AI Optical Sorting Machine
Product Application : waste paper, PET bottles, HDPE bottles, pop cans , plastic bags, PP bottles, aluminum cans, iron cans, etc.
Product Description
AI Optical sorting machine is an intelligent device based on optical detection technology, which realizes automatic classification, impurity removal and quality grading for plastic bottles, cans and other packaging containers and related recycled materials. It captures the optical characteristics of materials (such as color, material reflective properties, surface texture, etc.), combines image processing and intelligent algorithms, accurately identifies different types of materials, and completes sorting through mechanical actuators. It is widely used in resource recycling, regeneration and other fields.
Applicable materials:
1. Plastic bottle related materials:
Complete plastic bottles: mineral water bottles (PET), beverage bottles (PET/PE), cooking oil barrels (HDPE), cosmetic bottles (PP), etc., sorted by material, color, and transparency.
Broken plastic flakes: Flake materials after plastic bottles are broken, remove impurities such as label paper, metal cap residues, glass fragments, and graded by material (such as PET flakes, PE flakes).
2. Cans and metal packaging:
Complete cans: aluminum cans (such as cola cans), iron cans (some beer cans), sorted by metal material, remove rusty and deformed cans.
Broken metal flakes: metal fragments after cans are broken, distinguish aluminum from iron (can be combined with magnetic separation technology), and remove non-metallic impurities such as plastic labels and dust.
3. Mixed recycled materials:
Plastic-metal mixed waste: such as a mixture of beverage bottles and metal caps, the sorting machine can identify the optical difference between the plastic bottle body and the metal cap to achieve automatic separation.
Recyclables in domestic waste: In waste sorting scenarios, identify and sort out recyclable packaging such as plastic bottles and cans to increase resource recovery rates.
Core advantages:
1. Efficient classification and recycling: The processing speed can reach hundreds of materials per second (such as broken plastic pieces), which is suitable for large-scale production lines and improves recycling efficiency.
2. High-precision identification: It can distinguish micron-level surface differences or spectral feature differences, such as accurately distinguishing PET and PVC plastics (different spectral absorption peaks), and the difference in metal properties between aluminum cans and iron cans.
3. Non-contact non-destructive testing: Optical detection does not contact the material to avoid scratches, deformation and other damages. It is especially suitable for materials that need secondary processing after recycling (such as recycled plastic particles).
4. Intelligence and automation: Support automatic learning of new material characteristics (such as adding new plastic bottle color models), remote monitoring of sorting data (such as classification accuracy, production capacity statistics), and reduce manual intervention.
5. Environmental protection and resource utilization: Accurately remove impurities (such as metal mixed into plastic), improve the purity of recycled materials, reduce subsequent processing costs, and meet the needs of the circular economy.
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Technical Parameters
Can be customized according to specific needs
