HDF Intelligent RGB Optical Sorter AI-powered Cost-effective Optical Sorting System For Efficient E-waste Recycling

AI-powered Cost-effective Optical Sorting System for Efficient E-waste Recycling

The HDF Intelligent RGB Optical Sorter is a cost-efficient yet high-performance optical sorting solution. Equipped with high-resolution RGB cameras and self-developed AI deep learning algorithms, it accurately identifies and separates plastics and metals from e-waste, while efficiently removing hazardous substances. It greatly boosts resource recovery rate and regulatory compliance, helping enterprises achieve win-win results in economic benefits and environmental protection.

It conducts precise identification of various plastics, metals and hazardous components in e-waste based on multi-dimensional features including color, size, shape, thickness and surface texture, laying a solid foundation for accurate sorting.

Designed to simulate manual sorting logic, it continuously learns material characteristics to improve recognition accuracy. The system adapts flexibly to complex and variable material compositions and becomes smarter with ongoing operation.

It enhances the presentation of surface details of e-waste, improves feature recognition and remarkably reduces false rejection rate for stable and reliable sorting performance.

Fitted with self-developed high-speed powerful ejectors, it delivers accurate and stable material rejection even under high-capacity continuous operation, ensuring smooth production line running.

Sorts materials such as ABS, PC and PP by color and defects including scorching and oxidation. It precisely distinguishes matte black ABS from glossy black PC via surface luster and subtle color difference, meeting the requirements for high-purity recycled materials.

Efficiently separates reddish-brown copper tubes and silvery-white aluminum heat sinks from discarded refrigerators and air conditioners. It also separates glossy copper windings from matte silicon steel sheets in mixed materials of washing machine motors, greatly increasing metal purity and recycling value.

Recovers gold from PCBs. The high-pixel RGB cameras accurately capture metal reflective properties, and the AI algorithms effectively eliminate copper interference. Both gold recovery rate and copper purity stay above 90%.

Recognizes purplish-red copper and silvery-white aluminum to efficiently recover high-value electrode materials, facilitating closed-loop recycling of battery resources.

Accurately removes plastics containing brominated flame retardants, lead, cadmium and other harmful ingredients. Recycled products can fully comply with environmental regulations and reduce compliance risks.

Sorted plastics see a price increase of 20%–50%, and metal recovery rate is doubled, substantially improving corporate profitability.

It drastically cuts landfill volume, promotes closed-loop recycling and resource circulation of e-waste, fulfills environmental responsibilities and supports green and low-carbon development.