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{"title":"RGB AI Beans Color Sorter Precise Detection Bean Sorting Machine","imgUrl":"https:\/\/img.chinax.com\/nimg\/b8\/56\/22b424f6801921efdf51b7d307e2-200x200-1\/rgb_ai_beans_color_sorter_precise_detection_bean_sorting_machine.jpg","attrs":{"Brand Name":"PHOENIX","Model Number":"Z RGB Sorter","Place of Origin":"Hefei","Minimum Order Quantity":"1"}}
{"title":"Long Focal Length Color Sorter Stainless Steel Bean Color Sorter","imgUrl":"https:\/\/img.chinax.com\/nimg\/4c\/59\/0c7172c408520b6d8d130993d83e-200x200-1\/long_focal_length_color_sorter_stainless_steel_bean_color_sorter.jpg","attrs":{"Material":"Stainless steel","Recognition Method":"Image recognition, using AI models","Display":"High resolution touch screen","Brand Name":"PHOENIX"}}
Empowering sorting with AI, it leverages exceptional detection capabilities to accurately identify both superficial and internal defects in seeds, while efficiently removing foreign materials based on color, size, shape, and texture.
Technical Features
Customized Agricultural Seed Sorting Solutions
A high-capacity vibrating feeder evenly spreads legumes and seeds into a monolayer, significantly reducing material overlap.
Sealed scanning and control boxes provide high-level dust protection.
An integrated dust control system ensures reliable operation, stable performance, and significantly reduces downtime.
The vertical frame features a modular design (with optional 1/4/6/8/10/12 channels), offering greater flexibility for processing workflows.
AI-Powered Quad-Spectral Detection System
Utilizes proprietary AI deep learning algorithms that continuously optimize defect recognition with new samples.
Equipped with a high-resolution RGB camera system and high-brightness LED lighting, supports optional Near-Infrared (NIR) or Short-Wave Infrared (SWIR) camera systems.
Delivers industry-leading, precise detection performance for a wide range of agricultural seed defects and foreign materials:
Discolored, moldy, broken, cracked, or malformed seeds
Pest and disease damage (e.g., Fusarium infection)