Can't See Tiny Nut Shell Fragments Clearly? The AI HD Color Sorter Identifies Them at a Glance

In the deep processing of crushed walnuts and pistachios, the presence of fine shell fragments is a common industry headache.

After crushing, nut kernel fragments and tiny shell pieces are thoroughly mixed together – the particles are extremely small, making sorting exceptionally difficult:

 Pistachio kernel fragments and shell fragments differ significantly in color, but the particles are so tiny that ordinary color sorters lack sufficient resolution – they can't see clearly, miss many particles, and easily leave shells behind.

 Walnut kernel fragments and shell fragments are very close in color. Conventional equipment that relies solely on color detection simply cannot distinguish between kernel and shell, resulting in large amounts of shell contamination that severely affects final product quality.

Traditional color sorters either have low pixel resolution, making fine particles hard to see, or rely only on color and fail to separate similar materials. Manual re-inspection is costly, material loss is high, and it's difficult to meet quality standards.

Targeting the specific challenges of nut kernel processing, HAWIT's AI HD Color Sorter delivers a breakthrough solution specifically designed for separating fine shell fragments from kernel fragments.

 Ultra-High-Definition Hardware – See Even the Smallest Impurities Clearly
The machine is equipped with professional-grade HD industrial lenses, achieving a minimum resolution of 0.015 mm.
This completely eliminates the common problem of "not being able to see fine particles" – no matter how fine the kernel pieces or how tiny the shell fragments, they are captured in high definition with complete detail.

 AI-Powered Intelligent Recognition – Distinguishing "Material Essence," Not Just Color
Walnut kernel fragments and shell fragments are extremely similar in color, rendering ordinary color sorters completely ineffective.
HAWIT's AI HD Color Sorter, however, does not rely solely on color judgment. Through deep learning of material texture features, it:
Accurately captures the subtle difference between the rough texture of shell fragments and the smooth cut surfaces of kernel fragments – distinguishing kernel from shell by their essential characteristics.

Sorting Results

Pistachio fragments: Precisely separates fine kernel pieces from shell fragments – the finished product is pure pistachio kernel fragments, free from shells and impurities; all shell fragments are uniformly rejected.

 

 

Walnut fragments: Thoroughly solves the problem of sorting materials with similar colors – the finished product is highly pure walnut kernel fragments; all shell fragments are completely removed.

 

The core challenge in nut kernel processing has never been coarse material sorting, but the precise removal of fine particles, similarly colored materials, and trace impurities.

HAWIT AI HD Color Sorter
– Clear enough to see even the smallest particles, capable enough to separate even the closest colors –
Truly achieving complete shell-kernel separation for nut kernels.
Enabling deep-processed broken nuts to achieve high purity and consistently meet quality standards.

For equipment sample videos, technical specifications, or free material testing, feel free to contact us anytime!