AI Fabric inspection machine
Inspect fabric defect mark and save it to system, connect bottom data of
spreader and cutter.

☑️Machine core advantages
Free the operator's eyes:
-Manual fabric inspection is a pain point in the whole industry. Staring at the fabric for a long time, easy cause visual fatigue, and the fabric inspection rate is very low, between 40% and 50%.
-Jack fabric inspection machine, through 612 layers of visual neural network 400,000 lines of algorithm code, Al autonomous deep learning, can identify 18 categories, more than 20,000 fabric defect types. The inspection rate is up to 90%.

Fabric data management：
1. Directly generate defect map, collected with spreader, auto cutter bottom
layer data
2. Data can be directly connected to customer management system (suchas
ERP, MES, etc.),
3. Measure fabric gram weight /width /meter and other parameters,
effectively avoid fabric manufacturers shortage of weight. It can output American system 4 points defect report, trace back to fabric manufacturer.
4. Defects are marked on the fabric by labelling easy to identify.

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