Freight Carrying Vessel

Freight-carrying vessels are undergoing significant technological advancements, driven by the need for improved efficiency, safety, and environmental responsibility. Current research focuses on developing autonomous systems for tasks like microplastic removal and optimized route planning, particularly in challenging environments like polar regions, leveraging machine learning models such as YOLO and LSTM networks for real-time monitoring and anomaly detection. These advancements enable better tracking of cargo, improved vessel performance analysis, and enhanced safety measures, ultimately contributing to more efficient and sustainable maritime transportation.