Axora > Case Studies > Intelligent Visual Detection of Contaminants

Intelligent Visual Detection of Contaminants

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 Intelligent Visual Detection of Contaminants - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Machine Learning
Applicable Industries
  • Mining
Applicable Functions
  • Process Manufacturing
Use Cases
  • Object Detection
  • Software Design & Engineering Services
The Challenge

Contaminants on conveyor, if not detected, can lead to an increased cost and machine downtime.

The Customer
About The Customer

Russian nickel and palladium mining and smelting company.

The Solution

AI-based contaminant detection solution to prevent equipment damage.

Operational Impact
  • [Process Optimization - Real Time Monitoring]

    Improve throughput - Maximise ore production by avoiding unplanned downtime.

    Prevent unplanned downtime. Identify contaminants before they cause damage.


  • [Cost Reduction - Production]

    Save maintenance costs. Reduce repairs needed by preventing equipment damage.

Quantitative Benefit
  • Over 62% observed increase in removed contaminants.

  • Potential maintenance cost savings is $1m

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