When placing EverestLabs AI in your facility, we provide visibility into plant operations like never before. Our AI is capable of identifying over 50 distinct recyclable material classes, a number that continues to grow. With detailed material characterization data, we can track and identify every item entering and/or leaving your plant. This includes detecting contaminants, analyzing color distribution, and distinguishing between FDA and non-FDA-grade polypropylene. MRFs and reclaimers can leverage this data to streamline operations and implement strategies that enhance both the quantity and quality of materials processed.
Having real-time insight into the materials entering and leaving your plant is crucial for optimizing operational efficiency. With EverestLabs’ AI-powered solutions, facilities can monitor and track the exact composition of their inbound and outbound materials. This not only helps in identifying potential issues such as contamination but also offers opportunities to fine-tune processes for better sorting and recovery. By knowing exactly what materials are being processed, facilities can enhance both productivity and sustainability.
Material characterization data can also be used for material audits. While most audits are performed manually today—an often time-consuming and potentially inaccurate process—AI offers an automatic, real-time, and continuous alternative. These audits will save your facility time and money while improving the accuracy of audits.
Landfill loss is a significant challenge for facilities aiming to reduce waste and maximize material recovery. EverestLabs AI offers a powerful solution by providing landfill loss analysis, allowing facilities to understand the composition and potential value of materials lost via their last chance line. By integrating up-to-date recycling market pricing data, this analysis helps operators identify high-value materials that are being discarded, offering insights into how to adjust sorting strategies to reclaim more materials and reduce landfill waste.
Reclaimers/recyclers are facing challenges sourcing and verifying high-quality bales of recycled content. AI-generated material characterization data can help. RecycleOS AI can analyze bales coming into recycling plants with industry-leading accuracy, providing a recycler with data on the types of material that make up their incoming bales. This material characterization data can measure contamination levels to help reclaimers understand the contamination rate in the bales they buy, and this data can be taken back to your suppliers to keep them accountable. Material characterization can also be used downstream to help reclaimers improve their process by optimizing upstream and/or adding RecycleOS robotics to sort out contaminants.
To learn more about the types of data EverestLabs provides to its customers, check out this short video.
Interested in learning how your facility can benefit from material characterization data? Get in touch with an expert.