Material Recovery Facilities (MRFs) around the world are rapidly adopting AI-powered vision systems that identify, classify, and extract recyclables with precision far exceeding traditional sorting technologies.
Recent pilot programs in Germany, the Netherlands, and the United States reported:
- 20–40% higher purity in sorted LDPE/PP fractions;
- Reduced labor dependency and improved workplace safety;
- Real-time data analytics for material composition and contamination rates.
With costs decreasing and performance rising, AI-based sorters are expected to become mainstream, particularly in plants processing flexible packaging where accurate identification has historically been a major challenge.