Imaging

Infrared thermal imaging to detect photovoltaic panels

Thermal imaging inspection uses infrared cameras to detect heat patterns across solar panel surfaces, revealing temperature variations that indicate potential problems. In this case study, we explore how AI is transforming IR anomaly detection, compare AI-driven analysis with traditional manual methods. . This position paper examines several computer vision algorithms that automate thermal anomaly detection in infrared imagery. This non-destructive testing method identifies hot spots, cell damage, connection issues, and other defects that can. . [PDF Version]