Research collective uses 3D-scanning to reduce fabric waste
We’re constantly looking for innovative ways to improve the Springwise experience, and so we’re now introducing BeeLine Reader, a new technology that helps you read more quickly and efficiently. To learn more about BeeLine Reader, an award-winning startup funded by Intel Capital, see BeeLineReader.com.
Spotted: Research collective Synflux has come up with a way to reduce fabric waste by creating clothes that fit a person’s body perfectly. The Algorithimic Couture project uses 3D-scanning to determine the measurements and then runs machine-learning algorithms to find the optimum design pattern, bringing fabric waste to zero. Synflux is a collaboration between fashion designer Kazuya Kawasaki, design engineer Kye Shimizu, designer Kotaro Sano and machine learning engineer Yusuke Fujihira. The team claims that current fashion design practices waste 15 percent of the fabric used while providing customers with poorly-fitting clothing. “I have used code to eliminate waste and make fashion sustainable,” Shimizu told Twyg. The project…
Spotted another good idea???
Join our network and earn rewards