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motor-classification

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JonasSouza871 / Motor_Vibration_Classification_TinyML

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Real-time motor speed classification using TinyML on Raspberry Pi Pico W. MLP neural network trained with TensorFlow deployed on embedded hardware (5.3 KB model). Classifies motor vibration into 4 speed levels using MPU6050 accelerometer with live OLED display feedback. Complete ML workflow from data collection to edge deployment.

machine-learning tensorflow mlp mpu6050 predictive-maintenance embedded-system tensorflow-lite tinyml raspberry-pi-pico vibration-analysis embedded-ml motor-classification
  • Updated Dec 9, 2025
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