TinyML-powered real-time vibration fault detection system for rotating machinery deployed on an ESP32 microcontroller using an MPU6050 sensor, 256-point FFT, and an int8 quantized neural network.
Adaptive filters for MPU6050 on Arduino Nano. Roll, pitch, yaw with dynamic gyro/accel sensor fusion.
A software-simulated IoT microproject for an Anti-Sleep Driver Alert System. Built and runnable on Wokwi, it features a smart fatigue scoring engine tracking simulated eye blinks, vehicle speed scaling, and real I2C head-tilt data using an MPU6050 accelerometer with a 3-level alert routine.
Real-time 3D orientation tracking written in C on an STM32F401, using an MPU6050 IMU and a quaternion-based Mahony filter with live visualisation in Python using matplotlib.
In this project, we have designed a simple Hand Gesture Controlled Robot using Arduino. This Hand Gesture Controlled Robot is based on Arduino Nano, MPU6050, RF Transmitter-Receiver Pair and L293D Motor Driver. Even though the title says it as a Hand Gestured Controlled Robot, technically this robot is controlled by the tilt of the hand.
Python scripts to visualize MPU6050 data in realtime.
Smart wrist orthosis prototype for rehabilitation monitoring using flexible sensors, MPU6050, OLED display, and EMG instrumentation.
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