Optical sorting is the use of cameras and other sensors to identify materials on a moving line and separate them automatically. In recycling, that often means combining image analysis, near-infrared sensing, spectroscopy, or other sensor signals with air jets or robotics so plastics, paper, metals, and contaminants can be separated at speed.
How It Works
An optical sorter watches material on a belt, classifies what it sees, and then triggers a physical action such as an air burst or robotic pick. Modern systems increasingly combine classic sensor-based sorting with computer vision, object detection, and sometimes hyperspectral imaging so they can recognize more difficult packaging formats and contaminants.
Why It Matters
Optical sorting matters because better identification usually leads to cleaner output and higher recovery of valuable materials. It also helps facilities react faster to shifting inbound composition, contamination spikes, and changing end-market demand.
Where You See It
Optical sorting appears in material recovery facilities, plastics reprocessing, metal recovery, mining, and food processing. It is especially relevant to Intelligent Recycling and Waste Sorting, where sorting quality depends on recognizing more than just broad categories like "plastic" or "paper."
Related Yenra articles: Intelligent Recycling and Waste Sorting and Waste-to-Energy Plant Optimization.
Related concepts: Material Recovery Facility, Computer Vision, Object Detection, Hyperspectral Imaging, and Sensor Fusion.