Grains AI sorting machine Cereals AI sorting machine Sorter separator
|
Model
|
Mineral particle size (cm)
|
Capacity
(T/H)
|
Air pressure (Mpa)
|
Sorting accuracy
|
Optimized Carryover ratio
|
Power(kW)
|
Dimension(mm)
|
Weight(kg)
|
|
MAI-D4
|
3<d≤6
|
30~45
|
0.55
|
96
|
10:1
|
4.5
|
4000*2650*1760
|
2100
|
|
1<d≤3
|
10~12
|
0.55
|
|
0.5≤d≤1
|
6~8
|
0.5
|
|
MAI-D5
|
3<d≤6
|
38~52
|
0.55
|
96
|
10:1
|
5.0
|
4000*3160*1760
|
2250
|
|
1<d≤3
|
12.5~15
|
0.55
|
|
0.5≤d≤1
|
8~10
|
0.5
|
|
MAI-D6
|
3<d≤6
|
45~68
|
0.55
|
96
|
10:1
|
5.5
|
4000*3670*1760
|
2350
|
|
1<d≤3
|
15~18
|
0.55
|
|
0.5≤d≤1
|
9~12
|
0.5
|
|
MAI-S4
|
3<d≤6
|
35~50
|
0.55
|
99.8
|
20:1
|
6.0
|
4850*2650*2750
|
3000
|
|
1<d≤3
|
12~14
|
0.55
|
|
0.5≤d≤1
|
7~9
|
0.5
|
|
MAI-S5
|
3<d≤6
|
44~60
|
0.55
|
99.8
|
20:1
|
6.5
|
4850*3160*2750
|
3250
|
|
1<d≤3
|
13.5~16
|
0.55
|
|
0.5≤d≤1
|
9~11
|
0.5
|
|
MAI-S6
|
3<d≤6
|
48~75
|
0.55
|
99.8
|
20:1
|
7.0
|
4850*3670*2750
|
3500
|
|
1<d≤3
|
17.5~21
|
0.55
|
|
0.5≤d≤1
|
10.5~14
|
0.5
|
The above index is based on 15% impurity content quartz as an example,The specific index varies with the material and impurity content.
Technical Advantages
1,Artifical intelligence methods use deep convolutional neural networks(CNN) to analyze and process material images.
2,AI photoelectric sorting technology can automatically extract the multi-dimensional characteristics of materials,like texture,shape,color,quality,luster,etc., which greatly improves the sorting effect,expands the sorting scene and material types,to meets the market diversification and personalized sorting requirements,and solves the problem of limited color sorting materials in current color sorter market.
3,Photoelectric sorting requires high real-time performance,while CNN operation is relatively slow.In this regard, we adopt the model compression technology to accelerate CNN operation speed and greatly improve the recognition efficiency.
4,In view of the situation that many mineral materials cannot obtain massive data,our company adopts transfer lerning technology and industrial image sample enhancement technology to ensure the recognition accuracy of non-massive data training.
5, AI sorting machine uses a gigabit camera to transmit image data to multi-GPU computing platform,which adopts CNN to analyze material types and accurately identify material surface features and texture structures.
Applicable sorting ore materials
Talc, wollastonite ,calcite, quartzite
Fluorite, Potassium feldspar, Magnesite, Lithium pyroxene
Phosphate ore, Gold ore, High crystal silicon, oxide copper ore
Barite, bauxite ,lead-zinc ore and fluorite, barite lead-zinc ore
Not limited to the above ores, eye visible distinctions are applicable to AI sorting machines!
A wide range of sorting materials, can be applied to nuts, grains and cereals, Chinese herbs, dehydrated food and other materials sorting.
FAQ
1.Do you accept OEM or ODM?
Answer: Yes. we accept OEM
2. Do you provide sample?
Answer: No, Our products are made according to PO ,
and can be deducted in the mass order later.
3. what's your MOQ?
Answer: different products different MOQ,
4. what's your delivery time?
Answer: 45days after order confirmation and advance payment
5. How about the packing?
Answer: Packing will do as customer 's requirement .We usually use Treated Fumigation-free wood case.Factory normal packing will be adopted without requirements from customer.
6.what certification do you have ?
Answer: for European customer , we have CE,ISO certification.
7,where is your factory
Answer:our factory is located in Hefei city ,280 miles west away from Shanghai port,China.
8,Can I mix different models in one container?
Answer:Yes, different models can be mixed in one container,
9,which is the nearest sea port ?
--- Shanghai port
