Monarch HWN Series AI-Driven Sorting System

Nuts sorting faces a challenge that RGB-camera-based system struggles 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 dual-sensor 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 discolorations and surface blemishes. Paired with high-performance air ejectors, the system achieves millisecond-level precision rejection of defects and contaminants.

By leveraging the complementary advantages of dual-sensor imaging, the system effectively addresses the persistent challenge of same-color contaminants that RGB-camera-based equipment struggles to detect. Empowered by AI-driven surface feature recognition algorithms trained on real production data through deep learning, the system continuously refines its detection accuracy. This means the equipment's performance is not static after deployment; instead, it continuously adapts and improves as production data accumulates, delivering stable and reliable sorting performance. This enables nuts processors consistently deliver batches with extremely low defect rates, safeguarding brand reputation, ensuring product quality and food safety, and meeting stringent industry and export standards.

Applications

Technical Features

● Tailored Sensor-Based Sorting System for Premium Nuts 

✦ Compact Single-Belt Structure

Features a quick-install design with a small footprint and flexible deployment.

✦ High-Performance Vibratory Feeder

Evenly distributes nuts into a single layer, effectively minimizing material overlap, and providing a stable material posture for high-precision detection.

✦ Easy-to-Clean Structural Design

Adopts food-grade stainless steel construction with a sealed camera chamber and electrical cabinet, effortlessly handling complex processing environments.

✦ Integrated Self-Cleaning System

Automatically cleans the camera chamber glass to continuously keep the scanning area clear, reducing manual intervention and downtime for cleaning, and ensuring continuous and stable equipment operation.

✦ Multi-Specification Model Portfolio

Offers belt widths of 400 mm, 800 mm, and 1200 mm, meeting 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

Delivers consistent full-spectrum illumination, with an air-cooled design that maintains stable light output during operation and extends lamp lifespan.

✦ 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, surface blemishes, and irregular shapes.

✦ Proprietary AI Deep Learning Algorithms

Enhances surface feature recognition and supports model retraining with real-world production data, continuously improving the 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 nuts defects based on surface features and spectral fingerprints, tailored for premium nuts processors, offering significant advantages over RGB-camera-based system:

✩ 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

● In-House High-Performance Air Ejector System

✦ Optimized Ejector Valve Design

Balances durability, response speed, and air consumption efficiency, maintaining stable performance even under long-term, high-frequency operation.

✦ High-Speed, High-Precision Ejection

Delivers millisecond-level response and precise material rejection, ensuring optimal sorting accuracy even under high-throughput conditions.

✦ Reduced Operating Costs

Significantly lowers the false reject rate, minimizing material waste from good products being incorrectly ejected, while optimizing air consumption to reduce overall operational expenses.

● 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

Specifications are approximate and subject to change without notice. Lauffer Vision reserves all rights for modifications.