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Optical Sorting for Plastic Waste Recycling - Deep Learning Bottle Sorter ToronG-LP Series

Deep Learning Bottle Sorter ToronG-LP Series

Deep Learning Bottle Sorter ToronG-LP Series uses neural network technology to analyze, learn, and optimize sorting processes in real time—ensuring accurate, high-speed separation for a wide range of plastic bottles in complex recycling environments.

Deep Learning Bottle Sorter ToronG-LP Series
Deep Learning Bottle Sorter ToronG-LP Series

Main Applications

Designed to sort plastic beverage bottles and household chemical containers by color, material, shape, and aging. Suitable for washed or unwashed, labeled or unlabeled round bottles, mixed plastic bottles in bale form, loose bottles, and bottles of various shapes.

Optimized for separating light-colored PET bottles such as light blue, light green, light white, and others.
Supports sorting of non-PET bottle materials, including PP, PE, PC, PS, ABS, PVC, PA, and more.
Detects and removes non-PE bottles with high precision.

Flexible Configuration

Deep Learning Technology + Visible Light Sorting Technology (Color sorting of plastic bottles)

Deep Learning Technology + Infrared Technology (Material sorting of plastic bottles)

Deep Learning + Visible Light + Infrared Technology (Color & material sorting of bottles)

Deep Learning Technology + Dual Vision Ultraviolet Technology (Separation of aged plastic bottles)

AI Self-Learning Technology

The ToronG-LP utilizes deep learning to simulate the neural network of the human brain—automatically capturing large volumes of material characteristics, analyzing and learning from them, and optimizing algorithms to tackle increasingly complex sorting and recycling challenges.

Dome-shaped Uniform Light Scanning

The dot matrix scanning principle delivers more uniform and stable light distribution, making it suitable for complex working conditions. Ensures high sorting purity and consistent performance.

High Accuracy

High-speed sensors, advanced chips, and a “missile guidance” system ensure sorting accuracy rates as high as 99%.

Model ToronG-LP2 ToronG-LPI2 ToronG-LP4 ToronG-LPI4 ToronG-LP6 ToronG-LPI6
Accuracy (%) >99% >99% >99% >99% >99% >99%
Throughput (T/H) 1.5-2.0 1.5-2.0 4.5-6 4.5-6 5.5-7 5.5-7
Air Consumption (m³/min) <3.5 <3.5 <6.5 <6.5 <9 <9
Power (kW) 7 10 7.5 14 12 19.5
Voltage/Frequency AC380V/50HZ
Air Pressure (Mpa) 0.6~0.8 0.6~0.8 0.6~0.8 0.6~0.8 0.6~0.8 0.6~0.8
Weight (KG) 3400 3400 4600 4600 5600 5600
Dimension (mm) (LxWxH) 7360 x 1870 x 2660 7360 x 1870 x 2660 7360 x 2770 x 2550 7360 x 2770 x 2550 7330 x 3570 x 2550 7330 x 3570 x 2550

Note: Parameters listed are for reference only and may vary depending on the application and feed conditions.

How Can We Help You?

Contact our sales team for a quotation.

Please Contact us for pricing, check availability, or ask for additional information about our Deep Learning Bottle Sorter ToronG-LP Series
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