Stanislav Baňački

A Lightweight Support-Vector-Machine-Based Infrared Image Processing Workflow for Photovoltaic Module Thermal Anomaly Screening

Deep networks dominate photovoltaic (PV) thermographic fault detection but need large annotated datasets and resist interpretation. We present a lightweight, interpretable infrared workflow combining support-vector-machine (SVM) module/background segmentation from four handcrafted features with an adaptive grid analysi...