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New Breakthroughs in Color Sorter Technology, Empowering Precision Sorting Upgrades Across Industries
2025-07-28Recently, the color sorter industry has witnessed significant technological breakthroughs. Hefei Ruize successfully developed a new generation of deep learning color sorters, achieving efficient sorting through intelligent algorithms and bringing new quality control and production efficiency improvement solutions to multiple fields such as food, grain and oil, and industry.
This color sorter adopts bionic neural network architectures such as ResNet152 and Vision Transformer, completely innovating the recognition logic. By automatically constructing a multi-level feature space through Convolutional Neural Network (CNN), it can extract 78-dimensional feature parameters, greatly increasing the recognition accuracy of unstructured defects such as moldy grains and sprouted grains to 99.97%, far exceeding the 89% of traditional algorithms. Meanwhile, integrating hyperspectral imaging (HSI) and polarized light sensing technology, it can analyze the geometric distortion of material surfaces, subcutaneous component abnormalities, and dynamic motion trajectory characteristics, solving the problem of sorting 粘连颗粒. Its online incremental learning system can independently update more than 1200 feature samples daily, adapting to color difference variations of raw materials from different producing areas.
Compared with traditional color sorters, the new generation of AI color sorters has a recognition accuracy of 99.99%, an increase of 50%; the application scope covers 3218 sub - industries; the material library has accumulated 72543 material features; the Mean Time Between Failures (MTBF) has exceeded 10000 hours, enabling 7×24 - hour continuous operation. (Pictures can be added here: Equipment diagram of the new generation deep learning color sorter, showing its appearance and working status)
Food enterprises have taken the lead in benefiting. For example, after a large rice company introduced this equipment, it freed up 60% of the factory space and formed a unique quality database of the enterprise through data precipitation. According to McKinsey's "AI Frontier Report" prediction, deep learning technology accounts for 42% of industrial applications, and intelligent sorting is a key growth point. In the future, Hefei Ruize also plans to expand industry applications, upgrade technologies, put quantum dot sensing technology into commercial use, and continue to promote the development of the intelligent color sorter industry.
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