Paranoid Shelter - [Implementation Code]

nospam@example.com (Christian Babski) — Thu, 12 Apr 2012 17:22:00 +0000

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Paranoid Shelter is a recent installation / architectural device that fabric | ch finalized later in 2011 after a 6 months residency at the EPFL-ECAL Lab in Renens (Switzerland). It was realized with the support of Pro Helvetia, the OFC, the City of Lausanne and the State of Vaud. It was initiated and first presented as sketches back in 2008 (!), in the context of a colloquium about surveillance at the Palais de Tokyo in Paris.

Being created in the context of a theatrical collaboration with french writer and essayist Eric Sadin around his books about contemporary surveillance (Surveillance globale and Globale paranoïa --both published back in 2009--), Paranoid Shelter revisits the old figure/myth of the architectural shelter, articulated by the use of surveillance technologies as building blocks.

Additionnal information on the overall project can be found through the two following links:

Paranoid Shelter - (Globale Surveillance)

(Paranoid Shelter) - Globale Surveillance

A compressed preview and short of the play by NOhista.

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On the first technical drawings and sketches of the Paranoid Shelter project, the entire system was just looking like a (big) mess of wires, sensors and video cameras, all concentrated on a pretty tiny space where humans will have difficulties to move in. The entire space is consciously organised around tracking methods/systems, the space being delimited by 3 [augmented] posts which host a set of sensors, video cameras and microphones. It includes networked [power over ethernet] video cameras, microphones and a set of wireless ambient sensors (giving the ability of measuring temperature, O2 and CO2 gaz concentration, current atmospheric pressure, light, etc...).

Based on a real-time analysis of major sensors hardware, the system is able to control DMX lights, a set of two displays (one LCD screen and one projector) and to produce sound through a dynamically generated text to speech process.

All programs were developed using openFrameworks enhanced by a set of dedicated in-house C++ libraries in order to be able to capture networked camera video flow, control any DMX compatible piece of hardware and collect wireless Libelum sensor's data. Sound analysis programs, LCD display program and the main program are all connected to each other via a local network. The main program is in charge of collecting other program's data, performing the global analysis of the system's activity, recording system's raw information to a database and controlling system's [re]actions (lights, display).

The overall system can act in an [autonomous] way by controlling the entire installation behavior while it can also be remotely controlled when used on stage, in the context of a theater play.

Collecting all sensor's flows is one of the basic task. Cameras are used to track movements, microphones measure sound activity and sensors collect a set of ambient parameters. Even if data capture consists in some basic network based tasks, it is easily raised to upper complexity level when each data collection should occur simultaneously, in real-time, [without,with] a [limited,acceptable] delay. Major raw data analysis have to occur directly after data acquisition in order to minimize the time-shift in the system's space awareness. This first level of data analysis brings out mainly frequencies information, quantity of activity and 2D location tracking (from the point of view of each camera). Every single piece of raw information is systematically recorded in a dedicated database : it reduces system's memory footprint (by keeping it almost constant) without loosing any activity information. From time to time the system can access these recorded information in its post-analysis process, when required, mainly to add a time-scale dimension on the global activity that occurred in the monitored space. Time isolated information can be interpreted in a rough and basic way, while time composition of the same information or a set of information may bring additional meanings by verifying information consistency over time (of course, it could be in a negative or a positive way, by confirming or refuting a first level deduced activity information). Another level of analysis can be reached by taking in account the spacial distribution of sensors in the overall installation. The system is then able to compute 3D information getting an awareness of activities within the space it is monitoring. It generates a second level of data analysis, spatialised, that will increase the global understanding of captured data by the system.

Recorded activities are made available to the [audience,visitors] through a wifi access point. Networked cameras can be accessed in real time, giving the ability to humans to see some of the system's [inputs]. Thus, network activity is also monitored as another sign of human presence, the system can then [detect] activity elsewhere than in its dedicated space.

Whatever how numerous are collected data, the system faces a real problem when it comes to the interpretation of these data while not having benefit of a human brain. Events that are quite obvious to humans, do not mean anything to computers and softwares. In order to avoid the use of some artificial neural networks simulation (which may still be a good option to explore), I have decided to compute a limited set of parameters, all based on previously analysed data, only computed lately when the system may decide to react to perceived activities. It defines a kind of global [mood] of the system, based on which it will [decide] whether to be aggressive (from a human point of view) by making the global tracking activity [noticeable] by humans evolving in the installation's space, or by focusing tracking sensors on a given area or by trying to enhance some sensor's information analysis, whether to settle in a kind of silent mode.

Moreover, the evolution of these parameters are also studied in time, making the [mood] evolving in a human way, increasing and decreasing [analogically]. System's [mood] may be wrong or [unjustified,weird] from a human point of view, but that's where [multi-dimensional] software becomes interesting. Beyond a certain complexity, by adding computation layers on top of each over, having written every single line of code does not allow the programmer to predict precisely what next system's [re]action will be.

We did reach here monitoring system limitations which is obviously [interpretation,comprehension]. As long as automatic system can not correctly [understand] data, humans will need to be in the loop, making all these monitoring systems quite useless [as expert system], except for producing an enormous quantity of data that still need to be post-analysed by a human brain. As the system is producing an important set of heteregeneous data, a set of rules may suggest to the system some sort of data correlation. These rules should not be too [tights,precises] in order to avoid producing obvious system's interpretation, while keeping them slightly [out of focus] may allow [smart,astonishing] conclusion being produced. So there's rooms here for additional implementation of the data analysis processes that can still completely change the way the entire installation [can,may] behave.

World's first 'printed' plane snaps together and flies

nospam@example.com (Christian Babski) — Mon, 01 Aug 2011 10:20:33 +0000

Via CNET

By Eric Mach

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English engineers have produced what is believed to be the world's first printed plane. I'm not talking a nice artsy lithograph of the Wright Bros. first flight. This is a complete, flyable aircraft spit out of a 3D printer.

The SULSA began life in something like an inkjet and wound up in the air. (Credit: University of Southhampton)

The SULSA (Southampton University Laser Sintered Aircraft) is an unmanned air vehicle that emerged, layer by layer, from a nylon laser sintering machine that can fabricate plastic or metal objects. In the case of the SULSA, the wings, access hatches, and the rest of the structure of the plane were all printed.

As if that weren't awesome enough, the entire thing snaps together in minutes, no tools or fasteners required. The electric plane has a wingspan of just under 7 feet and a top speed of 100 mph.

Jim Scanlon, one of the project leads at the University of Southhampton, explains in a statement that the technology allows for products to go from conception to reality much quicker and more cheaply.

"The flexibility of the laser-sintering process allows the design team to revisit historical techniques and ideas that would have been prohibitively expensive using conventional manufacturing," Scanlon says. "One of these ideas involves the use of a Geodetic structure... This form of structure is very stiff and lightweight, but very complex. If it was manufactured conventionally it would require a large number of individually tailored parts that would have to be bonded or fastened at great expense."

So apparently when it comes to 3D printing, the sky is no longer the limit. Let's just make sure someone double-checks the toner levels before we start printing the next international space station.

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Personal comments:

Industrial production tools back to people?

Digital Fabricator

Fab@Home project

Computed·Blg - Physical computing

Paranoid Shelter - [Implementation Code]

World's first 'printed' plane snaps together and flies