Waste paper, waste plastics, waste metals, waste glass, waste textiles





Industry Center
Four Core Sectors Mining & Infrastructure, Food Processing, Municipal Solid Waste, Resource RecyclingOre Sorting & Mobile Crushing
XRT, HSI, LIBS, and mobile stations work together for mine waste rejection, grade improvement, and waste rock utilization.Protein, Fruit & Vegetable Processing
3D vision, hyperspectral imaging, X-ray, and intelligent cutting improve sorting, portioning, and processing efficiency.City-wide Integrated Solution
Solutions for household waste, construction and demolition waste, organic waste, plastic recycling, and incineration bottom ash recovery.Wind Turbine, Lithium Battery, PV Panel & Metal Recycling
Full-lifecycle resource recovery for new energy recycling, e-waste, and recycled metals.Product Center
Six Product Lines The intelligent foundation for sensing, embodiment, and decision-makingMultimodal Perception & Precision Execution Agent
An integrated hardware-software platform combining atomic-level perception with micrometer-level execution.Intelligent Backbone for Material Flow
Integrated intelligent pipelines and dynamic conveying systems that make every material movement transparent and traceable.The Touch and Brain of Material Flow
A full-scenario digital gateway, business intelligence center, and swarm-intelligence scheduling platform.Embodied Execution Agent
An intelligent platform for crushing, flexible mobile sorting, and robotic execution.Foundation of Mechanical Sorting
Software-defined standardized mechanical sorting units for high-throughput physical separation.Neural System for Intelligent Industrial Control
A next-generation platform for industrial intelligent control and edge computing.
Municipal Solid Waste / MRF
Municipal Solid Waste (MSW) refers to mixed waste generated daily by households, commercial, and public facilities. An MSW MRF plant is an intelligent sorting center integrating AI vision recognition, hyperspectral near-infrared sensing, and robotic technology to achieve fully automatic sorting of mixed waste, producing high-purity recyclables (PET/HDPE/paper/metals), high-calorific-value alternative fuel (SRF/RDF), and organic matter. Through data-driven monitoring, sorting strategies are optimized to maximize resource recovery rates and reduce operational costs. This system serves as a "reverse logistics" system, combining mechanical, biological, and chemical methods to convert mixed waste into bio-fertilizer, recycled plastic pellets, and solid recovered fuel (SRF), achieving efficient resource reuse.
SOLUTION
Through intelligent sorting technology, we solve the three major problems of complex composition, low manual efficiency, and resource waste, achieving over 60% reduction in waste landfilling. Using AI vision systems for 24/7 automated sorting, we produce high-purity recycled resources such as plastics and metals, reducing labor costs by 40%. Equipped with an intelligent monitoring platform for real-time tracking of recovery data, we help increase urban waste recovery rates to 45%, reducing greenhouse gas emissions by over 100,000 tons annually, providing governments and enterprises with a dual-benefit solution for environmental compliance and circular economy.

INPUT & OUTPUT
Waste paper, waste plastics, waste metals, waste glass, waste textiles





Recycled plastics, paper, metals



CORE TECHNOLOGY
Using aerodynamic principles to separate lightweight materials (plastics, paper, textiles) from heavy materials (stones, kitchen waste, glass).

The AI vision module captures material images through high-resolution cameras, using deep learning algorithms to identify specific targets in real time and guide high-speed robots for precise grasping and placement.

ADVANTAGES
Equipment has low spatial requirements, using modular layout to maximize site space utilization and adapt to various site conditions.
Using a combination of "mechanical sorting + biological treatment" and other processes as a combined approach to precisely target different components of mixed waste, achieving full quantitative processing.
Introducing AI vision sorting robots, remote operation and maintenance, and digital twin technology to achieve unmanned or minimally manned operations, precisely monitoring parameters, and improving operational efficiency.
PROJECT CASES
The Singapore waste treatment project occupies 1 hectare, processing 600 tons of mixed waste per day, with an investment of 400-500 million RMB. The process flow is: pre-sorting to recover plastics/metals → biological drying (moisture content <30%) → post-sorting to remove inert materials and grade fuel. Supporting deodorization, dust collection, and wastewater treatment systems ensure environmental compliance.



This project's pre-sorting system has a single-line processing capacity of 50 tons per hour. The process aims to screen out undersized materials (primarily organic matter) from the municipal solid waste components for composting, separate metals (for external sale), combustibles (for incineration), and plastic bags, achieving a certain degree of resource utilization while improving the calorific value of furnace feed materials.



The project occupies 1.5 hectares with a total investment of 400 million RMB, processing 300 tons of mixed waste per day. Using a "crushing + multi-stage sorting + drying + fine crushing" process, it separates metals, inorganic materials, and PVC through mechanical sorting and optoelectronic technology, dries and sorts combustibles, ultimately producing SRF fuel. Outputs include ferromagnetic metals, non-ferrous metals, inert materials, PVC, fine sand, low-value combustibles, and finished SRF, transported to power plants for incineration or sold externally.


