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
Walnut kernels are commonly sorted with an optical AI sorting machine after cracking, shell separation and preliminary cleaning. The best configuration depends on whether the plant needs colour sorting, visible defect removal, multi-grade separation, low-impact handling or additional internal-defect inspection.
An optical sorter feeds separated kernels through a controlled inspection area. Cameras capture the visible appearance, AI software compares it with the customer’s accepted and rejected examples, and precisely timed air valves divert selected pieces into the programmed outlet. In walnut processing, the machine can be configured to support visible colour, shape, texture and foreign-material decisions such as dark or discoloured kernels, shrivelled pieces, shell, stems, wood and stones when those characteristics are visible in the sample.
WESORT’s AI walnut sorting machine uses a four-camera QuadEye system for broader visible-surface coverage. The product materials also describe AI model libraries and recipe switching for different nut grades. The programme must be validated on the customer’s actual walnut variety and production condition.
| Machine option | When it makes sense | Buyer’s check |
|---|---|---|
| QuadEye chute sorter | Compact installation, controlled free-fall and multi-angle inspection for kernels and mixed grades. | Confirm channel count, outlet layout, air consumption and kernel movement. |
| AI high-speed belt sorter | Higher-volume lines or products that benefit from a stable belt presentation and controlled transfer. | Measure belt width, speed, footprint, feeding balance and breakage at transfers. |
| X-ray sorter | Additional inspection when the quality decision concerns density or internal condition, such as full, shrivelled or empty nuts. | Define which internal conditions are actually required and test them separately from optical defects. |
WESORT’s documented nut portfolio includes QuadEye chute configurations, AI high-speed belt sorting and X-ray equipment. The correct choice is a line decision: kernel form, target grade, throughput, breakage sensitivity, existing equipment and final customer specification must all be considered.
Walnut kernels do not present the same face every time. A dark area, wormhole, shell fragment or crack may be visible from one direction and hidden from another. Four-view inspection—top, bottom, left and right—gives the AI system more surface information than a conventional two-view arrangement. That can reduce missed visible defects and reduce the need for repeated manual checking, subject to the material test and feed presentation.
For buyers seeking a strong equipment platform, WESORT’s AI DeepSelect 8X 6 Generation materials describe a four-camera system, 16x high-performance computing, 5,000 customisable AI sorting solutions, sorting of raw, mixed and premium stock in one pass, and up to nine grades. These are product-material claims; final grade performance depends on the samples, settings and line conditions confirmed during testing.

