Oshkosh Corporation (NYSE: OSK) announced the launch of artificial intelligence-enabled technology that detects material contamination in real time during refuse and recycling collection. The system was developed by the company's McNeilus Truck and Manufacturing division in partnership with Lixo, a Paris-based waste-stream analysis company.

The technology uses computer vision and machine learning to identify more than 80 types of contaminants, including plastic bags, yard waste, textiles and hazardous materials. The system combines artificial intelligence, edge computing and cloud-based analytics to categorize materials as they are deposited into collection hoppers.

"Artificial intelligence and connected data systems are transforming how essential industries operate," said Jay Iyengar, executive vice president and chief technology and strategic sourcing officer at Oshkosh Corporation. "At Oshkosh, we are integrating these technologies into the vehicles and equipment that support critical infrastructure to aid efficiency and sustainability in the communities they serve."

Lee Dreas, president of McNeilus Truck and Manufacturing, stated that the technology "gives customers real-time visibility into what's entering the waste stream" and helps haulers demonstrate compliance while providing municipalities data to improve recycling performance.

The contamination detection system is available as a factory-installed option on new McNeilus vehicles and as a retrofit kit for existing fleets. The technology integrates with McNeilus' ClearSky Intelligence telematics platform, allowing customers to view contamination data alongside fleet and operational information.

Oshkosh Corporation, based in Wisconsin, employs over 18,000 people worldwide and manufactures vehicles and equipment under multiple brands including JLG, Pierce, McNeilus and Oshkosh Defense. The information is based on a company press release.