Mining
Person, PPE and vehicle detection underground and on the pit floor, where low light and blind corners make a near-miss hard to see coming.
An underground drift is dark, dusty and narrow, and it is shared by loaders, haul trucks and people on foot at the same time. A driver's sightline out of a cab is limited at the best of times, and a headlamp beam only reaches so far into a tunnel.
VICAS™ runs the same edge detection stack on mining equipment: cameras on the loader and around the drift pick out people, vests and hard hats in low light, track vehicles moving through the same space, and raise an alert while a person and a machine are still converging, not after they've closed the gap.
What it detects
Person and PPE detection underground
Workers standing in a drift or waiting area are detected and boxed even in low tunnel lighting, with high-visibility vests picked out as a separate check.
Helmet compliance in the cab
Hard hat compliance is checked for the equipment operator as well as workers on foot, so a violation inside the cab is caught the same way as one on the ground.
PPE compliance over private 5G
Site cameras stream to the platform over a private 5G link, checking helmet and vest compliance in near real time without depending on wired infrastructure.
Perimeter awareness on the open pit
The same edge stack watches the working face itself, keeping a worker on the slope in view against the conveyor and crusher plant behind them.
Impact on the operation
Stat figures are published industry benchmarks for AI-based visual inspection, not measured results from this specific line.
Share of all fatalities in some underground mining regions attributed to vehicle-related incidents, the risk this coverage targets
Reduction in safety-vest violations one manufacturer achieved within 30 days of deploying AI-based PPE monitoring
Reduction in unplanned downtime achieved by facilities running mature AI-based predictive monitoring for 18-24 months
Share of underground mining fatalities attributed to haul trucks, the largest single cause on record