AI-powered spectral imaging improves plastic recycling

WSU researchers developed an AI-driven spectral imaging method to accurately identify recyclable plastics, promising more efficient sorting and reduced landfill waste. The new technique uses hyperspectral imaging and machine learning to distinguish between various plastic types on conveyor belts, crucial for producing high-quality recycled materials. This advanced method could improve upon current recycling technologies, which often struggle with degraded or discolored plastics, leading to better recycling outcomes.