Air pencil images
Inspired by Mili’s Photographs of Picasso’s Light Paintings, Adtile Incorporates its Motion Sensor Technology to Create 3D Art Using an iPhone
Adtile Technologies, a company known for its sensor-enabled Motion Ads, today announced the creation of the Air Pencil, a lightweight Web app that makes it possible to capture free-form motion with an iPhone.
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Adtile’s Air Pencil was inspired by Picasso’s electric light used in Gjon Mili’s legendary photograph series featured in LIFE Magazine in 1949. While Picasso and Mili’s light paintings were in 2D, the Air Pencil lets users capture motion in 3D, as beautiful lines, curves, and shapes. This allows users to literally move through and explore their creations in ways never imagined possible during Picasso’s life.
Air Pencil demo with Nils Forsblom, CEO of Adtile www.adtile.me (PRNewsFoto/Adtile Technologies)
“I created the Air Pencil because I wanted to go back in time and recreate the flashlight and camera technique with an iPhone and see what kind of art could be created,” said Nils Forsblom, founder of Adtile Technologies. “At a basic intrinsic level, art inspires technical innovation–the two are inextricably combined. That is why I believe art is just the first of many ways the Air Pencil will inspire people.”
The Air Pencil’s applications are endless–with particular use in education, art, messaging, and collaboration. For example, the Air Pencil could be used in physics classes to teach students about flight dynamics or how objects move through space. As a collaboration tool, several users can draw independently with different colors and then combine those images on screen. The Air Pencil has a huge potential in the art world, as the images you create can be shown on any size screen.
The Air Pencil is the latest evolution of Adtile’s motion technology that started with its award-winning Motion Ads and Mobile VR, the company’s patent pending software to create VR environments on iPhones without additional headgear or hardware. The Air Pencil taps into an iPhone’s native micro-electro-mechanical systems, calling on sophisticated machine algorithms to reliably infer the precise movements of the user based on sensor data.
