Smarter, Safer Mining Operations

AI Vision that makes mining operations safer, smarter, and more efficient. Increase safety, maximize operational visibility, and optimize mining performance through intelligent visual monitoring.

Transform your mining operation with AI-powered visual intelligence. Monitor workers, vehicles, equipment, and critical infrastructure in real time to prevent accidents, and improve operational efficiency.
Analyzing video streams from cameras deployed across your mining operation, we automatically detect unsafe behaviors, monitor PPE compliance, track fleet movements, identify operational bottlenecks, supervise conveyor belts, and generate actionable insights that help mining companies operate more safely, efficiently, and sustainably.

Confined Space Monitoring

Detect faster, respond faster, reduce operational risk.

Working in confined spaces presents some of the highest safety risks in industrial operations. Limited visibility, restricted access, hazardous atmospheres, and human error can quickly lead to life-threatening situations.

Our computer vision technology provides 24/7 real-time visibility inside confined spaces, automatically detecting unsafe situations, tracking personnel, verifying PPE compliance, and issuing immediate alerts when safety protocols are breached—helping prevent incidents before they happen.

Confined space monitoring example

Conveyor Monitoring

Keep material flowing without interruption.

Monitor conveyor belts automatically to detect blockages, spillage, material buildup, abnormal operating conditions, and other events that may impact production. AI Vision enables early intervention, reducing downtime while improving process efficiency and equipment reliability.

Image and video analysis example

Hazardous Zone Monitoring

Protect workers by continuously monitoring hazardous and restricted areas in real time.

Our AI platform automatically supervises predefined safety zones, detecting unauthorized access, unsafe proximity to heavy equipment, and other protocol violations as they occur. Real-time alerts enable rapid intervention, helping prevent accidents, improve safety compliance, and maintain continuous operational awareness across your mining site.

Hazardous zone monitoring example

Real-Time Safety Monitoring

Prevent Accidents Before They Happen

Detect fatigue, distraction, mobile phone usage, smoking, and seat belt violations inside mining vehicles. Continuously monitor people, vehicles, equipment, and work areas to detect safety risks as they occur. Our AI-driven Safety Monitoring solution detects potential hazards before they become accidents, giving safety teams the visibility needed to intervene early.

Edge-based computer vision example

Worker Without
PPE.

Worker Inside
Restricted Area.

Fatigued
Driver.

Mobile Phone
Usage.

Pedestrian Near
Heavy Equipment.

Unsafe Worker
Behavior.

Cycle Time Measurement

We analyze video footage to identify and interpret objects in the physical world, providing continuous, real-time monitoring of your operations.

Our systems can detect, classify, and track vehicles in real-time to identify vehicle trajectories and pinpoint the exact moment a vehicle starts, stops, or passes specific points, allowing managers to determine exactly when a cycle begins or ends.

Face recognition example

Equipment Monitoring

Monitor critical equipment in real time.

Track the operational status of mining equipment, identify abnormal conditions, verify operating procedures, and detect potential issues before they disrupt production. AI Vision helps improve equipment availability while reducing manual inspections and unplanned downtime.

Equipment monitoring example

Remote Site Monitoring

Monitor vast mining areas from anywhere.

Leverage satellite, drone, and fixed-camera imagery to continuously monitor large mining sites, critical infrastructure, environmental conditions, and operational changes. Detect anomalies, unauthorized activities, and land changes faster while reducing the need for manual inspections.

Remote site monitoring example