Meyer 80-XS X-Ray_AI Bulk Sorter
The MEYER XS_AI X-ray detector has been designed for precise inspection of bulk products using deep learning AI and ultra high-speed UHD imaging to identify hidden defects and unwanted contaminants. It effectively detects foreign objects such as glass, metal, stones, and ceramics that may pose a risk to food safety. The system is also capable of identifying internal defects invisible to the naked eye, including unripe, damaged, or hollow nuts, fruits, and seeds, with AI-powered classification ensuring precise sorting even at the highest production speeds.
The MEYER XS_AI X-ray detector has been designed for precise inspection of bulk products to identify hidden defects and unwanted contaminants. Powered by deep learning AI and ultra high-speed UHD imaging, it effectively detects foreign objects such as glass, metal, stones, and ceramics that may pose a risk to food safety. The system is also capable of identifying internal defects invisible to the naked eye, including unripe, damaged, or hollow nuts, fruits, and seeds. The AI classification engine compares materials against an extensive library of trained models, while the Sniper System ensures pinpoint ejection accuracy — eliminating hazards without unnecessary product loss, even at full production speed.
Key Benefits:
| Specification | XS Series_AI |
|---|---|
| Sorter model | 80XS4 |
| Sorter code | MY8060-80XS |
| Sorter power (kW) | 2.5 |
| Sorter voltage (V) | 180~240 50Hz |
| Sorter air pressure (MPa) | 0.6~0.8 |
| Sorter air consumption (m³/min) | 0.3 |
| Sorter dimensions (L x W x H) | 2530*1250*2400 |
| Sorter weight (kg) | 680 |
| Detection | Glass · Metal · Stone · Ceramics · Internal Defects |
| Internal Defects | Hollow nuts · Worm-eaten · Unripe / Damaged seeds |
| Brand | Meyer |
| Indian Dealer | NICPL |
- 🧠 Deep Learning AI Core — Devices are equipped with deep learning AI systems trained to analyze and interpret complex product data in real time.
- 🎨 Multi-Feature Data Analysis — Integrates multiple data features such as color and shape to build a complete profile of each product passing through.
- 📚 Extensive Model Library — Compares incoming materials against an extensive library of trained models to classify defects and contaminants accurately
- 🔍 Pixel-Level Defect Classification — Capable of precise classification of the smallest defects, down to the level of just 1-2 pixels
- 🔄 Continuous Technology Research — MEYER thoroughly researches and advances AI technology to consistently deliver the best possible sorting solutions
- ⚙️ Adaptive Material Recognition — Learns and adapts to varying material characteristics, improving classification accuracy across diverse product batches
- 🏭 Foundation for Smart Sorting — Forms the intelligent backbone of the sorter, working alongside imaging and ejector systems for precise, automated quality control
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