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RoboticsDRONELIFEPublished: Oct 22, 2026, 01:00 JST

Team UAV wraps 500 transformer drone inspections for National Grid Electricity Distribution

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Team UAV wraps 500 transformer drone inspections for National Grid Electricity Distribution

3 Key Points

  1. What happened

    Team UAV completed drone inspections of 500 pole-mounted transformers across National Grid Electricity Distribution's network, covering Cornwall, Wales and the Midlands, and built a custom GIS database linking each image set to a transformer location.

  2. Why it matters

    The high-resolution imagery will feed an innovation project exploring whether artificial intelligence and computer vision can identify visible signs of deterioration such as corrosion, potentially helping the operator spot issues earlier and make more informed maintenance decisions.

WHO IT HITSElectricity network operators and their maintenance teams stand to gain earlier warnings of asset deterioration if the AI analysis proves workable, while drone service providers see a repeatable model for large-scale infrastructure inspections.

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Context & Analysis

The inspection program required groundwork before any drone took off. Team UAV ran technical trials to settle on equipment, camera positions and capture techniques, with a central goal of collecting imagery consistently enough that photos from different sites would work for AI analysis. Working from NGED's national asset list, the team planned and carried out inspections across Cornwall, Wales and the Midlands, and where access restrictions, vegetation or missing infrastructure blocked a site, it identified suitable locations and alternative assets. Crews uploaded imagery from the field into a custom GIS database that linked each set of images to an individual transformer location alongside survey information and metadata.

The project pairs Team UAV's data capture with Softwire's AI and software development, and both companies frame it as a test of whether aerial imagery and computer vision can automate parts of condition assessment. According to Favour Eboh, innovation engineer at National Grid Electricity Distribution, pole-mounted transformers play a critical role in delivering electricity to homes and businesses, particularly in rural communities, and the project will assess the technology's potential to support future network asset management. The outcome of that assessment is not yet known, and the initial phase is expected to be completed by the end of 2026.

FAQ
Who is funding the project?
The Network Innovation Allowance (NIA) funds the project, which is examining how drone imagery and computer vision can identify visible signs of deterioration, including corrosion.
What role does Softwire play?
Softwire, a fellow NGED supplier, is developing the computer vision models and a prototype web application that will use the imagery to assess transformer condition.
When is the initial phase expected to finish?
The companies expect the initial phase of the wider project to be completed by the end of 2026.
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