Published: Jan 26, 2026
Driving proactive worksite safety through AI technology
For our client, raw materials sourcing was a high-risk operation, often conducted underground and highly vulnerable to weather disruptions. Limited visibility and the absence of remote monitoring made it difficult to ensure worker safety and maintain operational oversight.
To address this, we implemented a real-time intelligent monitoring system that shifted operations from passive supervision to proactive management. Powered by AI and advanced video analytics, the system continuously analyses live footage, using deep learning to detect unsafe objects and behaviours. Upon identifying anomalies, workers receive immediate alerts, enabling swift corrective action in line with safety standards. All incidents are automatically logged, creating a comprehensive audit trail to support future prevention and continuous improvement.
The solution significantly enhanced situational awareness across the worksite, improving monitoring efficiency and visibility of safety incidents. As a result, safety violations dropped by 90%, while compliance and operational consistency were strengthened, ensuring a safer and more controlled work environment.
Key takeaways
- Implemented AI-powered monitoring to enable proactive safety management in high-risk environments.
- Achieved a 90% reduction in safety violations through real-time detection and alerts.
- Improved situational awareness, compliance, and operational control across the worksite.
The challenge
The client relied on manual, on-site CCTV monitoring in a high-risk mining environment, resulting in delayed incident detection and limited incident analysis.
Operating in a remote, high-altitude location, the lack of real-time remote visibility hindered proactive safety management and increased operational risks.
The solution
Harnessing AI, NCS built an intelligent monitoring centre for accident prevention, real-time situational awareness and post-incident traceability. The platform uses advanced video analytics and deep learning to detect anomalies and unsafe behaviours, with AI models fine-tuned to each camera’s operating environment. All alerts and footage are automatically logged, creating structured audit trails that support root cause analysis and continuous improvement of safety guidelines.
Snapshot of capabilities
- Real-time remote monitoring: Enables rapid response to hazards with post-incident traceability for audits and compliance
- AI-powered video analytics: Continuously analyses footage to detect anomalies and trigger immediate alerts
The impact
With expanded visual coverage and AI-driven monitoring, the client achieved greater visibility across the mining site and more consistent safety enforcement. Safety violations were reduced by 90%, while earlier detection of potential hazards significantly improved overall site safety and operational control.