1200mm Belt Nuts Processing Machine 220V Cashew Sorting Machine

• Customized sorting solution for premium nut processors
• Compact single-belt sorting system designed for quick installation and easy production line integration
• High-capacity vibratory feeder spreads nuts into a uniform single layer, significantly reducing overlap
• Sealed scanning and control enclosure provides high-grade dust protection for long-term reliable operation
• Full food-grade stainless steel construction with quick-change belt design facilitates daily cleaning and maintenance, meeting stringent food safety and hygiene standards
• Integrated, field-proven dust control system ensures operational stability and consistent performance, greatly reducing downtime risk
• Modular belt width options (400/800/1200 mm) offer flexibility to match different production capacities

• Dual-band Indium Gallium Arsenide (InGaAs) Short-Wave Infrared (SWIR) camera system
• Proprietary AI deep learning algorithms that continuously optimize defect recognition with new sample data
• High-resolution RGB camera system
• Highly stable air-cooled halogen lighting system
• High-brightness LED lighting system

Delivers Ultra-High Precision Inspection for Premium Nut Processing
Capable of accurately identifying defects across multiple dimensions including color, shape, texture, chemical composition, and moisture content. Compared to traditional RGB visible-light sorting, the core advantages are as follows:

• Transcends Surface-Level Inspection: Accurately identifies internal defects such as hidden mold, insect damage, and rancidity that are missed by RGB cameras
• More Precise Foreign Material Removal: Effectively removes shell fragments and kernel residues. Reliably identifies foreign materials like plastic, stones, glass, and metal—even when their color matches the nuts
• Superior Early-Stage Defect Detection: Detects early-stage mold and aflatoxin contamination undetectable by RGB-based systems
• Higher Throughput and Efficiency: Supports greater processing capacity while significantly reducing manual intervention
• Self-Learning Algorithm Evolution: Detection accuracy continuously improves as the self-learning algorithm accumulates more data