AI for PPE Detection: Enhancing Safety on Mining Sites with Advanced Monitoring
Client Profile
Global leader in gold production with extensive international mining operations.
The 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
- Solution Implemented: Cloud-based AI system for PPE detection.
- Industry & Application: Global gold mining company focused on workplace safety.
- Key Benefits:
- Enhanced PPE compliance across international operations.
- Reduction in workplace injuries through AI-driven monitoring.
- Strengthened safety culture with a unified, data-driven approach.
- Business Impact:
- Operational efficiency improvements through automated safety checks.
- Scalable AI solution demonstrating the power of well-defined project scope.
- Industry Significance:
- Sets a new benchmark for AI-driven worker protection in mining.
