SNT-S Series — Fine Grain Optical Sorting | Sisentek
SNT-S Series

Precise sorting of fine-grain products.

Designed for high-efficiency sorting of fine and medium-grain products, with 4 to 12 channels. An ultra-low-latency architecture keeps product loss to a minimum.

Deep Learning YZUHD+ GörüntülemeUltra-Low LatencyUV & 4D-NIR Opsiyonu4–12 Kanal99.9%+ Accuracy
SNT-S series vertical channel optical sorting machine
4–12 kanal
Model range
1.2–48 t/h
Capacity range
99.9%+
Sorting accuracy
16
Material features
Applications

A wide range of industries.

Across grain, pulses, seeds, dried fruit and snack products, mould, stone, shell, discolouration and foreign material are removed with high accuracy.

Corn and cereal grains — wheat, barley and rye group
01

Wheat & Cereals

Removal of stone, soil, black spots, mouldy and shrivelled grain in wheat, barley and rye.

Mung beans
02

Pulses

Separation of colour defects, insect damage and foreign material in chickpea, lentil, bean and mung bean.

Confectionery sunflower seeds
03

Seeds & Kernels

Live/dead seed and empty shell separation in sunflower and seed stock using the 4D-NIR module.

Shelled raw peanuts
04

Peanuts

Detection of mould, rot, shell residue and discolouration in raw and roasted peanuts.

Green raisins
05

Dried Fruit

Stem residue and colour uniformity control in raisins, apricots and figs.

Bowls of assorted pulses, nuts and dried fruit samples
06

Also

Rice, sesame, coffee beans, spices, salt & sugar, plastic granules and custom applications.

Product Overview

Versatile sorting on vertical channels.

An ultra-low-latency sorting architecture means that on small-grain products ejector accuracy rises and product loss is minimised. The UHD+ imaging system makes small black spots, fine cracks and mould stains clearly visible.

A deep learning model matured over six years of iteration analyses 16 material features at once across colour, shape, texture, size and material. A UV light source and a 4D-NIR seed module can be added as options.

Key Features

Why SNT-S?

01

Precision Built for Fine Grain

The ultra-low-latency architecture optimises ejector trigger timing on small grains to the millisecondgood product loss drops.

02

UHD+ Super Optical Engine

Ultra-high-resolution imaging resolves sub-millimetre black spots, cracks and mould stains clearly.

03

Evolving Deep Learning

A model matured over six years of iteration analyses 16 material features at once across colour, shape and texture.

04

UV Toxin Sorting

A UV light source developed specifically to separate kernels carrying toxins (aflatoxin).

05

4D-NIR Tohum Modülü

A four-dimensional infrared module separates live from dead seed and empty shells in seed stock.

06

Industry 4.0 Control Panel

Parameter management, product recipe storage and live production statistics give full control.

Specifications

Model comparison.

Scroll the full table horizontally to compare every model.

SPECIFICATIONSNT-S4SNT-S6SNT-S8SNT-S8 UltraSNT-S10SNT-S12
PERFORMANCE
Sorting Accuracy> 99.9%
Capacity (t/h)1.2–101.8–152.4–204.5–83–253.6–30
Number of Channels46881012
Material Features16
IMAGING & SORTING
GörüntülemeUHD+ · Deep Learning / AI
Opsiyonel ModülUV (toksin) · 4D-NIR (tohum)
Voltage220 VAC / 50 Hz
Power (kW)1.82.73.45.93.85.0
MECHANICAL
Weight (kg)9951,3351,7501,9002,0802,310
Length (mm)1,9802,5853,3233,4473,9394,515
Width (mm)1,7401,7751,7651,8191,7651,765
Height (mm)1,7751,8001,8201,8971,8201,820

KP: channel panel · UHD+: ultra-high-resolution imaging. The UV (toxin sorting) and 4D-NIR (seed) modules can be added as a custom configuration. Capacity values vary with product type, moisture content and input quality. Specifications may change without notice.

Quote & Demo

Which SNT-S fits your line?

Tell us your product, your capacity and your current line width, and one of our engineers will call you within 24 hours on weekdays. Send a sample if you like, and we will test the machine on your own product.

Address
İMES Sanayi Sitesi, C Blok, 304. Sokak No: 12
Yukarı Dudullu, Ümraniye / İstanbul, Türkiye

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