[Part 1] automation of home appliances using raspberry pi – software installation guide

Intro
At Azilen, we believe in creating smart solutions for an interconnected and
intelligent world. With emergence of IoT we try to achieve advanced connectivity
and ensure efficiency through connected devices and network sensors.
Our recent work on the automation of home appliances through gesture
recognition is one such example where we aim to control and automate home
appliances such as air conditioners and televisions. We have achieved gesture
recognition for implementing functionality like Turning On-Off, Increasing and
decreasing the temperature for Air-conditioner and Turning On-Off for Television.

Through an extensive research, our team explored various feasible options for
selecting the right platform and suitable libraries to make real time computer vision
possible for gesture recognition. From Omega ,Chip, Aurduino ,Raspberry Pi
amongst the platform and from BoofCV, OpenIMAJ, MATLAB, OpenCV and JavaCV
among the libraries, the team selected Raspberry Pi and leading open source library
”Open CV” and its java port “JavaCV” as the right platform to make computer vision
and image processing possible.
The library has more than 2500 optimized algorithms, which includes a
comprehensive set of both classic and state-of-the-art computer vision and
machine learning algorithms. These algorithms can be used to detect and recognize
faces, identify objects, classify human actions in videos, track camera movements,
track moving objects, etc.
This blog talks about the complete step by step guide to setup OpenCV and JavaCV
on Raspberry Pi.

Step by Step Guide to Setup OpenCV and JavaCV on
Raspberry Pi

Note:
We assume that you have pre-installed latest Raspbian operating system on
your Raspberry-Pi. If not please follow this link to install latest Raspbian on
your Raspberry-Pi.
https://www.raspberrypi.org/downloads/noobs/

Installation Guide: Step-1: Update Raspbian
Please follow below steps to setup OpenCV and JavaCV on Raspberry Pi
Step-1: Update Raspbian
At the start you need compiler tools so update and upgrade the Raspberry Pi
(Raspbian Linux) with latest available packages
Get all the compiler tools and video libraries using the below commands:
Open the terminal window and fire following commands one by one
1 sudo apt-get update
2 sudo apt-get upgrade

Step-2: Install Dependencies
– Open CV requires few external dependencies for it to be able to run,
therefore you need to install all the required dependencies in the following
order:
Open the terminal window and fire following commands one by one

Note:
If some of the libraries fail to download, then try to look for a different
version of the library using apt-cache search as some of these libraries are not
in Raspbian repository anymore or are available with newer versions
For e.g. :
1 sudo apt-cache search ffmpeg

Step 3: Download OpenCV Source Code and Install
Now we have our dependencies installed, let’s grab the OpenCV archive version
2.4.13 from the official OpenCV repository.
(Note: As future versions of OpenCV are released, you can replace 3.1.0, 3.2.0
with the latest version number, but this guide is focused around version 2.4.13).
wget https://sourceforge.net/projects/OpenCVlibrary/files/OpenCV-
unix/2.4.13/OpenCV-2.4.13.zip/download
Uncompress the downloaded source file
Move into uncompressed directore and create a new directory named “release”
inside it
Run below commands to configure, compile and install OpenCV.Please note
that compilation will take approximately 4-5 hours, so grab yourself a nice pizza
and relax !

1 cmake -D CMAKE_BUILD_TYPE=RELEASE -D
CMAKE_INSTALL_PREFIX=/usr/local ..
2 make
3 sudo make install
4 sudo idconfig

After cmake is done successfully, the jar file will be under release/bin/ and
release/lib/ folder. Since we build version 2.4.13, the generated file will be
named OpenCV-2413.jar and libOpenCV_java.so.
Both generated files will required in build path for any java based project with
OpenCV. While libOpenCV_java.so is required for any C/C++ based project
with OpenCV.

Note: If you get any Linker error or java.library.path issue ,you need to
provide path for generated OpenCV jar file with java -jar cmd. using –
Djava.library.path= ‘path to OpenCV libs’ or you can export
LD_LIBRARY_PATH system variable with lib path. you can also add export
command to .bashcr file as well

Step 4 : Compile JavaCV / javaCPP
Now that we have compiled and installed OpenCV 2.4.13 on our Raspberry
Pi, we can compile and install JavaCV and JavaCPP on Raspberry Pi. In order
to do that, you need to have Java, Maven and Git installed on the Raspberry
Pi.
The compilation of JavaCV and javaCPP does not run with all versions of Java
(such as Oracle JDK 8). It runs correctly with OpenJDK 7 which needs to be
installed temporarily for this purpose if it’s not already installed. There might
be multiple versions of Java installed. It needs to be ensured that OpenJDK 7
is the default selected Java version. Please run following commands on your
terminal window to install OpenJDK.

Install OpenJDK 7 and select OpenJDK 7 as default Java version:
1 sudo apt-get install openjdk-7-jdk
2 sudo update-alternatives --config java
3 sudo update-alternatives --config javac

For JavaCV / javaCPP Maven is needed. The source will be downloaded using
Git.
Once the source is downloded reset the sources to the old version 0.7 of
JavaCV and javaCPP as they are the recent working ones for our purpose. Two
modifications to the source files need to be performed to run on the
Raspberry Pi and these will be done with a sed command. Afterwards the
compilation can be started.
Run the following commands in terminal window: (Follow steps in order)

And that’s it. You have successfully installed JavaCV/JavaCPP on Raspberry Pi.
Next step is to verify your installation.

Step 5: Testing your OpenCV / JavaCV Installation
Open your favorite editor on Raspberry Pi (VI/NANO/PageLeaf).
Create a new java file as shown below and save the file.

• Note: Raspbian ships latest Oracle JDK version with it. Please use
command ‘whereis java’ to find out the location of the Oracle JDK and
make it default java version now onwards.
Now compile this file using Oracle JDK version >= 7. Type following
commands into your terminal to compile and run this java code.
1 javac –cp ‘path to generated JavaCV-2.4.13.jar’
JavaCVTest.java
2 java –cp ‘path to generated JavaCV-2.4.13.jar’ –
Djava.library.path=’path to generated OpenCV-2.4.13.so’
JavaCVTest

The java code output must be as below:
Congrats! You have a brand new, fresh install of OpenCV / JavaCV on your
Raspberry Pi. And I’m sure you’re just itching to leverage your Raspberry Pi to
build some awesome computer vision apps.

Conclusion
Our comprehensive approach can help implement various IoT solutions such
as color detection, face recognition system, motion tracking, Object
identification and Mobile robotics.
So, what’s next?
In our upcoming blog we aim to write about complete guide for automating
air conditioner and television appliances for implementing features through
gesture recognition.

Original Source :
http://www.azilen.com/blog/automation-of-home-appliances-using-
raspberry-pi-part-1/

Thanks You
www.azilen.com
Let us know if you have any Question!
info@azilen.com | +1-972-325-2243

[Part 1] automation of home appliances using raspberry pi – software installation guide

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[Part 1] automation of home appliances using raspberry pi – software installation guide