AI RESEARCH
A Self-Evolving Defect Detection Framework for Industrial Photovoltaic Systems
arXiv CS.AI
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ArXi:2603.14869v1 Announce Type: new Reliable photovoltaic (PV) power generation requires timely detection of module defects that may reduce energy yield, accelerate degradation, and increase lifecycle operation and maintenance costs during field operation. Electroluminescence (EL) imaging has therefore been widely adopted for PV module inspection. However, automated defect detection in real operational environments remains challenging due to heterogeneous module geometries, low-resolution imaging conditions, subtle defect morphology, long-tailed defect distributions, and continual data shifts