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In weaving sheds and raw material warehouses, the storage and management of warp beams have always been critical factors affecting space utilization and production efficiency.As production capacities expand and fabric varieties increase, traditional floor-stacking or manual retrieval methods are no Read More

In denim production, the heavy fabric structure, complex weaves, and diverse dyeing and washing processes present significant challenges for traditional cloth inspection. As order volumes grow and quality standards rise, more denim mills are turning to intelligent fabric inspection systems to enhanc Read More

In traditional cloth inspection processes, identifying defects such as broken ends, oil stains, and holes relies heavily on the experience and focus of the inspector. However, as production speeds increase and fabric structures become more complex, manual methods struggle to maintain stability and c Read More

In denim production, defect control is the deciding factor for quality stability and customer satisfaction. Issues like broken warps, oil spots, shading, and holes—even if infrequent—can lead to entire batch reworks or costly customer complaints if they reach downstream processes.As production speed Read More

When selecting an AI cloth inspection machine, inspection speed is often one of the core metrics textile mills care about most. Equipment speed not only directly affects production capacity but also relates to detection accuracy, stability, and whether the machine can truly replace manual labor. So, Read More

As the textile industry faces increasing demands for quality consistency, delivery stability, and labor cost control, traditional manual inspection—which relies heavily on human experience—is struggling to meet the needs of modern production. In this context, AI fabric inspection is rapidly becoming Read More