AI-powered Sorting Machine

The AI-powered sorting machine is a new-generation intelligent sorting system that integrates deep learning algorithms, hyperspectral imaging technology, and high-precision actuators.

Product Introduction

The AI-powered sorting machine is a new-generation intelligent sorting system that integrates deep learning algorithms, hyperspectral imaging technology, and high-precision actuators. Unlike traditional color sorters that rely on fixed parameter comparisons, this device possesses “cognitive” capabilities, enabling it to learn and identify the color, shape, texture, and even the intrinsic properties of materials just like humans. It achieves precise sorting and impurity removal of complex mixed materials and is widely used in fields such as resource recycling, mineral processing, food processing, and the selection of traditional Chinese medicinal materials.

Working Principle

The bouncing screen sorting machine drives the screenplate to move up and down front and back throughan eccentric shaft, which makes the 3D material part(such as plastic bottles, wood, bricks and stones, etc.)and the light and flat 2D material part (such as film,paper and cardboard) on the screen plate as well asthe fine material part (sand and food residues) underthe screen convenient for the subsequent processing.

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Key Selling Points and Advantages

AI Algorithms That Go Beyond “Recognition” to “Cognition”
By utilizing deep learning frameworks such as Convolutional Neural Networks (CNNs), the system can not only identify surface colors but also extract deep-level material characteristics. It possesses the ability to make autonomous judgments when encountering previously unseen foreign objects or materials with altered shapes, thereby addressing the pain points associated with traditional equipment—namely, its inflexibility and the need for frequent recalibration.
Multimodal Fusion Recognition Technology
Breaking through the limitations of single-modality optics, this technology integrates visible light, near-infrared (NIR), and hyperspectral technologies to simultaneously identify a material’s “color and composition.” For example, it can precisely distinguish between plastics with similar colors but different compositions (such as transparent PET and transparent PP) or detect foreign objects inside packaging.
Multi-Functionality and Flexible Production
Supports “one-click switching” of sorting models. By invoking different AI models, a single device can process diverse materials such as ore, plastic, or grain, significantly reducing equipment investment and factory floor space while meeting the demands of flexible production involving small batches and multiple product varieties.
Ultimate Precision and Detection of Minor Defects
Equipped with high-resolution industrial cameras (such as a four-view system for 360° blind-spot-free detection) and a high-performance processing system, defect recognition accuracy reaches 0.01 mm, with a sorting accuracy rate as high as 99.99%. This effectively reduces the carry-out rate (false rejection rate) and ensures high-purity output.
Intelligent Operation and Cloud Management
Supports IoT (Internet of Things) remote access, enabling remote fault diagnosis, algorithm upgrades, and real-time monitoring of production data. Some models feature self-learning capabilities, continuously optimizing models during actual operation to become more accurate over time.

Industry Sectors

Resource Recovery

Plastic Sorting
Sorting of materials such as PET, PP, PE, and ABS; whole-bottle sorting; removal of labels and soft rubber;
Municipal Solid Waste
Recovery of paper, plastic, and metal from mixed municipal solid waste;
Electronic Waste
Separation of metal and plastic from shredded materials.

Mining and Coal​

Ore Pre-concentration
Removal of waste rock and improvement of feed grade (e.g., phosphate ore, quartz sand, manganese ore);
Coal Sorting
Intelligent dry sorting of coal gangue, replacing manual gangue removal

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