Designed for high-efficiency sorting of dry, large-grain products, with horizontal conveyor belts from 30 to 180 cm.
Across dry, large-grain snack seeds, nuts, seeds and coffee, empty shells, mould, discolouration and foreign material are detected with high accuracy.

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

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

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

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

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

Colour uniformity, stem residue and foreign material control in dried apricot, raisin and fig.
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.
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.
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.
A multi-processor parallel image processing architecture analyses high-resolution images in real time and keeps up with gecikmesiz high-throughput lines.
SNT-YAD models fit twice the ejectors and twice the cameras; verimlilik doubles.
Lighting tuned to the product removes reflection-induced blind spots on glossy and matte surfaces.
Parametre yönetimi, product recipe storage and live production statistics give full control.
Scroll the full table horizontally to compare every model.
| SPECIFICATION | SNT-YA60 | SNT-YAD60 | SNT-YA120 | SNT-YAD120 | SNT-YA180 | SNT-YAD180 |
|---|---|---|---|---|---|---|
| PERFORMANCE | ||||||
| Sorting Accuracy | > 99.9% | |||||
| Capacity (t/h) | 0.5–1.5 | 1–2 | 1–3 | 1–3 | 2–4 | 2–4 |
| Conveyor (cm) | 60 | 60 ×2 | 120 | 120 ×2 | 180 | 180 ×2 |
| Reject Ratio (Defect : Good) | 50 : 1 | |||||
| IMAGING & SORTING | ||||||
| Camera Technology | 5K UHD+ · Deep Learning / AI | |||||
| Number of Cameras | 4 | 8 | 8 | 16 | 12 | 24 |
| Number of Ejectors | 128 | 256 | 256 | 512 | 384 | 768 |
| Voltage | 380 VAC / 50 Hz | |||||
| Power (kW) | 3.6 | 5.5 | 4.4 | 7.6 | 5.5 | 9.8 |
| Air Pressure | 2–6 Bar | |||||
| Air Consumption (L/min) | 400–600 | — | 1,000–1,800 | 1,300–2,800 | — | — |
| MECHANICAL | ||||||
| Weight (kg) | 1,000 | 1,380 | 1,210 | 1,800 | 1,480 | 2,170 |
YAD models have a double-layer structure. Capacity varies with product type and moisture content. Specifications may change without notice.
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.
Our engineer will call you within 24 hours.