For holidays and everyday binge-watching, peanuts and sunflower seeds have long been a widely popular casual roasted snack — a household staple. Market demand is stable, but consumers are increasingly demanding when it comes to appearance and taste. Among in-shell peanuts, the presence of shriveled nuts, mud-stained black-spotted nuts, and broken nuts directly determines pricing, repeat purchases, and brand reputation. Mud-stained black-spotted nuts, in particular, mostly come from peanuts that picked up soil while growing — their shells are covered in mud spots, look black and dirty, and stand out conspicuously when mixed into finished products. They must be thoroughly removed. Many roasted snack processing plants face the same challenge: in-shell peanuts are round and smooth, making them prone to slipping, rolling, and stacking — leading to unstable recognition and frequent missed detection. In addition, materials slide down by gravity and collide on impact, causing frequent breakage and persistently high production losses. The HAWIT High-Speed Belt Color Sorter is designed specifically for materials like peanuts that roll easily and are prone to breakage — smooth conveying, industrial camera recognition, and precise removal of defective peanuts. To visually demonstrate the sorting effect, we conducted an in-shell peanut machine test.  peanut       ➡ Before the test, we evenly mixed defective black peanuts into qualified peanut raw material and blended thoroughly to recreate the real-world mixed incoming material scenario at a processing plant. belt sorter       ➡ The mixed peanuts were continuously fed into the belt-type color sorter. The material spread flat on the smoothly running conveyor belt and was carried forward at a constant speed by the belt. No rolling, no stacking. The root cause of peanut rolling and stacking is eliminated. Every peanut spreads out steadily, giving the vision system a stable recognition surface. Soft contact, low breakage. Gentle soft-contact conveying throughout — no more high-speed impact on sliding chutes — greatly reducing the probability of peanut shell cracking and preserving finished product integrity while cutting unnecessary material loss. High-speed operation, high throughput. The belt runs fast with high processing capacity per unit time, meeting the demands of large-scale roasted snack processing. sorting result       ➡ Sorting Results Finished product: Premium peanuts — plump, uniform in color, and consistent in appearance. Rejects: Black peanuts with obvious mud staining and blackening. For roasted snacks that sell well, quality is the foundation. Stable and controllable sorting helps processing plants hold the first line of quality control. HAWIT High-Speed Belt Color Sorter — Stable sorting results, lower breakage rates, and every peanut clean and flawless. HAWIT Technology — Making Sorting Smarter.

The hotter the nut market becomes, the more unavoidable one hurdle is — "safe impurity removal" Safety is the confidence that nuts need to establish themselves in the domestic premium market, and it is also the key passport for domestically produced nut kernels to go overseas — moving from “volume-driven” to “lasting success.” Take pine nut kernels as an example: once hard foreign matter such as broken glass or small stones enters the market, the quality risks cannot be underestimated. In the past, processing relied heavily on manual picking or traditional color sorting. Sorting results depended highly on operator experience, and cleanliness fluctuated greatly between shifts and incoming material batches, making quality difficult to standardize. How can “sorting clean” be standardized and quantified? HAWIT leverages AI HD deep learning color sorting technology to provide a practical, verifiable intelligent sorting solution for foreign matter removal in pine nut kernel processing. AI Deep Learning Solves Industry Challenges in Nut Sorting The HAWIT AI HD Deep Learning Color Sorter has been specially optimized for the material characteristics of pine nut kernels: 🔹Multi-modal AI recognition tackles hazardous foreign matter of similar colors It goes beyond color comparison and integrates multi-dimensional judgment of shape, texture, and material, precisely identifying transparent broken glass and light-colored small stones — holding the line on food safety. 🔹Continuous sample learning adapts to complex incoming material fluctuations Samples of various foreign matter and defects in pine nut kernels are imported to build an exclusive model. When facing impurities with varied shapes, the equipment can autonomously iterate and learn, maintaining stable long-term production status and reducing the risk of missed detection. 🔹One machine for multiple categories A single machine can switch models to process pine nut kernels, almonds, pistachios, and other nut kernels, meeting the production needs of multi-category nut processing plants. Simulated Real-World Test Recreates Real Production Risks Technical capability ultimately depends on actual sorting results. To visually verify the equipment’s ability to remove hazardous hard impurities, we conducted a simulated incoming material test:  Broken glass and small stones were artificially mixed into qualified pine nut kernels and thoroughly blended to replicate dangerous incoming material conditions in production. The mixed material was then fed into the AI HD Deep Learning Color Sorter. After sorting, the pine nut kernels were plump and intact, with no residual hard foreign matter such as glass or stones. Batch quality remained stable and could meet food safety production requirements. From manual visual picking to AI intelligent sorting, the quality upgrade of the nut industry cannot be separated from the iteration of workshop equipment technology. Cleanliness and safety no longer rely only on worker experience — they have been transformed into technical capabilities that equipment can execute and production can reproduce. If you have sample testing needs for impurity removal in pine nut kernels or various other nuts, you are welcome to contact HAWIT, send materials for real testing, and see the actual sorting results.

