Autonomous Inspection and Surveying Drones

Replace manual, error-prone surveys with daily autonomous drone flights that generate millimeter-accurate 3D models. This provides real-time inventory data, eliminating costly reconciliation errors and optimizing feed to the processing plant.

• Real Example: A copper mine reduced inventory variance from ±8% to under ±1%, freeing up $15M in working capital tied to inaccurate stock reporting.
• ROI Driver: Direct cost savings from improved inventory accuracy and reduced survey labor.

Deploy drones with AI-powered computer vision to autonomously scan highwalls for cracks, erosion, and rockfalls. The system generates risk heatmaps and prioritizes areas for geotechnical review.

• Real Example: An iron ore operator conducts weekly inspections in 2 hours instead of a 2-day manual crew deployment, removing personnel from hazardous areas.
• ROI Driver: Major reduction in safety incidents and liability, combined with a 70% decrease in inspection labor costs.

Use autonomous drones for routine inspection of kilometers of conveyor systems, identifying misalignment, belt wear, and spillage. AI analyzes thermal and visual imagery to flag anomalies for maintenance.

• Real Example: A gold mine prevented a catastrophic belt failure by detecting an overheated bearing, avoiding 48+ hours of unplanned downtime valued at over $2M in lost production.
• ROI Driver: Predictive maintenance that extends asset life and prevents costly, unexpected breakdowns.

Integrate LiDAR and photogrammetry data from drones directly into mine planning software. AI processes the data to update digital twins with as-built conditions, ensuring plans reflect reality.

• Real Example: A coal mine accelerated its weekly planning cycle by 3 days by eliminating manual data processing, enabling more reactive and optimal pit sequencing.
• ROI Driver: Faster decision velocity and improved resource recovery through accurate, up-to-date spatial data.

Automate the collection of seepage, deformation, and volumetric data for tailings storage facilities (TSFs). AI compares drone-captured data against design models to provide early warnings of stability issues.

• Real Example: A mining company automated its regulatory reporting, saving 200+ engineering hours monthly and providing auditors with immutable, timestamped data trails.
• ROI Driver: Mitigation of catastrophic environmental risk and significant reduction in compliance overhead.

Fly drones immediately after a blast to capture high-resolution imagery. AI vision models analyze fragment size distribution, providing feedback to drilling & blasting teams to optimize powder factors.

• Real Example: A quarry optimized its blast patterns, achieving a 15% increase in crusher throughput and a 10% reduction in explosive costs per ton.
• ROI Driver: Direct savings on consumables (explosives) and downstream processing efficiency gains.

Replace personnel in hazardous areas—like highwalls, tailings dams, and confined spaces—with autonomous drones. This directly addresses a major liability and insurance cost driver.

• Real Example: A major copper mine reduced its highwall inspection team's exposure by 80% in the first quarter, reallocating skilled personnel to analysis and planning.
• Key Benefit: Mitigate catastrophic safety incidents and associated downtime, protecting both lives and the social license to operate.

Move from monthly manual surveys—prone to human error and weather delays—to on-demand, AI-processed drone flights.

• Process: Drones autonomously capture thousands of geotagged images; AI stitches them into a precise 3D model and calculates stockpile volume.
• ROI Impact: Enables real-time inventory reconciliation, reducing working capital tied up in inaccurate stock measurements. One pilot client cut inventory variance from ±8% to under ±1%, freeing millions in capital.

Deploy drones with thermal and high-resolution cameras for routine structural inspections of conveyors, pipelines, and processing plants.

• AI Fix: Computer vision algorithms automatically detect cracks, corrosion, heat leaks, and belt misalignments, comparing findings against historical baselines.
• Business Value: Shift from reactive, costly breakdowns to predictive maintenance. A 90-day pilot on a conveyor system typically identifies 3-5 developing faults missed by manual checks, preventing unplanned stoppages that cost over $10k per hour.

A pilot provides the concrete data to build your business case.

• Labor Efficiency: One drone operator can survey 100+ hectares in a single flight, work that previously took a 3-person survey team 3 days.
• Data Velocity: Receive processed, actionable reports in 4 hours instead of 2 weeks.
• Eliminate Rework: Precise, auditable data ends disputes between operations and accounting over stockpile numbers.