This Blog shows the minimal C++ code for interfacing with the MPU6050 sensor on ARM and Raspberry Pi devices.

Repositorie of the MPU6050 C++ Interface for ARM and Raspberry Pi - Access the complete code and documentation on GitHub.

Overview

The MPU6050 is a commonly used accelerometer and gyroscope module. This code provides basic functionalities to initialize the sensor, read raw data from the accelerometer and gyroscope, and calculate sensor measurements. It serves as a starting point for incorporating MPU6050 functionality into C++ projects on ARM platforms.

Vibration Analysis

Features

  • Initialization of the MPU6050 sensor
  • Reading raw data from the accelerometer and gyroscope
  • Calculation of sensor measurements
  • ARM and Raspberry Pi compatibility

Building the Software and Installing Dependencies

To build and run the MPU6050-CPP-ARM-RaspberryPi software, follow these steps:

  1. Ensure that you have the necessary dependencies installed on your ARM or Raspberry Pi device. This code relies on the following libraries:
    • Linux I2C Development Libraries
    • C++ Compiler (e.g., GCC)

    If these libraries are not already installed, you can install them using the package manager for your specific Linux distribution. For example, on Debian-based systems, you can use the following command:

    ```bash sudo apt-get install libi2c-dev g++

  2. Clone the repository to your local machine: ```bash git clone https://github.com/soheil1156/MPU6050-CPP-ARM-RaspberryPi.git
  3. Navigate to the project directory: ```bash cd MPU6050-CPP-ARM-RaspberryPi
  4. Build the code using the provided Makefile: ```bash make

This command will invoke the Makefile, which contains the necessary build instructions. It will compile the code and create an executable named MPU6050.

  1. Run the executable: 
     ./MPU6050

    The code will interface with the MPU6050 sensor and display the sensor measurements.

    MATLAB Vibration Analysis

Vibration Analysis

Description: This image showcases the results of a vibration analysis conducted using MATLAB. The analysis was performed using the MPU6050-CPP-ARM-RaspberryPi software developed in C++. The image demonstrates the vibration waveform and provides insights into the vibration characteristics.

Contributing

Contributions to this repository are welcome. If you have any improvements or bug fixes, feel free to submit a pull request. For major changes, please open an issue first to discuss the proposed changes.

License

This project is licensed under the MIT License. Feel free to use and modify the code for your own projects.

Acknowledgements

MPU6050 Datasheet: Official datasheet for the MPU6050 sensor. Linux I2C Documentation: Documentation for using I2C on Linux.

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