RUSAL Deploys AI to Monitor Aluminum Alloy Quality

A computer vision system is helping one of the world’s top aluminum producers enhance production accuracy and reduce defects in high-stakes alloy manufacturing.
RUSAL, a global leader in aluminum production, is now using artificial intelligence to monitor key stages in molten alloy preparation. The new machine vision system was developed by the company’s Engineering and Technology Center in partnership with experts from the Taishet Aluminum Plant. It has already passed real-world tests and proven its effectiveness in industrial settings.
The AI automates quality control during the alloying process, which typically includes 7 to 20 separate steps. Using live video feeds, the neural network tracks operator and equipment actions in real time, issuing recommendations based on approved process workflows. This minimizes human error and reduces the risk of deviations in the metal’s chemical composition.
According to Mikhail Grinishin, Director of Production Automation at RUSAL ITC, adopting digital tools like this is crucial for modern metallurgy, where precision and adherence to technical standards are key to maintaining global competitiveness.