This simple solution has big ambitions: to develop a far reaching platform giving everybody, not just geeks, the opportunity to experiment with the potential of digital fabrication and environmental sensors. We want the platform to be capable of realizing any project that involves printing, sensors and the environment. If you’re an artist working on the bleeding edge, a serious Maker searching for inspiration for creative mashups, or a father and son (or mother and daughter) looking for interesting weekend projects for the 3d-printer that’s already sitting in your basement , FABMOBs will have a solution for you. We want to make the FABMOBs platform into a robust network that CAN make a difference in the 3Dprinting space.
A FABMOBs rig is a mash-up of hardware, software and network connections enabling the fabrication of an atmosphere. Sensors, 3Dprinters and mobile power sources are connected using open-source Arduino development boards for communication, calculation and control; they are linked at their source, which is why they they play so nicely together. The wireless 4g and proprietary networks that blanket our cities and suburbs, move the data from sensor to printer via an online API. A lightweight, portable solar panel connected to a rechargeable battery, powers the sensor. The Smart Citizen is always capturing and sending data to a server using mobile networks. Pieces of that data are automatically requested by the software that will generate the 3d model, which is used to fabricate an ATMOStag object.
In the context of the FABMOBs|ATMOStag project, we measure the temperature, humidity, ambient light, noise, and levels of carbon monoxide and nitrogen dioxide in any local environment using sensors. This data forms a limited, but useful enough representation of a local atmosphere. We then use it to create a digital model and print the atmosphere’s representation.
To determine the atmosphere of a specific location, we measure the temperature, humidity, ambient light, noise, and levels of carbon monoxide and nitrogen dioxide in any environment using sensors. The data from these continuous captures forms a limited, but useful enough representation of a local atmosphere, and serves to form and inform the design (or generation) of the 3D-model used to print an object. Using our customized 3D-software and Python, we can algorithmically associate formal transformations to an object based on the synthesis of the atmosphere’s qualities (hot, humid, dense, light…) and quantities (how much) based on its captured data. We can then apply these transformations to shape an object’s formal predisposition.