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VGV AI Optical Sorter An AI-driven, high-precision solution for defect removal and quality grading of dehydrated vegetables | Industry-leading accuracy
Core Technical Features
A highly efficient sorting solution tailored for the dehydrated vegetable industry
Sealed scanning and control cabinet design provides high-level dust protection for harsh production environments
Integrated dust management system, field-proven to ensure long-term stable operation and consistent performance, significantly reducing downtime
Modular vertical chassis supports flexible 1 to 12 channel configurations (options: 1/4/6/8/10/12 channels) to meet various capacity and processing needs
AI Multi-Spectral Inspection System
Incorporates quad-spectrum detection technology, driven by proprietary AI deep learning algorithms
Self-learning algorithms continuously optimize recognition accuracy based on new sample data
Equipped with high-resolution RGB camera system and high-brightness LED lighting to capture subtle surface details
Optional InGaAs Short-Wave Infrared (SWIR) and UV fluorescence camera systems to expand detection capabilities
Precision Defect Detection
Comprehensively identifies defects across all types of dehydrated vegetables using multi-dimensional features including color, size, shape, and texture:
Color abnormalities: Browning, discoloration, scorching, mildew, residual peel, etc.
Shape defects: Broken pieces, fragments, clumps, deformation, off-size products, etc.
Drying issues: Uneven dehydration, sugar crystallization, rehydration stains, etc.
Foreign material: Plastic, rubber, and other non-plant impurities
Biological contamination: Microbial colonies, etc.
High-Performance Ejection System
Designed for high-speed sorting scenarios, balancing durability, efficiency, and energy consumption control
Delivers precise and stable ejection, effectively reducing false reject rates
Significantly optimizes total cost of ownership and enhances overall equipment value