Oshkosh Corporation Introduces AI-Enabled Material Contamination Detection Technology Developed by McNeilus
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The system leverages artificial intelligence, edge computing and cloud-based analytics to identify material contaminants in real time during refuse and recycling collection. By detecting and categorizing materials as they are deposited into the hopper, the technology can help haulers, municipalities and sustainability leaders manage contamination and divert more waste from landfills, while helping meet regulatory and environmental goals. Using computer vision and machine learning, the system can identify more than 80 contaminants with excellent accuracy, including plastic bags, yard waste, textiles and hazardous materials.
“Artificial intelligence and connected data systems are transforming how essential industries operate,” said
The technology was developed in collaboration with Lixo, a
“Material contamination detection represents the next evolution in refuse and recycling collection,” said
This innovation underscores Oshkosh’s commitment to delivering essential vehicles, technologies and services to customers operating in resilient, growing markets where rising demand for sustainability and data-driven solutions is transforming how work is performed.
Material contamination detection technology is available as a factory-installed option on new
To learn more about McNeilus’ smart material contamination detection for clean collection, visit McNeilus Contamination Detection. To learn more about how
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