Clothes Make the Man…But Can Computers Make the Clothes?

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    The old adage ‘clothes make the man’ has never been truer than in today’s fashion-conscious world. From Armani to Tommy and back, fashion is at an all-time high. But, traditionally, while clothes may have made the man, the man had to make the clothes first. However, with new technological advances, artificial intelligence textile manufacturing is becoming a reality.

    Artificial intelligence, the use of computer learning to produce new and often far superior processes, has created a whole new sphere of possibility among many industries. Of particular note among these industries is the use of artificial intelligence textile manufacturing.

    The primary means of using artificial intelligence textile manufacturing is for defect prevention. Most garments are currently inspected by hand, a laborious and sensitive process, which often requires multiple employees, and has a substantial error factor. While human workers can process garments relatively quickly, the potential for distraction, boredom, and missed flaws is constant.

    However, with artificial intelligence, companies would be able to streamline the garment inspection process, removing the risk of human error, and guaranteeing a well-inspected product. Further, the labor costs for quality control would drop dramatically with artificial intelligence textile manufacturing.

    Additionally, using artificial intelligence textile manufacturing to produce color perfection is also fast becoming a reality. By matching digital colors, and using computer vision, companies are able to guarantee color patterns and color matching with almost zero error.

    Further, companies could use the data being generated by the textile manufacturing process to determine the best ways to combine fabrics, stitching patterns, and human work hours in order to produce better products. Knowing and being able to analyze the huge amounts of raw data within the context of product creation and supply would allow manufacturers the ability to produce only those products that have lowest flaw ratios with highest quality. By using artificial intelligence textile manufacturing, fiber count, fabric choice and combination, and modeling for future production would all be streamlined, and ultimately helped.

    Moving forward, the artificial intelligence textile manufacturing world remains in a nascent stage at best. Much work needs to be done in order to link the data creation models with systems that are able to process that data and generate meaningful and useful results for manufacturers to help create better manufacturing tools overall.

    With the technology continuing to make headway into better and more useful application systems, artificial intelligence will likely continue to provide new and better solutions for textile work. By producing better fabrics, limiting human error, and replacing current costly labor choices, artificial intelligence textile manufacturing will continue to move into the textile industry. While ‘clothes make the man’ will likely be a timeless reality, the day may be fast approaching when man will no longer make the clothes.

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