Developed a target acquisition visualization feature for the Alliance-Algorithm/RMCS repository, focusing on enhancing operator visibility and control within the flight system. The work involved implementing an AutoAimUi component in C++ that dynamically renders a crosshair based on the robot’s center coordinates and shooting status, leveraging computer vision techniques and the Eigen library for precise calculations. Configuration parameters were added to allow tuning of UI offsets under varying flight conditions, supporting adaptability and usability. By enabling real-time visual feedback and configurability, this feature aimed to streamline target acquisition and reduce operator cognitive load during high-workload scenarios, particularly in robotics applications using ROS 2.