Grün HCD Series AI Optical Sorting System

Construction and demolition waste presents a sorting challenge defined by extreme material diversity and abrasive operating conditions — C&D waste streams contain a dense, unpredictable mixture of aggregates, wood, metals, plastics, gypsum, and inert debris, all varying widely in surface features, and arriving in volumes that make manual sorting both economically unviable and operationally inconsistent. For C&D 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 demolition debris into clean, high-value secondary raw materials that meet the demanding feedstock requirements of downstream recycling and construction applications. Intelligent vision-based sorting is the key to delivering reliable, high-precision separation at the scale that modern C&D recycling demands.

The Grün HCD Series is an intelligent vision-based sorting system custom-designed for C&D 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 aggregates, wood, metals, plastics, and gypsum — from complex construction and demolition 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&D 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 and construction applications with unmatched confidence.

Technical Features

●High-Resolution RGB Camera System

✦ Market-leading high-precision detection of C&D waste streams (e.g. aggregates, wood, metals, plastics, and gypsum) based on surface features, enabling clean separation of inerts from recyclable fractions to maximize secondary raw material recovery.

●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. 

●Mixed C&D Waste Sorting

✦ Automated sorting of mixed C&D waste into key material fractions — including wood, metals, plastics, aggregates, and inert materials — improving recycling efficiency, product quality, and material recovery.

●Aggregates Recycling

✦ High-precision sorting of C&D waste — including concrete, bricks, ceramics, and mixed aggregates — based on surface features, delivering high-purity recycled aggregates suitable for construction and infrastructure applications.

●Wood Waste Recycling

✦ Real-time identification and removal of impurities — including stones, metals, plastics, and inerts — from wood waste streams, producing cleaner wood fractions suitable for engineered wood, panel, or biomass applications.

●Metal Waste Recycling

✦ Removal of residual ferrous and non-ferrous metals — including cables and grain sizes as small as 3 cm — from mixed C&D waste streams, supporting high-quality metal recovery and cleaner downstream recycling.

●Plastics & Light Fraction Separation

✦ Separation of plastics, foils, foams, and other light fractions from C&D waste streams, improving the purity of recyclable materials and reducing contamination in downstream recycling processes.

●Gypsum & Problematic Contaminant Separation

✦ Identification and removal of gypsum and other problematic contaminants from C&D waste streams, helping to protect product quality and support safe, compliant recycling.

Benefits

●Maximizes recovery of secondary raw materials

●Delivers consistent sorting performance at high throughput

●Reduces manual sorting labor and associated safety risks

●Eliminates uncontrolled landfill disposal

●Lowers the carbon footprint of processing operations

●Reduces transportation and disposal costs

Specifications