The textile industry can leverage AI-driven innovations to revolutionize its garment production and marketing model.
3D printing has opened up a hitherto unimaginable path for the creation of customizable objects. The improvement of this technology provides a unprecedented capacity manufacturers to design all kinds of accessories and spare parts from automated form and very precise.
This technology is so powerful and with so many possibilities that it is possible to find an application to virtually any industry. MIT researchers are currently working on new software that could revolutionizing the textile industry. It is a support based on artificial intelligence that will allow people to design and customize your own fabrics, no need for any specific knowledge about sewing.
Automatic manufacturing patterns
The CSAIL team has presented the system that can transforming clothing production industrial level. This software works through an algorithm, InverseKnitt, which scans, analyzes and create patterns automatically from photos of woven items. On this basis, he designs a series of instructions that allow machines to manufacture clothes from such patterns.
Traditional sewing instruments
On the other hand, CADKnit it is a design software that allows users to manually create their own models. The proposal of the MIT researchers will contribute to simplify 3D design software thanks to the introduction of some images in 2D no code required. This algorithm implies that inexperienced people will be able to design their own templates with size, shape and details personalize.
Order your own custom garments
The objective of researchers in the medium term is that the technology can be marketable and accessible to the public similar to 3D printing. The software could become a very useful work tool for professional designers when creating new prototypes and patterns. In addition, it could put in the hands of consumers a service through which they can order their own personalized garments.
CSAIL researchers have published the first results of tests that have demonstrated the ability of InverseKnit to produce accurate instructions 94% of the time. Trials with designer CADKnit allowed inexperienced users to make their own gloves with different colors and lace motifs.
