Used clothing, used home textiles, waste non-woven fabrics, textile production scraps




Industries
Two Business Sectors Municipal Solid Waste and Resource RecoveryCity-Wide Solutions
Covering household waste, construction & demolition waste, organic waste, plastic recycling, and incineration bottom ash recovery.Lithium Battery, Solar Panel & Metal Recycling
Full-lifecycle resource recovery for new energy recycling, e-waste, and secondary metals.Products
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A software-hardware integrated platform combining atomic-level perception with micron-level execution.Intelligent Arteries of Material Flow
Integrated intelligent pipeline and dynamic conveying systems that make every material movement transparent and traceable.The Tactile Sense and Brain of Material Flow
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Software-defined standardized mechanical sorting units supporting high-throughput physical separation.The Neural System of Industrial Intelligent Control
Next-generation industrial intelligent control and edge computing platform.
Municipal Solid Waste / Waste Textile Processing
Waste textile recycling is a critical initiative for advancing green development. From an environmental perspective, it effectively reduces pollution from landfill and incineration, lowers resource consumption and carbon emissions, and supports ecological conservation. From an economic perspective, it enables circular utilization of waste resources, reduces raw material costs, and fosters new industrial chains and jobs. The industry still faces many challenges, especially in the "pre-processing and sorting stage" where mixed materials, complex compositions, and insufficient automated sorting technology lead to low efficiency and high costs, creating key bottlenecks that constrain large-scale, high-value utilization.
SOLUTION
We specialize in the waste textile resource recovery and regeneration sector, offering a dedicated full-suite physical recycling solution that covers intelligent sorting, precision cutting, deep impurity removal, and high-value utilization of used clothing across the entire chain. The core of our solution integrates hyperspectral imaging recognition with AI-powered algorithms, paired with customized cutting processes, to overcome traditional sorting pain points, ensure recycled material purity meets standards, and help customers expand into diverse high-value applications such as recycled fibers.

INPUT & OUTPUT
Used clothing, used home textiles, waste non-woven fabrics, textile production scraps




Cotton fabric, acrylic fabric, polyester fabric, nylon fabric




CORE TECHNOLOGY
The system integrates hyperspectral recognition, machine vision, and X-ray technology to achieve textile composition analysis (>=98%), color classification (>=98%), and hard object detection. Hyperspectral analysis resolves fiber material composition, vision algorithms precisely identify colors, and X-ray simultaneously detects metal/hard foreign objects (such as buttons and zippers), ensuring efficient and safe sorting.

The system integrates self-learning algorithms and autonomous model updates to dynamically optimize recognition accuracy, adapt to new fabric types, and filter anomalous data, continuously enhancing detection reliability. It supports remote debugging to reduce O&M costs and features a modular conveyor design that allows flexible adjustment of conveyor belt layout and quantity to accommodate different plant structures and capacity requirements, enabling rapid deployment and expansion.

ADVANTAGES
Leveraging proprietary + AI core technology, we achieve precise identification of waste textile composition and foreign objects, with pure-component recognition accuracy exceeding 98%, blended fabric identification error <=2%, and sorting speed of 1.5 seconds per item — a 5-8x efficiency improvement over traditional manual sorting. This completely resolves the core industry pain points of difficult blended-fabric separation, low sorting precision, and inefficiency, significantly enhancing resource recovery utilization rates.
Our modular design allows the conveyor system to be flexibly combined with components added or removed as needed, adapting to plants of varying scales and site configurations. It meets the large-scale sorting demands of major waste textile processing plants while also accommodating the lightweight processing needs of small and medium-sized enterprises — no extensive site modifications required, reducing customers' upfront investment costs.
The system features AI self-learning, autonomous model updates, and remote debugging — three key intelligent functions — eliminating the need for manual model optimization and simplifying post-deployment O&M. Remote debugging enables off-site technical support, reducing on-site O&M staffing needs. It also replaces traditional manual sorting, lowering both labor costs and operational risks, allowing sorting workers to transition from high-risk, tedious sorting tasks to high-skill O&M roles.
Through precise sorting, waste textiles are separated into high-purity pure components and fixed-ratio blended raw materials that can directly feed into premium recycled markets (such as recycled apparel and automotive interiors). Compared with traditional low-value utilization models, unit raw material value increases 3-5x. At the same time, waste reduction and improved resource utilization further expand customer profitability, supporting customers in achieving high-value transformation.
The entire processing flow generates no harmful gas or wastewater emissions, complies with national environmental standards and "dual carbon" target requirements, helping customers implement environmental policies and avoid environmental compliance risks. It also supports customers in obtaining green certifications, enhancing their corporate green image, aligning with the global green supply chain restructuring trend, and strengthening their market competitiveness.