As a member of an open-source computer vision team, I contributed significantly to the development of a cutting-edge robotics application. Leveraging Python's OpenCV library, I specialized in real-time data capture from a robotic car using ArUco markers for precise localization. Additionally, I designed and implemented a user-friendly graphical interface (GUI) using Tkinter, allowing for seamless shape selection. I also integrated the MQTT protocol to ensure efficient communication with an ESP32 microcontroller, showcasing my expertise in embedded systems. This experience has honed my skills in computer vision, user interface design, and embedded systems development for advanced robotics applications.