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YaoGuang Series Fresh Tea Sorting Machine
The Yao Guang series fresh leaf machines are powered by AI, built with deep learning models, equipped with SOC system architecture, and driven by big data. They recognize the color, shape, and texture features of materials through convolutional neural networks (CNN), analyze relevant data of materials, monitor foreign objects in real time, and achieve high-precision sorting. Equipped with a 350 million pixel ring curve self-healing lens, LED optical sensing system, and intelligent high-frequency electromagnetic valve, it achieves high-quality control of fresh tea leaves.
Scope of application
Fresh tea
Product advantages
Efficient performance

AI technology can quickly process large amounts of data and accelerate the sorting process.

Accuracy

AI technology has high accuracy in the field of sorting. By learning from training data, AI can effectively recognize different objects and features during the sorting process.

Adaptive ability

AI has strong adaptive capabilities and can automatically adjust sorting strategies based on changes in input data. As data accumulates, AI systems can continuously learn and optimize to achieve efficient sorting in different scenarios.

Automation and Integration

AI technology can be seamlessly integrated into existing production lines and automation equipment.

Scalability

AI technology has good scalability and can easily adapt to sorting scenarios of different scales.

Specifications and Parameters

Number of layers


Model




Power (electric

appliance and motor)(kW)


Power input
(V)
Air pressure
(MPa)

Processing capacity

(kg/h)

External dimensions(L*W*H)
(mm)
Weight

(kg)


Sorting
accuracy

(%)

Structural design


Single layer 6CSX-XJ10 4.8 AC220V±5%
AC380V±5%
0.5-0.8 ≤1300 4072*3045*1950 1750 ≥99.9 Segmented
Bilayer 6CSX-XJ20 11 AC220V±5%
AC380V±5%
0.5-0.8 ≤1300 3828*3166*3703 3147 ≥99.9 Segmented
Three layers 6CSX-XJ30 15.8 AC220V±5%
AC380V±5%
0.5-0.8 ≤1300 7279*3255*3703 4897 ≥99.9 Segmented


Note:

1. The above color selection performance is based on Tie Guan Yin with impurities ≤ 2% as an example;

2. If there are any updates to the product, the actual machine shall prevail.

Number of layers


Model




Power (electric

appliance and motor)(kW)


Power input
(V)
Air pressure
(MPa)

Processing capacity

(kg/h)

External dimensions(L*W*H)
(mm)
Weight

(kg)


Sorting
accuracy

(%)

Structural design


Single layer 6CSX-XJ10 4.8 AC220V±5%
AC380V±5%
0.5-0.8 ≤1300 4072*3045*1950 1750 ≥99.9 Segmented
Bilayer 6CSX-XJ20 11 AC220V±5%
AC380V±5%
0.5-0.8 ≤1300 3828*3166*3703 3147 ≥99.9 Segmented
Three layers 6CSX-XJ30 15.8 AC220V±5%
AC380V±5%
0.5-0.8 ≤1300 7279*3255*3703 4897 ≥99.9 Segmented


Note:

1. The above color selection performance is based on Tie Guan Yin with impurities ≤ 2% as an example;

2. If there are any updates to the product, the actual machine shall prevail.