Difference between revisions of "Current: A Platform for Urban Archive"
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| + | The quality of our built environment is often assessed through records in architectural archives. Yet, traditional architectural archives do not include records of occupants and events but only drawings and models of buildings, which does not give a comprehensive overview of the qualities and impacts of the design. Livestream data from media platforms often consist of information about our built environment and its events. How can architects utilise livestream data to archive, reconstruct and preserve moments of our built environment in real-time to support future architectural research and studies? | ||
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| + | Provoked by related institutional works, ‘Current’ focuses on democratising reconstruction techniques to facilitate a collective contribution to urban archives. Instead of using high end technologies and softwares that are only available to institutions and corporates, ‘Current’ tested a number of low-end sensors (i.e. mobile phones, Kinect, etc.), open-sourced AI algorithms and photogrammetry frameworks that are readily available to any architects or individuals for environment/event reconstruction. The aim is to formulate a platform that allows individuals to collectively gather and process data. ‘Current’ records the workflow and the final pipeline used to produce the 12-min prototype of the urban reconstruction. | ||
=Keywords= | =Keywords= | ||
Revision as of 19:26, 2 October 2020
DC I/O 2020 proceeding by by PROVIDES NG, ELI JOTEVA, YA NZI.
Contents
Abstract
The quality of our built environment is often assessed through records in architectural archives. Yet, traditional architectural archives do not include records of occupants and events but only drawings and models of buildings, which does not give a comprehensive overview of the qualities and impacts of the design. Livestream data from media platforms often consist of information about our built environment and its events. How can architects utilise livestream data to archive, reconstruct and preserve moments of our built environment in real-time to support future architectural research and studies?
Provoked by related institutional works, ‘Current’ focuses on democratising reconstruction techniques to facilitate a collective contribution to urban archives. Instead of using high end technologies and softwares that are only available to institutions and corporates, ‘Current’ tested a number of low-end sensors (i.e. mobile phones, Kinect, etc.), open-sourced AI algorithms and photogrammetry frameworks that are readily available to any architects or individuals for environment/event reconstruction. The aim is to formulate a platform that allows individuals to collectively gather and process data. ‘Current’ records the workflow and the final pipeline used to produce the 12-min prototype of the urban reconstruction.
