ERG implements an AI project focused on a smart machine vision system, saves over $US 300,000 in production costs
– Idle time due to overheating down by 75% since July 2024.
– The system detected 80% of defects – as confirmed by human operators.
– Savings of over $US 300,000 over the first three months during realization of the project.
Eurasian Resources Group (ERG), a leading diversified natural resources group headquartered in Luxembourg, also won the Leader of the Year in AI Application in Industry title in the Digital Almaty Awards 2025 contest. The project has also been awarded cloud storage space worth KZT 10 million (around $US 19,000) as a special prize from VK Cloud in the Industrial AI Battle.
SBM, an innovative smart machine vision system for steel belt monitoring, clearly demonstrates that AI has a high potential in the metals and mining industry. The project was implemented at pellet production section No. 1 of Kazchrome’s Donskoy Chrome Ore Mining and Processing Plant in Khromtau. The IT solution includes two key modules:
Overheating prediction: this module predicts belt overheating before it actually occurs, enabling operators to respond preemptively.
Defect detection: this module helps detect defects at an early stage, making it possible to repair them without disrupting the production process.
The technology has been developed and implemented by the team of the industrial AI development department at Business and Technology Services LLP (“BTS”), led by Askhat Bukeyev, in cooperation with experts from Donskoy GOK Dias Eldes, Nursultan Karasartov and Zharbol Maksat.
“This project is a major step forward for the entire industry. Using AI helps streamline production processes and significantly reduce production costs. We are proud of our team and would like to thank everyone who supported us on this journey,” said Dias Eldes, the manager of the project.
