Solar Panel Defect Detection

Detect performance-impacting defects and thermal hotspots with automated solar panel defect detection built for MW-scale solar parks. Drospect uses solar panel thermal imaging to surface anomalies and support faster maintenance decisions with GPS-mapped context.

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Automated Defect & Hotspot Detection

Drospect analyses inspection data to identify solar panel defects quickly and consistently across the site. Using solar panel thermal imaging, we flag temperature anomalies, highlight hot spots on solar panels, and generate a clear list of findings teams can verify and act on.

  • Automated solar hotspot detection across panels, strings, and zones

  • GPS-mapped findings for fast navigation and re-checks

  • Clear defect categorization to support prioritization

  • Export-ready outputs for reporting, handover, and O&M workflows

automated defect and hotspot detection

Defect Detection That Supports Fast Fault Finding

When issues are spread across thousands of modules, teams need a repeatable way to identify defective solar panels and prioritize follow-up checks. Drospect streamlines solar panel fault finding by organizing results into a clear workflow from detection to action.

  • Identify hot spots and anomalies with consistent rules across the full site

  • Review findings by severity and location to prioritize maintenance

  • Reduce time spent sorting imagery with an organized defect list

  • Support repeat inspections with GPS-mapped outputs and reporting

defect and detect image

See Drospect in Action

Schedule a demo to explore AI-powered solar inspection at MW scale.
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Frequently Asked Questions

What is solar panel defect detection?

How does solar panel thermal imaging help detect defects?

What causes hot spots on solar panels?

How does Drospect support solar panel fault finding for O&M teams?

Can this help us find defective solar panels across large sites?