Waste Monitoring
Vision for understanding of waste streams
Waste understanding remains one of the most challenging applications for computer vision, with a significant potential for sorting automation and process optimization.
Our survey paper “A Review of Computer Vision for Industrial-Grade Waste Classification” , provides an overview of challenges, methods and existing datasets in this field:
Our paper, “ParticleSAM: Small Particle Segmentation for Material Quality Monitoring in Recycling Processes”, presents an adaptation of the SAM model for segmentation of extremely small particles at a very high density in images.
