Legende HF Plus Series AI-Driven Sorting System

Tailored single-belt models for IQF fruits and vegetables sorting to the highest hygiene standards. Powered by AI-driven ultra-high-resolution VIS imaging and high-performance air ejectors, the system efficiently identifies and rejects discolorations, surface blemishes, clumps, adhesion, and foreign material, delivering deep-learning–refined sorting precision.

IQF (Individually Quick Frozen) fruits and vegetables present unique sorting challenges distinct from fresh vegetables. Handling products in low-temperature environments leads to significant physical exhaustion for manual pickers during prolonged shifts, often resulting in missed detections due to visual fatigue. Meanwhile, surface frost and particle adhesion can obscure defects such as discolorations, black spots, and mold. Additionally, frozen clumps and adhering defective products, defects specific to IQF scenarios, further intensify the sorting difficulty.


The Legende HF Plus series is an intelligent vision-based sorting system tailored for this scenario. It employs ultra-high-resolution RGB (UHR-RGB) VIS imaging and proprietary AI deep learning algorithms to scan IQF fruits and vegetables. By analyzing color, shape, texture, and edge features, and equipped with high-performance air ejectors, it achieves ultra-high-precision rejection of discolorations, surface blemishes, clumps, adhesion, 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 IQF fruit and vegetable processing plants significantly reduce reliance on manual labor, consistently deliver batches with extremely low defect rates, ensure food safety, and markedly enhance product quality and processing efficiency.

Applications

Technical Features

Tailored Vision-Based Sorting System for IQF Fruits and Vegetables 

Compact Single-Belt Structure

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


High-Performance Waterproof Vibratory Feeder

Offers multiple customized solutions for different IQF frozen fruits and vegetables categories, evenly distributing materials into a single layer, effectively minimizing overlapping and adhesion, and providing a stable material posture for high-precision detection.


Food-Grade Hygienic Design

✩ Adopts food-grade stainless steel construction with reinforced sealed camera chamber and electrical cabinet, withstanding high-frequency high-pressure washing and sterilization.

✩ Utilizes quick-change belt and round-tube frame design, eliminating sanitation dead zones and simplifying daily maintenance.


✦ Built-in Humidity Control System

Ensures the stable operation of internal optical components and electrical systems, meeting the stringent environmental requirements of IQF fruits and vegetables processing workshops.


Integrated Self-Cleaning

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 1200 mm and 1800 mm, meeting diverse throughput requirements.


AI Powered Ultra-High-Precision Defect Inspection System

✦ Ultra-High-Resolution RGB (UHR-RGB) Imaging 

Presents material surface features with ultra-high clarity, providing more reliable image inputs for AI algorithms, and ensuring greater accuracy and stability of visual recognition.


✦ 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 for various defects and foreign material based on surface features:

Color Defects: Discoloration, mold, rot

Shape Defects: Misshapen, deformed, oversized, undersized, broken

Surface Damage: Bruises, cuts, abrasions, crushing, scars, cracks, shriveling

Biological Contaminants: Insect damage, leaf/stem residues, other vegetable debris

Foreign Material: Stones, soil clumps, plastic/rubber fragments, wood chips


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

Model

Belt Width

(mm)

Air Nozzle

Air Pressure

(MPa)

Air Consumption

(m3/min)

Voltage

Power

(kW)

Dimension

(mm)

Unpacked Weight

(kg)

Legende HF4 Plus

1200 256 0.6~0.8 <3.6 220V~50/60Hz 4.8 5271×2330×2077 1725
Legende HF6 Plus
1800 384 0.6~0.8
<3.6
220V~50/60Hz
6.8 4547×2964×2100
1425

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