Algorithmic Couture is a digital system that can reduce waste through artificial intelligence and traditional Japanese straight cut patterns. It is created by Synflux, a research collective focused on design research and fashion design.
Conventionally, the use of curve pattern cutting on square fabrics have been the main focus for the creativity of fashion designers, also based on the will to adhere to the dimensional body types of the customers. But as a result, 15% of the fabric is wasted.
This team is utilizing machine learning algorithms to generate optimized fashion patterns, also based on body size and customizable design parameters. The optimized pattern cutting techniques that are generated are comprised of rectangles and straight lines, allowing for optimization of the fabric usage. The innovation also aims to make production more effective by using this pattern technology on demand, rather than creating a mass amount of stock. Thanks to this system, waste as well as energy usage can be substantially reduced.
“For the past 70 years, we have been accustomed to coping with the standardized system in fashion that normalizes our bodies into different categories. But by utilizing 3D scanning technology alongside CAD software, we are able to optimize garments to the unique body types of the user, independent from the prêt-à-porter system.” says Kazuya Kawasaki from Synflux.
Early Bird is the best entry from the pool of entries submitted in the first half of the application period. This team does not receive a grant but gets the opportunity to attend the Innovation Accelerator week in New York, happening this week.
Behind Algorithmic Couture is a Japanese team consisting of Kazuya Kawasaki, Kotaro Sano, Kye Shimizu and Yusuke Fujihira.