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• Generated image vs Processed image

  strofo • 08/17/2015 at 07:16 • 0 comments

  On the left is the generated image, on the right the processed image. Everything looks ok! So there must be something wrong inside the edges processing algorithm.
  

• Successful image detection on Raspberian + Mono

  strofo • 08/17/2015 at 06:16 • 0 comments

  Here is the corresponding repository containing everything to make this project work:

  https://github.com/strofos/grigore/tree/master/SOFTWARE - Board/Test02 - Detection using AForge Mono

  After downloading it, we must compile it. Just navigate to the folder "Test02 - Detection using AForge Mono" and run the "xbuild" command:

  root@raspberrypi:/grigore/Test02 - Detection using AForge Mono# xbuild

  
  

  It will start compiling the hole solution, project by project:

  and notify you when it completes:

  Unfortunately I am not that familiar with Linux so I didn't set the lines to move the generated libraries.

  So we have to manually move "AForge.dll", "AForge.xml", "AForge.Imaging.dll", "AForge.Imaging.xml", "AForge.Math.dll", "AForge.Math.xml" to the "GrigoreDetectionConsole\bin\Debug" folder.

  Each library can be found in its project folder, inside [Project]\bin\Debug

  Now we can run this test:

  root@raspberrypi:/grigore/Test02 - Detection using AForge Mono/GrigoreDetectionConsole/bin/Debug# mono GrigoreDetectionConsole.exe

  and will get a response like this:

  As you can see the code runs, but the detected position is not quite what it should be. I will output the difference image and edges to debug it.

  I also added a Windows project that does this in real time but unfortunately I can not run the X Server in remote, so I can't use it for the moment.

  The detection duration is half a second, which is great for this project.
  

  This was still a success, so soon I'll be starting to write the main code.
  

• Raspberian, PiCam and Mono instalation

  strofo • 08/14/2015 at 05:50 • 0 comments

  Install Raspberian
  First boot: resize to max size of SD card. Enable camera support
  Login: pi/raspberry
  
  Change super pass to "pi"
  sudo passwd
  # introduce new password

  Enable camera in RPi configuration

  Enable camera in condif
  raspi-config
  Enable camera ..
  
  

  Check camera configuration

  Login as super and take a snapshot: http://www.raspberrypi.org/documentation/usage/camera/raspicam/raspistill.md
  DATE=$(date +"%Y-%m-%d_%H%M")
  raspistill -vf -hf -o /home/pi/camera/$DATE.jpg

  Install mono
  apt-get update
  apt-get install mono-runtime
  apt-get install mono-complete
  
  

  Check if is Mono was installed correctly
  Create a file named "HelloWorld.cs" and write the following code inside

  #####
  using System;
  
  public class HelloWorld
  {
  public static void Main()
  {
  Console.WriteLine("Hello World!");
  }
  }
  #####
  Compile and run it
  gmcs HelloWorld.cs
  mono HelloWorld.exe

• Detection test failed in Windows 10 IoT due to missing System.Drawing

  strofo • 08/06/2015 at 06:06 • 0 comments

  Unfortunately Windows 10 IoT is lacking the namespace System.Drawing so any code that uses Image or Bitmap objects will not compile. I was looking forward to have the project on Windows but, as Mono has this functionality, the next step is to reinstall Raspberrian + Mono and give it a try there. I also have to recompile the AForge code over Mono.

• First detection tests, powered by AForge

  strofo • 07/23/2015 at 08:26 • 0 comments

  I love the AForge framework from Andrew Kirillov so it made sense to use it because Microsoft just released the Raspberry Pi support in Visual Studio C#.

  Right now I am still in doubt weather I will use Mono or .Net but is clear to me that I will use C# instead of Python. I can use some advices and feedback on this matter.

  The code just makes a difference filter between an original empty board image:

  and an image containing the robot (made using GIMP):

  and returns an image containing the resulted edges:

  Code can be found here:
  

  https://github.com/strofos/grigore/tree/master/SOFTWARE - Board/Test01 - Detection using AForge

• First step

  strofo • 07/01/2015 at 07:52 • 0 comments

  First I mounted an Arduino on the Magician chassis and a breadboard. On the breadboard I added the L298 driver and wrote some code to drive the robot over the serial.

  Next use RPi to control the Arduino to some desired position by tracking Grigore's position.
  

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