AI HD Color Sorter Empowers Green Pea Processing with Flexible Response to Diverse Production Requirements As consumer demand for exports and frozen fruits and vegetables continues to diversify, the challenges facing green pea processors are shifting. In the past, the focus was on “how to increase sorting throughput.” Today, the greater challenge is: while maintaining throughput, how to achieve high-precision, low-loss, customized sorting according to the quality requirements of different customers and different orders. From “Batch Sorting” to “Customized Sorting” Customized sorting is not simply “one-size-fits-all” sorting — it translates customer requirements into executable standards on the sorting end. The equipment matches different recognition strategies according to different customer standards, achieving more precise and stable sorting within the AI intelligent sorting solution. Simply put: whatever grade of green peas the customer wants, the machine sorts to that standard. Why Do Green Pea Processors Urgently Need Customized Sorting Solutions? Many processing companies in the frozen vegetable and grain export sectors simultaneously serve domestic supermarkets and export customers from different countries, with vastly different order standards: some orders only require removing seriously defective peas, while export orders strictly control defects such as wormholes, breakage, subtle yellow spots, and localized browning. As product categories and customer orders continue to diversify, companies face numerous production challenges: How to quickly switch sorting standards for different grade orders? How to balance removing wormholes, half kernels, and soybean impurities while controlling false rejection of good peas and ensuring yield? How to stably control the defect rate of finished products when incoming material quality fluctuates across batches? All of these require sorting equipment with stronger precision response and fine defect recognition capabilities. Sorting Test: Beyond Order Standards for Green Pea Processing In this green pea sample test: total raw material weight was 925g, with an overall impurity rate of 25%, including 20% wormhole-damaged peas and 5% half soybean kernels. The green pea raw material mixed with wormholes, broken half kernels, and soybeans was fed into the HAWIT AI HD Deep Learning Color Sorter. The resulting finished green peas were plump and uniform in color, with wormholes, broken half kernels, off-color soybeans, and other impurities effectively removed, achieving a finished product sorting purity of 99.6%.     Whatever grade of green peas the customer wants, the machine sorts to that standard. This is HAWIT’s customized sorting solution for green pea processing — AI-driven recognition, flexible model switching, balancing sorting precision and raw material yield, adapting to the ever-changing demands of export and frozen fruit and vegetable orders. HAWIT specializes in AI visual intelligent sorting equipment, developing customized deep learning sorting models for grains, nuts, and frozen fruits and vegetables. If you also face challenges with difficult-to-identify material defects or hard-to-control yield rates, we welcome you to send samples for free testing and verify the sorting results on site.

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 ClearlyThe 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 ColorWalnut 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!