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
- Set up cloud-based PPE detection system.
- Connect to existing video servers across various international mining operations.
- Collect and analyze data to refine the model, accounting for diverse mining conditions.
- 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.
