Textiles and Footwear

SolVision, Solomon’s AI vision system, enhances bobbin yarn defect detection with superior inspection accuracy, improving yarn quality and reducing downtime.

SolVision deployed for woven fabric defect detection achieves precise defect identification in textiles using Solomon’s rapid AI vision technology.

The challenge of accurately identifying the bobbin position in the rack is successfully resolved with the implementation of AI-based robotic 3D vision using SolScan and AccuPick.

Using AI-powered SolVision, the AI model is capable of identifying flaws quickly and accurately to improve detection rates and production yield, while reducing the burden on manual inspection.

Using Solomon SolVision’s Instance Segmentation tool, all kinds of colored and patterned ribbons can be inspected to locate different defects big or small.

After being trained with a small set of sample images, Solomon SolVision can identify defective products in real-time.

Powered by artificial intelligence, SolVision features four individual tools designed for different inspection tasks.