Defect Detection & Reporting on Textile Fabrics
Real-time detection of stains, yarn slips and weaving defects on fabric flowing down the line, using line scan cameras and neural networks.
TekstilLine ScanNeural Networks
Continuous inline scanning
Fabric is scanned at full width and line speed under a line scan camera. Purpose-built bar lighting renders stains, holes, yarn slips and weaving irregularities with high contrast.
LSLine scan camera integration
m/dkContinuous scanning at line speed
CNNStain/defect classification with CNN
RaporMeter-based defect mapping
Neural-network classification
A network of convolutional, pooling and fully-connected layers classifies defects by type. Each defect is reported with its position along the fabric length; an end-of-roll quality map is generated automatically. We support Turkish textiles with domestic technology.
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