Case Study: a leading metals and mining company avoids costly downtime with Roboflow

Leading Metals and Mining Company measures 100 million rocks a week with Roboflow

A leading metals and mining company faced the challenge of unpredictable and costly downtime caused by equipment wear and tear in its jaw crushers. This unexpected maintenance led to damaged downstream equipment and millions of dollars in lost productivity. To address this, the company partnered with Roboflow to implement a vision AI solution for predictive maintenance.

Roboflow provided AI dataset optimization and a hosted model training service, enabling the company to quickly develop and deploy an accurate vision AI model. This solution processes over 100 million rocks each week on edge devices, measuring their size to detect performance anomalies in the crushers. The results allowed the company to proactively schedule maintenance, avoiding millions of dollars in downtime and damages while increasing overall throughput.