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Automatic Waste Sorting Conveyor Ai Powered Computer Vision Machine with Visual Inspection System
| Price | $200000.00 |
|---|---|
| Min Order | 1 Piece |
| Availability | In Stock |
| Shipping From | Jiangsu, China |
| Popularity | 402 people viewed |
Model NO.:
JET10601
After-sales Service:
1year
Warranty:
1year
Condition:
New
Application:
Coal Mines, Municipal Solid Waste
Type:
X Ray
Waste:
Dry
Accuracy:
Machine Vision Particle-by-Particle Inspection
Separation Method:
High Pressure Gas Precision Separation
Intelligence:
Automatically Adjust Parameters
System:
High Speed Ai Visual Recognition System
Screw Compressor:
15kw,22kw
Trademark:
Enerpat
Transport Package:
Wood Box
Specification:
CE, ISO9000/9001
Origin:
Nantong, Jiangsu, China
HS Code:
8477800000
Product Description
High degree of automation helps improve production efficiency
Pure visual sorting technology is used to quickly identify and locate materials, and achieve "what you see is what you get" point-to-point precise sorting at the technical level, with a sorting accuracy rate of 95%.
Automated production control can save 8-10 laborers and the production capacity can reach 9 tons, reducing costs and increasing efficiency for enterprises.
Pure visual sorting technology is used to quickly identify and locate materials, and achieve "what you see is what you get" point-to-point precise sorting at the technical level, with a sorting accuracy rate of 95%.
Automated production control can save 8-10 laborers and the production capacity can reach 9 tons, reducing costs and increasing efficiency for enterprises.
Data Sheet
Equipment model | JET10601 | JET14601 | JET28601 |
Belt width | 1.0m | 1.4m | 2.8m |
Belt length | 6m | 6m | 6m |
Design conveyor belt line speed | 0m/s~6m/s | 0m/s~6m/s | 0m/s~6m/s |
(Control speed based on material ) | |||
Two-outlet discharge bin | √ | √ | √ |
High speed Al visual recognition system | √ | √ | √ |
PAlK inside Sorting software | √ | √ | √ |
Porous high-frequency jet module | √ | √ | √ |
Screw compressor | 15KW | 15KW | 15KW |
Deep learning control host | √ | √ | √ |
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