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.

Artificial Vision for Textile quality control

Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Modern quality control methods.
Use of artificial vision in textile inspection.
Fundamentals of computer vision applied to fabrics.
Common defect types in woven textiles.
Automatically detectable defects using vision systems.
Key analytical principles and techniques.
Relevant defect-detection algorithms.
Practical steps for implementing automated inspection systems.
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Recently updated!
June 2026
Assessments
77 assignments
Taught in English
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There are 5 modules in this course
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