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Inspiration Case – Based on real mining challenges and AI opportunities identified across our work
How safety teams could predict near-miss risks using AI pattern recognition
AI integrates weather, fatigue, and shift data to warn supervisors before risk escalates, cutting incidents 10-20%.
Context
Safety teams track incidents after they happen. Hidden patterns often go unnoticed until accidents occur.
Solution
AI integrates weather, fatigue, and shift data to flag patterns tied to near misses. The system warns supervisors before risk levels increase.
Results
Quality: 10-20% reduction
Incident frequency drops by 10–20%. Supervisors gain proactive visibility.
Data Inputs
Incident logs, weather data, shift records