Comparative Evaluation for Tracking the Capability of Solar Cell Malfunction Caused by Soil Debris between UAV Video versus Photo-Mosaic

Monitoring the malfunction of solar cells (for instance, 156 mm by mm) caused soil debris requires a very low flight altitude when taking aerial photos, utilizing autopilot function unmanned vehicle (UAV). The can only operate at certain level that guarantee collision avoidance for obstacles power lines, trees, buildings) adjacent to place where panel is installed. For this reason, photos taken capture unnecessary objects (surrounding buildings and roads) around tremendous level. Therefore, autopilot-based thermal imaging causes severe data redundancy with few matched key-points malfunctioned cells. This study aims explore tracking capability on defects in cell scale between UAV video versus photo-mosaic. experimentally validated video-based track deficiency photo-mosaic terms correlation signatures (0.98–0.99), detection spatial patterns (81–100%), distributional property (90–95%) 2.5–3.4 times more results could serve as valuable reference employing stream process investigating scale.