Nut sorting faces a challenge that traditional VIS systems struggle to overcome: shells and foreign material are highly similar to good products in both color and appearance. Relying solely on VIS imaging makes it difficult to distinguish them, posing a serious quality and brand threat to processors serving high-end retail, confectionery, and foodservice markets.
The Monarch HWN Series is is an intelligent machine-vision-based sorting system tailored for this exact scenario. Through the deep integration of dual-band InGaAs-SWIR (Short-Wave Infrared) imaging and high-resolution RGB (HR-RGB) VIS imaging, combined with proprietary AI deep learning algorithms, the system combines internal chemical composition analysis with surface feature recognition, extending its detection capabilities far beyond single VIS imaging. Specifically, the SWIR imaging efficiently identifies shells and foreign material that are visually indistinguishable from good products and undetectable by VIS imaging, while the VIS imaging handles the detection of conventional surface feature defects. Paired with high-performance air ejectors, the system achieves millisecond-level precision rejection of color variations, surface defects, and foreign material.
By leveraging the complementary advantages of dual-sensor imaging technology, the system effectively solves the persistent challenge of "same-color foreign material" that traditional equipment struggles to address. Empowered by AI-driven surface feature recognition algorithms trained on real production data through deep learning, the system continuously refines its visible defect detection accuracy over time. This means the machine's performance is not fixed at the time of factory shipment; instead, it continuously adjusts and improves with the accumulation of production data, delivering stable and reliable sorting performance to nut processors consistently deliver batches with extremely low defect rates, safeguarding brand reputation with reliable sorting performance, ensuring product quality and food safety, and meeting stringent industry and export standards.
Applications

Technical Features
● Tailored Machine-Vision-Based Sorting System for Premium Nuts
✦ Compact Single-Belt Structure
Quick-install design with a small footprint and flexible deployment, adapting to nuts processing lines of various scales.
✦ High-Performance Vibratory Feeder
Evenly distributes nuts into a single layer, effectively minimizing material overlap and providing stable product presentation for high-precision inspection.
✦ Easy-to-Clean Structural Design
Constructed with food-grade stainless steel, featuring a sealed camera chamber and electrical box, effortlessly handling complex processing environments.
✦ Integrated Self-Cleaning
Automatically cleans the glass of the camera chamber to continuously keep the scanning area clear. This reduces manual intervention and downtime for cleaning, ensuring continuous and stable equipment operation.
✦ Multi-Specification Model Portfolio
Available in 400 mm, 800 mm, and 1200 mm belt width configurations to meet diverse throughput requirements.
● AI Powered Ultra-High-Precision Defect Inspection System
✦ Dual-Band InGaAs-SWIR Imaging
Captures images across two short-wave infrared bands, efficiently identifying shells and foreign material that are visually indistinguishable from good products and undetectable by RGB visible-light cameras.
✦ High-Stability Halogen Illumination
Provides stable illumination across the full spectral range. The air-cooled design helps maintain consistent light output during operation and extends lamp service life.
✦ High-Resolution RGB VIS Imaging
Delivers high-precision surface imaging and accurate color reproduction, enabling the detection of surface feature defects such as shell discoloration, visible blemishes, and irregular shapes.
✦ Proprietary AI Deep Learning Algorithms
Enhances surface feature recognition capabilities and supports model retraining based on real-world production data, achieving continuous optimization of visible defect detection accuracy through deep learning.
✦ High-Intensity LED Illumination
Guarantees a constant imaging environment with clear and stable images, unaffected by external light changes, ensuring consistent detection results across different time periods and batches.
Ultra-high-precision detection of nut defects based on surface features and spectral fingerprints, tailored for premium nut processors, offering significant advantages over traditional VIS systems:
✩ Efficiently identifies shells with colors closely matching the nuts — a task that is challenging for RGB visible-light cameras
✩ Efficiently identifies foreign material such as plastics, stones, glass, and metals with colors closely matching the nuts — which are difficult to detect with VIS imaging
✩ AI-driven recognition of surface feature defects including shell discoloration, visible blemishes, and irregular shapes, with detection accuracy continuously optimized through deep learning
● High-Performance Air Ejector System
✦ Optimized Design
The ejector valve structure is optimized to balance durability, response speed, and air consumption efficiency, maintaining stable performance even under long-term, high-frequency operation.
✦ High Efficiency and Stability
Optimized for high-throughput sorting conditions, it maintains stable ejection performance within reasonable parameter ranges, balancing throughput and sorting accuracy.
✦ Cost Reduction
Significantly reduces the false reject rate, minimizing raw material waste from good products being incorrectly ejected, while optimizing air consumption to reduce overall operational costs.
● 15-Inch Industrial Touchscreen Control System
✦ Intuitive Interaction
User-friendly human-machine interface (HMI) with multi-language support.
✦ One-Click Switching
Quickly recalls sorting parameters for different products.
✦ Comprehensive Remote Support
✩ Remote access and real-time monitoring
✩ Performance data dashboard
✩ Online expert diagnostics
✩ Interactive troubleshooting
Specifications
|
Model |
Belt Width (mm) |
Air Nozzle |
Air Pressure (MPa) |
Air Consumption (m3/min) |
Voltage |
Power (kW) |
Dimension (mm) |
Unpacked Weight (kg) |
|
Monarch HWN1 |
400 | 80 | 0.6~0.8 | <1.2 | 220V~50/60Hz | 5.2 | 3960×1441×2315 | 960 |
|
Monarch HWN2 |
800 | 160 |
0.6~0.8 |
<2.4 |
220V~50/60Hz |
6.3 |
3960×1841×2315 |
1165 |
|
Monarch HWN3 |
1200 | 240 |
0.6~0.8 |
<3.6 |
220V~50/60Hz |
7.5 |
3960×2241×2415 |
1349 |
Specifications are approximate and subject to change without notice. Lauffer Vision reserves all rights for modifications.