CX-028325: Development of a real-time, conveyor mounted detection, classification, and sortation system for contaminants (MSW Characterization)

AMP Robotics (AMP), in partnership with Idaho National Laboratory (INL) and Michigan Technological University (Michigan Tech), propose development of a real-time, conveyor mounted detection, and classification system using artificial neural networks (ANNs) to identify contamination within the commodity streams that can be separated out of municipal solid waste (MSW) and residue from materials recycling facilities (MRF) in the form of “whole material contamination” (for example, metal or glass in a residual paper stream) and “contact contamination” (for example, remaining film/gunk in or on plastic containers).