This project performs motion classification using accelerometer data (accX, accY, accZ) on an STM32 board. The AI model is built using NanoEdge AI Studio, and sensor data is collected via a USB serial emulator for training and testing. It demonstrates how embedded AI can detect different movements (like tilt, shake, or rest) directly on the device
🛫 Build a flight controller using STM32 and MPU6050 for accurate motion classification based on accelerometer data, enhancing robotics and automation projects.
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