Through a Machine Lens: Case Studies of Computer Vision and Machine Learning in Design Methodology
Through a Machine Lens: Case Studies of Computer Vision and Machine Learning in Design Methodology

Summary/Abstract: Machine vision (MV) and artificial intelligence (AI) offer strange new augmentationsand transformations of how architects perceive and conceptualise boththe creation of buildings and the analysis of existing architecture. Seeing throughmachinic eyes allows architects to amplify their intuitions and engage in a floodof digitally sensed imagery in more quantifiable and extensible ways. Through a seriesof case studies of projects developed through the design office Certain Measures,this article argues for the potential of machine vision and artificial intelligencein the creative practice of design while situating these new developments in the historyof mathematical ways of seeing and conceptualising architecture. These casestudies, across large and small scales, combine ideas from human and machineperception and mathematical geometry to create new architectural approaches.

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