6 DOF Gyro, Accelerometer IMU - MPU6050

DFRobotSKU: RB-Dfr-264
Manufacturer #: SEN0142

Price  :
Sale price $9.90

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Stock  :
In stock, 7 units

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Description

  • Tri-Axis accelerometer with a programmable full scale range of ±2g, ±4g, ±8g and ±16g
  • Combines a 3-axis gyroscope and a 3-axis accelerometer
  • I2C Digital-output of 6 or 9-axis Motion Fusion data in rotation matrix
  • Working Voltage: 3V - 5V

The 6 DOF Gyro, Accelerometer IMU - MPU6050 combine a 3-axis gyroscope and a 3-axis accelerometer on the same silicon die together with an onboard Digital Motion Processor (DMP) capable of processing complex 9-axis Motion Fusion algorithms. The integrated 9-axis Motion Fusion algorithms access external magnetometers or other sensors through an auxiliary master I2C bus, allowing the devices to gather a full set of sensor data without intervention from the system processor.

  • Working Voltage: 3 V - 5 V
  • I2C Digital output of 6 or 9-axis Motion Fusion data in rotation matrix, quaternion, Euler Angle, or raw data format
  • Tri-Axis accelerometer with a programmable full-scale range of ±2g, ±4g, ±8g and ±16g

Customer Reviews

Based on 9 reviews
78%
(7)
22%
(2)
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A
Adrien
Nice product

Easy to use. This IMU coupled with Kalman filter is a good way to stabilize an UAV for instance !

R
Riccardo
Works as expected

Not really easy to master all of its features, but once you have, it proves an incredibly powerful device.

2
2NKC
Fine performance at great price

Works just as it should and is 5V tolerant plus has a very handy power LED indicator (a much more expensive version I bought elsewhere is 3.3v only). It does not have all the MPU6050 function pins broken out: it lacks INT, SYNC, etc. But if you don't need those (and you probably don't) then it can't be beat.

S
Simon
Perfect for the job

Comes with unsoldered pins header. Possibility to link a magnometer directly to it but kind of pointless. Power led to let you know it works.

V
Vincent
Great product

The MPU 6050 works great. It's easy to get it working and retreive some raw data of it. There's a lot of documentation for it on the internet. I use it with my beaglebone black in C++. The data are precise enough for my quadcopter.

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