The autonomous landing of Unmanned Aerial Vehicles (UAVs) on mobile platforms represents one of the most critical challenges in modern robotics, particularly in dynamic and outdoor environments where Global Navigation Satellite Systems (GNSS) lack the necessary precision. This research project aims to design and implement a robust "IR Lock" system to enhance the precision of the landing phase. The proposed solution integrates computer vision algorithms with active beacons (IR LEDs) and passive fiducial markers (Visual Tags/QR codes). By shifting from purely visible-spectrum features to infrared or high-contrast target tracking, the system seeks to mitigate environmental interference.