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PerfectStitchAI: Automated Fabric Inspection

  • Jyoti Bagate,
  • Aditya Naresh,
  • Vandesh Sawant,
  • Aditya Sharma,
  • Mitlesh Shinde

摘要

The textile industry is a vital pillar of global manufacturing, supplying a diverse range of fabrics for various applications. Manufacturers place utmost importance on fabric quality, as defects can result in substantial financial losses and diminish customer satisfaction. Traditionally, identifying fabric defects has been a labor-intensive and manual process, reliant on human visual acuity, which is susceptible to errors and subjectivity. Conventional fabric defect detection heavily relies on human visual inspection, where skilled workers meticulously examine fabric surfaces for imperfections. However, this approach is time-consuming and prone to human errors, depending on the individual’s expertise and attentiveness. In response to these challenges, the textile industry is actively exploring innovative solutions to enhance fabric defect detection and quality assurance. Advancements in technology, especially in artificial intelligence and computer vision, are poised to revolutionize the sector by providing more accurate, efficient, and objective fabric inspection methods. These emerging technologies have the potential to significantly reduce inspection time, enhance defect detection accuracy, and ultimately elevate the overall quality control process.