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Energy & Utilities

Solar PV Critical Asset Management.

A GIS-based asset management platform with AI segmentation of solar PV arrays and thermal defect detection from drone surveys.

Solar PV Critical Asset Management — platform screenshot

The challenge

Utility-scale solar farms contain tens of thousands of modules. Identifying underperforming or damaged panels by manual inspection is slow, and findings are hard to map back to specific assets.

Our solution

DEEPSIGHT developed a GIS-based critical asset platform that combines drone surveys with AI:

  • Automatic segmentation of PV arrays and individual modules from aerial imagery
  • Thermal defect detection — single-cell, multi-cell and sub-string hotspots — with confidence scores
  • Every defect georeferenced and linked to its asset record
  • Map-based asset register for maintenance planning

Outcome

Operators can prioritise maintenance by severity and location, dispatching crews directly to faulty modules and tracking repairs over successive surveys.

Gallery

Solar PV Critical Asset Management — image 1
Solar PV Critical Asset Management — image 2

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