Christopher Baker wrote a piece of software last year using openFrameworks that can be used for some real-time, large-scale, architecturally-integrated, performance. It’s designed to be used with three projectors and mixes in some Box2d physics and OpenCV for “automatic” obstacle detection. The software auto detects skewed projections and adjusts keystone thanks to the camera positioned to observe the projections. In addition it can detect building windows, openings, for real-time dynamics.  It’s a more sophisticated version of the Processing software that ran Urban Echo (vimeo.com/468417 ) See movie below for demo.

Software has been created by uniting various examples from OpenFrameworks forums.

Christopher Baker is an artist whose work engages the rich collection of social, technological and ideological networks present in the urban landscape.

See also Murmur Study // 5 Twitter Art Projects