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How to Use 10 DOF IMU Sensor: Examples, Pinouts, and Specs

Image of 10 DOF IMU Sensor
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Introduction

The 10 DOF IMU Sensor (C) by Waveshare is a compact and versatile inertial measurement unit (IMU) that integrates multiple sensors to provide comprehensive motion and orientation data. It combines a 3-axis accelerometer, 3-axis gyroscope, 3-axis magnetometer, and a barometric pressure sensor, enabling precise measurement of linear acceleration, angular velocity, magnetic field strength, and altitude. This makes it an ideal choice for applications requiring motion tracking, navigation, and orientation sensing.

Explore Projects Built with 10 DOF IMU Sensor

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Battery-Powered Arduino UNO with BNO085 IMU and Bluetooth HC-06 for Orientation Tracking
Image of bno085: A project utilizing 10 DOF IMU Sensor in a practical application
This circuit integrates an Arduino UNO with an Adafruit BNO085 9-DOF Orientation IMU and a Bluetooth HC-06 module. The Arduino reads orientation data from the IMU via I2C and transmits it over Bluetooth, powered by a 7.4V battery.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino UNO-Based IMU and Bluetooth Communication System
Image of New one: A project utilizing 10 DOF IMU Sensor in a practical application
This circuit features an Arduino UNO microcontroller interfaced with a Bluetooth HC-06 module for wireless communication and an Adafruit BNO085 9-DOF Orientation IMU for motion sensing. The Arduino handles data acquisition from the IMU via I2C and communicates the data wirelessly through the Bluetooth module.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino UNO R4 WiFi and Adafruit BNO085 IMU Fusion for Orientation Tracking
Image of Last one: A project utilizing 10 DOF IMU Sensor in a practical application
This circuit consists of an Arduino UNO R4 WiFi microcontroller connected to an Adafruit BNO085 9-DOF Orientation IMU Fusion sensor. The Arduino provides power and ground to the IMU sensor and communicates with it via the I2C protocol using the SDA and SCL lines.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino UNO R4 WiFi and Adafruit BNO085 IMU Fusion for Orientation Tracking
Image of v2: A project utilizing 10 DOF IMU Sensor in a practical application
This circuit consists of an Arduino UNO R4 WiFi microcontroller connected to an Adafruit BNO085 9-DOF Orientation IMU Fusion sensor. The Arduino communicates with the IMU sensor via I2C protocol, providing power and ground connections to the sensor, enabling it to read orientation data.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with 10 DOF IMU Sensor

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Image of bno085: A project utilizing 10 DOF IMU Sensor in a practical application
Battery-Powered Arduino UNO with BNO085 IMU and Bluetooth HC-06 for Orientation Tracking
This circuit integrates an Arduino UNO with an Adafruit BNO085 9-DOF Orientation IMU and a Bluetooth HC-06 module. The Arduino reads orientation data from the IMU via I2C and transmits it over Bluetooth, powered by a 7.4V battery.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of New one: A project utilizing 10 DOF IMU Sensor in a practical application
Arduino UNO-Based IMU and Bluetooth Communication System
This circuit features an Arduino UNO microcontroller interfaced with a Bluetooth HC-06 module for wireless communication and an Adafruit BNO085 9-DOF Orientation IMU for motion sensing. The Arduino handles data acquisition from the IMU via I2C and communicates the data wirelessly through the Bluetooth module.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of Last one: A project utilizing 10 DOF IMU Sensor in a practical application
Arduino UNO R4 WiFi and Adafruit BNO085 IMU Fusion for Orientation Tracking
This circuit consists of an Arduino UNO R4 WiFi microcontroller connected to an Adafruit BNO085 9-DOF Orientation IMU Fusion sensor. The Arduino provides power and ground to the IMU sensor and communicates with it via the I2C protocol using the SDA and SCL lines.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of v2: A project utilizing 10 DOF IMU Sensor in a practical application
Arduino UNO R4 WiFi and Adafruit BNO085 IMU Fusion for Orientation Tracking
This circuit consists of an Arduino UNO R4 WiFi microcontroller connected to an Adafruit BNO085 9-DOF Orientation IMU Fusion sensor. The Arduino communicates with the IMU sensor via I2C protocol, providing power and ground connections to the sensor, enabling it to read orientation data.
Cirkit Designer LogoOpen Project in Cirkit Designer

Common Applications

  • Robotics and drone navigation
  • Gesture recognition and motion tracking
  • Virtual reality (VR) and augmented reality (AR) systems
  • Autonomous vehicles and GPS-aided navigation
  • Scientific research and data logging

Technical Specifications

The following table outlines the key technical details of the 10 DOF IMU Sensor (C):

