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
The most reliable color sorter manufacturer in China
Walnut Kernel Color Sorter for Black, Moldy and Discolored Kernels
Time:2026-10-23
Black, moldy and discolored walnut kernels are not simply “bad colour.” They may represent different grades, different causes and different commercial decisions. WESORT’s AI walnut kernel color sorter converts those visible quality rules into repeatable recipes, so processors can remove unacceptable kernels without throwing valuable light or amber product into the reject stream.
What does WESORT sort? Depending on the customer’s samples and grade standard, the system can be configured to separate black kernels, red-black kernels, mold-like surface marks, darkened kernels, shrivelled kernels, color deviations, shell, septum and other visible foreign material. Final separability must be confirmed with representative samples.
Why manual sorting struggles with walnut defects
Walnut kernels vary by origin, variety, storage condition and cracking result. A manual team may agree on an obvious black kernel but disagree on a borderline amber piece, a partially darkened surface or a kernel with a small visible spot. That inconsistency makes grade quality difficult to reproduce and makes export orders harder to standardise.
How WESORT sees the defect
The AI walnut selection machine combines deep-learning image analysis with intelligent CCD imaging. Its multi-angle imaging captures visible information from the kernel surface, while the sorting programme learns the customer’s accepted, rejected and borderline examples. The machine can evaluate colour, shape, size, texture and area rather than relying on one colour threshold.
For walnut processors, the AI Intelligent Walnut Selection Machine provides the core platform. Its published features include customised AI models, 360° image acquisition, an Italian high-precision magnetic levitation valve, stable vibration feeding, APP remote control and intelligent anti-breakage technology.
Black, moldy and discolored are different sorting instructions
| Target | What the buyer should define | How WESORT approaches it |
|---|---|---|
| Black or severely dark kernel | Whether every dark kernel is rejected or routed to a lower grade. | Use colour and surface reference samples to set the boundary. |
| Mold-like surface mark | Visible mark size, colour, location and customer tolerance. | Train the recipe on confirmed examples; do not claim hidden mold detection from surface vision. |
| Red-black or uneven colour | Whether it is a separate commercial grade or reject. | Create a dedicated output for the agreed grade instead of a single aggressive reject. |
| Shrivelled or incomplete kernel | Whether shape and size are part of the grade rule. | Combine visible shape, area and colour criteria where the sample supports it. |
| Shell, septum or foreign material | Which foreign objects must be removed before packing. | Use visible contrast and shape differences; add upstream cleaning or X-ray when the requirement is not optical. |
Why four-view inspection matters
A defect can sit on the top, underside or edge of an irregular kernel. WESORT’s QuadEye four-camera arrangement—top, bottom, left and right—provides more visible-surface information than a conventional two-view setup. This is especially valuable when the plant is removing small dark marks, wormholes, shell fragments or cracks that can be hidden by kernel orientation.
Protecting the kernel while removing the defect
Defect removal is only profitable if good kernels stay saleable. WESORT’s published walnut materials describe intelligent anti-collision handling, a low-damage structure and high-speed spray-valve rejection. The buyer should verify breakage, abrasion and good-product carry-over using the plant’s own halves and pieces.
The official WESORT walnut solution page lists practical output groups such as light grades, deep grades, black kernels, red-black kernels, shrivelled kernels, shell and septum for different walnut varieties. That means the conversation can move beyond “good or bad” toward the exact product grades a customer buys.
See the WESORT walnut sorting solution for application examples and grade categories.
What to send for a professional test
- Normal production walnuts, not only selected showcase pieces.
- Confirmed black, mold-like, red-black and discolored kernels.
- Accepted light, amber and borderline kernels.
- Shell, septum and other foreign material from the real line.
- Your required grades, capacity and acceptable good-kernel carry-over.
Ask WESORT to return a test video or report showing each output, rejected-product purity, accepted-product recovery and breakage observations.
Make your walnut defect standard repeatable
Send WESORT your walnut variety, target defects, grade rules and representative samples. The team can build a colour-and-AI sorting recipe and recommend the right walnut kernel selection configuration.
