Automated Mine Visual Monitoring
This AI solution focuses on automating visual monitoring of mining operations using imagery and video. It covers continuous observation of large, remote, or hazardous areas via satellite, aerial, and fixed cameras to detect physical changes, objects, and hazards in near real time. Instead of relying on manual review of imagery and video, models are trained to recognize relevant features such as equipment, personnel, stockpiles, slope changes, vehicles, and unsafe conditions. This matters because mining operations span vast, hard‑to‑access areas and high‑risk environments where traditional inspection and monitoring are slow, inconsistent, and costly. Automated mine visual monitoring improves safety by enabling earlier detection of hazards, enhances compliance and environmental oversight, and reduces the need for people to enter dangerous locations or travel to remote sites. It also supports better planning and operational decision‑making by turning unstructured visual data into timely, actionable insights.
The Problem
“Your mines are full of blind spots because humans can’t watch every camera and image feed”
Organizations face these key challenges:
HSE and operations teams can’t keep up with reviewing satellite, drone, and CCTV imagery across all sites
Hazards like rock falls, unsafe proximity to equipment, or slope instability are spotted late or only after an incident
Monitoring quality depends on who’s on shift and how tired they are, leading to inconsistent detection of risks