Breaking Through Traditional Methods with AI + Hyperspectral Plastic Bottle Sorting Machine: Achieving Dual Breakthroughs in Quality and Efficiency
Industry Challenges
In the burgeoning plastic bottle recycling industry, PET bottles like mineral water and beverage bottles are a primary focus for recycling plants. However, as downstream industry demands higher quality raw materials and "bottle-to-bottle" sorting standards become stricter, recycling plants face unprecedented challenges: how to ensure high product quality while significantly improving sorting efficiency?
Product Technology
In this context, the new generation Pro series plastic bottle sorting machine, equipped with hyperspectral recognition technology and AI deep learning technology, has emerged as a timely solution. This advanced technology and exceptional performance offer a novel solution for recycling plants. The Pro series bottle sorting equipment integrates hyperspectral recognition technology and AI deep learning technology to accurately identify the material, color, and characteristics of plastic bottles. It effortlessly captures subtle spectral differences on the surface of plastic bottles, accurately distinguishing different materials and colors. The AI deep learning technology continuously optimizes the recognition algorithm through extensive data learning and training, improving recognition accuracy and efficiency.
Application Scenarios
The combination of these technologies enables the Pro series not only to accurately identify various types of PET bottles, oil jugs, small white bottles, and colored bottles but also to perform customized sorting based on customer needs, meeting different purification requirements. Additionally, the Pro series plastic bottle color sorter machine exhibits broad adaptability. It can handle multi-scenario purification needs throughout various bottle-to-flake processing stages. Whether dealing with mixed bottle materials or pre-sorted bottle materials, it can efficiently and accurately sort them, ensuring the stability and consistency of the sorting results.
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