Abstract? Ships are sea transportation that is often used in Indonesia. However, who would have thought that the
transportation would become a case because of the frequent occurrence of accidents. This has been proven from data from
the KNKT (National Transportation Safety Committee) which noted that from 2012 to 2017 there had been an increase in
accidents in the waters. In fact, according to the National Search and Rescue Agency (Basarnas) in 2020 there have been 878
incidents with victims reaching 4658 people. In this final project, the author makes a prototype of BNWAS (Bridge
Navigational Watch Alarm System) equipped with obstacle warning using image processing with the otsu method
strengthened by thresholding-based segmentation with inverse technique (TsTN), distance detection using the triangle
similarity method, real-time tracking with GPS (Global Positioning System) and the entire system can be observed on the
Android application. The Final Project performs several analyzes including performance analysis by calculating the
accuracy of the BNWAS alarm system, image detection accuracy, distance detection accuracy, GPS accuracy, overall system
testing accuracy and packet loss. The accuracy of each system is very good because the error is below 2%, while for overall
system testing has a very good performance with a delay of 179.8 ms and 0% packet loss.
