This project is a compact sensor and embedded development board based on the STM32F405 microcontroller, designed for high-speed sensor data acquisition and real-time embedded processing.

The board integrates multiple sensors, including the BMI088 inertial measurement unit (IMU) for accelerometer and gyroscope measurements and the SPL06 barometric pressure sensor for atmospheric pressure and altitude estimation. These sensors allow the system to collect motion, orientation, pressure, and environmental data in real time.

The STM32F4 communicates with the sensors through SPI interfaces, while DMA-based data transfer helps reduce CPU overhead and improves sampling performance. The firmware also includes digital filtering and an Extended Kalman Filter (EKF), allowing raw sensor measurements to be processed into more stable and useful motion and orientation information.

The board also supports USB communication, enabling processed sensor data to be transmitted to a computer for monitoring, debugging, visualization, or further analysis. PWM and additional interfaces provide expansion possibilities for external hardware and future applications.

The platform can be used for applications such as robotics, drones, motion tracking, attitude estimation, environmental monitoring, navigation systems, autonomous devices, and sensor fusion research.

For future development, lightweight Edge AI algorithms can be added directly to the STM32F4. Instead of sending all raw sensor data to an external computer or cloud server, the microcontroller could locally perform tasks such as motion classification, anomaly detection, activity recognition, or intelligent sensor analysis.

The main goal of this project is to create a compact and expandable embedded platform that combines real-time sensor acquisition, sensor fusion, signal processing, and local intelligent processing for robotics and IoT applications.