MMA8452Q 3-Axis Digital Accelerometer
The MMA8452Q device, provides digital acceleration for X, Y and Z axis.
This Device is available from ControlEverything.com [SKU: MMA8452Q_I2CS]
https://www.controleverything.com/content/Accelorometer?sku=MMA8452Q_I2CS
This Sample code can be used with Raspberry Pi, Arduino, Particle Photon, Beaglebone Black and Onion Omega.
Download and install pi4j library on Raspberry pi. Steps to install pi4j are provided at:
Download (or git pull) the code in pi.
Compile the java program.
$> pi4j MMA8452Q.java
Run the java program.
$> pi4j MMA8452Q
Download and install smbus library on Raspberry pi. Steps to install smbus are provided at:
https://pypi.python.org/pypi/smbus-cffi/0.5.1
Download (or git pull) the code in pi. Run the program.
$> python MMA8452Q.py
Download and install Arduino Software (IDE) on your machine. Steps to install Arduino are provided at:
https://www.arduino.cc/en/Main/Software
Download (or git pull) the code and double click the file to run the program.
Compile and upload the code on Arduino IDE and see the output on Serial Monitor.
Login to your Photon and setup your device according to steps provided at:
https://docs.particle.io/guide/getting-started/connect/photon/
Download (or git pull) the code. Go to online IDE and copy the code.
https://build.particle.io/build/
Verify and flash the code on your Photon. Code output is shown in logs at dashboard:
https://dashboard.particle.io/user/logs
Setup your BeagleBone Black according to steps provided at:
https://beagleboard.org/getting-started
Download (or git pull) the code in Beaglebone Black.
Compile the c program.
$>gcc MMA8452Q.c -o MMA8452Q
Run the c program.
$>./MMA8452Q
Get Started and setting up the Onion Omega according to steps provided at :
https://wiki.onion.io/Get-Started
To install the Python module, run the following commands:
opkg update
opkg install python-light pyOnionI2C
Download (or git pull) the code in Onion Omega. Run the program.
$> python MMA8452Q.py
To download Windows 10 IoT Core, visit Get Started page
https://developer.microsoft.com/en-us/windows/iot/GetStarted
Download (or git pull) the sample, make a copy on your disk and open the project from Visual Studio.
Note: Your IoT Core device and development PC should be connected to same local Network. #####The code output is raw value of acceleration in X, Y and Z Axis.