Legende HSF Series AI-Driven Sorting System

The sorting of premium blueberries faces deep-seated challenges that traditional optical systems struggle to address. Defects such as internal bruising, latent mold, and abnormal moisture levels often do not manifest as surface discoloration or physical damage. As a result, neither the human eye nor RGB visible-light cameras can detect these issues in time during the sorting process. For processors supplying high-end blueberries, these invisible hazards pose significant quality risks: fruits with hidden defects may deteriorate further during storage, transportation, or shelf display, severely impacting product quality, shelf life, and brand reputation. This can even lead to customer complaints and returns, weakening the company's competitiveness in the premium market.

The Legende HSF Series is an intelligent dual-sensor sorting system tailored for this exact scenario. By deeply integrating hyperspectral imaging (HSI) with high-resolution RGB (HR-RGB) VIS imaging technology, and leveraging proprietary AI deep learning algorithms, it performs real-time scanning of blueberries to conduct dual non-destructive evaluation of both internal and external quality. Paired with high-performance air ejectors, it achieves ultra-high-precision rejection of defective berries and foreign material within milliseconds.

Empowered by AI-driven surface feature recognition, the system continuously learns from real production data, steadily improving 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 blueberry processors consistently deliver batches with extremely low surface defect rates. Meanwhile, hyperspectral imaging (HSI) efficiently identifies hidden defects that are difficult to detect with conventional methods, breaking through the technical limitations of traditional VIS imaging. This intelligent dual-sensor sorting system helps processors reduce false rejection rates and reliance on manual labor while ensuring high rejection accuracy, achieving more reliable and intelligent quality control for premium blueberries.

Technical Features

● Tailored Sensor-Based Sorting System for Premium Blueberry

✦ Compact Single-Belt Structure

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

✦ High-Performance Vibratory Feeder

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

✦ Easy-to-Clean Structural Design

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

✦ Integrated Self-Cleaning System

Automatically cleans the glass of the camera chamber 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 600 mm and 1200 mm, meeting diverse throughput requirements.

● AI Powered Ultra-High-Precision Defect Inspection System

✦ HSI Hyperspectral Imaging

Captures spectral features pixel-by-pixel to efficiently detect hidden defects, such as bruises, rot, unripe fruit, and foreign material that standard industrial cameras struggle to identify, enabling in-depth quality assessment from the surface to the internal structure.

✦ 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 (HR-RGB) VIS Imaging

Clearly renders surface characteristics to provide reliable image input for AI algorithms. Complements hyperspectral imaging to build a more comprehensive quality evaluation system.

✦ 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.

Based on multi-dimensional features, the system achieves ultra-high-precision inspection for a wide variety of defects and foreign material.

✩ Soft berry detection: Internal water/sugar analysis

✩ Color grading: Separation by ripeness (dark/light blue/unripe) for uniform appearance

✩ Defect detection: Mold, shriveled, cracked, or scarred berries

✩ Foreign material removal: Stems, insects, plastic

● 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