Listen to Jason Gates, CEO of Compology, discuss the importance of a standardized measure of contamination in recycling and organics streams and how artificial intelligence has made standardized scoring possible.

As covered by WasteDive and in our previous Waste360 Technology Reports regarding contamination and China’s recycling ban, we’ve discussed 1) the need for the American waste and recycling industry to readjust to a sustainable and profitable business model for recycling and organics in an ever-changing global economy, and 2) the need for American businesses to increase their focus on reducing their environmental footprint to keep pace with an evolving global environmental movement.

By identifying, measuring and eliminating contamination at the source to produce clean recycling and organics streams, waste haulers can provide higher quality and profitable service and businesses can track toward zero waste and diversions goals. Artificial intelligence and the Internet of Things in the form of in-dumpster cameras enable our industry to do just that.

Standardized Contamination Measurement

Compology’s Contamination Score[CScore] is the trusted standard for contamination identification and measurement and the key to a new generation of clean recycling and composting. CScore allows haulers to indisputably and appropriately bill customers, provide targeted, continuous, education to improve customer recycling compliance and switch flagged dumpsters to municipal solid waste routes to prevent contaminated material from reaching materials recovery facilities. Waste generators and cities can measure performance and track improvements toward zero waste and diversion goals.

To learn more about dumpster monitoring technology, artificial intelligence and the value of a trusted, standardized contamination measurement to identify, score and reduce contamination in recycling and organics, watch the video above, download an overview or contact Compology.