A Python module for accessing the MPU-6050 digital accelerometer and gyroscope on a Raspberry Pi.
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Updated
Dec 24, 2021 - Python
A Python module for accessing the MPU-6050 digital accelerometer and gyroscope on a Raspberry Pi.
A differential drive robot is controlled using ROS2 Jazzy running on a Raspberry Pi 4 (running Ubuntu Server 24.04). The vehicle is equipped with a Raspberry Pi camera for visual feedback and an RPLIDAR A1 sensor used for Simultaneous Localization and Mapping (SLAM), autonomous navigation and obstacle avoidance.
MicroPython I2C driver for MPU9250 9-axis motion tracking device
Calibration procedure for the MPU9250's accelerometer, gyroscope, and magnetometer using Python and a Raspberry Pi Computer
MPU6050/9250 I2C and SPI interface. Sensor fusion using a complementary filter yields sensor Euler angles and is implemented in five different languages.
Rocket flight recorder based on Raspberry Pi Zero W
An icloud-powered digital frame running on a Raspberry Pi. Downloads a random sample of photos from your icloud account, crops them to the correct aspect ratio and displays them. Supports parallel slideshows, interactive menus, GPS/EXIF lookup and auto rotation via a MPU-6050 accelerometer.
IMU visualizer with Python, OpenGL and MPU6050
A GUI tool for plotting and recording MPU-6050 digital accelerometer and gyroscope readings on a Raspberry Pi
pymotiontracker is a Python 3 library to read from an MPU6050 (accelerometer + gyroscope) Bluetooth module
A specialized library for seamless interaction with the MPU6050 Inertial Measurement Unit (IMU). Our library simplifies working with the DMP module, enabling precise motion sensing and orientation tracking.
Arduino+MPU6050+Python=GYRO_MOUSE
This project utilizes Wemos D1 and MPU6050 for real-time 10 DOF motion tracking, transmitting data via UDP. The microcontroller is programmed in C++, and the server is built in Python. Two plugins are developed for Blender and Unreal Engine integration.
🧶 an interactive visualization of a GY-521's gyroscope data as recorded by an Arduino
Camera's gimbal stabilizer for BeagleBone using PWM signals
MPU6050 Graph Using PyQt5
FPV Goggles - head tilt vibrator. If the glasses are not horizontal, then a small vibration motor indicates this until the glasses are horizontal again. Useful Useful for pilots who often take the head down or up to improve the reception quality.
Simulation for leg prosthesis 🦿
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