We will use our M.P.U. 6050 to control a Graphic unit or say Model Paper Plane, which is commonly known as Teapot, with our M.P.U. 6050!
Motorcycle Inclinometer with alarm system via email notifica
Hello all, welcome to another Arduino Sensor Tutorial, in this Blog, we will learn how to wire and code MPU 6050, lets start!
Wearable device which will detect fall and call emergency contact person, reminds to take medicines, bluetooth location tracking.
With a lot of inspiration from Boston Dynamics projects, I'm trying to make something great without million dollars.
Find out how the world turns. Read the values of the accelerometer and the gyroscope.
A versatile & easy to use vehicle platform for hobby-grade projects: You focus on application logic and the library takes care of the rest.
This is the snake game for PHPoC Arduino Shield (P4S-347/348) by a gyro sensor of smartphone.
We're learning how to "hack" a bluetooth toy car by building a custom remote for it. using arduino and a gyroscope.
In this project, we'll combine a gyroscope and NeoPixels to build a device that lights LEDs corresponding to the angle of inclination.
A robot capable of motion in response to our gestures.
The project consists of reading values for pitch and roll, and communicating the modified values over serial to the display.
An addictive Arduino game on a 128x64 OLED display.
A gyroscope-based digital inclinometer using MPU6050/9250 and Arduino.
A useful tool to visualize at real time data of the MPU9250 sent through a COM port.
A hand gesture-controlled car made from scrap DVD player. Hand gestures detected by gyro and Arduino-driven motor.
This project connects the ADLX345 3-Axis accelerometer to display a location on an 8x8 LED matrix using the MAX7219 LED driver chip.
Visualizing the gyroscope data MPU6050.
This demo shows an example of how to use machine learning in a decision tree concept, programmed into a smart $2 LSM6DSOX sensor.
How to use a 3-axis digital accelerometer.
Out with the tilt indicator stickers, in with proactive notifications and tracking.
A pen fitted with IMU is trained to recognize handwritten numerals (0 to 9).
This code enables you to make an accelerometer and gyroscope give the best results.
Arduino with MPU6050.