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AI-driven RGB/MSI Smart Camera Combination Accurately Identifies Kidney Bean Defects Based On Color, Size, Shape, And Texture; Self-developed Deep Learning Algorithm Enables Continuous Optimization.

AI-driven RGB/MSI Smart Camera Combination Accurately Identifies Kidney Bean Defects Based On Color, Size, Shape, And Texture; Self-developed Deep Learning Algorithm Enables Continuous Optimization.

Nombre De La Marca: PHOENIX
Número De Modelo: Clasificador óptico VG AI
Cantidad Mínima De Pedido: 1
Precio: Price Negotiable
Condiciones De Pago: LC, D/A, D/P, T/T, Western Union, MoneyGram
Información detallada
Lugar de origen:
Hefei
Modelo:
VG4
Tolva:
6
Boquilla de aire:
256
Potencia (kW):
2.9
Voltaje:
220V~ 50/60Hz
Dimensión (LWH)(mm):
2800*2199*2076
Peso*(kg):
1150
Presión (MPa):
0,6 ~ 0,8
Consumo de aire (L/min):
< 2000 años
Resaltar:

AI-driven RGB kidney bean sorter

,

MSI smart camera bean defect detector

,

deep learning bean color sorter

Descripción del Producto
                                                                   VG Intelligent Optical Sorter

Powered by an AI-driven RGB/MSI smart camera combination, the system performs multi-dimensional defect detection on kidney beans based on color, size, shape, and texture. The self-developed deep learning algorithm supports continuous learning, enabling ongoing improvement in defect recognition as new samples are introduced.


Specifications
Model Chute Air Nozzle Air Pressure (MPa) Air Consumption (L/min) Power (kW) Voltage Dimension (LWH)(mm) Weight*(kg)
VG1 1 64 0.6~0.8 <1000 0.9 220V~ 50/60Hz 1255*2199*2076 680
VG4 4 256 0.6~0.8 <2000 2.9 220V~ 50/60Hz 2170*2199*2076 1150
VG6 6 384 0.6~0.8 <3000 4.4 220V~ 50/60Hz 2800*2199*2076 1480
VG8 8 512 0.6~0.8 <4000 5.9 220V~ 50/60Hz 3430*2199*2076 1840
VG10 10 640 0.6~0.8 <5000 7.3 220V~ 50/60Hz 4070*2199*2076 2180
VG12 12 768 0.6~0.8 <6000 8.8 220V~ 50/60Hz 4835*2199*2076 2550


 AI-driven RGB/MSI Smart Camera Combination Accurately Identifies Kidney Bean Defects Based On Color, Size, Shape, And Texture; Self-developed Deep Learning Algorithm Enables Continuous Optimization. 0


Technical Features

Tailored Sorting Solution for Kidney Beans
✦ High-efficiency vibratory feeder ensures a single-layer, even distribution of kidney beans, effectively reducing overlap
✦ Sealed sorting chamber and electrical enclosure with industrial-grade dustproof design, ideal for high-dust environments
✦ Proven, reliable integrated dust control system for consistent and stable operation
✦ Modular design with customizable chute configurations (1, 4, 6, 8, 10, 12) to accommodate various capacity requirements

AI-Powered 4-in-1 Intelligent Optical Sorting System
✦ Self-developed AI deep learning algorithm with continuous learning capabilities for ongoing improvement in defect recognition
✦ High-resolution RGB imaging system for precise detection of subtle defects
✦ High-intensity LED lighting system ensuring clear and stable image quality
✦ Optional NIR or InGaAs-SWIR cameras for expanded detection capabilities

Market-Leading Defect Detection for Kidney Beans (Based on Color, Size, Shape, and Texture)

  • Discolored beans: moldy, oxidized, immature, or contaminated kidney beans

  • Split / cracked beans

  • Insect-damaged beans

  • Diseased beans: affected by fungal or bacterial spots

  • Foreign materials: stalks, stones, glass, plastic, metal
    ✦ Supports customizable parameter settings for various types of kidney beans

High-Performance Pneumatic Ejector System
✦ Optimized design combining durability, high-speed response, and air efficiency
✦ Maintains precise ejection and stable performance even under high throughput
✦ Significantly reduces false ejection rates, lowering overall operating costs

15-Inch Industrial Touchscreen Control System
✦ Intuitive human-machine interface with multilingual support
✦ One-touch product parameter switching for easy operation
✦ Comprehensive remote support system
 ☆ Remote access and real-time monitoring
 ☆ Performance data dashboard
 ☆ Online expert diagnostics
 ☆ Interactive troubleshooting guidance