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In a Material Recovery Facility (MRF), the goal is simple: process as much as possible while keeping the material 100% pure. However, even with expensive automation, many plants are losing money to a hidden "profit killer"—the massive cost of manual Quality Control (QC). Because traditional machines have "blind spots," facility managers are forced to hire extra labor to catch what the machines miss. Why Traditional Sensors Fail? For decades, Near-Infrared (NIR) sensors have b

The global fashion industry faces a staggering sustainability crisis, discarding nearly 100 billion garments annually. While brands have set ambitious targets for using recycled materials by 2030, a massive technological bottleneck has blocked the path to true circularity: the limitations of traditional sorting. For years, Near-Infrared (NIR) has been the industry standard. Yet, it has critical blind spots: it cannot detect black garments, it fails when textiles are wet or da

In the recycling industry, you cannot manage what you cannot measure. For decades, facilities have relied on manual sampling and estimation. ROVOX iDart shatters this paradigm, transforming your facility into a data-driven powerhouse. iDart is more than an analytics platform—it is the Central Intelligence Hub that unifies every AIRWOLF robot and HELIOS sensor into one real-time interface. 💡 Hyper-Granular Purity Control Stop relying on averages. iDart uses advanced deep lear