Grün HCD Series AI Optical 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. For C&I waste recyclers worldwide, the ability to accurately identify and separate key material fractions at industrial throughput — without sacrificing purity or recovery rate — is the key to transforming complex, mixed waste into clean, high-value secondary raw materials that meet the demanding feedstock requirements of downstream recycling operations. Intelligent vision-based sorting is the key to delivering reliable, high-precision separation at the scale that modern waste management demands.

The Grün HCD Series is an intelligent vision-based sorting system custom-designed for C&I waste recyclers worldwide. Leveraging high-resolution RGB (HR-RGB) imaging technology powered by proprietary AI algorithms, the system identifies and separates key material fractions — including plastics, paper, cardboard, metals, glass, and organic waste — from complex commercial and industrial waste streams based on surface features, with high-speed air ejection ensuring precise material separation at industrial throughput.

AI-driven surface feature recognition algorithms — trained on real-world production data using deep learning — ensure consistently high sorting accuracy across diverse C&I waste compositions and contamination profiles — helping processors maximize material recovery, deliver high-purity secondary raw materials, and meet the exacting quality standards of downstream recycling with unmatched confidence.

Technical Features

●High-Resolution RGB Camera System

✦ Market-leading high-precision detection of C&l waste components (e.g., plastics, paper, cardboard, metals, glass and organic waste) based on surface features, enabling clean separation of high-purity recyclable fractions from mixed commercial and industrial waste streams.

●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 waste materials 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 Applications

●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.

Benefits

●Maximizes recovery of high-value recyclables

●Reduces reliance on manual sorting

●Delivers consistent sorting performance at high throughput

●Supports circular economy and regulatory compliance

●Reduces landfill disposal and associated costs

●Adapts to evolving waste compositions

Specifications