Note:Subject to different impurities of raw materials,parameters listed in above table will change to some extent.
2nd G area-scannline cameras with 5 Million pixel, and Gbps network interface; huge storage frame butter inside, matching zip transport technology, ensures reliable and real time transmission.
Qualcomm Processor (USA) – Provides faster processing speed and more stable performance for seamless operation.
High-Focus, Low-Temperature Cold Light Source – Specially designed to highlight even the smallest color differences, defects, and shadows for accurate imaging.
Large Model Training & Massive Cloud Computing – Capable of handling vast amounts of data, ensuring faster processing and more precise sorting.
User-Friendly Interface – Easy-to-use interface for efficient operation and optimal user experience.
Latest UHD imaging and analysis technology,high-speed processing,accurate identification.
Combined with color sorting,shape sorting and size sorting,to sort difficult impurities like micro color difference,tiny bad spot etc.
High-end specification ensures high stability with high sorting accuracy, small carry over and low energy consumption.
High-stability ejectors,much smaller air consumption,and much better carry over.
Al deep learning machine can sort based on visual differences such as shape, texture, and wormholes.By building large models and improving the database, the sorting materials are continuously increased, and the degree of intelligence is enhanced.
Note:Subject to different impurities of raw materials,parameters listed in above table will change to some extent.
2nd G area-scannline cameras with 5 Million pixel, and Gbps network interface; huge storage frame butter inside, matching zip transport technology, ensures reliable and real time transmission.
Qualcomm Processor (USA) – Provides faster processing speed and more stable performance for seamless operation.
High-Focus, Low-Temperature Cold Light Source – Specially designed to highlight even the smallest color differences, defects, and shadows for accurate imaging.
Large Model Training & Massive Cloud Computing – Capable of handling vast amounts of data, ensuring faster processing and more precise sorting.
User-Friendly Interface – Easy-to-use interface for efficient operation and optimal user experience.
Latest UHD imaging and analysis technology,high-speed processing,accurate identification.
Combined with color sorting,shape sorting and size sorting,to sort difficult impurities like micro color difference,tiny bad spot etc.
High-end specification ensures high stability with high sorting accuracy, small carry over and low energy consumption.
High-stability ejectors,much smaller air consumption,and much better carry over.
Al deep learning machine can sort based on visual differences such as shape, texture, and wormholes.By building large models and improving the database, the sorting materials are continuously increased, and the degree of intelligence is enhanced.
