Yes, we would be very happy if you bring your fabrics with you. We carry out our testing studies in our R&D laboratory in our head office.

We can be positioned as a hybrid solution on manual fabric inspection machines. Having a flat area is sufficient for the operation of our technology.

We do not differentiate based on knitting or weaving quality. In fact, we achieve successful results even on challenging surfaces such as flannel fabrics. Currently, we are refining our system for patterned and printed fabrics. Therefore, our preference lies with plain dyed fabric surfaces.

Yes, internet access is required. For Serkon.AI to function efficiently, internet access is necessary. During the first month, we provide remote monitoring and support operators in using AI. We offer 24/7 technical support to address any issues promptly, ensuring smooth operation and optimal performance.

When an operator starts a batch, we define the fabric style in the system. Serkon.AI functions as a fabric inspection machine with learning and saved style capabilities. When a batch begins, it learns the fabric style and continues testing the remaining rolls in the batch using this style.

We only store defect photos. Serkon.AI stores photos of detected defects and related reports on an additional hard disk inside the system. This ensures quick access to past defect records, making the fabric quality control process more efficient.

Yes, error naming is possible. Serkon.AI, works actively from the moment of installation and requests our customers to name the accumulated error photos. These photos are integrated into the textile quality control process and photo saturation is achieved over a period of 1 month. Afterwards, the errors defined by our customers are integrated into our system.

Yes, our system is open to ERP integration. Serkon.AI is compatible with textile automation systems and can integrate your production processes with your ERP software. This integration optimizes your production processes using quality control methods in textiles, contributing to your quality assurance standards.

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