Shenzhen Wesort Optoelectronics Co., Ltd.
Address:Building 29, Longwangmiao Industrial Zone, Fuyong street, Bao'an District, Shenzhen, Guangdong Province, China.
Phone:+86 181 2370 6862
A popular walnut kernel color sorter is not simply the machine with the most attractive specification sheet. Walnut processors need equipment that can recognize black, mold-like, red, yellow, shriveled, broken and shell-containing kernels, maintain stable feeding, protect good product and fit the plant’s grading standard. WESORT provides an AI walnut sorting solution built around these production decisions.
After cracking and shell separation, a walnut line may contain several kernel colors, partial kernels, shell fragments, split wood, shriveled pieces and surface defects in the same flow. Natural color variation can also overlap with the boundary between saleable and reject product. Manual picking is slow and inconsistent, while an overly aggressive setting may remove good kernels together with dark defects.
The practical goal is therefore not to reject everything that looks different. It is to define the customer’s acceptable grades, identify visible defects consistently and measure the balance between reject purity and good-kernel recovery.
According to the actual walnut variety and sample condition, WESORT can evaluate sorting for visible black kernels, mold-like surface discoloration, red-black kernels, dark or light kernels, shriveled kernels, worm-eye or spot-like appearance, shell pieces, split wood, smelly kernels and other agreed appearance categories. The final sorting result depends on the material, defect definition, feed presentation and sample-test settings. Optical sorting evaluates visible surface characteristics; it is not a laboratory test for hidden contamination or internal quality.
WESORT’s AI visual recognition system can be configured for the categories that matter to a walnut processor instead of treating all dark or irregular kernels as one reject group. The sorting recipe can support multiple outlets and refined grade decisions, helping plants separate premium kernels, standard grades and reject streams in one controlled process.
Walnut kernels must enter the inspection area with a clear presentation. WESORT’s machine configuration is selected around kernel size, product form, feed condition and target throughput. The pneumatic ejector then removes the programmed target at the discharge point. Stable feeding and clean compressed air are essential to maintaining repeatable sorting.
For difficult lots, WESORT can discuss a sorting workflow with multiple grades, a reflux or re-sort route and a second-pass strategy. This helps processors recover borderline good kernels instead of accepting a single aggressive reject rule as the only option. The exact number of passes and outlets is confirmed through sample testing and the required walnut standard.
Walnut kernels have commercial value, so the test must measure more than defect removal. WESORT evaluates residual visible defects in the accepted stream together with good-product carry-over in the reject stream. This makes it easier to select a recipe that improves appearance without unnecessarily sacrificing saleable kernels.
WESORT has focused on intelligent nut sorting and offers the AI DeepSelect 8X sixth-generation walnut sorting machine, model SSH4B10-AB, for walnut-kernel applications. The machine is designed for food-processing environments and supports refined sorting schemes for different walnut origins, grades and defect definitions.
WESORT’s walnut application experience covers different walnut sorting schemes, including 185 walnut, Xinfeng, Xiner, Yunnan, mixed walnuts and nut-package separation. The appropriate recipe is selected after reviewing the customer’s actual samples, not copied blindly from another line.
Send representative samples that include good kernels, black or mold-like kernels, red or dark kernels, shells, split wood, shriveled pieces and borderline material. Ask the supplier to record the accepted stream, reject stream, residual defects, good-kernel loss, feed rate, air requirement and recommended number of passes. If your line handles several origins or grades, test each important lot because color and defect distribution can change.
The right machine depends on kernel size, whole or broken product, incoming contamination, target grades, available space, compressed air, desired throughput and downstream packing requirements. A compact configuration may suit a smaller processor, while a larger multi-channel or multi-pass arrangement may be more appropriate for continuous production. WESORT recommends confirming the configuration through a material test rather than selecting by popularity alone.
See the AI walnut kernel sorting machine for the equipment details, review real WESORT sorting applications, or send your walnut samples to WESORT for a tailored test.
Send WESORT your walnut samples and target grading standard. Our team will help you evaluate visible defect separation, good-kernel recovery and the configuration most suitable for your production line.
WESORT can evaluate visible black and mold-like discoloration during a sample test. The result depends on the contrast, kernel condition and agreed reject standard; laboratory testing is still required for hidden contamination.
Shell fragments and split wood can be included in the visible-defect test. The feeding condition and size contrast should be reviewed because shell separation performance depends on the actual material flow.
Yes, the machine can be configured for multiple visible quality categories and outlets. The exact grade recipe is developed from the customer’s samples and commercial standard.
Provide representative samples, kernel size, defect photos or physical rejects, desired throughput, target grades and plant utilities. WESORT can then recommend a test plan and machine configuration based on the real application.
A popular walnut kernel color sorter is not simply the machine with the most attractive specification sheet. Walnut processors need equipment that can recognize black, mold-like, red, yellow, shriveled, broken and shell-containing kernels, maintain stable feeding, protect good product and fit the plant’s grading standard. WESORT provides an AI walnut sorting solution built around these production decisions.
