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OurSort AI Intelligent Sorting System Achieves Revolutionary Application in Electronic Waste Processing

Jan 12, 2026 Leave a message

n the key process of addressing the global challenge of electronic waste and accelerating the transition to a circular economy, OurSort AI intelligent sorting system is used to accurately select different categories of high-value plastics from highly complex electronic waste crushing mixtures.


The plastic mixture produced by the crushing of electronic waste is widely recognized as one of the most difficult materials to handle in the recycling industry. Its composition is extremely complex, including various plastics such as ABS, PS, PP, PC, etc., and its color, shape, and size are disorderly. The surface often adheres to dust, labels, and metal residues. Traditional technologies such as water flotation and near-infrared sorting have significant limitations in terms of purity, efficiency, and handling of black plastics, resulting in a large amount of recyclable resources being downgraded or landfilled, which seriously restricts the construction of a closed loop in the global electronics industry.


OurSort Solution: AI Multimodal Recognition System


Faced with this challenge, OurSort AI intelligent system has demonstrated a unique technological path. The system does not rely on a single sensing technology, but instead builds a multimodal perception and decision-making center:


Hyperspectral imaging combined with hyperspectral imaging: It can perform instantaneous elemental analysis on pre processed materials, accurately determine the molecular structure of plastics from the root, and completely solve the industry pain point of "black plastics cannot be identified".


3D geometry and texture deep learning: Through 3D visual scanning, accurately analyze the thickness, volume, and surface texture of each piece of plastic, effectively distinguish plastics with similar appearance colors but different materials (such as ABS and HIPS), and exclude non target impurities such as metal and rubber.


Self evolving AI algorithm engine: The system's built-in algorithm can continuously learn changes in material flow, automatically adjust sorting parameters, adapt to fluctuations in electronic waste from different batches and sources, and ensure long-term stable sorting performance.


Commercial operation results: defining new standards for resource regeneration


Sorting purity: The purity of producing a single category of plastic (such as ABS) remains stable at 99.2% or above, meeting the standard for direct use in the production of high-end recycled products.


Recycling rate: The recycling and extraction rate of the target plastic exceeds 95%, greatly improving resource utilization.


Value creation: The sorted high-purity plastic particles have a market value that increases by 300% -500% compared to mixed plastics, creating direct and significant economic benefits for customers.


Environmental benefits: Helps the factory reduce tens of thousands of tons of electronic plastic mixtures from incineration or landfill every year, significantly reducing its carbon footprint.


Industry impact and future prospects


This successful application not only marks OurSort's establishment of a global technological leadership position in the emerging strategic field of resource recycling, but also provides a key technological infrastructure for the global circular economy industry chain. It proves that even the most complex waste can be transformed into high-value "fine materials" through cutting-edge artificial intelligence and sensing technology.


About OurSort


OurSort is a technology company dedicated to providing intelligent sorting solutions for the global food selection, food safety, and resource recycling industries, with artificial intelligence and advanced perception technology at its core. We help customers enhance product value, ensure production safety, tap into resource potential, and jointly build a more efficient, cleaner, and sustainable future through continuous technological innovation.

 

 

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