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 large-scale processing of small red beans, mixed raw materials are a common challenge. To visually verify the sorting performance of the equipment, we simulated the real complex raw material conditions of a factory and conducted an extreme mixed-material test: into premium finished small red beans, we artificially mixed in three types of off-color beans — soybeans, mung beans, and black beans — along with defective small red beans with wormholes. After mixing, the material contained multiple types of impurities with highly hidden defects, fully covering all common impurity issues in small red bean processing. 【Caption: Finished red beans on the left, impurities mixed in on the right】 Core Hardware Upgrade — Solving Sorting Blind Spots at the Root This equipment upgrade specifically addresses the core shortcomings of older machines, with hardware configuration fully maximized to meet the refined sorting needs of small red beans: 1. Camera Upgrade: Standard-Definition Camera Iterated to High-Definition CameraSay goodbye to the blurry images, lost details, and poor low-light recognition of traditional SD systems. The HD camera captures micron-level details on the surface of small red beans — subtle wormholes, surface damage, and color differences are all clearly imaged, providing high-definition data support for precise AI recognition and completely eliminating missed judgments of minor defects. 2. Camera Quantity Upgrade: 2 Cameras per Channel Upgraded to 4 CamerasTraditional dual-camera-per-channel systems have visual blind spots — stacked, sideways-turned mixed beans and wormhole-damaged beans easily escape screening. After the upgrade, each channel features a 3D layout of 4 HD cameras, achieving all-angle, no-blind-spot scanning of materials. No matter the posture or stacking of the material, its state is fully captured, thoroughly eliminating sorting blind spots. 【Caption: Upgraded from 2 to 4 cameras per channel】   AI Intelligent Sorting — Precise Removal of Impurities and Defects Relying on the all-new HD imaging system plus exclusive AI algorithms, the equipment performs fully automatic precision sorting of mixed materials, with clear task division and precise diversion:✅ Premium Retention: High-quality small red beans that are intact, uniform in color, free of impurities and wormholes all pass through normally, maximizing good product yield.✅ Off-Color Beans Fully Removed: Precisely identifies and separates mixed-in soybeans, mung beans, and black beans, ensuring uniform and pure finished product color.✅ Wormhole and Defective Beans Fully Screened Out: For small red bean wormholes and damage that are difficult to see with the naked eye and unrecognizable by traditional equipment, it achieves precise identification and removal, thoroughly improving the finished product grade. 【Caption: Comparison of accept red beans and rejects】   From Standard-Definition Camera to High-Definition Camera, from dual cameras to four-camera panoramic scanning, the comprehensive hardware upgrade frees small red bean sorting from the pain points of "not sorting clean, not screening thoroughly." Fully automated intelligent sorting replaces large amounts of manual picking, with unified and stable sorting standards. It handles complex raw materials with high impurity and high mixing rates, suitable for large, medium, and small grain processing plants for scaled production.   【Caption: Real footage of the AI HD Multi-View Sorter sorting small red beans on site】 🎉 Free incoming material testing is available. Processing plants are welcome to inquire and connect with us.

