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enfinium expands advanced visual AI across its waste-to-energy facilities

This article was originally posted on Chemical Engineering Online.
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Summary
Enfinium, a leading UK energy-from-waste operator, is rolling out advanced visual AI across all its operational facilities. The system, supplied by Wasteer GmbH, uses machine-learning image analytics to identify non‑conforming waste at the point of entry, enabling operators to flag and remove unsuitable materials after installation and calibration.

What benefits and challenges do you see with AI-driven waste screening in EfW plants—such as impacts on safety, throughput, costs, and workforce adoption?

enfinium (London, U.K.; www.enfinium.co.uk), a leading UK energy-from-waste (EfW) operator, today announces the expansion of advanced visual artificial intelligence (AI) technology across all operational facilities. Supplied by German software specialist Wasteer GmbH (Berlin, Germany; www.wasteer.com) the system uses cutting-edge analytics to identify non-conforming waste entering the processing facilities. Following installation and machine learning calibration, the technology […]

The post enfinium expands advanced visual AI across its waste-to-energy facilities appeared first on Chemical Engineering.

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