detection in rivers.

In the twenty-first century, maritime routes are crucial for geographical and financial reasons in riverine countries. Compared to the available technology abroad, Bangladesh has insufficient monitoring of water vessels to tackle any possible disaster, such as vessel collisions for inland water transportation. One of the frequent outcomes of this architecture is regular capsizing, which sometimes leads to loss of lives. These accidents bear physical and economic costs, which are detrimental for a third-world country like Bangladesh. Considering this important issue, we attempted to develop an effective system to make river travel safe. In this study, our focus was on Bangladesh's inland waterway transportation, particularly at night. We proposed a system with the help of laser technology that tracks both the host ship and its surrounding vessels and provides real-time tracking positions. Cameras are used to monitor the vessel's movement. The diameter of the laser sphere is the primary source of data to work on for our proposed model, which is annotated using image processing. The control room will monitor data in the real-time setup, and data will be updated automatically. This proposal was presented through modeling and simulation based on laser detection and identification.