In-Sight 3800 Series
General-purpose, AI-powered vision system designed to handle high-speed, high-resolution inspections across a wide range of manufacturing applications.
Textile quality control prevents safety hazards and costly recalls
Fabric and garment quality control is a key manufacturing step in products from automotive safety components to medical textiles and clothing. Some are safety-critical: airbag fabric and seat belt webbing production demand zero-defect manufacturing, and medical fabric for protective equipment needs to meet stringent ISO standards. And while not a safety issue, quality control for consumer garments is important to maintain your brand reputation and customer satisfaction.
Pattern verification, dimensional accuracy, and defect detection are essential to textile manufacturing. Modern textile manufacturing facilities process thousands of products daily, where consistent quality determines product reliability and safety compliance. Traditional manual inspection struggles with production speeds and consistency in detection, while the visual complexity of fabric patterns renders rule-based machine vision ineffective.
AI makes it possible to identify a wide range of complex textile defects, including weave irregularities.
Inconsistency is one of the biggest obstacles for conventional textile inspection
Fabric inspection presents unique challenges. Unlike uniform manufactured materials, textiles often have complex weave patterns, yarn thickness variations, and natural fabric properties that change with stretching and handling without actually creating “defects.” Clothing and apparel inspection has to consistently distinguish between acceptable fabric characteristics and actual quality defects across varying lighting and positioning conditions.
Critical defect types that challenge traditional systems include:
- Structural issues: Holes, rips, tears, and weave irregularities
- Surface defects: Stains, embedded particles, and color variations
- Manufacturing errors: Stitching defects, pattern misalignment, and dimensional inaccuracies
- Safety-critical flaws: Stress concentrations in automotive webbing and airbag materials
These challenges are too complex for rule-based machine vision. Programming a rule to address various defects while addressing complicated patterns would be inefficient and error prone. And manual inspection is slow and inconsistent, especially when looking for relatively small problems.
Cognex AI reads challenging text on fabrics.
Using AI to automate fabric inspection from weave to finished garment
Cognex AI technology transforms challenging fabric inspection into reliable, automated processes. Unlike traditional systems requiring extensive defect libraries, AI-based garment inspection trains on sets of good images to learn the normal appearance of the textiles, including weave patterns, fabric properties, and acceptable variations. Since AI-powered vision systems learn by example, they can easily adapt to new variables and types of defects.
Key capabilities for textile applications include:
- Anomaly detection: Find all deviations from learned normal appearance without programming specific defects
- Pattern verification: Confirm complex textile patterns and print accuracy across variable conditions
- Dimensional measurement: Ensure garment sizing and component placement meet specifications
- Multi-application flexibility: Adapt quickly to new fabric types and garment designs
The defect detection tool excels at detecting holes, rips, and stitching anomalies that could compromise safety. AI-based tools also detect unpredictable defects, such as stains and embedded particles. The technology rapidly adapts to new garment designs, making it easy to adjust to new products or variants.
Tracking and traceability
Cognex also uses AI to enhance Optical Character Recognition (OCR) tasks. Machine vision systems combine AI, powerful optics, and robust imaging technology to read badly deformed, skewed, and poorly etched care labels, size tags, and lot codes on textiles. The pre-trained font library works out of the box, streamlining textile tracking and traceability at every manufacturing stage.
With comprehensive support through our global network of machine vision experts, Cognex ensures your clothing quality control automation delivers consistent results from implementation through expansion.