It is definitely exciting to be living in the age of the internet, where we can make a bigger impact and also reach out to a bigger audience than we ever could. I really love the idea of the open source being a “mode of technological production that is collectively authored or manufactured and distributed without profit, or limited profit-sharing according to specific guidelines, such as those laid out by the Open Source Initiative” .
Personally I love the idea of sharing and it is amazing what people of the internet can do together. I think it’s great as a source of inspiration (and FUN!) for a lot of people. I am currently learning Arduino now and I am SO THANKFUL that it is OPEN SOURCED!
This was something that we did with a code that was freely shared on the internet. I don’t think that I will be able to do this without open source.
If video is not working, it can be accessed here “https://instagram.com/p/6h12AnJePf/?taken-by=revivalblessings”
Then of course I do understand that there are copyright laws on the internet and that not everyone wants to share their work with one another in a way that is “open sourced” . But I am definitely glad that there are still people who see the benefits of open source and see how all of us are part of a bigger picture.
Here’s our emulation attempt at letting people draw on their screens – temporarily. The patch is included in the last part of the video.
Our inspiration came from :
The video documents an Interactive Art Installation by students studying Medialogy in Aalborg University. In this course, students study the technology behind design in film, games and animation. They used a color tracking patch to create a little interaction where users can shoot particles and interact with them.
We emulated the color tracking example in the video for our project, and built on it. Instead of having users shoot particles, we used the color tracker to enable them to draw on the screen with any bright object within reach.
By adjusting the tolerance level and selecting a color, one can draw over their screen using any object with a high contrast color.
This is an example:
We pulled the tracked object’s coordinates from jit.findbounds and produced the drawing effect in jit.lcd. We blended the two matrices with jit.alphablend.
We tried various objects before settling on a light. Preliminary trials revealed that lighting played a big role in how well the tracker was able to detect the object. After experiments with everything from a water bottle to eyelash glue, we found that an object with a light source produced the most stable results.