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Intelligent 3 Channel Lemon Sorting Machine Stainless Steel For 8 - 12 T/H

Categories Fruit Sorting Machine
Brand Name: Jinguoyuan sorting robot
Model Number: 3channel intelligent lemon sorting machine
Certification: CE Certificate
Place of Origin: Hefei,Anhui,China
MOQ: 1 set
Price: Negotiable
Payment Terms: L/C, D/A, T/T
Supply Ability: 5000 sets per year
Delivery Time: Delivery time: 15-30 working days after receiving the deposit.
Packaging Details: Packing: Factory standard export plywood box packing, suitable for container shipment.
Number of Sortable Lanes: 3
capacity (T/H): 8~12
Material: Stainless Steel
Sorting Materials: Lemon
Way of working: Mechanical Sorting
Operation method: Computer Control
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Intelligent 3 Channel Lemon Sorting Machine Stainless Steel For 8 - 12 T/H

High Yield And Low Sorting Cost 3channel Intelligent Lemon Sorting Machine

Product introduction:

According to the difference in the optical properties of materials, the photoelectric detection technology is used to automatically sort out the damage and size of the fruit and vegetable materials, and it can also detect the sugar content in the sorting fruits and vegetables.

Sorting item: Lemon

Sorting standard

Lemon raw materialBig onesMedium onesSmall onesAcidity

Parameters

modelchannel

capacity

(T/H)

voltage

(V/Hz)


power

(KW)

size(length*Width*height)
ZG0338-12380/5016.2525690*2390*2280

The date is for example as the apple, actual effect would be according to your raw material

Modelfunction

voltage

(V/Hz)

power

(KW)

size(length*Width*height)
Water sterilizing systemSoft cleaning and sterilizing system380/503.055000*1280*1135
Wind drying systemsurface drying, no destroy to the fruit characters380/503.755000*1000*1750
Dry switch feedingDry feeding380/502.54600*1000*980
Export packing lineHuman packing380/507.536000*900*1400
Empty box transportationFruit box supply380/500.610030*530*300

1. One of the first companies in the industry to adopt the fifth-generation FPGA core processor.

2. Based on AI technology combined with deep learning algorithm,Instad of the traditional visual sorting scheme, we use AI technology which greatly improves the sorting effect. At the same time, the machine can do multiple sorting and multiple results one time.

3. With high-speed and high-resolution industrial digital cameras, the image is clear and stable.

4.The materials would be rolling when sorting, no space would be ignored,then the sorting accuracy increased highly.

5.380V power supply, unique air circuit quick-connect connection, low power consumption of the whole machine

6. Multi visual sorting system: using computer vision technology to collect information such as color, fruit shape, and defects of materials.

7. Internal quality inspection system: Infrared non-destructive inspection technology is used to collect internal quality, including sugar content, mildew and so on.

8. Electronic weighing system: electronic sensing technology to collect quality information of materials

9. Production auxiliary system: feeding system including water feeding, dry feeding and dry feeding system, which can better solve the problem of material bumping.

10. Packaging platform: It can effectively improve the packaging speed of materials and production efficiency.


After-sale service:

Free software upgrade service for our customers all life.

Free maintenance.

Packaging and Shipping:

Delivery time: 15-30 working days after receiving the deposit.

Quality: Quality as factory standard.

Packing: Factory standard export plywood box packing, suitable for container shipment.


FAQ

Q: Do your machines have production assistance systems?
A: Yes, our product feeding system includes water feeding, dry feeding, and air drying system, which can better solve the problem of fruit and vegetable bruising. The packaging platform can effectively improve the packaging speed and improve production efficiency.


Q: What are the characteristics of your industrial cameras?
Answer: 3 color cameras are used for each channel, which can realize multi-angle observation and effectively detect the concave area of fruit stalk and calyx.

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