Automated Fabric Inspection

Leverage AI to detect fabric defects, enhancing quality control and reducing manufacturing errors efficiently.

Fabric Detection

AI tool automating fabric defect detection for manufacturing anomalies.

A close-up view of a denim fabric featuring a woven patch with a logo. The patch shows a red diamond shape with a blue emblem inside, against a background of blurred greenery indicating an outdoor setting.
A close-up view of a denim fabric featuring a woven patch with a logo. The patch shows a red diamond shape with a blue emblem inside, against a background of blurred greenery indicating an outdoor setting.
Quality Assurance

Identify thread breaks, color mismatches, and other defects.

The image features a close-up view of a textured, beige carpet or fabric surface with scattered clusters of small, dark particles or debris.
The image features a close-up view of a textured, beige carpet or fabric surface with scattered clusters of small, dark particles or debris.
Learn
Close-up view of a denim fabric featuring detailed stitching along a seam and a metallic button embossed with the words '1928 RICA LEVI'S'. The weave of the denim fabric is clearly visible, highlighting the texture and the faded blue coloration.
Close-up view of a denim fabric featuring detailed stitching along a seam and a metallic button embossed with the words '1928 RICA LEVI'S'. The weave of the denim fabric is clearly visible, highlighting the texture and the faded blue coloration.
A spacious, well-lit industrial setting with numerous large white machines lined up in parallel rows. A person in uniform appears to be operating one of the machines. Red and blue bins are placed at intervals along the line of machines, which appear to be automated textile machines. The facility is clean and modern, with the floor marked with geometric patterns.
A spacious, well-lit industrial setting with numerous large white machines lined up in parallel rows. A person in uniform appears to be operating one of the machines. Red and blue bins are placed at intervals along the line of machines, which appear to be automated textile machines. The facility is clean and modern, with the floor marked with geometric patterns.
Visual Inspection

Enhancing accuracy in detecting rare and common fabric issues.

Explore

Quality Assurance

Revolutionizing fabric inspections with AI-driven anomaly detection and analysis.

Defecteyerst has transformed our inspection process, saving us time and improving accuracy significantly.

Jordan Smith
A close-up view of a textured surface, possibly fabric or carpet, with intricate details of fibers and threads visible. The black and white image highlights the contrast and patterns formed by the tightly woven material.
A close-up view of a textured surface, possibly fabric or carpet, with intricate details of fibers and threads visible. The black and white image highlights the contrast and patterns formed by the tightly woven material.

New York

The AI tool from Defecteyerst has drastically reduced our defect rates and improved overall quality control in our fabric production process. Highly recommended for manufacturers.

A close-up view of an intertwined fabric with a checkered pattern. The focus is on the intricate folds and frayed edges, creating a dynamic and almost abstract appearance. The fabric features shades of blue and white, contributing to a soft and textured visual.
A close-up view of an intertwined fabric with a checkered pattern. The focus is on the intricate folds and frayed edges, creating a dynamic and almost abstract appearance. The fabric features shades of blue and white, contributing to a soft and textured visual.
Emily Johnson

Los Angeles

★★★★★
★★★★★
Quality

Automating fabric inspections with AI technology.

Detection

joanneng@defecteyerst.shop

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