Mine the Scrap
0
28
.00
2015 - Present
Client
Tobias Nolte
Tobias Nolte
Andrew Witt
Andrew Witt
Jason Tucker
Jason Tucker
Cody Glen
Cody Glen
Claire Kuang
Claire Kuang
Simon Epstein / Signal Sound
Simon Epstein / Signal Sound
David Hamm
David Hamm
Marcel Mettelsiefen
Marcel Mettelsiefen
Research
Research

Mine the Scrap is a data driven process that designs new structures algorithmically generated from existing scrap. Using computer vision and construction automation, we address the pressing need to convert waste into resource. The installation allows to experience an algorithm at work.

The project transforms irregular, non-uniform stocks of construction scrap into new forms, using pattern recognition to find beauty and intricacy in neglected waste. Mine the Scrap finds the unique best use of each piece in a new structure through a sophisticated process of scanning and classification.

By combining the logic of the quilt with customized shape and pattern detection used in self-driving cars and face-recognition, Mine the Scrap uses big data to tackle big waste. In effect, it creates a search engine for waste, and then uses this search engine to find the best material solution to design problems. Mine the Scrap not only creates minimum-waste material lifecycles, it also develops a new vocabulary of design that is fundamentally informed by resources.

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