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Universitat Politècnica de València

Artificial Vision for Textile quality control

Universitat Politècnica de València via Coursera

Overview

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Quality control is a key requirement in the industrial production of textiles. This can be carried out manually through visual inspection or automatically using computer vision technologies. The higher the level of automation, the greater the percentage of production that can be effectively monitored. Artificial vision enables faster inspection and makes it possible to examine the entire output with consistent performance and reliability. This course is designed for professionals in the textile industry who are interested in learning about emerging technologies and increasing their competitive advantage by adding value to their products. Participants will strengthen their technical profile, improve their employability, and enhance their professional capabilities. The course begins with an introductory overview and presents the most frequent textile defects that can be detected through artificial vision. It also explains the configuration of vision systems and the procedures required to inspect textile fabrics automatically.

Syllabus

  • Introduction to woven fabrics
  • Major defects in woven fabrics
  • Introduction to the most advanced technologies for quality control: artificial vision
  • Using artificial vision for woven fabrics defect detection
  • Final Exam

Taught by

Marilés Bonet-Aracil, Eva Bou Belda, and Pablo Díaz García

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