Waste Stream Classification

Waste Stream Classification uses AI to perform classification of waste images, container sensor data, disposal records, and material descriptions, enabling higher-quality circularity decisions, by assigning waste items or batches to controlled material and contamination categories, across waste operations and circularity management workflows.

Waste and circularity teams struggle to classify mixed waste streams consistently across sites, contractors, and collection points. Manual sampling and coding miss contamination patterns, delay diversion decisions, and make recycling-rate reporting less reliable.

The AI performs classification on waste images, sensor records, and disposal data and produces material category, contamination, and routing labels. The output supports reviewed sorting, diversion, and contractor performance workflows.

The primary metric is recycling contamination rate; the target direction is lower contamination and higher diversion rate against the current baseline.

• •Representative waste images, disposal records, material category labels, and contamination definitions are available for target waste streams.
• •Waste capture points, sorting systems, or contractor reporting channels can pass classification outputs to the review workflow.
• •Material taxonomy, contamination rules, and downstream routing options are defined for each operating site or region.