# Remove Long Term Steady State Errors from MPU6050 Tilt Measurements

In this video lesson I show you how to remove long term steady state error from the tilt values calculated from the MPU6050 IMU. We are using the following schematic for our prototype.

For your convenience, this is the code we developed in the video.

# Improving Accuracy of MPU6050 Data Using a Complimentary Filter

In this video lesson we show how to create a complimentary filter such we get pitch and roll data from the MPU6050 which is quick and responsive, accurate, and low noise. We are using the following schematic:

This is the code we developed in the video.

# Measuring Roll, Pitch, and Yaw Using 3-Axis Gyro on the MPU6050

In this video lesson we describe how to measure roll, pitch, and yaw using the MPU6050. We describe the issues associated with drift in these gyros and will propose a path forward in dealing with the drift issue.

We are using the following circuit for this project:

And this is the code we develop in today’s lesson.

# Two Axis Tilt Meter Displaying Pitch and Roll Using an MPU6050 on the Raspberry Pi Pico W

In this video lesson, we demonstrate how to create a two-axis tilt meter. The device displays both the pitch and roll on an OLED. In addition to this quantitative display of tilt and roll, it also shows a carpenter’s level type visual, where a circle, or bubble moves to indicate tilt. When the circle is centered on the crosshairs, the device is flat in both axis.

For your convenience, this is the schematic we are using:

And we also include the code we developed in this lesson.

# Schematic for Tilt Meter Using the MPU6050

Below we show the detailed schematic we use for the Tilt Meter we are developing based on the MPU6050 IMU sensor.

This is the simple code for measuring acceleration in the x and y axis. We will develop this much further in future lessons, but this is just to verify things are hooked up correctly, and that we can measure accelleration.