Our LP Series
Used for whole bottle sorting.
Color sorting of plastic bottles
Deep Learning Technology + Visible Light Sorting Technology
Sorting of different polymers
Deep Learning Technology + Infrared Technology
Color & material sorting of bottles
Deep Learning + Visible Light + Infrared Technology
Separation of aging & fluorescent bottles
Deep Learning Technology + Dual Vision Ultraviolet Technology
Technical Specifications
| Capacity (Ton/Hour) | 1.5-2 |
|---|---|
| Carryover Ratio (Bad:Good) | >4:1 |
| Accuracy (%) | >98 |
| Voltage / Frequency (V/Hz) | AC220V/50HZ |
| Power (KW) | 7 (LP series); 10 (LPI series) |
| Weight (KG) | 4000 |
| Pressure (Mpa) | 0.6-0.8 |
| Air consumption (L/min) | <3500 |
| Dimension (mm) L*W*H | 9600*2000*2900 |
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Main Applications
The primary ways to use our LP series of Deep Learning Bottle Sorters
TYPES
Designed to sort beverage bottles, water bottles, daily chemical bottles, and oil bottles based in terms of the color, material, shape and aging.
STATES & SHAPES
Suitable for sorting washed, unwashed, labeled, unlabeled round bottles, press-packed bottles and other bottles of various shapes.
PET
Mainly used for sorting light blue, light green, light white, light yellow, light red and other color bottles in PET bottles, and can also accurately remove all kinds of different color bottles.
NON-PET
Support the separation of non-PET bottle materials, such as PP/PE/PC/PS/ABS/PVC/PA and other non-PET bottle sorting.
NON-PE
Detect and remove non-PE bottles.
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Product highlights
The features that make our LP series of Deep Learning Bottle Sorters outstanding
Leading-edge Technology
Combining 12 core technologies including fusion modeling technology, deep learning algorithm, S-level professional vision system, DgS smart chip, E image processing system, and intelligent self-learning system, our bottle sorter can easily realize multi-dimensional and multi-characteristic identification of materials.
Data-based Optimization
The system intelligently expands the sample data of rejected material by marking the sample characteristics, morphology, association, and non-association characteristics, so as to continuously optimize the sorting effect.
High Accuracy
High-speed sensors, chips and “missile guidance” systems ensure the sorting accuracy rates as high as 99%.