Henning Saint intelligent CCD coffee bean color sorter, using industry-leading high-definition 54 million pixels high-speed scanning imaging for coffee bean color sorting, it can accurately identify dead beans, moldy beans, black beans, unhulled beans, burnt beans, stones and other impurities. The sorting accuracy can reach more than 99%.
Henning Saint nut color sorter adopts industry-leading high-definition 54 million pixels high-speed scanning imaging for nuts color sorting, accurately identify the color and shape of nuts, provide "color sorting plus shape sorting" solutions for different materials, accurately identify mold, worm holes, broken and other defective products and quickly reject. It is suitable for color sorting of walnuts, cashew nuts, pistachios, pine nuts, melon seeds, peanuts and other nuts and fried materials.
HS-VB224 Visual Counter is an automatic counting machine designed and manufactured by Anhui Henning Saint Technology. The equipment can be used for many different kinds of materials, such as lancets, screws, toothpaste, candies, washers and so on.
HS-VB80 Visual Counter is an automatic counting machine designed and manufactured by Anhui Henning Saint Technology. The equipment can be used for many different kinds of materials. Customers who are interested in the equipment can contact us in www.henningst.com or 008618755170037
HS-VX8 Visual Counter is an automatic counting machine designed and manufactured by Anhui Henning Saint Technology. The equipment can be used for many different kinds of materials, such as lancets, screws, toothpaste, candies, washers and so on. Customers who are interested in the equipment can contact us in
Henning Saint millet color sorters mainly sort millet based on the differences in color and the optical properties to keep the golden high-quality millet, remove dark, grey, green and white millet, gravels and particles of different colors.
Henning Sanit sesame color sorter can remove unpeeled, moldy sesame and other off-color impurities from peeled and washed sesame.
