High Risk of HSE Incidents Due to Manual Safety Monitoring and Fatigue Management
High Risk of HSE Incidents Due to Manual Safety Monitoring and Fatigue Management
Safe operating distances and worker fatigue management are critical in preventing HSE incidents. Historically, compliance relied on manual driver awareness and field personnel monitoring, which are vulnerable to human error, blind spots, and fatigue—leading to avoidable accidents and lost productivity.
SQE Solution
AI-Powered Mining Eyes, a computer vision system that monitors safety adherence across hauling roads and accommodation zones. The system identifies risky proximity behavior and ensures resting regulations are followed, issuing automated real-time alerts when violations occur.
Technology Approach
Powered by NVIDIA GPU acceleration and inference optimization, the system processes high-resolution camera streams in real time, enabling:
High-speed AI video analytics for object tracking and distance calculation
Scalable deployment at the edge, even in remote mining environments
Low-latency decision-making required for safety enforcement
Integration with centralized dashboards for site-wide visibility
Impact
USD 4.5 Million
potential value impact over 4 years
or
$1.1 Million
annual impact, as a result of:
- Revenue assurance by reducing downtime linked to safety incidents
- Cost avoidance from preventing injury-related losses and equipment damage repair
72.34%
alert accuracy
Enhanced safety culture
with automated compliance and reduced human error risk
Better workforce well-being
through structured fatigue management and rest enforcement
≥50%
reduction in unsafe distancing violations.
Increased operational continuity
with fewer disruptions caused by incidents
Transform Your Mining Operations with NVIDIA-Powered AI solutions
Speak with our team to explore deployment options, integration requirements, and early access for 2026.
Contact our AI mining specialists