Targeting underwater objects for defense purposes seems difficult due to various complexities present in the ocean i.e. Doppler shifts, Ocean Turbulences, Signal Attenuation, Pressure variations, Limited visibility, etc. Traditional methods are unable to find the exact target due to these complexities or have very little accuracy. Today in the era of AI, we are approaching the smart detection of underwater objects using state-of-the-art technologies integrated with AI techniques. To address the above issues and integration of AI into underwater target detection this project implemented multi-influence sensors on a simulated environment based on microelectromechanical systems to check the redundancy of the proposed work. This study provides an interactive graphical user interface (GUI), a visual representation of the simulation outcomes, including a sequential demonstration of safety protocols, first ensuring safe distance followed by safe separation through validated settings. After achieving the safety protocols multi-influence sensors have been featured in this study. The design and simulation of this system are conducted in a MATLAB environment enabling real-time modeling for decision-making.