BFD uses AI to identify and capture the necessary manufacturing attributes of a knit fabric image in order to 1) provide instructions for machine set-up, 2) enable a multi-attribute search function, and 3) provide a standard definition for each unique construction. The output identifies the Stitch ID’s, Stitch Pattern Repeat, CPI, WPI, and yarn diameter. Other parameters can be derived or calculated from those attributes.
Thus, the fabric development process is slow and difficult. It is like playing “Twenty Questions” through the exchange of many samples between the mill and designer in an effort to guess what is wanted.
Whereas a fabric inspirational sample allows the design process to begin, a manufacturing specification allows the production process to begin. BlackOPS™ accelerates the move from inspiration to specification.
A successful fabric solution – that is, one that achieves widespread industry adoption – must meet the needs of both the brands and mills alike. Data gathered through digitization must be transformed to add value to those who adopt the model.