[Part-1] Automation of Home Appliances using Raspberry Pi – Software Installation Guide

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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.

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• 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.

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

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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 commandsOpen the terminal
  window and fire following commands one by one

1 sudo apt-get update
2 sudo apt-get upgrade
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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
  orderOpen the terminal window and fire
  following commands one by one

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• NoteIf 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 versionsFor e.g.

1 sudo apt-cache search ffmpeg

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Step 3 Download OpenCV Source Code and
Install

• Now we have our dependencies installed, lets
  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/OpenCVlibrar
  y/files/OpenCV-unix/2.4.13/OpenCV-2.4.13.zip/downl
  oad
• Uncompress the downloaded source file
• Move into uncompressed directore and create a
  new directory named release inside itRun 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 !

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1 cmake -D CMAKE_BUILD_TYPERELEASE -D CMAKE_INSTALL_PREFIX/usr/local ..
2 make
3 sudo make install
4 sudo idconfig
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• 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.

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• 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

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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
  its 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.

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• 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
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• 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)

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

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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.

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• 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 gt 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.pathpath to generated OpenCV-2.4.13.so JavaCVTest
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• The java code output must be as below
• Congrats! You have a brand new, fresh install of
  OpenCV / JavaCV on your Raspberry Pi. And Im
  sure youre just itching to leverage your
  Raspberry Pi to build some awesome computer
  vision apps.

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• 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, whats 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.

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• Original Source
• http//www.azilen.com/blog/automation-of-home-appl
  iances-using-raspberry-pi-part-1/

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