Black, moldy and discolored walnut kernels are not simply “bad colour.” They may represent different grades, different causes and different commercial decisions. WESORT’s AI walnut kernel color sorter converts those visible quality rules into repeatable recipes, so processors can remove unacceptable kernels without throwing valuable light or amber product into the reject stream.
What does WESORT sort? Depending on the customer’s samples and grade standard, the system can be configured to separate black kernels, red-black kernels, mold-like surface marks, darkened kernels, shrivelled kernels, color deviations, shell, septum and other visible foreign material. Final separability must be confirmed with representative samples.
Why manual sorting struggles with walnut defects
Walnut kernels vary by origin, variety, storage condition and cracking result. A manual team may agree on an obvious black kernel but disagree on a borderline amber piece, a partially darkened surface or a kernel with a small visible spot. That inconsistency makes grade quality difficult to reproduce and makes export orders harder to standardise.
How WESORT sees the defect
The AI walnut selection machine combines deep-learning image analysis with intelligent CCD imaging. Its multi-angle imaging captures visible information from the kernel surface, while the sorting programme learns the customer’s accepted, rejected and borderline examples. The machine can evaluate colour, shape, size, texture and area rather than relying on one colour threshold.
For walnut processors, the AI Intelligent Walnut Selection Machine provides the core platform. Its published features include customised AI models, 360° image acquisition, an Italian high-precision magnetic levitation valve, stable vibration feeding, APP remote control and intelligent anti-breakage technology.
Black, moldy and discolored are different sorting instructions
| Target | What the buyer should define | How WESORT approaches it |
|---|---|---|
| Black or severely dark kernel | Whether every dark kernel is rejected or routed to a lower grade. | Use colour and surface reference samples to set the boundary. |
| Mold-like surface mark | Visible mark size, colour, location and customer tolerance. | Train the recipe on confirmed examples; do not claim hidden mold detection from surface vision. |
| Red-black or uneven colour | Whether it is a separate commercial grade or reject. | Create a dedicated output for the agreed grade instead of a single aggressive reject. |
| Shrivelled or incomplete kernel | Whether shape and size are part of the grade rule. | Combine visible shape, area and colour criteria where the sample supports it. |
| Shell, septum or foreign material | Which foreign objects must be removed before packing. | Use visible contrast and shape differences; add upstream cleaning or X-ray when the requirement is not optical. |
Why four-view inspection matters
A defect can sit on the top, underside or edge of an irregular kernel. WESORT’s QuadEye four-camera arrangement—top, bottom, left and right—provides more visible-surface information than a conventional two-view setup. This is especially valuable when the plant is removing small dark marks, wormholes, shell fragments or cracks that can be hidden by kernel orientation.
Protecting the kernel while removing the defect
Defect removal is only profitable if good kernels stay saleable. WESORT’s published walnut materials describe intelligent anti-collision handling, a low-damage structure and high-speed spray-valve rejection. The buyer should verify breakage, abrasion and good-product carry-over using the plant’s own halves and pieces.
The official WESORT walnut solution page lists practical output groups such as light grades, deep grades, black kernels, red-black kernels, shrivelled kernels, shell and septum for different walnut varieties. That means the conversation can move beyond “good or bad” toward the exact product grades a customer buys.
See the WESORT walnut sorting solution for application examples and grade categories.
What to send for a professional test
- Normal production walnuts, not only selected showcase pieces.
- Confirmed black, mold-like, red-black and discolored kernels.
- Accepted light, amber and borderline kernels.
- Shell, septum and other foreign material from the real line.
- Your required grades, capacity and acceptable good-kernel carry-over.
Ask WESORT to return a test video or report showing each output, rejected-product purity, accepted-product recovery and breakage observations.
Make your walnut defect standard repeatable
Send WESORT your walnut variety, target defects, grade rules and representative samples. The team can build a colour-and-AI sorting recipe and recommend the right walnut kernel selection configuration.
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