San Francisco
Seattle
San Francisco
Seattle
Connections is an multiuser interactive installation that uses a mobile web application as a collaboration tool. The system uses various nodes to accomplish this. The mobile application is the input method. A computer with a projector and arduino control the output. A server processes and syncs all communication between the computer, arduino, and mobile application.
Goal
This project is to highlight the importance of peoples connections. We emit alot of noise in the world, but at at some point we make that connection with someone that drowns out the rest of it.
Here is the working display. The selects 2 bottom squares.
How it works?
The user visits a website. They will be greeted with this application.
There they select a color the represents them, followed by selecting a block that will start emitting connection particles. Simultaneously a block (of the same color) will appear in the center “arena”. This is a worm hole for particles. So, if you create a red emitter you create a red collector. Particles have strong rules that attract them to the worm holes. The particles can only make connections once they are in the center “arena”. When particles start emitting they will have there own sound. Finally, at some point 2 different particles will make a connection. Once particles make a connection their combined tone will drown out the rest of the emitting particles.

This the first fitting of the blocks on the foam

Rune making the connections for the LED blocks
Testing the interfacing between the computer and led blocks
Running the web app with projection display
Next Steps
Issues
For Understand Networks, we had to run a traceroute on 24 sites. I did it located in Miami and New York. I wrote a python parser that takes in a large text file with all of the traceroutes and sorts what IPs were hit the most. I ran the traceroute on windows with this command tracert thensite.com >>master.txt. The >> appends to the end of an existing file. One thing I noticed with these maps is that most of my traffic was routed through the same IPs.
This is the site I used to make the map.
http://www.topwebhosts.org/tools/ip-locator.php
This is the output from the parser