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Successful image detection on Raspberian + Mono

A project log for Grigore - Robotics for everybody

Let everyone write and test code, on the same platform, by just having an intelligent line-following table.

strofostrofo 08/17/2015 at 06:160 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.

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