Parameter Specification
Manufacturer Waveshare
Part ID 10 DOF IMU Sensor (C)
Operating Voltage 3.3V or 5V
Communication Interface I2C (Inter-Integrated Circuit)
Accelerometer MPU6050 (3-axis accelerometer and gyroscope)
Magnetometer HMC5883L (3-axis magnetometer)
Barometric Sensor BMP180 (pressure and temperature sensor)
Gyroscope Range ±250, ±500, ±1000, ±2000 °/s
Accelerometer Range ±2g, ±4g, ±8g, ±16g
Magnetometer Range ±1.3 to ±8.1 Gauss
Pressure Range 300 to 1100 hPa
Dimensions 23mm × 16mm

Pin Configuration

The 10 DOF IMU Sensor (C) has the following pinout:

Pin Name Description
1 VCC Power supply input (3.3V or 5V)
2 GND Ground
3 SCL I2C clock line
4 SDA I2C data line
5 EDA Reserved (do not connect)
6 ECL Reserved (do not connect)

Usage Instructions

How to Use the Component in a Circuit

  1. Power Supply: Connect the VCC pin to a 3.3V or 5V power source and the GND pin to ground.
  2. I2C Communication: Connect the SCL and SDA pins to the corresponding I2C pins on your microcontroller (e.g., Arduino UNO).
  3. Pull-Up Resistors: Ensure that the I2C lines (SCL and SDA) have pull-up resistors (typically 4.7kΩ) if not already present on the board.
  4. Address Configuration: The I2C addresses for the sensors are fixed:
    • MPU6050: 0x68 or 0x69 (configurable via AD0 pin on MPU6050)
    • HMC5883L: 0x1E
    • BMP180: 0x77

Important Considerations and Best Practices

  • Calibration: Perform sensor calibration (e.g., gyroscope offset, magnetometer hard/soft iron correction) for accurate readings.
  • Mounting: Secure the sensor to minimize vibrations and external interference.
  • I2C Bus Speed: Use a standard I2C bus speed (100kHz or 400kHz) for reliable communication.
  • Power Supply: Ensure a stable power supply to avoid noise in sensor readings.

Example Code for Arduino UNO

Below is an example code snippet to read data from the 10 DOF IMU Sensor (C) using an Arduino UNO:

#include <Wire.h>
#include <Adafruit_Sensor.h>
#include <Adafruit_MPU6050.h>
#include <Adafruit_HMC5883_U.h>
#include <Adafruit_BMP085_U.h>

// Create sensor objects
Adafruit_MPU6050 mpu;
Adafruit_HMC5883_Unified mag = Adafruit_HMC5883_Unified(12345);
Adafruit_BMP085_Unified bmp = Adafruit_BMP085_Unified(10085);

void setup() {
  Serial.begin(9600);
  Wire.begin();

  // Initialize MPU6050
  if (!mpu.begin()) {
    Serial.println("Failed to find MPU6050 chip");
    while (1);
  }
  Serial.println("MPU6050 initialized");

  // Initialize HMC5883L
  if (!mag.begin()) {
    Serial.println("Failed to find HMC5883L chip");
    while (1);
  }
  Serial.println("HMC5883L initialized");

  // Initialize BMP180
  if (!bmp.begin()) {
    Serial.println("Failed to find BMP180 chip");
    while (1);
  }
  Serial.println("BMP180 initialized");
}

void loop() {
  // Read accelerometer and gyroscope data
  sensors_event_t a, g, temp;
  mpu.getEvent(&a, &g, &temp);
  Serial.print("Accel X: "); Serial.print(a.acceleration.x);
  Serial.print(", Y: "); Serial.print(a.acceleration.y);
  Serial.print(", Z: "); Serial.println(a.acceleration.z);

  // Read magnetometer data
  sensors_event_t event;
  mag.getEvent(&event);
  Serial.print("Mag X: "); Serial.print(event.magnetic.x);
  Serial.print(", Y: "); Serial.print(event.magnetic.y);
  Serial.print(", Z: "); Serial.println(event.magnetic.z);

  // Read barometric pressure
  sensors_event_t pressureEvent;
  bmp.getEvent(&pressureEvent);
  Serial.print("Pressure: "); Serial.print(pressureEvent.pressure);
  Serial.println(" hPa");

  delay(1000); // Wait 1 second before next reading
}

Troubleshooting and FAQs

Common Issues

  1. No Data from Sensor:

    • Ensure proper wiring and connections.
    • Verify the I2C addresses of the sensors.
    • Check for pull-up resistors on the I2C lines.
  2. Inaccurate Readings:

    • Perform sensor calibration.
    • Minimize external interference (e.g., magnetic fields, vibrations).
  3. Communication Errors:

    • Ensure the I2C bus speed is compatible with the microcontroller.
    • Check for loose or faulty connections.

Solutions and Tips

  • Use a logic level shifter if interfacing with a 5V microcontroller and the sensor operates at 3.3V.
  • Test each sensor individually to isolate issues.
  • Refer to the datasheets of the MPU6050, HMC5883L, and BMP180 for advanced configuration options.

By following this documentation, users can effectively integrate the 10 DOF IMU Sensor (C) into their projects and achieve reliable motion and orientation sensing.