Legende QC Series AI-Driven Inspection System

Even after primary sorting, stubborn contaminants such as hair, fibers, and low-density plastics can still slip through — posing serious risks to food safety, regulatory compliance, and brand reputation. Manual inspection at the final stage is not only slow and inconsistent, but also prone to missed defects due to visual fatigue, making it increasingly unable to keep pace with high-speed production lines.

The Legende QC Series is an intelligent vision-based quality inspection system tailored for this scenario. Powered by ultra-high-resolution RGB (UHR-RGB) VIS imaging and proprietary AI deep learning algorithms, the system performs real-time scanning and surface feature analysis on dehydrated vegetables, and, paired with high-performance air ejectors, achieves millisecond-level precision rejection of stubborn contaminants such as hair, fibers, and low-density plastics.

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. Its detection capabilities surpass the limitations of manual inspection, enabling dehydrated vegetable processors strictly control product quality before packaging and providing solid assurance for food safety.

Applications

Technical Features

● Tailored Ultimate Quality Guardian for Dehydrated Vegetables    

✦ Top-Down Belt Scanning

Replicates the manual quality inspection process, capturing stubborn contaminants missed during primary sorting, such as hairs, fibers, and low-density plastics, with ultra-high precision.

✦ Compact Single-Belt Structure

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

✦ High-Performance Triple-Layer Vibratory Feeder

Evenly distributes dehydrated vegetables 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 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.

● AI Powered Ultra-High-Precision Defect Inspection System

✦ Ultra-High-Resolution RGB (UHR-RGB) VIS 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 inspection of stubborn contaminants in dehydrated vegetables, based on surface feature analysis:

✩ Hair

✩ Fibers

✩ Low-density plastics

● High-Performance Rejection System

✦ Optional air ejector system and drop flap rejection system

✦ Engineered for ultimate quality control — delivering zero-tolerance rejection and reliable performance

● 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