Advanced PPE Detection on Mining Sites for Enhanced Safety

Client Profile

Global leader in gold production with extensive international mining operations.

Challenge

  • Inconsistent use of Personal Protective Equipment (PPE) across multiple global mining sites
  • High workplace injury rates due to PPE non-compliance
  • Inefficient manual inspection processes in vast and complex mining environments

Project Scope

  1. Set up cloud-based PPE detection system.
  2. Connect to existing video servers across various international mining operations.
  3. Collect and analyze data to refine the model, accounting for diverse mining conditions.
  4. Implement a Proof of Concept (POC) model to detect specific PPE items.

PPE Items to Detect

Hard Hat
Glasses
Mask (PAPR and Normal)
Vest

Additional Features

  • Real-time monitoring and alerting system
  • Dashboard for safety managers and mobile app for supervisors, with multi-language support

Solution

  • Advanced computer vision algorithms for PPE detection and classification
  • Integration with one existing camera system
  • Data storage and analytics capabilities
  • User-friendly dashboard for the safety team


Results and Benefits

Conclusion

The cloud-based AI solution, focused on detecting specific PPE items, transformed the gold mining giant’s approach to workplace safety on a global scale. By implementing this targeted system across its international operations, the company significantly improved compliance, reduced injuries, and fostered a stronger, unified safety culture. This case study demonstrates how a well-defined AI project scope can lead to innovative solutions that drive tangible improvements in worker protection and operational efficiency in the global gold mining industry.