Grün VFG Series AI Optical Sorting System

Dry glass recycling presents a sorting challenge where subtle visual differences carry outsized commercial consequences — mixed container glass, MRF glass, and flat glass streams contain a complex blend of color variants, opaque contaminants, ceramics, stones, and heat-resistant glass, all varying in shape, brightness, and transparency across the 4–70 mm particle range. For glass recyclers, the ability to accurately classify glass by color and type while simultaneously detecting and removing non-glass impurities is the key to producing clean, furnace-ready cullet that meets the strict quality specifications of glass manufacturers and commands premium market pricing. Intelligent vision-based sorting is the key to transforming mixed dry glass streams into high-purity, high-value recycled material.

The Grün VFG Series is an intelligent vision-based sorting system custom-designed for dry glass recycling. Leveraging high-resolution RGB (HR-RGB) imaging technology powered by proprietary AI algorithms, the system accurately sorts specific glass types from dry container glass, MRF glass, or flat glass in the particle range of 4–70 mm through visual analysis and impurity detection — evaluating color, shape, brightness, and transparency to enhance recycling purity and material value.

AI-driven surface feature recognition algorithms — trained on real-world production data using deep learning, with sorting precision refined continuously — ensure consistently high sorting accuracy across diverse glass compositions and contamination profiles — helping processors maximize cullet purity, eliminate costly impurities, and deliver recycled glass that meets the exacting quality standards of downstream manufacturing with unmatched confidence.

Technical Features

● High-Precision Inspection System

Powerful combination of High-Resolution RGB Camera System and optional NIR Camara System accurately detect glass colors (flint, amber, green, etc.) and contaminants (ceramics, stones, porcelain, metals, and plastics).

● Proprietary AI Deep Learning Algorithms

Innovative simulation of manual picking operation by teaching and training the intelligent sorting system all the standards and features of identification and sorting. AI algorithms continuously improve sorting accuracy, with models retrained on new production samples via deep learning.

● Wear-Resistant Design

Chutes made of special alloy resist glass abrasion for long-term durability.

● High-Intensity LED Illumination System

Enhanced detection of characteristics and features of cullet materials and contaminants minimizes false rejects.

● Reliable High-Performance Air Ejector System

Powerful high-speed air ejectors designed and produced in-house ensure accurate rejection and reliable performance at high-capacity sorting.

Typical Application Scenarios

✦ Glass Recycling Plants

✦ Bottle-to-Bottle Recyclers

✦ Solar Glass Producers

Specifications