Göttin VGV AI-Driven Sorting System

Tailored chute models for dehydrated vegetables sorting. Powered by AI-driven high-resolution VIS imaging and high-performance air ejectors, the system efficiently identifies and rejects discolorations, surface blemishes, and foreign material, delivering deep-learning–refined sorting precision.

Dehydrated vegetables present a unique sorting challenge: the drying process fundamentally alters the material's color, texture, and appearance, making it extremely difficult to distinguish surface defects from natural color variations. Foreign material such as stones, stalks, burnt fragments, and processing residues can be nearly indistinguishable from the product itself. Relying on manual inspection in such complex conditions is not only inefficient but also prone to missed defects due to visual fatigue, resulting in inconsistent quality that cannot meet the demands of modern processing.


The Göttin VGV Series is an intelligent vision-based sorting system tailored for this exact scenario. Powered by high-resolution RGB (HR-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 discolorations, surface blemishes, and foreign material.


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 dehydrated vegetable processors dramatically reduce labor dependency, consistently deliver batches with extremely low defect rates, and significantly boost both product quality and processing efficiency.

Applications


Technical Features

● Tailored Vision-Based Sorting System for Dehydrated Vegetables

✦ Robust and Durable Structure

Adopts high-strength carbon steel with anti-corrosion coating for the main body and food-grade stainless steel for all product-contact parts, meeting standard food safety requirements and engineered for long-term continuous operation in dehydrated vegetable processing environments.


✦ High-Performance Dual-Layer Vibratory Feeder

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


✦ Sealed Camera Chamber and Electrical Cabinet Design

Ensures stable operation of internal optical components and electrical systems, well-suited for dusty environments in dehydrated vegetable processing workshops.


✦ Integrated Self-Cleaning System

Automatically cleans the camera chamber glass, continuously maintaining a clear scanning area, reducing manual intervention and downtime for cleaning, and ensuring uninterrupted stable operation.


✦ Multi-Specification Model Portfolio
Offers configurations with 1, 4, 6, 8, 10, and 12 chutes, meeting diverse throughput requirements.


● AI Powered High-Precision Defect Inspection System

✦ High-Resolution RGB (HR-RGB) VIS Imaging

Clearly presents material surface features, providing reliable image input for AI algorithms to ensure the 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.


High-precision detection for various defects and foreign material based on surface features:

✩ Color Defects: Browning, discoloration, charred spots, mold, skin residues

✩ Shape Defects: Broken fragments, clumped pieces, deformed shapes, oversized, undersized

✩ Drying Defects: Uneven dehydration, sugar crystallization, rehydration stains

✩ Foreign Material: plastic/rubber fragments


● 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
Chute
Air Nozzle

Air Pressure

(MPa) 

Air Consumption

(L/min) 

Power

(kW)

Voltage

Dimension

(L*W*H)(mm) 

Weight*

(kg)

Göttin VGV1
1 64 0.6~0.8
<1000
0.9 220V~50/60Hz
1255×2199×2076
680

Göttin VGV4 

4 256 0.6~0.8
<2000 2.9 220V~50/60Hz
2170×2199×2076
1150
Göttin VGV6
6 384 0.6~0.8
<3000
4.4 220V~50/60Hz
2800×2199×2076
1480
Göttin VGV8  8 512 0.6~0.8
<4000
5.9 220V~50/60Hz
3430×2199×2076
1840

Göttin VGV10 

10 640 0.6~0.8
<5000
7.3 220V~50/60Hz
4070×2199×2076
2180
Göttin VGV12 12 768 0.6~0.8
<6000
8.8 220V~50/60Hz
4835×2199×2076
2550
Specifications are approximate and subject to change without notice. Lauffer Vision reserves all rights for modifications.