RUSAL develops AI Technology for container control

RUSAL, one of the world’s largest aluminium producers, has developed an artificial intelligence-based technology for container control. This innovation significantly reduces the time required to dispatch containers from the terminal for loading with finished products.

The technology, developed by RUSAL’s Engineering Department, is currently being tested at one of the container terminals at the Krasnoyarsk Aluminium Smelter (KrAZ). It involves creating a virtual twin of the terminal, where machine vision and high-precision positioning systems recognize and track containers. The system records the location and identification numbers of all containers awaiting loading with aluminium.

This project won the ComNews Awards. Best Solutions for the Digital Economy 2024 in the “Best Digital Logistics Solution” category. The award ceremony took place on December 6, 2024, in Moscow. “This project has proven its effectiveness; it is part of a large set of measures aimed at increasing the shipment of aluminium in containers by 60% in the next two years. Containers provide the best cargo safety, maximum speed and convenience of logistics, especially in multimodal transportation. Considering the huge production volumes of KrAZ, such a significant increase in shipment would not be possible without digitization of processes. To achieve this goal, we also built a flat concrete platform nearby the terminals for multi-level storage of containers, the construction of another one is planned for next year,” said Vadim Ivanov, Commercial Director of KrAZ.

RUSAL is implementing numerous projects to digitize its production processes, utilizing neural networks, machine vision, and big data analysis. Artificial intelligence helps the company’s employees minimize routine tasks, saving time while improving the accuracy and efficiency of technological processes. The company’s success in digitalization plays a crucial role in promoting the potential of artificial intelligence and its practical applications.