Some time ago I had a course dealing with image analysis i.e. image segmentation, moments, colour detection, object recognition etc. As part of the course everyone had to make a project that showcased the theory we had been learning throughout the course. We were allowed to use OpenCV as the backbone for accessing the camera etc, but not allowed to use any of the built-in filters. Instead the goal was to implement the different algorithms ourself.
One day one of my friends was playing the Smartphone game ZomBuster. A screenshot of the gameplay can be seen below:
ZomBuster gameplay
The goal of the game is to tap the lane with the zombie in it, in order to kill it. As the zombies are green and humans are blue I thought it would be a fun challenge to build a robot that could play the game autonomously for the course.
This also allowed me to use the 3D printer I had just bought at the time. For that reason I created a 3D model with all the needed components:
I have finally finished my last exams, so now I have more time to focus on some of my own projects. It has been a while since our Kickstarter campaign was successfully funded, but we are still working on making the experience better for the final users.
After the campaign ended we sent out a survey to all our backers with several questions about there address, profession and so on, but we also asked them if they had any suggestions for improvements or extra features they would like to see added to the Balanduino. A lot of people asked if we could enable wireless streaming for it.
I was personally very excited about that since I have been playing with the thought for quite a while, so when the official camera module for the Raspberry Pi became available I bought it straight away.
We have been working with the new Raspberry Pi board for a while but didn’t show it to you guys before now.
Many of you might already have seen and read plenty of videos and articles about it so I thought it would be more appropriate to make a tutorial on how to use the GPIO’s, and especially on how to speed up the GPIO’s.
In this video I walk you thru all the steps from installing the Raspbian image which is based upon Debian. This is by far the most complete and well working image I’ve discovered.
Together with a complete X-window system it also comes with many different developer tools preinstalled such as Python and GCC.
So go watch the video while to set up your own Raspberry Pi for GPIO control.
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