Göttin XVR Series AI-Driven Sorting System

The sorting precision required for premium rice far exceeds that of standard rice sorting. Conventional sorting primarily addresses the question of "whether obvious defects and foreign material are present," aiming to keep the finished product above the passing threshold. In contrast, premium rice sorting tackles the issue of "whether the appearance is sufficiently pure and consistent." Even a single imperfect kernel can compromise the flawless appearance and brand reputation expected by premium rice buyers. For large-scale rice processors serving discerning markets, the challenge is twofold: achieving ultra-high precision in surface defect rejection while meeting the high throughput and low loss demands of mass production. Neither can be compromised: insufficient precision prevents the finished product from reaching higher grades; inadequate throughput undermines economies of scale; and excessive loss wastes the economic value of premium raw materials. For this reason, premium rice sorting cannot simply follow the approach of conventional sorting; it requires systematic enhancements across imaging, algorithms, ejection, and other key processing stages.

The Göttin XVR Series, an evolution of the Göttin VR Series, is an intelligent vision-based sorting system tailored for this exact scenario. Equipped with ultra-high-resolution RGB (UHR-RGB) VIS imaging technology and proprietary AI deep learning algorithms, it performs real-time scanning and surface feature analysis on rice. Coupled with high-performance air ejectors, it achieves ultra-high precision rejection of imperfect kernels and foreign material within milliseconds. From feeding and imaging to recognition and ejection, every stage is collaboratively designed around the quality requirements of premium rice, forming a complete sorting solution for large-scale production.

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 premium rice processors consistently deliver batches with extremely low defect rates, meeting the quality demands of high-end markets while supporting high-throughput continuous production, and ensuring that large-scale production and high-standard quality are no longer mutually exclusive.

Applications

Technical Features

● Tailored Vision-Based Sorting System for Premium Rice

✦ High-Density Nozzle Configuration

Ensures more precise targeting, faster response times, and maximized sorting efficiency by increasing the nozzle count from 64 to 88 per chute.

✦ 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 rice processing environments.

✦ High-Performance Vibratory Feeder

Evenly distributes rices 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 rice 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 6, 8, 10, and 12 chutes, meeting diverse throughput requirements.

● AI Powered 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.

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

✩ Discolored Grains: Yellow rice, red rice, black/dark spots

✩ Diseased/Moldy Grains

✩ Broken/Cracked Grains

✩ Immature Grains/Green Rice

✩ Foreign Material: Husks, straw, stones, glass, plastic, metal

● Ultra-High-Performance Air Ejector System

✦ Denser Nozzle Array

Effectively reduces the chance of imperfect kernels or impurities slipping through nozzle gaps, further enhancing sorting accuracy.

✦ Unlocks Maximum Throughput

Delivers higher throughput and boosted production efficiency while maintaining sorting quality, fully compatible with ultra-high-resolution optical systems.

✦ Lower Loss, Lower Energy Consumption

Significantly reduces the ‘ejection ratio’, minimizing the loss of good rice, increasing the yield rate, and optimizing compressed air consumption.

● 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