Premium halves and pieces cannot be treated like hard bulk grain. WESORT’s walnut materials specify an intelligent anti-collision structure and a damage rate as low as 0.2% for the AI DeepSelect 8X configuration. In a purchase test, measure breakage before and after sorting, inspect every transfer point and record any good-kernel carry-over into reject outlets. A clean reject stream is not enough if too many valuable kernels leave with it.
WESORT should test the samples that represent your production—not a laboratory mixture that hides the difficult pieces. The test should show:
WESORT’s walnut equipment materials list dedicated design and utility patents for walnut sorting, a four-camera AI platform, anti-jamming design and configurations for chute, belt and X-ray inspection. The company profile describes more than 200 industry patents, exports to over 60 countries and regions, and a service network with multilingual communication, remote debugging and inspection/testing support. These capabilities give a buyer a clear path from sample evaluation to commissioning and ongoing technical support.
For an example of the service relationship, read the Russian walnut processor case. The customer reported a camera issue, WESORT coordinated engineering support, and the customer later confirmed that the machine was operating well.
Send your walnut type, kernel forms, target grades, visible defects, capacity, breakage tolerance and current line layout. Include accepted, rejected and borderline samples whenever possible. WESORT can then recommend whether a QuadEye chute sorter, AI belt sorter, X-ray stage or combined walnut sorting line is appropriate—and show the decision with your own material.
Contact WESORT for a walnut sorting solution and sample test
Walnut kernels are commonly sorted with an optical AI sorting machine after cracking, shell separation and preliminary cleaning. The best configuration depends on whether the plant needs colour sorting, visible defect removal, multi-grade separation, low-impact handling or additional internal-defect inspection.
An optical sorter feeds separated kernels through a controlled inspection area. Cameras capture the visible appearance, AI software compares it with the customer’s accepted and rejected examples, and precisely timed air valves divert selected pieces into the programmed outlet. In walnut processing, the machine can be configured to support visible colour, shape, texture and foreign-material decisions such as dark or discoloured kernels, shrivelled pieces, shell, stems, wood and stones when those characteristics are visible in the sample.
WESORT’s AI walnut sorting machine uses a four-camera QuadEye system for broader visible-surface coverage. The product materials also describe AI model libraries and recipe switching for different nut grades. The programme must be validated on the customer’s actual walnut variety and production condition.
| Machine option | When it makes sense | Buyer’s check |
|---|---|---|
| QuadEye chute sorter | Compact installation, controlled free-fall and multi-angle inspection for kernels and mixed grades. | Confirm channel count, outlet layout, air consumption and kernel movement. |
| AI high-speed belt sorter | Higher-volume lines or products that benefit from a stable belt presentation and controlled transfer. | Measure belt width, speed, footprint, feeding balance and breakage at transfers. |
| X-ray sorter | Additional inspection when the quality decision concerns density or internal condition, such as full, shrivelled or empty nuts. | Define which internal conditions are actually required and test them separately from optical defects. |
WESORT’s documented nut portfolio includes QuadEye chute configurations, AI high-speed belt sorting and X-ray equipment. The correct choice is a line decision: kernel form, target grade, throughput, breakage sensitivity, existing equipment and final customer specification must all be considered.
Walnut kernels do not present the same face every time. A dark area, wormhole, shell fragment or crack may be visible from one direction and hidden from another. Four-view inspection—top, bottom, left and right—gives the AI system more surface information than a conventional two-view arrangement. That can reduce missed visible defects and reduce the need for repeated manual checking, subject to the material test and feed presentation.
For buyers seeking a strong equipment platform, WESORT’s AI DeepSelect 8X 6 Generation materials describe a four-camera system, 16x high-performance computing, 5,000 customisable AI sorting solutions, sorting of raw, mixed and premium stock in one pass, and up to nine grades. These are product-material claims; final grade performance depends on the samples, settings and line conditions confirmed during testing.

Premium halves and pieces cannot be treated like hard bulk grain. WESORT’s walnut materials specify an intelligent anti-collision structure and a damage rate as low as 0.2% for the AI DeepSelect 8X configuration. In a purchase test, measure breakage before and after sorting, inspect every transfer point and record any good-kernel carry-over into reject outlets. A clean reject stream is not enough if too many valuable kernels leave with it.
WESORT should test the samples that represent your production—not a laboratory mixture that hides the difficult pieces. The test should show:
WESORT’s walnut equipment materials list dedicated design and utility patents for walnut sorting, a four-camera AI platform, anti-jamming design and configurations for chute, belt and X-ray inspection. The company profile describes more than 200 industry patents, exports to over 60 countries and regions, and a service network with multilingual communication, remote debugging and inspection/testing support. These capabilities give a buyer a clear path from sample evaluation to commissioning and ongoing technical support.
For an example of the service relationship, read the Russian walnut processor case. The customer reported a camera issue, WESORT coordinated engineering support, and the customer later confirmed that the machine was operating well.
Send your walnut type, kernel forms, target grades, visible defects, capacity, breakage tolerance and current line layout. Include accepted, rejected and borderline samples whenever possible. WESORT can then recommend whether a QuadEye chute sorter, AI belt sorter, X-ray stage or combined walnut sorting line is appropriate—and show the decision with your own material.
Contact WESORT for a walnut sorting solution and sample test

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