MPU6050 Interfacing: Raspberry Pi

 

1. Introduction

The MPU6050 is a powerful sensor that combines a 3-axis accelerometer and 3-axis gyroscope. It can measure motion, tilt, and rotation, making it ideal for robotics and motion-based applications with the Raspberry Pi.

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2. Components

• Raspberry Pi 4 Model B
• MPU6050
• Jumper wires
• Breadboard (optional)

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3. Circuit and Connections

MPU6050 Accelerometer & Gyroscope Pinout Diagram

I2C Connection Table

MPU6050 Pin	Raspberry Pi
VCC	3.3V
GND	GND
SDA	GPIO2 (Pin 3)
SCL	GPIO3 (Pin 5)

👉 Default I2C Address: 0x68 (or 0x69)

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4. Detailed Step By Step Circuit Working

1. MPU6050 detects acceleration and angular rotation.
2. Internal ADC converts motion data into digital values.
3. Data is sent to Raspberry Pi via I2C protocol.
4. Pi reads raw values from registers.
5. Values represent motion in X, Y, Z axes.

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5. Libraries to be Included

sudo apt update
sudo apt install python3-smbus i2c-tools
pip3 install smbus2

Enable I2C:

sudo raspi-config

→ Interface Options → I2C → Enable

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6. Code (Python)

import smbus2
import time

bus = smbus2.SMBus(1)
addr = 0x68

# Wake up MPU6050
bus.write_byte_data(addr, 0x6B, 0)

def read_word(reg):
    high = bus.read_byte_data(addr, reg)
    low = bus.read_byte_data(addr, reg + 1)
    value = (high << 8) + low
    if value > 32768:
        value = value - 65536
    return value

while True:
    acc_x = read_word(0x3B)
    acc_y = read_word(0x3D)
    acc_z = read_word(0x3F)

    gyro_x = read_word(0x43)
    gyro_y = read_word(0x45)
    gyro_z = read_word(0x47)

    print("ACC:", acc_x, acc_y, acc_z)
    print("GYRO:", gyro_x, gyro_y, gyro_z)
    print("----------------------")

    time.sleep(1)

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7. Detailed Step By Step Code Working

• Initializes I2C communication
• Wakes up sensor using register 0x6B
• Reads high & low bytes from registers
• Combines values into signed integers
• Displays acceleration and gyro data

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8. Tips

• Use i2cdetect -y 1 to confirm address
• Keep sensor stable for accurate readings
• Avoid vibrations during testing
• Calibrate sensor for better accuracy
• Use libraries for angle calculation if needed

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9. Uses

• Self-balancing robots
• Gesture control systems
• Motion tracking
• Drone stabilization
• Gaming controllers

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10. Conclusion

The MPU6050 is a powerful motion sensor that enables advanced applications like robotics and gesture control. Interfacing with Raspberry Pi using I2C is simple and effective.