Technical Diagnosis of the Vessel Based on Visual Inspection Using Machine Learning

Many companies use additional personnel (group of divers) to determine the technical condition of propellers. This research will help to find the most effective method of machine learning, and the development on its basis will not only reduce the cost of technical diagnostics, but also accelerate the process itself due to autonomous underwater vehicle, thereby giving the opportunity to eliminate the need for human labor.