Engin Ayaz
Filipa Tomaz
kimi spencer
Maria Rabinovich

Elevate

Elevate captures real-time crowd circulation patterns from the 4th floor and creates an ambient real-time visualization, projected onto the ceiling of the Ground Floor Lobby.

http://itp.nyu.edu/~ea1095/myblog/itp/highlineelevate-project-final-notes-2/

Classes
Urban Experience in the Network Age


Context:
ITP Show projects are constrained to 4th floor rather than “spilling out” to other parts of the Tisch building. By the same token, the lobby of Tisch building sets the beginning and the end of the visitor experience, and is a key element of the ITP Show.

Elevate leverages the latent potential of this space by creating an ambient installation using projection mapping. This installation can entice both passers-by from the street as well as those waiting for elevators. Conceptually, this project explores creation of responsive spaces using projection mapping, while revealing often unnoticed patterns of circulation, transparency and surveillance in the built environment.

Equipment & Staging Needs:
The necessary components for the project are listed below. Note that Elevate uses small surveillance cameras on the 4th floor and ceiling projection on the 1st floor, thus not presenting itself as an obstruction to the lobby circulation, security or safety on either floor.

4th floor (ITP)
• 2 x IP wireless cameras (AXIS 223M or similar)
• Cameras to be ceiling mounted/suspended at the ITP Lobby and end of Hallway (see
associated for details).

1st floor (Tisch Lobby)
• 2 x wide-angle projectors
• 2 x production laptop w/ MadMapper software installed or software installed on one of our computers

Technical Details:

• Input: Networked video input stream from 4th floor, using AXIS 223M cameras. The cameras will be located to capture people coming in/out of 4th floor elevator as well as those moving along the hallway.

• Algorithm: Blob detection is used to capture crowd movement, which then informs a visualization of crowd movement, in form of slightly abstracted footsteps.

• Output: The processing sketches are sent to MadMapper projection mapping software using Syphon. Within MadMapper, the visualizations are calibrated to the contours of the First Floor Lobby ceiling.


Background
During our research of the highline site, we spent a lot of time on location studying the difference between two spaces separated by the divider of the highline. The proposal and the piece itself is an extension of this research. We are interested in what providing this data will do. In the lobby-fourth floor iteration, we want to study how it will be perceived, and how it will change the journey to the fourth floor. The divider in this iteration are the two floors between the lobby and the 4th floor. Traveling over this divider is a very common experience for all of us, so it is the perfect place to iterate the concept and learn from the experience.

Audience
Anybody who uses the lobby. A lot of these people will be a welcoming audience, looking for ITP projects, but we are also thinking about people who use the space for other reasons, and their experience of the project as it is a part of that space.


User Scenario
A person enters the building and notices the ceiling projection immediately or while he/she is waiting for the elevator. Because the visualization coincides with the light-up floor indicator numbers above the elevator, the viewer knows that the people arrive to the visualization when the elevator reaches the fourth floor. This is an indicator of where the information is coming from and what it is, as the viewer can see people moving in and out of the elevators when the number four is lit up. While waiting for the elevator the person will continue to observe the movement of people above, and wonder why they are moving and /or stopping in the patterns that they are seeing. It will feel curious, voyeuristic, and inviting. At the same time, it is meant to reconfigure the sense of space within the building and quiet any anxiety about entering the unknown.

Implementation
We have two ceiling mounted networked cameras tracking movement on the fourth floor. In the lobby, our computer turns that data into a visualization in processing, and using madmapper sends it out through two projectors, mapping it to the contours of the lobby ceiling..

Conclusion
We want the user to have a new experience of a sometimes familiar place, a feeling that we intend to be magical. For us, it will also be magical, but informative. This is an iteration of a concept that we employ as a form of research about urban space, networked urbanity, and psychology of space. We want to discover what revealing this information does to the space. We want to learn about the traffic patterns we are projecting, and the best way to represent them in the space.