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Unprocessed Pictures

The pictures with embedded coordinates by flying the drone

Solar Power Plant Inspection

As solar farms grow larger, efficient performance monitoring becomes increasingly important. Traditionally, technicians walked the site with handheld tools, capturing limited data and often missing early signs of faults. This slow, labor-intensive approach drives up inspection costs. Drone inspections with infrared and RGB cameras provide rapid, comprehensive, and high-precision diagnostics, dramatically reducing time on-site while improving accuracy.

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Process

At Inflights, we have built deep expertise in inspecting solar power plants with drone-mounted infrared and RGB cameras, delivering a consistent and highly actionable inspection product. In close collaboration with leading solar engineering and maintenance teams, we developed the Inflights standard for thermal and visual drone inspections -ensuring every anomaly is detected, classified, and mapped with precision. This standardized workflow is replicated across all our global drone operations, guaranteeing the same high-quality insights regardless of where the solar farm is located. Our inspection analysts are fully based in Brussels, ensuring uniform processing, interpretation, and reporting for every project.

Deliverables

Most maintenance platforms are not built to handle the large volumes of thermal and visual data produced during drone inspections. Manually reviewing thousands of images manually is slow, error-prone, and often misses subtle performance issues. In addition, thermal anomalies must be accurately classified to distinguish true defects from environmental artifacts. We transform raw infrared and RGB imagery into a clean, fully interpreted inspection dataset that software alone cannot achieve. Every hotspot, defect, and irregularity is validated by our analysts to reflect the real condition of the plant. Finally, we provide a structured fault report and geo-referenced CAD/GIS layers tailored to your operational and maintenance needs.