Grün HDF-R Series AI Optical Sorting System

Non-ferrous metal concentrates present a sorting challenge where visual similarity masks critical material differences — copper, brass, bronze, stainless steel, and zinc fractions often share overlapping color tones and surface appearances, making reliable identification by human operators both inconsistent and labor-intensive. For non-ferrous metal recyclers, the ability to precisely distinguish and recover specific metal fractions based on subtle visual characteristics is the key to producing high-quality concentrates that command premium market pricing and meet the strict feedstock specifications of downstream smelters and refiners. Intelligent optical sorting is the key to transforming mixed non-ferrous streams into clean, metal-specific concentrates — efficiently, reliably, and at scale.

The Grün HDF-R Series is a high-precision optical sorting system custom-designed for the production of high-quality non-ferrous metal concentrates. Leveraging high-resolution RGB (HR-RGB) imaging technology powered by state-of-the-art AI algorithms, the system precisely identifies and recovers specific metal fractions from material streams based on color variation and surface texture — maximizing both recovery value and recycling efficiency.

AI-driven defect recognition algorithms — trained on real-world production data using deep learning — ensure consistently high sorting accuracy across diverse non-ferrous compositions and surface conditions — helping processors maximize metal-specific recovery, minimize concentrate contamination, and deliver high-purity non-ferrous output that meets the exacting standards of downstream smelting and refining with unmatched confidence.

Technical Features

● High-Resolution RGB Camera System

Market-leading high-precison detection to non-ferrous metals (e.g., copper, aluminum, zinc) according to color, size, shape, thickness and texture differences.

● 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.

● High-Intensity LED Illumination System

Enhanced identification of surface characteristics and features of targeting non-ferrous metal fractions, minimizing 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.

● Versatility and Fast ROI

One machine handles a variety of scenarios and payback in 6-18 months by non-ferrous metal scraps recovery.

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

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

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

Specifications