Grün HDF-R Series AI-Driven Sorting System

In the further value extraction from mixed non-ferrous metal scrap, the industry faces a sorting challenge: after shredding, various metal fractions exhibit diverse colors, textures, sheen, and morphological features, posing significant challenges for manual operators on high-speed production lines.

The Grün HDF-R Series is an intelligent vision-based sorting system tailored for this exact scenario. It employs high-resolution RGB (HR-RGB) VIS imaging and proprietary AI deep learning algorithms to perform real-time scanning and surface feature analysis on mixed non-ferrous scrap. Coupled with high-performance air ejectors, it efficiently identifies and recovers target metal fractions from the material stream within milliseconds, based on distinctive surface signatures.

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 non-ferrous scrap recyclers significantly boost recycling efficiency and commercial value.

Technical Features

● 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.

● Innovative Dual-Belt Sorting Structure

Improves yield and product recovery while reducing high-value fraction loss.

✩ High-sensitivity sorting is performed on the upper level to establish extremely high purity of the main material stream; 

✩ Secondary re-inspection of upper-level rejects is conducted on the lower level, ensuring effective recovery of high-value fractions mixed within.

● 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.

● In-House High-Performance Air Ejector

Delivers high-precision material rejection and ensures long-term stable operation even under high-throughput sorting conditions.

● Multi-Specification Model Portfolio

Offers two models with belt widths of 600 mm  and 1200 mm, meeting diverse throughput requirements.

Typical Application Scenarios and Benefits

✦ Metal Recycling Plants: Reduce smelting impurities & energy consumption

✩ Extract copper/aluminum from mixed scraps (copper, aluminum, zinc, stainless steel) with efficiency and high purity.

✦ Auto Dismantlers: Improves recovery rates and profitability

✩ Extract high-value copper wires from shredder residue to boost profit per ton, distinguishing copper (reddish-brown) from aluminum (silver-white).

✦ Battery Recyclers: Avoids hydrometallurgy risks

✩ Recover high-value electrode by detection to copper (purple-red) and aluminum (silver-white), targeting unpeeled areas.

✦ E-Waste Processors: Boost revenue, cut labor cost and reduce landfill waste

✩ Extract gold-plated contacts from discarded mobile phone boards to increase refining profits.

✦ Appliance Recycling: Purely physical sorting, no burning/chemicals

✩ Sorts copper tubes (reddish-brown) and aluminum heat sinks (silver-white) from refrigerators/AC units.

✩ Separates copper windings (shiny) from silicon steel (matte) in washing machine motors mix.

Specifications