assorted color thread roll on white wooden shelf

SolVisionCase Study

Textiles and Footwear

Ribbon Fabric Inspection Using AI

Case

Ribbon Fabric Quality Control

Ribbons come in many varieties, from color and size to styling and fabric type. The production process is intricate, requiring delicate handling and multiple steps, including warping, threading, weaving, ironing, dyeing, finishing, printing, sewing, tape winding, and, crucially, quality inspection and packaging. Given the high stakes involved in textiles quality control, effective defect detection is essential to ensure that only superior ribbons reach the market, safeguarding brand reputation and compliance with industry standards.

user-interface of SolVision performing AI inspection of ribbon fabric

Challenge

Limitations of Traditional Inspection Systems

The wide variety of ribbons presents significant challenges for traditional rule-based vision systems, which offer limited flexibility in adapting to diverse textures, patterns, and colors. The intricate designs and unique features of ribbon fabric make it difficult for conventional vision inspections to accurately detect defects. As a result, these systems are highly prone to errors and missed inspections, compromising textiles quality control and increasing the risk of delivering subpar products to the market. This underscores the need for a more advanced solution that leverages AI for effective defect detection in the ribbon manufacturing process.

Solution

AI-Driven Defect Detection for Ribbon Fabric Inspection

SolVision enhances ribbon fabric inspection by employing AI-powered defect detection. Utilizing advanced AI segmentation tools, the system inspects a diverse range of colored and patterned ribbons, accurately identifying defects of various types and sizes. This approach streamlines the inspection process, reducing the time required for quality control while capturing and analyzing defect data. By allowing textile manufacturers to trace production issues, SolVision ensures that only high-quality ribbon fabric meets market standards, reinforcing overall quality control and maintaining brand integrity.

Ribbon Fabric Defect Detection

Hole defect detected on ribbon

Hole

Knots defect detected on ribbon

Knots

Broken stitch defect detected on ribbon

Broken Stitch

Outcome

Improved defect detection accuracy
Streamlined inspection process
Enhanced traceability in production
Related Posts

  • Woven Fabric Defect Detection Using AI

    SolVision deployed for woven fabric defect detection achieves precise defect identification in textiles using Solomon’s rapid AI vision technology.
    Case StudiesDefect DetectionQuality/Safety InspectionSolVisionTextiles and Footwear

  • Engine Serial Number Recognition Using AI

    SolVision’s AI-based OCR technology enables automated engine serial number recognition, ensuring rapid, accurate data extraction and seamless integration.
    Case StudiesAutomotiveOptical Character RecognitionSolVision
  • Cross-section of a cable with exposed wires, showcasing the internal structure and individual conductors

    Cable Insulation Defect Detection Using AI

    SolVision AI enhances cable defect detection, improving cable insulation quality control, inspection accuracy, and production efficiency for wires and cables.
    SolVisionCase StudiesClassificationDefect DetectionElectronicsOptoelectronicsQuality/Safety Inspection
  • pile of blue surgical masks

    Surgical Mask Inspection Using AI

    SolVision utilizes deep learning technology for enhanced surgical mask inspection, ensuring accurate defect detection and improved quality control.
    SolVisionCase StudiesClassificationDefect DetectionPharmaceuticals and MedicalPresence/Absence