Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning

Lukas Bommes, Mathis Hoffmann, Claudia Buerhop-Lutz +5

Increasing deployment of photovoltaic (PV) plants requires methods for automatic detection of faulty PV modules in modalities, such as infrared (IR) images. Recently, deep learning…