National Day-------Mid-Autumn The full moon heralds Mid-Autumn; Joyfully welcome the National Day.As the golden autumn brings these two festivals, we are grateful to new and old customers and partners at home and abroad for your long-term trust and partnership. To help you better plan your procurement, equipment commissioning schedule, and project coordination, we hereby officially announce our 2026 Mid-Autumn Festival and National Day holiday arrangements, along with a real-time update on pre-holiday factory shipments, so you can clearly understand order progress and production scheduling. 📅 I. Holiday Arrangements for the Two FestivalsIn accordance with company production plans and unified holiday regulations, our holiday schedule is as follows: 【Caption: 2026 Mid-Autumn & National Day Holiday Arrangements】   🥮 Mid-Autumn Holiday: September 25–27, 2026🎉 National Day Holiday: October 1–6, 2026📌 Work Day: September 28–30, 2026 & October 7 (Wednesday) — normal work and production coordination resume   During the holiday, the factory will suspend production, assembly, quality inspection, and shipping. All inquiries, orders, and intended cooperation submitted during the holiday will be entered into the system after we resume work and scheduled for production in order of priority. If you need to inquire about equipment parameters, customized solutions, or sample testing cooperation, feel free to leave a message anytime. We will provide one-on-one precise follow-up immediately after we return to work.   📦 II. Pre-Holiday Factory Shipping UpdateAs the two festivals approach, our production workshop continues to maintain a standardized production pace, with stable overall capacity and orderly delivery. Currently, multiple color sorters complete assembly, quality inspection, and boxing every day in the workshop. Large batches of equipment are continuously being organized, packed, and shipped out to destinations across the country and overseas. S I H P 【Caption: Real photos of pre-holiday bulk shipments】   All orders confirmed for production before the holiday are steadily progressing and shipping out according to the established production plan. We consistently adhere to standardized production, meticulous packaging, and full-process quality inspection, avoiding rushed delivery and ensuring that every color sorter leaving the factory runs stably and sorts efficiently.   【Caption: Loading and shipping】   💡 III. Friendly Reminders 1. Color sorters are customized precision equipment, commissioned and debugged according to material type, sorting requirements, and equipment model. Customers are advised to plan their procurement and commissioning schedules in advance.   2. Before purchasing, we recommend sending raw material samples from your factory. We will debug exclusive sorting parameters one-on-one based on material impurity characteristics and sorting difficulty, and customize the optimal equipment solution — improving sorting accuracy from the source, reducing rejection loss, and adapting to your production line needs.   3. During the two festivals, the factory will suspend production. All new and intended orders during the holiday will be scheduled for production in order after the holiday, with sufficient capacity and orderly scheduling to ensure delivery quality.   4. Currently, pre-holiday orders are full and shipments are stable. Customers who wish to lock in a slot and prioritize production after the holiday can consult in advance to secure orders and seize post-holiday production scheduling priority.   ✨ IV. To All Partners at Home and AbroadGolden autumn, bright moon — a celebration for family and country alike.Every machine that successfully leaves the factory and every stable delivery would not be possible without the trust and support of all our customers. In the future, we will continue to deepen our R&D and production of intelligent sorting equipment, maintaining stable capacity, strict quality control, and professional service to provide customers at home and abroad with cost-effective, high-precision, highly stable color sorters and one-stop sorting solutions. We hereby wish all new and old customers and partners:A fulfilling Mid-Autumn Festival, a happy National Day, prosperous business, and everlasting success!   Hefei HAWIT Optoelectronic Technology Co., Ltd.

rice sorting In rice processing, from harvesting and drying to transfer and storage, raw materials are highly susceptible to mixing with various fine impurities. Among them, small stones and transparent glass fragments — nearly identical in size to ordinary rice grains — are the most troublesome impurities for rice mills. These impurities are tiny and closely resemble rice grains. They may seem insignificant, but they are a core pain point for many rice mills: ✅ Fine transparent glass fragments and small stones of the same particle size hide perfectly among rice grains. Ordinary color sorters have large recognition blind spots and suffer from severe missed detection.✅ Manual picking is time-consuming, labor-intensive, and extremely inefficient. Fine impurities are difficult to distinguish accurately by eye, and human fatigue easily leads to oversights.✅ Residual fine impurities are hard to detect, directly lowering the grade of finished rice while creating serious food safety hazards and damaging product reputation. In the traditional grain and oil sorting industry, it is widely believed that thoroughly removing fine stones and transparent glass fragments similar in size to rice grains can only be achieved with infrared color sorters. However, the high procurement cost of infrared equipment discourages many small and medium-sized rice mills. Is there a solution with comparable performance and higher cost-effectiveness? In this test, we conduct a real on-site machine trial to verify whether an AI HD Color Sorter can replace infrared equipment by accurately identifying and removing fine stones and mini glass fragments of the same size as rice grains. I. Test Materials: Rice + Small Stones & Glass FragmentsTo closely simulate actual factory production conditions, we manually and precisely prepared the test material, mixing two stubborn impurities into premium rice: fine sand and stones with particle sizes basically identical to rice grains, and mini transparent glass fragments. 