Features and Challenges of AI for Enhancing Sensor Performance in Naval Systems

Abstract

Intelligence, smart sensors are very much required to link with naval systems in current era to take autonomous decision making and enhancing the capabilities of existing systems. Artificial Intelligence (AI) based algorithms and deepcatch models are making predominant changes in the existing sensing technologies with much more precision in a real-time environment which will revolutionize Navy. But there are lot of challenges and features during the incorporation of AI in the performance upgradation of naval platforms. The latest improvement in the AI proactive real-time intelligence algorithms exceeding the human intelligence capability with the help of Merlin Deep Learning (DL) methods/models to extract and analyse the sensor parameters reading from the naval systems. Nowadays, Internet of Things (IoT) sensors installed with Reinforcement Learning (RL) algorithms are used to detect and process the object information in the naval systems. This paper discuss the key factors involved in the incorporation and upgradation of current sensor systems with their issues, challenges, benefits and features. The ideas and concepts presented in this paper are merely intended to provoke and stimulate thinking about human–machine interaction teams that would function on the AI-enabled battlefield of the future.