AI X-ray Cloud Quality Sorting
Relying on massive data model of AI quality sorting, it can achieve multi-dimensional detection.

Relying on massive data model of AI quality sorting, it can achieve multi-dimensional detection of color, shape, size, density, material, etc., and effectively detect and remove internal defects in nuts such as worm eaten nuts, empty nuts, shrivelled nuts, oily nuts, moldy nuts, etc., and high-density impurities mixed in raw materials such as metals, stones, glass, ceramics, rubber, etc; 

PLOV physical structure platform technology can synchronously achieve various detection needs such as external impurities and internal defects with high output and low loss.

Model:
  • RX64
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Relying on massive data model of AI quality sorting, it can achieve multi-dimensional detection of color, shape, size, density, material, etc., and effectively detect and remove internal defects in nuts such as worm eaten nuts, empty nuts, shrivelled nuts, oily nuts, moldy nuts, etc., and high-density impurities mixed in raw materials such as metals, stones, glass, ceramics, rubber, etc; 

PLOV physical structure platform technology can synchronously achieve various detection needs such as external impurities and internal defects with high output and low loss.

Sorting Range
Product Parameters
Model
Power(kw)
Power Supply(V/Hz)
Dimension L*W*H(mm)
Weight(kg)
Throughput(t/h)
Accuracy(%)
Carryover Ratio
RX64
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