EN
AI X-ray Foreign Matters and Defect Detection Quality Sorter
The AI X-ray sorter, powered by AI Quality Sorting massive data model, enables multi-dimensional detection of color, shape, size, density and material. It identifies internal nut defects (infestation, hollow, shriveled, oily, mildew) and removes high-density foreign impurities (metal, stone, glass, ceramics, rubber), with penetrative inspection for bagged/shelled products to safeguard food safety as the final production checkpoint.
Description
AI X-ray foreign matters and defect detection quality sorting machine, is powered by the AI Quality Sorting massive data model, it enables multi-dimensional detection based on color, shape, size, density and material properties.It effectively sorts out internal defects in nut materials such as internal infestation, hollow kernels, shrivelled fruits, oily kernels and mildew.And it can accurately detect and remove high-density foreign impurities mixed in raw materials including metal, stone, glass, ceramics and rubber. It features penetrative identification for bagged and shelled products, inspecting the integrity of food products for missing parts or foreign matter. As the final checkpoint on the production line, it safeguards food safety and reduces the non-conformity rate.
Advantage
1.Capable of foreign matters detection in 25KG large packages, effectively identifying high-density impurities such as metal, glass, stone, and rubber within products. It also supports comprehensive detection for missing materials, weight measurement, and irregularities.
2.Utilizing an internationally advanced beryllium window radiation source, achieving a recognition accuracy of up to 0.05mm for clearer imaging, enabling effortless detection of foreign matters invisible to the naked eye.
3.PLOV physical structure platform technology simultaneously meets multiple detection needs, including external impurities and internal defects.
4.High throughput, low loss.
Product Parameters
| Model | Detection Sensitivity for SUS304 Ball/mm | Detection Sensitivity for SUS304 Wire/mm | X-ray Leakage Dose | Host Machine Power（kw）（Impurities Ratio 10%） | Power Supply |
Dimensions (with Filter) L*W*H(mm) |
Weight（kg） | Air Consumption m³/min |
| RX64 PRO | ≥φ0.3 | ≥φ0.2X2 | ≤1μSv/h | 2.45 | 380V/50Hz | 3800*1200*2040 | Based on actual production weighing | <0.6 |
| RX96 PRO | ≥φ0.3 | ≥φ0.2X2 | ≤1μSv/h | 3.0 | 380V/50Hz | 3860*1410*2360 | 950 | <0.8 |
| RX96D | ≥φ0.3 | ≥φ0.2X2 | ≤1μSv/h | 2.3 | 380V/50Hz | 2755*1355*1850 | 700 | <0.2 |
Core Technologies
Multimodal AI Quality Sorting Large Model
ANYSORT multimodal AI quality sorting large model leverages powerful computing to achieve faster sorting model setup, more accurate discrimination, quicker model training and deployment, and advanced automated data analysis.
PLOV Platform 3.0
The intelligent uniform distribution sorting structure has been innovatively upgraded to PLOV 3.0, ensuring materials are always spread evenly without overlapping during high-speed, high-yield sorting processes.
Hawkeye Camera Technology 4.0
AI + Hawkeye camera technology enables clearer high-speed dynamic imaging with more precise and intelligent identification.
MPF Multi-Pixel Fusion Technology
It essentially distinguishes different substances based on the spectral fingerprint characteristics of each material.