【Caption: Core impurities in this test: small stones, transparent glass fragments】   II. Test Equipment: Next-Generation AI HD Color SorterThe machine tested is an AI HD Deep Learning Color Sorter, equipped with HD industrial lenses and deep learning AI algorithm model, breaking beyond the recognition limitations of traditional photoelectric sorting.With high-resolution imaging, even micron-level fine foreign matter is captured in complete detail. It accurately distinguishes normal rice grains from difficult-to-detect impurities such as transparent glass fragments and fine small stones. 【Caption: HD lenses imaging — every tiny detail revealed】   III. On-Machine Test Process: AI HD Precision SortingThe rice material mixed with stones and glass fragments is evenly fed into the AI HD Color Sorter’s inlet, and the machine performs fully automatic high-speed sorting.The HD lens captures the details of every particle in milliseconds, while the AI algorithm compares and analyzes in real time:✅ Normal premium rice → flows out through the finished product channel✅ Fine stones, transparent glass fragments → precisely rejected by air jets into the waste areaThe entire process runs automatically without manual intervention, with fast sorting speed and high precision. 【Caption: Sorting effect comparison: accept on the left, reject on the right】   IV. Test Results Comparison: Impurities Completely EliminatedAfter sorting, the results are clear at a glance:The small stones and transparent glass fragments mixed in the raw material are removed. The finished rice is clean and translucent, with no residual impurities, fully meeting the quality inspection standards for high-end rice.The test fully proves that in rice stone removal and glass fragment removal scenarios, the AI HD Color Sorter’s performance fully matches infrared equipment. 【Caption: Accept rice after sorting】   V. Core Advantages: AI HD Color Sorter — A Perfect Replacement for InfraredFor the most critical rice processing scenarios — removing stones and glass fragments — the AI HD Color Sorter, relying on HD industrial lenses to capture fine material details, offers strong replacement value: 1. Equivalent performance, maximum precision — HD industrial lenses capture the texture and contours of rice-grain-sized foreign matter, combined with AI deep learning algorithms, delivering sorting precision comparable to near-infrared equipment. 2. Lower price, significant cost reduction — No need to bear the high procurement cost of infrared equipment, enabling faster return on investment and profitability. 3. One machine, multiple uses, comprehensive quality improvement — In addition to stones and glass fragments, it can also remove moldy rice, yellow kernels, chalky kernels, and off-color rice grains.   【Caption: AI HD Color Sorter field test — rice sorting site】 The arrival of the AI HD Deep Learning Color Sorter breaks the industry’s fixed mindset that “only infrared can handle fine impurities in rice.”With equivalent sorting performance, lower procurement costs, and simpler operation and maintenance, every rice processing plant can achieve intelligent precision sorting at low cost.HAWIT AI HD Color Sorter — making every grain of rice stand up to inspection. Materials from different origins and categories have different impurity conditions.We welcome you to send samples for testing. We will provide one-on-one live machine demonstrations and free customized sorting solutions!

Rapeseed grains are extremely small, with diameters only in the millimeter range. The sprout defects from germination are even smaller in size, and their color is very close to that of sound rapeseeds, making them almost indistinguishable to the naked eye when mixed together.     The HAWIT AI HD Color Sorter is purpose-built for high-precision sorting of fine materials. 2026.09.07 High-Definition Imaging       High-Definition Imaging – Even the Smallest Sprouts Captured ClearlyEquipped with a high-definition industrial lens, the machine achieves a minimum resolution of 0.015 mm. The subtle morphological differences between sound rapeseeds and germinated sprouts are clearly visible under the lens – sprout tips, exposed embryos, and slight color variations are all captured with exceptional clarity. No matter how tiny the sprout, it is seen in perfect detail. AI       AI-Powered Intelligent Recognition – Not a Single Sprout MissedThe built-in deep learning algorithm automatically trains the sorting model for germinated seeds. Without the need for manual parameter adjustments, the AI automatically distinguishes between sound rapeseeds and sprouted ones. The more it sorts, the more accurate it becomes. Sorting Results       Rapeseed raw material is fed into the AI HD Color Sorter. The vibratory feeder evenly distributes the material as it enters the sorting channel. The HD lens scans each grain individually, and the AI makes millisecond-level decisions, precisely rejecting sprouted seeds. · Finished product: Sound rapeseeds – plump, free from germinated grains and impurities. · Rejects: Sprouted rapeseed grains – completely removed, not a single one left.     HAWIT AI HD Color Sorter – HD lenses see clearly, AI algorithms distinguish accurately. No matter how small the sprouts, they are sorted cleanly. In addition to rapeseed, the machine is equally suitable for sorting shape defects in various tiny seeds and minor grains. We welcome you to send samples for testing. HAWIT Technology – Making Sorting Smarter.

