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MPU-9250 6-Axis Attitude Gyro and Accelero Sensor Module (Without Magnetometer)

₹387.00Price
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Overview

The MPU-9250 is a compact motion tracking sensor that combines:

  • 3-axis gyroscope (rotation)

  • 3-axis accelerometer (tilt & movement)

 

Note: In your version, the magnetometer is not available/used, so it works as a 6-axis IMU (Inertial Measurement Unit).

Working Principle

Accelerometer

  • Measures linear acceleration (X, Y, Z axes)

  • Detects tilt, vibration, and movement

 

Gyroscope

  • Measures angular velocity

  • Detects rotation and orientation changes

 

Combining both gives stable orientation tracking using sensor fusion algorithms.

Infographic Summary

MPU-9250 (6-AXIS IMU) Measures: Motion & tilt Voltage: 3.3V (typ.) Interface: I2C / SPI Gyro: 3-axis Accel: 3-axis Output: Digital data

Pin Configuration (Typical Module)

MPU-9250 Module VCC 3.3V GND Ground SCL I2C Clock SDA I2C Data CS SPI Select INT Interrupt

Key Specifications

  • Operating Voltage: 2.4V 3.6V (3.3V typical)

  • Interface: I2C / SPI

  • Accelerometer Range: 2g, 4g, 8g, 16g

  • Gyroscope Range: 250 to 2000 /s

  • Sampling Rate: up to 1 kHz

  • Resolution: 16-bit ADC

  • Low power consumption

 

Key Features

  • 6-axis motion tracking (gyro + accel)

  • High precision and fast response

  • Digital output (easy to process)

  • Small and lightweight

  • Built-in Digital Motion Processor (DMP)

 

Applications

  • Self-balancing robots

  • Drones & quadcopters

  • Moon systems

 

Interfacing

Works with:

  • Arduino

  • ESP32 / ESP8266

  • Raspberry Pi

 

Uses I2C communication (most common):

  • SDA Data

  • SCL Clock

 

Output Data Example

Axis

Type

Example Use

X

Accel/Gyro

Tilt left/right

Y

Accel/Gyro

Forward/backward

Z

Accel/Gyro

Up/down movement

 

Important Notes

  • Requires 3.3V (NOT 5V directly)

  • Needs calibration for accurate readings

  • Without magnetometer no absolute heading (no compass)

  • oFeature 6-Axis (Your Module) 9-Axis (Full MPU-9250) Sensors Gyro + Accel Gyro + Accel + Magneto Compass Feature No Yes Accuracy Good Better orientation Cost Lower Higher

    Pro Tip

    For best results:

    • Use sensor fusion algorithms (e.g., complementary/Kalman filter)

    • Combine gyro + accel data for stable orientation

     

    Perfect for building self-balancing r

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