SNT-YA Series — Dry Product Optical Sorting | Sisentek
SNT-YA Series

Sorting dry and large-grain products.

Designed for high-efficiency sorting of dry, large-grain products, with horizontal conveyor belts from 30 to 180 cm.

Deep Learning5K UHD+ Camera60–180 cmSmart LED ControlDouble Layer99.9%+ Accuracy
SNT-YA series horizontal belt optical sorting machine
60–180 cm
Conveyor width
0.5–4 t/h
Capacity range
99.9%+
Sorting accuracy
50 : 1
Reject ratio
Applications

A wide range of industries.

Across dry, large-grain snack seeds, nuts, seeds and coffee, empty shells, mould, discolouration and foreign material are detected with high accuracy.

Confectionery sunflower seeds
01

Sunflower Seeds

Removal of empty shells, stone, cigarette butts and foreign material in confectionery and oil-type sunflower seeds.

Shelled roasted peanuts
02

Peanuts

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

Shelled almond kernels
03

Tree Nuts

Separation of shell fragments, empty kernels and off-shapes in almond, hazelnut, walnut and pistachio.

In-shell pumpkin seeds
04

Pumpkin Seeds

Size classification plus empty-kernel and foreign material separation in pumpkin and watermelon seeds.

Roasted coffee beans
05

Coffee Beans

Removal of stone, husk, black beans and colour defects in green and roasted coffee.

Assorted dried fruit — kiwi, pineapple, banana, goji
06

Dried Fruit

Colour uniformity, stem residue and foreign material control in dried apricot, raisin and fig.

Product Overview

Intelligent sorting on a horizontal belt.

Multi-dimensional recognition built on deep learning analyses colour, shape, texture and surface simultaneously to identify defective product. Glossy, shaded, hard and soft surfaces are told apart.

Smart LED lighting and multi-processor parallel image processing deliver fast, precise recognition on dry products such as sunflower seeds, peanuts and tree nuts. The Industry 4.0 compatible smart control panel offers parameter management and product recipe storage.

Key Features

Neden SNT-YA?

01

Multi-Dimensional Recognition

Renk, shape, texture and surface are analysed at once; glossy, shaded, hard and soft surfaces are told apart, giving precision far beyond conventional colour sorting.

02

Deep Learning YZ

Deep learning models built specifically for the customer's product deliver far higher accuracy than conventional methods, with recognition performance that keeps improving over time.

03

Multi-Processor Image Processing

A multi-processor parallel image processing architecture analyses high-resolution images in real time and keeps up with gecikmesiz high-throughput lines.

04

Double Layer Kapasite

SNT-YAD models fit twice the ejectors and twice the cameras; verimlilik doubles.

05

Smart LED Control

Lighting tuned to the product removes reflection-induced blind spots on glossy and matte surfaces.

06

Endüstri 4.0 Kontrol Paneli

Parametre yönetimi, product recipe storage and live production statistics give full control.

Specifications

Model comparison.

Scroll the full table horizontally to compare every model.

SPECIFICATIONSNT-YA60SNT-YAD60SNT-YA120SNT-YAD120SNT-YA180SNT-YAD180
PERFORMANCE
Sorting Accuracy> 99.9%
Capacity (t/h)0.5–1.51–21–31–32–42–4
Conveyor (cm)6060 ×2120120 ×2180180 ×2
Reject Ratio (Defect : Good)50 : 1
IMAGING & SORTING
Camera Technology5K UHD+ · Deep Learning / AI
Number of Cameras488161224
Number of Ejectors128256256512384768
Voltage380 VAC / 50 Hz
Power (kW)3.65.54.47.65.59.8
Air Pressure2–6 Bar
Air Consumption (L/min)400–6001,000–1,8001,300–2,800
MECHANICAL
Weight (kg)1,0001,3801,2101,8001,4802,170

YAD models have a double-layer structure. Capacity varies with product type and moisture content. Specifications may change without notice.

Quote & Demo

Which SNT-YA 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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