In garlic deep-processing production, the presence of skin-on garlic and spoiled garlic mixed in with the finished product are two major quality challenges. · Skin-on garlic: Cloves that are not completely peeled, with residual skin remaining on the surface. · Spoiled garlic: Cloves affected by mildew, black spots, or rot, posing food safety risks.   The HAWIT Belt Color Sorter is specifically designed for the characteristics of garlic materials, tailored for fragile, easily damaged peeled cloves, providing a stable and highly efficient fully automated sorting solution. In this real test, we thoroughly mixed finished peeled garlic cloves, skin-on garlic, and spoiled garlic to simulate the complex incoming material conditions of an actual factory, and fed them into the belt color sorter for sorting. accept       • Belt Conveying – Protecting Garlic IntegrityThe machine uses a flexible belt conveying structure, ensuring smooth material transport throughout the process. The material does not tumble or collide, significantly reducing the risk of secondary damage to garlic cloves. It maximizes the protection of intact cloves and effectively minimizes material loss. skin-on       • Intelligent Recognition – Precisely Removing Defective OnesRelying on an intelligent recognition system, the equipment accurately identifies defective items such as residual skin, surface browning, yellowing due to oxidation, breakage, and spoilage (blackening). It automatically separates good from bad materials, delivering stable and reliable sorting performance. spoiled       • Sorting ResultsThe finished peeled garlic cloves are plump, uniform in color, clean, and free of impurities. Skin-on garlic and spoiled cloves are precisely and effectively rejected. Sorting purity remains stable and controllable, thoroughly solving the industry pain points of manual sorting – inconsistency, high error rates, and low efficiency.   The machine can be directly integrated with garlic peeling production lines to enable a seamless automated workflow. It also supports flexible adjustment of sorting sensitivity and accuracy based on incoming material quality, adapting to various clove sizes and different processing grade requirements – significantly improving overall processing efficiency and finished product acceptance rates. For customized sorting solutions or on-site material testing, feel free to contact us anytime!☎  

In wheat processing, impurities come in many forms – transparent crushed glass, off-color wheat kernels, black and white stones, long and short straws, and wheat husks are all stubborn contaminants that are difficult to remove completely. They directly affect final product quality and market value.   In this test, we used a uniform set of test materials to conduct a side-by-side comparison of three color sorters with different technological approaches, giving you a clear look at their sorting capability.   Impurity List for This Test   2026 / 08 / 15 Impurity Type Characteristics Transparent crushed glass Colorless and transparent, different material from wheat Black stones Deep black, highly contrasting with wheat White stones Whitish, different shape and material from wheat Black rice Deep black, similar shape to wheat Brown wheat Darker color, same shape and material as wheat Long straws Elongated, yellowish in color Short straws Short straw pieces, different shape and material from wheat Wheat husks Similar size and color to wheat, different material   Test Rules   2026 / 08 / 15   RGB standard model & NIR model: Equal quantities of impurity samples were added. AI HD intelligent model: More impurities were added overall – with transparent crushed glass quantity doubled compared to the other two machines – to increase sorting difficulty. Hardware differences: RGB and NIR models are equipped with SD cameras; the AI model features an HD recognition camera.   Technology Principle & Test Results   2026 / 08 / 15 RGB       RGB Standard Color Sorter (SD camera) Relies on color and shape features to identify impurities. In this test, it successfully removed all impurities, meeting basic production standards. However, due to limited imaging resolution of the SD camera, for impurities with similar appearance to wheat (such as short straws and brown wheat), the judgment threshold had to be widened to ensure removal, resulting in a slightly higher carryover ratio. NIR       NIR Near-Infrared Color Sorter (SD camera + NIR) Adds near-infrared technology to RGB, enabling not only surface color impurity sorting but also identification of materials with internal defects. NIR adds a material property dimension, allowing more accurate recognition of "same-color, different-material" impurities without needing to expand the color threshold – achieving a lower carryover ratio. AI       AI HD Intelligent Color Sorter (HD camera + AI algorithms) As a next-generation high-end model, it is equipped with an HD imaging camera. In this test, we increased the difficulty by doubling the amount of glass impurities – yet it still removed all impurities with precision, demonstrating strong anti-interference capability. The HD camera provides clearer images, and AI algorithms deliver more accurate judgments, with a clear boundary between impurities and acceptable products – making it suitable for most production lines.     All three models deliver complete impurity removal with clean, uniform wheat output. The key differences are in carryover ratio and hardware — pick the one that fits your needs. Welcome for free sample testing — let us customize your ideal sorting solution! ✨

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!

