WasteVision AI — Contamination DetectionWasteVision’s AI-powered contamination detection identifies contaminants at the hopper in real time, ties every event to the generator address, and gives haulers and municipalities the data they need to educate, enforce, and reduce MRF costs — all without the driver lifting a finger.
Contaminated recycling loads create a chain reaction of cost, inefficiency, and environmental harm that impacts every stakeholder in the waste stream.
When contamination exceeds thresholds, the MRF refuses the load entirely — redirecting it to the landfill at significant added cost.
Rerouting a rejected load to the landfill wastes driver time, adds fuel costs, and increases vehicle wear — all unrecoverable expenses.
Requiring drivers to monitor lifts on an in-cab display and manually flag contamination events is inefficient, ineffective, and unsafe — forcing them to take their eyes off the road during active collection.
Without contamination data, municipalities can’t measure, report, or improve recycling purity — undermining zero-waste commitments.
WasteVision uses your existing on-board fleet safety cameras to analyze the recycling stream at the moment of collection. The driver concentrates on driving safely — the AI does the rest.
On-board cameras automatically photograph the recycling stream as it enters the hopper during collection.
WasteVision’s AI models identify bags, styrofoam, construction debris, yard waste, and other prohibited materials in milliseconds.
Using Modern Service Verification, the contamination event is tied back to the specific bin address with geo-location and photographic evidence.
Haulers and municipalities use the documented evidence to send educational outreach, issue warnings, or apply fines to repeat offenders.
WasteVision has developed purpose-built AI models to detect the most prevalent and costly forms of recycling contamination.
The single biggest culprit of recycling contamination. WasteVision detects bagged recyclables entering the hopper — the contaminant most MRFs cite as the primary cause of load rejection and equipment damage.
Expanded polystyrene (EPS) is non-recyclable in most curbside programs and contaminates entire bales. Our AI identifies styrofoam pieces and packaging before they reach the MRF.
Wood, drywall, concrete, and other C&D debris damage MRF sorting equipment and create costly processing shutdowns. WasteVision catches these heavy contaminants at collection.
Grass clippings, branches, and organic yard waste contaminate recycling bales and reduce material value. Our AI identifies organic contaminants mixed into the recycling stream.
Two distinct audiences. One powerful platform. WasteVision contamination detection delivers ROI to private haulers and government entities alike.
Haulers use contamination detection to protect margins, reduce MRF penalties, and win competitive bids.
Municipalities use contamination detection to meet sustainability goals, educate residents, and reduce program costs.
When a contamination event occurs, WasteVision provides the municipality or hauler with everything needed to educate the responsible generator: a photograph of the contaminants at the hopper, a picture of the bin with geo-location, and the specific address it ties back to. This data is used to send postcards or emails directly to the generator with information on how to recycle correctly — all without any manual effort.
Every contamination event is tied to the specific bin address through Modern Service Verification — identifying exactly which generator is responsible.
Captures the bin before pickup and the contamination at the hopper — a documented chain of evidence linked to GPS, timestamp, and address.
WasteVision generates structured contamination reports for haulers — organized by route, generator, contaminant type, and frequency — so data is actionable, easy to access, and ready for operational decision-making.
Our open API platform integrates directly with your existing ERP and billing systems, so contamination data flows seamlessly into the tools your team already uses — no silos, no manual data entry, no extra steps.
The WasteVision platform tracks the number of contamination infractions per generator, making it easy for haulers to enforce a three-strike rule — which can result in fines or termination of service for repeat offenders.
Discover how WasteVision’s AI-powered contamination detection can reduce MRF costs, meet sustainability goals, and deliver actionable intelligence from every route — starting today.