Developing custom made parametric tools for designers, using platforms like Processing with Python. New knitting patterns can be generated based on a gradient map using mathematical functions such as the noise function.

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I used generative knitting to explore the creation of intricate knitting patterns by leveraging algorithmic processes.

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With the Use of industrial knitting machines and digital tools, I was able to generate unique, seamless designs.

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The app integrates traditional knitting patterns with digital tools. A bitmap is used do define patterns, each pixel’s color values determine how the knitting is divided into distinct sections, with value corresponding to a unique knitting pattern. This method creates distinctive transitions, characteristic of digital designs, which are not feasible through manual planning.

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By incorporating these techniques, generative knitting can push the boundaries of traditional fabric design, showcasing the potential of computational methods to create innovative, functional textiles.

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This project was done on a Terrot and Seamless

knitting machines.