In pistachio processing, cracked shells are the most troublesome defect. Shells that are split, damaged, or even empty – these defective nuts are mixed in with sound kernels. Traditional color sorters use flat lenses that capture images only from the front and back angles. As pistachios tumble through the sorting channel, empty shells and cracked nuts hiding on the side are easily missed. To achieve acceptable results, the material must be run through the machine multiple times – consuming time and product, cutting throughput in half, and driving up processing costs.       That's why HAWIT proudly launches the brand-new AI HD Multi-View Sorter. Two sets of cross-mounted lenses, synchronized multi-camera imaging – truly achieving all-angle, full-coverage capture. One pass now delivers the same sorting result that used to take two passes on conventional equipment – upgrading both efficiency and accuracy.     • Core Hardware Upgrade – Say Goodbye to Blind Spots√ Upgraded to dual cross-mounted HD lenses√ Multi-camera, multi-angle synchronized imaging√ Three-dimensional capture of every material unit, 360° no-blind-spot coverage     • Key Advantages – One Pass, Multi-Angle Feature Capture, Efficiency DoubledConventional equipment: Defects hidden on the side → frequent misses → requires a second passHAWIT AI HD Multi-View Sorter: Single feed, multiple imaging passes, comprehensive screening   As pistachios tumble and move through the machine, their front, sides, back, and even recessed crevices are all precisely captured. No hidden defect can escape detection – fundamentally solving the problems of missed and misclassified rejects.     • Real Sorting Results √ Accept (170g): Plump, intact kernels with no cracks or empty shells – all meet export-grade standards. × Reject (35g): Effectively removed – broken split shells, shriveled empty nuts – with an extremely low carryover ratio and controlled material loss.     • Wide Adaptability – High-Performance Model for Multiple Nut Types The new AI HD Multi-View Sorter is not only optimized for pistachios but also perfectly suits various irregularly shaped, curved, or defect-prone nuts, such as: Almonds、Cashews、Pine nuts、Walnut kernels   • Tackles various hidden defects (cracked shells, empty shells, wormholes, etc.) • Deep removal of dark spots and color inconsistencies • 360° no-blind-spot sorting – eliminating missed rejects   One pass, double the results, zero blind spots. The top choice for nut processing plants looking to upgrade quality and throughput.   For sample testing, full sorting videos, detailed specifications, or custom solutions, feel free to DM us anytime! ✨  

At the dog days of summer, Hefei has entered "sauna mode". Yet at HAWIT's production workshop and shipping site, operations remain in full swing - another batch of color sorters has passed factory inspection and is officially on its way to customer sites!     🌡 No Matter How Hot It Gets, Quality Control Never "Down"As temperatures continue to soar during the dog days, HAWIT's uncompromising pursuit of quality has never slackened – not even by a fraction. Every machine must undergo rigorous testing before leaving the factory – with critical components such as the drive mechanism, imaging system, electrical systems, system functions, and software algorithms all thoroughly inspected one by one. After passing these checks, each unit must also clear 16 cosmetic inspection items to ensure that every machine arrives at the customer's production line in optimal condition.   💎 Technical Strength That Withstands the HeatThe July heat wave is sweeping across the country, but HAWIT's shipping pace has never slowed. No matter how hot it gets, we deliver on our promise!The reason we can keep shipping and delivering consistently through the dog days lies in our solid technical strength and quality assurance. 🔹 Proprietary R&D, Technology Leadership – The company focuses on the R&D and manufacturing of intelligent sorting equipment, with full in-house development across optics, mechanics, electronics, computing, and software. The supply chain is stable and reliable, unaffected by external environmental fluctuations. 🔹 AI Deep Learning Algorithms – The system automatically trains sorting models, achieving an accuracy rate of up to 99.9%. Equipped with HD cameras and high-pixel imaging, it delivers clearer images and maintains stable, precise recognition even with complex materials. 🔹 Comprehensive Systems, Global Service – After years of development, HAWIT has exported to over 60 countries and regions, established deep partnerships with numerous enterprises, and provides 24/7 remote operation and maintenance support.   The dog-day heat wave cannot stop HAWIT's shipping momentum, High temperatures won't lower our standards - quality builds our reputation. This summer, HAWIT ensures that every shipment withstands the "heat test"!