Unlike stiff woven fabrics, knitted fabrics are elastic, curl easily and have messy fine textures, making manual inspection the top headache for circular knitting factories. For one thing, knit fabrics carry complex defects including tiny hidden flaws invisible to human inspectors. For another, manual checking often accidentally damages fabric due to its inherent traits, risking downstream delivery quality. Consequences include full batch rejection, claim payouts, brand harm and unstable quality, a profit-killing predicament many knit mills struggle with. Most ready-made AI vision systems merely prioritize vision modules and fail to adapt to knit fabric properties, dragging down QC pass rates. Trained on large knit defect datasets and backed by ongoing optical algorithm iterations, our all-in-one hardware & software solution builds a distinctive, non-replicable technical moat to outperform competitors.
