PET Bottle Flakes Washing Line
To recyle the PET bottles we have mature technical parameters.
It contains the debale, trommel separation, Metals separator like the eddy current sorting machine and magnetic sorting machine, AI sorter for the bottles separation from the non pet bottles, also the crusher, floating tank, friction washing, hot washing system, and floating tank system, and dewatering machine, label serapator and the color sorter and material sorter etc and packing.
Here we want to mention the most important part is the AI sorter that brings to the whole washing line. In this step, if we use the suitable AI sorter it will help reduce large working load down stream. We could reduce the manual workers sorting. Also it will reduce the matrial sorter at the end of the line. At the same time it will largelt improve the whole PET flakes quality and increase the whole products quality.
We have been worked with several AI factories to improve our whole line quality and automatical working ability. It is from Meyer or the Tomra, Taihe etc.
The working principle of the AI bottle color sorter is as follows: It captures visual information of the bottles using high-speed cameras, employs pre-trained deep learning AI models to intelligently analyze and judge the images, identifying discolored bottles, bottles of different materials, and various defective bottles. Finally, it precisely eliminates the non-conforming products through a high-pressure air ejection system. This technology achieves a leap from "seeing" to "understanding," making it a typical representative of intelligent upgrading in the industrial sorting field.
Core Advantages of AI Bottle Color Sorters
Compared to traditional color sorters, AI bottle color sorters demonstrate significant advantages:
High Precision and Low Misjudgment Rate: AI models can comprehend complex contexts, such as distinguishing between normal reflections on bottle surfaces and oil stains, significantly reducing the probability of mistakenly rejecting good bottles (false positives).
Powerful Defect Detection Capability: Beyond color sorting, they can perform multiple tasks simultaneously, including both color sorting and defect detection.
Self-Learning and Adaptive Capability: The system can continuously collect new samples of non-conforming products, fine-tuning and improving the model over time. This allows it to become "smarter" with use and adapt to new types of impurities.
High Flexibility: Changing sorting criteria (e.g., switching from sorting green bottle fragments to transparent ones) typically only requires switching AI models or parameters, without the need for complex optical recalibration.
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PET Bottle Flakes Washing Line with AI Sorter High Precision and Self-Learning for Plastic Recycling Images
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