Drone inspection in mining: how to reduce costs and operational risk

Drone inspection is no longer an experiment in mining. Today it is the cheapest way to answer three questions that cost money every day: how much material was moved, how stable the slope is, and where cycle time is being lost.

What is measured from the air?

Volumes and face advance. A weekly photogrammetric flight produces a 3D model with centimeter-level accuracy (typically between 1 and 5 cm, depending on ground control point density and the use of RTK). Stockpile inventory reconciliation stops being a monthly estimate.

Slope stability. Comparing point clouds between periods routinely reveals centimeter-scale deformations (and, with RTK and well-densified control points, down to millimeter levels in critical zones) before they are visible to the naked eye from the ground.

Drainage and water management. Contour lines derived from the model show ponding and runoff paths after each heavy rain.

Infrastructure and internal roads. Condition of berms, signage and road widths without stopping mine traffic.

Where does the return come from?

The savings do not come from the drone: they come from the hours that are not lost.

• Less field surveying. A survey that took a crew days is done in hours, without exposing personnel to active zones.
• Fewer unplanned stoppages. Detecting a deformation early turns an emergency into scheduled maintenance.
• Better fleet planning. With reliable volumes per period, the allocation of trucks and shovels stops depending on estimates.
• Compliance and traceability. Each flight remains as dated evidence for environmental authorities and internal audits.

What is the real bottleneck?

Most operations that buy drones end up with terabytes of images that nobody reviews. The value appears when each flight goes into a single repository that is comparable over time, and the system reads the differences and alerts on what changed: a slope that moved, a stockpile that does not add up, a road that degraded.

That is what Aeris does: it consolidates flights, photogrammetry, ground sensors and history in a single view, and delivers actionable alerts instead of files.

How to start without oversizing?

1. Define two or three decisions that are made today with old data.
2. Choose a pilot zone and a fixed flight frequency (weekly or biweekly).
3. Measure the before and after in crew hours, avoided stoppages and inventory deviation.
4. Only then scale to the whole operation.

Want to see the model applied to your mine? Write to us at hello@bluberri.io or visit our mining page.

Frequently asked questions

What can be measured with drones in a mine?

You can measure stockpile volumes, face advance, slope stability, drainage, runoff and internal infrastructure such as berms, signage and road widths.

How accurate is a drone survey?

With photogrammetry and well-densified control points, centimeter-level accuracy is achieved (between 1 and 5 cm), and in critical zones with RTK, even millimeter levels for deformation monitoring.

Where is the return on the investment in drones?

The return comes from fewer crew hours in the field, fewer unplanned stoppages from failures detected late, better fleet planning and dated evidence for compliance and audits.

Why do many operations see no value from their drones?

Because they accumulate images without processing them in a comparable repository. The value appears when the system reads the differences between flights and generates actionable alerts.

How to start drone inspection in mining?

Define two or three decisions that depend on old data today, choose a pilot zone with weekly or biweekly flights, measure the before and after in crew hours and inventory deviation, and scale only after validating.