After cracking and shell separation, a walnut line may contain several kernel colors, partial kernels, shell fragments, split wood, shriveled pieces and surface defects in the same flow. Natural color variation can also overlap with the boundary between saleable and reject product. Manual picking is slow and inconsistent, while an overly aggressive setting may remove good kernels together with dark defects.
The practical goal is therefore not to reject everything that looks different. It is to define the customer’s acceptable grades, identify visible defects consistently and measure the balance between reject purity and good-kernel recovery.
According to the actual walnut variety and sample condition, WESORT can evaluate sorting for visible black kernels, mold-like surface discoloration, red-black kernels, dark or light kernels, shriveled kernels, worm-eye or spot-like appearance, shell pieces, split wood, smelly kernels and other agreed appearance categories. The final sorting result depends on the material, defect definition, feed presentation and sample-test settings. Optical sorting evaluates visible surface characteristics; it is not a laboratory test for hidden contamination or internal quality.
WESORT’s AI visual recognition system can be configured for the categories that matter to a walnut processor instead of treating all dark or irregular kernels as one reject group. The sorting recipe can support multiple outlets and refined grade decisions, helping plants separate premium kernels, standard grades and reject streams in one controlled process.
Walnut kernels must enter the inspection area with a clear presentation. WESORT’s machine configuration is selected around kernel size, product form, feed condition and target throughput. The pneumatic ejector then removes the programmed target at the discharge point. Stable feeding and clean compressed air are essential to maintaining repeatable sorting.
For difficult lots, WESORT can discuss a sorting workflow with multiple grades, a reflux or re-sort route and a second-pass strategy. This helps processors recover borderline good kernels instead of accepting a single aggressive reject rule as the only option. The exact number of passes and outlets is confirmed through sample testing and the required walnut standard.
Walnut kernels have commercial value, so the test must measure more than defect removal. WESORT evaluates residual visible defects in the accepted stream together with good-product carry-over in the reject stream. This makes it easier to select a recipe that improves appearance without unnecessarily sacrificing saleable kernels.
WESORT has focused on intelligent nut sorting and offers the AI DeepSelect 8X sixth-generation walnut sorting machine, model SSH4B10-AB, for walnut-kernel applications. The machine is designed for food-processing environments and supports refined sorting schemes for different walnut origins, grades and defect definitions.
WESORT’s walnut application experience covers different walnut sorting schemes, including 185 walnut, Xinfeng, Xiner, Yunnan, mixed walnuts and nut-package separation. The appropriate recipe is selected after reviewing the customer’s actual samples, not copied blindly from another line.
Send representative samples that include good kernels, black or mold-like kernels, red or dark kernels, shells, split wood, shriveled pieces and borderline material. Ask the supplier to record the accepted stream, reject stream, residual defects, good-kernel loss, feed rate, air requirement and recommended number of passes. If your line handles several origins or grades, test each important lot because color and defect distribution can change.
The right machine depends on kernel size, whole or broken product, incoming contamination, target grades, available space, compressed air, desired throughput and downstream packing requirements. A compact configuration may suit a smaller processor, while a larger multi-channel or multi-pass arrangement may be more appropriate for continuous production. WESORT recommends confirming the configuration through a material test rather than selecting by popularity alone.
See the AI walnut kernel sorting machine for the equipment details, review real WESORT sorting applications, or send your walnut samples to WESORT for a tailored test.
Send WESORT your walnut samples and target grading standard. Our team will help you evaluate visible defect separation, good-kernel recovery and the configuration most suitable for your production line.
WESORT can evaluate visible black and mold-like discoloration during a sample test. The result depends on the contrast, kernel condition and agreed reject standard; laboratory testing is still required for hidden contamination.
Shell fragments and split wood can be included in the visible-defect test. The feeding condition and size contrast should be reviewed because shell separation performance depends on the actual material flow.
Yes, the machine can be configured for multiple visible quality categories and outlets. The exact grade recipe is developed from the customer’s samples and commercial standard.
Provide representative samples, kernel size, defect photos or physical rejects, desired throughput, target grades and plant utilities. WESORT can then recommend a test plan and machine configuration based on the real application.

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Don’t bring only a business card. Bring the coffee your team is struggling to sort. From October 15 to 18, WESORT will be at Cafés de Colombia Expo 2026 in Bogotá. At Booth 2466, visitors can see how optical sorting responds to real coffee material...

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Sorting fresh coffee cherries before pulping or drying can help a processor separate visibly different fruit into more consistent lots. The right approach depends on the cherries, the acceptance standard and where the sorter will sit in the processin...

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