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How to Use SparkFun LSM303C 6 DOF IMU Breakout: Examples, Pinouts, and Specs

Image of SparkFun LSM303C 6 DOF IMU Breakout
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Introduction

The SparkFun LSM303C 6 DOF IMU Breakout is a versatile and powerful motion-sensing module that integrates a 3-axis accelerometer and a 3-axis magnetometer. This compact sensor is capable of providing precise measurements of orientation and motion, making it an ideal choice for a wide range of applications such as robotics, navigation, gesture recognition, and fitness tracking.

Explore Projects Built with SparkFun LSM303C 6 DOF IMU Breakout

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Raspberry Pi 5-Based Multi-Sensor IMU System with MPU-6050 and LSM303c
Image of GRS: A project utilizing SparkFun LSM303C 6 DOF IMU Breakout in a practical application
This circuit integrates a Raspberry Pi 5 with multiple sensors, including an MPU-6050 accelerometer and gyroscope, and an LSM303c 6DOF IMU, to collect and process motion and orientation data. The Raspberry Pi serves as the central processing unit, interfacing with the sensors via GPIO pins and providing power to them.
Cirkit Designer LogoOpen Project in Cirkit Designer
Battery-Powered Arduino UNO with BNO085 IMU and Bluetooth HC-06 for Orientation Tracking
Image of bno085: A project utilizing SparkFun LSM303C 6 DOF IMU Breakout 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 SparkFun LSM303C 6 DOF IMU Breakout 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
ESP32-Controlled Multi-MPU6050 and MPU9250 IMU Data Aggregator
Image of gant vr: A project utilizing SparkFun LSM303C 6 DOF IMU Breakout in a practical application
This circuit features an ESP32 microcontroller interfaced with multiple MPU-6050 sensors and a single MPU-9250 sensor through an Adafruit TCA9548A I2C multiplexer, allowing for the reading of multiple inertial measurement units (IMUs) over the same I2C bus. The ESP32 collects and processes acceleration and gyroscopic data from the sensors to calculate angles in the X and Y axes. Power management is handled by a TP4056 charging module and an AMS1117 voltage regulator, which together with two 18650 Li-ion batteries, provide a stable power supply for the microcontroller and sensors.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with SparkFun LSM303C 6 DOF IMU Breakout

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 GRS: A project utilizing SparkFun LSM303C 6 DOF IMU Breakout in a practical application
Raspberry Pi 5-Based Multi-Sensor IMU System with MPU-6050 and LSM303c
This circuit integrates a Raspberry Pi 5 with multiple sensors, including an MPU-6050 accelerometer and gyroscope, and an LSM303c 6DOF IMU, to collect and process motion and orientation data. The Raspberry Pi serves as the central processing unit, interfacing with the sensors via GPIO pins and providing power to them.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of bno085: A project utilizing SparkFun LSM303C 6 DOF IMU Breakout 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 SparkFun LSM303C 6 DOF IMU Breakout 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 gant vr: A project utilizing SparkFun LSM303C 6 DOF IMU Breakout in a practical application
ESP32-Controlled Multi-MPU6050 and MPU9250 IMU Data Aggregator
This circuit features an ESP32 microcontroller interfaced with multiple MPU-6050 sensors and a single MPU-9250 sensor through an Adafruit TCA9548A I2C multiplexer, allowing for the reading of multiple inertial measurement units (IMUs) over the same I2C bus. The ESP32 collects and processes acceleration and gyroscopic data from the sensors to calculate angles in the X and Y axes. Power management is handled by a TP4056 charging module and an AMS1117 voltage regulator, which together with two 18650 Li-ion batteries, provide a stable power supply for the microcontroller and sensors.
Cirkit Designer LogoOpen Project in Cirkit Designer

Technical Specifications

General Features

  • 3-axis digital linear acceleration sensor
  • 3-axis digital magnetic sensor
  • I2C serial bus interface
  • Operating Voltage: 3.3V to 5V
  • Accelerometer Sensitivity: ±2/±4/±8 g selectable
  • Magnetometer Sensitivity: ±16 gauss selectable

Pin Configuration

Pin Number Name Description
1 GND Ground connection
2 VCC Power supply (3.3V-5V)
3 SDA I2C Data Line
4 SCL I2C Clock Line
5 DRDY Data Ready (optional use)
6 INT1 Interrupt 1 (optional use)
7 INT2 Interrupt 2 (optional use)

Usage Instructions

Connecting to an Arduino UNO

  1. Connect the VCC pin to the 3.3V output on the Arduino UNO.
  2. Connect the GND pin to a ground pin on the Arduino UNO.
  3. Connect the SDA pin to the A4 pin (SDA) on the Arduino UNO.
  4. Connect the SCL pin to the A5 pin (SCL) on the Arduino UNO.

Arduino Library and Code Example

Before using the LSM303C with an Arduino, you need to install the SparkFun LSM303C library. You can install it using the Arduino Library Manager by searching for "SparkFun LSM303C".

Here is a simple code example that initializes the sensor and reads acceleration and magnetic field data:

#include <Wire.h>
#include <SparkFunLSM303C.h>

LSM303C myIMU; // Create an instance of the LSM303C class

void setup() {
  Wire.begin(); // Initialize I2C
  Serial.begin(9600); // Initialize Serial for output

  if (myIMU.begin() != 0) {
    Serial.println("Problem starting the sensor.");
  } else {
    Serial.println("Sensor online!");
  }
}

void loop() {
  myIMU.read(); // Read the sensor

  // Print acceleration data
  Serial.print("Accel X: "); Serial.print(myIMU.ax); Serial.print(" ");
  Serial.print("Accel Y: "); Serial.print(myIMU.ay); Serial.print(" ");
  Serial.print("Accel Z: "); Serial.println(myIMU.az);

  // Print magnetic field data
  Serial.print("Mag X: "); Serial.print(myIMU.mx); Serial.print(" ");
  Serial.print("Mag Y: "); Serial.print(myIMU.my); Serial.print(" ");
  Serial.print("Mag Z: "); Serial.println(myIMU.mz);

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

Important Considerations and Best Practices

  • Ensure that the power supply is within the specified range (3.3V to 5V).
  • When using I2C, pull-up resistors may be necessary depending on your microcontroller's setup.
  • Avoid placing the sensor near magnetic fields that could interfere with the magnetometer readings.
  • For accurate readings, calibrate the magnetometer in your application's environment.

Troubleshooting and FAQs

Common Issues

  • Sensor not responding: Ensure that the wiring is correct and that the sensor is properly powered.
  • Inaccurate readings: Check for nearby magnetic sources that could affect the magnetometer. Also, ensure that the sensor is calibrated.
  • I2C communication errors: Verify that the correct I2C address is being used and that pull-up resistors are in place if required.

FAQs

Q: Can the LSM303C be used with a 5V microcontroller? A: Yes, the LSM303C can be interfaced with a 5V microcontroller, but ensure that the VCC pin is connected to a 3.3V supply.

Q: How do I calibrate the magnetometer? A: Calibration typically involves rotating the sensor in various orientations and using software to record and compensate for any biases.

Q: What is the I2C address of the LSM303C? A: The I2C address for the LSM303C is 0x1D (7-bit address).

Q: How can I change the sensitivity of the accelerometer or magnetometer? A: Sensitivity settings can be changed through the library functions provided by the SparkFun LSM303C library.

For further assistance, consult the SparkFun LSM303C library documentation and the sensor's datasheet.