The FPV Head-Tracking Gimbal is a system that enhances user immersion and control in FPV drone and robotics operation through real-time head tracking. The project integrates an IMU, two servos, and ESP32/ESP32CAM microcontrollers to synchronize the gimballed camera movement with the user's head orientation. It consists of a transmitting system and a receiving system.  The transmitting system consists of an IMU embedded into "goggles" to simulate an FPV headset, and a receiving system, featuring an ESPCAM module on a 2-axis gimbal. Additionally, the system supports a secondary mode for image relay via UART and ESP-NOW, expanding its functionality.

I led the design, implementation, and testing of the head-tracking and image relay systems, ensuring real-time responsiveness, modularity, and robustness, alongside my partner Mauricio Vergara for ME 100 (Internet of Things). This project is an emphasis of my abilities to integrate hardware and software for dynamic, low-latency applications in robotics, despite requirements to use MicroPython.