The article discusses the potential of combining artificial intelligence (AI) and thermal camera technology to enhance ocean navigation. Researchers at the University of Miami are developing an AI system that can analyze thermal images captured by cameras mounted on ships to detect obstacles, such as other vessels or debris, in the water. The system uses machine learning algorithms to identify patterns and anomalies in the thermal data, enabling early detection and avoidance of potential hazards. This technology could significantly improve maritime safety and efficiency by providing real-time situational awareness to ship operators. Additionally, the AI system can integrate data from other sensors, such as radar and sonar, to create a comprehensive picture of the surrounding environment. The researchers aim to have a prototype ready for testing by 2024, with plans to commercialize the technology for widespread adoption in the shipping industry. The combination of AI and thermal imaging offers a promising solution to the challenges of navigating the oceans, potentially reducing accidents and enhancing the overall safety of maritime operations.