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Artificial Intelligence Plays an Important Role in Quality Assurance of Fabric 

Artificial Intelligence Plays an Important Role in Quality Assurance of Fabric 

Issey Miyake, a renowned Japanese fashion designer, known for technology-driven clothing designs, once said: “There are no boundaries for what can be fabric.” The statement fits rightly in this day and age where customers are extremely quality conscious. If they spot one little hole, a slub or a loose thread on the fabric, they will not shy away from expressing negative reviews about the brand.

Fabric manufacturers are opting for smart manufacturing with the latest technologies, digitalization, and innovation to manufacture supreme quality of the fabric, but the desired quality of the fabric is not achieved. So, to produce the ultimate quality of the fabric, manufacturers must enhance their smart manufacturing with disruptive technology like Artificial Intelligence (AI).


Let’s tell you about 3 interesting ways AI helps fabric manufacturers in quality assurance:

1. Captures microscopic defects

The defects on fabric surfaces can be so intricate, that even machine vision cannot capture it, let alone its visibility to the human eye. Defects such as a minute hole, knot, missing thread, miss-pick, slub, negligible colour anomalies, etc. can only be spotted with a technology that goes beyond the human and machine vision. AI-backed computer vision technology can capture such microscopic defects on the fabric surface at full conveyor speed. The defects are spotted well-in-time and enable the manufacturer to take corrective measures right before the fabric is passed on to other stages of production.

2. Pattern inspection 

Fabric manufacturers know the importance of bringing a variety of apparels to the market; so every fabric has different patterns. Weaving, knitting, braiding, finishing, and printing, is unique to each fabric piece. AI inspects the pattern on the fabric to check for the quality of the fabric. For instance, AI-based pattern inspection shows a certain weaving pattern may potentially harm the fabric. The manufacturer may then choose an alternative weaving pattern or restructure the existing one. Pattern inspection enables the fabric manufacturer to produce a variety of fabric without compromising on the quality. 

3. Action detection

Fabric manufacturing has longer assembly lines. If the assembly lines are not well monitored, the quality of the product will go down invariably and the production capacity will be affected. AI Action Detection stringently monitors the assembly line and promptly reports the fault in assembling. Most often, quality-degrading defects are detected only after the completion of production. AI Action Detection inspects the fabric at the production stage and ultimately only the desired quality of the fabric is produced.

Lincode’s AI-backed Computer Vision technology for Fabric Industry 

We are proud to be the pioneers in textile-based visual inspection. Our knowledge and experience with the textile/ fabric industry have enabled us to design a robust, AI-backed Computer Vision solution, LIVIS, ideally suited for the fabric industry for extensive quality assurance.

A global conglomerate, headquartered in Mumbai, India, is a major player of the Textile industry. The company trusted in Lincode’s AI Computer Vision Solution for fabric surface detection. Our solution assisted in quality assurance by inspecting the fabric and detecting microscopic defects such as Hole, Slub, Broken pick, Stain, and Pinhole with high precision and accuracy. 

Contact us at sales@lincode.us to know more about deploying our solution

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