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Sector briefing · AI and automation

Inspecting assets with drones and computer vision

Lowering inspection costs and risk across networks and plants.

ConfX editorial28 August 20263 min readEnergy and utilities
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Why it matters

Utilities are using drones, satellites and computer vision to inspect lines, pipelines and plants faster and more safely than manual inspection allows.

Automated inspection produces large volumes of images and data. The value comes from turning them into prioritised maintenance work and tracking asset condition over time.

By the numbers

€730bnEU distribution grid investment needed by 2040 1
€1.2tntotal EU electricity grid investment needed by 2040 1
~$550bnglobal grid investment expected in 2026, up nearly 20% 2

What's changing

  • Beyond-visual-line-of-sight drone operations are expanding under new aviation rules.
  • Computer vision detects defects such as corrosion and vegetation encroachment.
  • Inspection data feeds risk-based maintenance planning.

How leaders are responding

  • Standardising image capture so models can be trained across regions.
  • Integrating findings into asset management systems.
  • Combining automated detection with expert review.

What good looks like

  • Inspection programmes prioritised by asset risk and criticality
  • Image analysis results that flow straight into work orders
  • Drone operations that meet aviation rules and protect privacy

What to watch

  • Regulatory approvals for long-distance drone flights.
  • Satellite data for vegetation management.
  • Inspection data integrated with digital twins.

Where to start

Pilot automated inspection on one asset class, and compare findings, cost and safety with manual inspection.

Questions for your leadership team

  1. Which inspections are most hazardous or costly today?
  2. How will findings flow into maintenance decisions?
  3. Which aviation approvals do we need?