Grün HDF-R Series AI-Driven Sorting System

E-scrap shred recycling presents a core challenge defined by extreme material complexity: e-scrap streams are mixed with high-value engineering plastics, copper, and aluminum, commingled in unpredictable combinations, with varying particle sizes, shapes, and surface features.

The Grün HDF-R Series is an intelligent vision-based sorting system tailored 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 e-scrap shreds. Coupled with high-performance air ejectors, it efficiently identifies and recovers high-value fractions such as plastics, copper, and aluminum from material streams within milliseconds, based on surface feature differences.

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 e-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 Applications

● Plastic Sorting

✦ Separates engineering plastics such as ABS, PC, and PP by color and surface feature variations (burnt/oxidized material).

✦ Distinguishes matte black ABS from glossy black PC by detecting surface gloss variation and subtle color differences (a separation that is visually indistinguishable under standard lighting).

* For polymer-type identification and material-grade separation, Lauffer offers the VPMC series, equipped with SWIR imaging technology for precise classification of ABS, PC, PP, and other engineering plastics by chemical composition.

● Appliance Sorting

✦ Separates copper tubes (reddish-brown) from aluminum heat sinks (silver-white) in refrigerator and air conditioner shredder output.

✦ Separates copper windings (high reflectivity) from silicon steel sheets (low reflectivity) in washing machine motor shredder mixes.

● Battery Sorting

✦ Recovers high-value electrode materials from shredded lithium-ion battery cell fractions by distinguishing copper foils (reddish-purple) from aluminum foils (silver-white), enabling clean separation of anode and cathode current collectors for downstream hydrometallurgical processing.

Specifications