Grün HCD Series AI-Driven Sorting System

Commercial and industrial waste presents a sorting challenge defined by extreme material heterogeneity: C&I waste streams contain an unpredictable mix of plastics, paper, cardboard, metals, glass, and organic waste, all varying widely in surface features, and arriving in volumes that make manual sorting both economically unviable and operationally inconsistent.

The Grün HCD Series is an intelligent machine-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 of complex commercial and industrial waste streams. Combined with high-performance air ejectors, the system efficiently identifies and separates key material fractions, including plastics, paper, cardboard, metals, glass, and organic waste.

Empowered by AI-driven surface feature recognition algorithms, the system can conduct deep learning training based on real production data, continuously optimizing the machine vision detection accuracy. This means the equipment’s performance is not fixed at the time of factory shipment; instead, it continuously adjusts and improves with the accumulation of production data, delivering stable and reliable sorting performance to help processors transform complex, mixed waste into clean, high-value secondary raw materials, and meet the demanding quality standards of downstream recycling operations.

Technical Features

●High-Resolution RGB (HR-RGB) Imaging

Clearly presents surface features of the material, providing reliable image input for AI algorithms. Efficiently identifies C&l waste components (e.g., plastics, paper, cardboard, metals, glass and organic waste).

●Proprietary AI Deep Learning Algorithms

Trained against comprehensive identification and sorting standards, the system uses deep learning to replicate the surface-feature judgment logic of manual picking. The AI model can be continuously optimized with new production data, driving ongoing improvements in sorting accuracy.

●High-Intensity LED Illumination

Maintains a constant imaging environment with clear, stable images unaffected by ambient light variations, ensuring consistent detection results across different periods and batches.

●High-Performance Air Ejector

Equipped with in-house, high-power, high-speed air ejectors, the system delivers high-precision material rejection and ensures long-term stable operation even under high-throughput sorting conditions.

●Mixed C&I Waste Sorting

Automated sorting of mixed C&I waste into key material fractions — including plastics, paper, metals, glass, and organics — improving overall recycling rates and material recovery efficiency.

●Plastics Sorting

High-precision separation of plastics — including PET, HDPE, PP, LDPE, PVC and PS — from mixed C&I waste streams, enabling high-purity material recovery for closed-loop recycling.

●Metal Recovery

Recovery of ferrous and non-ferrous metals — including aluminum cans, steel containers and copper components — from C&I waste streams, supporting high-value metal recycling.

●Glass Sorting

Separation of glass by color and type from mixed waste, producing clean glass cullet ready for remelting and new container manufacturing.

●Organic Waste Separation

Identification and separation of organic waste from mixed C&I waste streams, enabling composting or anaerobic digestion while reducing contamination in recyclable fractions.

Specifications