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 discoloration, black spots, and mold. Additionally, frozen clumps and adhering defective products, defects specific to IQF scenarios, further intensify the sorting difficulty.
The Legende HDF Plus Series is an intelligent machine-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 off-color particles, surface defects, clumps, adhesion, and foreign materials within milliseconds.
Empowered by AI-driven surface feature recognition algorithms, the system can conduct deep learning training based on real production data, continuously optimizing the visible defect detection accuracy. This means the equipment’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 help 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 Machine-Vision-Based Sorting System for IQF Fruits and Vegetables
✦ Innovative dual-belt structure
✩ Upper Primary Sorting Belt
Applies stringent rejection standards to efficiently remove surface defects, drastically reducing missed detections.
✩ Lower Secondary Sorting Belt
Performs re-inspection on rejected materials, efficiently recovering good products to boost overall yield.
✦ High-Performance Waterproof Vibratory Feeder
Offers multiple customized solutions for different IQF frozen fruits and vegetables categories, evenly distributing materials into a single layer. This effectively minimizes overlapping and adhesion, providing a stable material posture for high-precision detection.
✦ Rigorous Hygiene and Easy-to-Clean Design
Featuring the food-grade stainless steel structure, the reinforced sealed camera chamber and electrical cabinet, the system is built to withstand high-frequency high-pressure washing and sterilization. Combined with the quick-change belt and round-tube frame design, it significantly reduces the risk of sanitation dead zones, making daily maintenance convenient and efficient.
✦ 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 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 two belt width models (1200mm and 1800mm) to meet diverse throughput capacity 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 in surface defect recognition.
✦ 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 machine vision detection for various IQF fruits and vegetables defects 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 Materials: Stones, soil clumps, plastic/rubber fragments, wood chips
● 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
Belt Width
(mm)
Air Nozzle
Air Pressure
(mpa)
Air Consumption
(m3/min)
Voltage
Power
(kw)
Dimension
(mm)
Unpacked Weight
(kg)
Model
Legende HDF4 Plus
1200
512
0.6~0.8
<4.1
220V~50/60Hz
9.1
5456×2329×2731
2680
Legende HDF6 Plus
1800
768
0.6~0.8
<4.1
220V~50/60Hz
13.5
5448×2968×2735
3400