Detect hotspots, soiling, and underperforming panels across your entire array in a single flight. AI thermal analysis identifies issues before they impact revenue.
Infrared cameras identify individual cells, bypass diodes, and string-level hotspots before they cause panel failure or fire risk.
Visual AI detects soiling patterns affecting output — prioritizing cleaning operations for maximum ROI.
Detects micro-cracks, delamination, and physical damage invisible to standard visual inspection from the ground.
AI cross-references thermal data with expected output to flag strings and inverters performing below potential.
Monitors shading from vegetation growth that reduces output and maps areas needing maintenance.
Detects misaligned, loose, or corroded mounting hardware before it causes panel movement or damage.
From ground-mount pile driving through commissioning, Ceezaer tracks solar farm construction with the same AI progress monitoring used for commercial projects.