[Video Link] A robot that paints water colors is super. A car that generates dozens of data streams is awesome. When you connect the two, as Joe Grand, Ben Krasnow, "Super-Awesome" Sylvia, and TechNinja did at our Boing Boing Ingenuity: Data Driven hack day held on August 17, 2013, the result is super awesome. It's no surprise that this 3-man, 1-girl team took home our Grand Prize "Best Use of Ford OpenXC" award. The prize: a brand new Replicator 2 desktop 3D printer, courtesy of our friends at MakerBot.
The hack, called the OpenXC Van Go, used Ford's OpenXC platform to collect steering wheel, accelerator, and brake data, which controlled the paintbrush on "Super-Awesome" Sylvia's WaterColorBot. The paint color was selected using the transmission gear position. As the team said, "colorful maps will come to life based on a driver's real world automobile interactions."
In the video below, Xeni interviews "Super Awesome" Sylvia and a young maker named Lux about the WaterColorBot.
In the coming days, we'll post videos of the other Data Driven award winners.
(Here's an overview of everything that happened at our first-ever hack day, which was held on the first day of Boing Boing: Ingenuity, a two-day extravaganza of art, science and creativity.)
Boing Boing: Ingenuity in partnership with Ford C-Max.
The next installment in the SFinSF reading series features Kim Stanley Robinson, Howard Hendrix, and Cecelia Holland; it's this Sunday, Jan 20, doors at 6, event at 6:30, $10 (no one turned away for lack of funds), at the The American Bookbinders Museum (355 Clementina).
On March 19, Tor Books will release my next book, Radicalized, whose four novellas are the angry, hopeful stories I wrote as part of my attempt to make sense of life in our current moment.
My most recent essay film, Visual Disturbances, premiered in the open access journal [in]Transition yesterday. This open access journal features peer reviewed academic video essays and showcases a wide variety of film and media analysis. Visual Disturbances uses some cutting-edge eye tracking visualizations to explore how film audiences both perceive and mis-perceive movies.
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