AI RESEARCH
From Prediction to Diagnosis: Reasoning-Aware AI for Photovoltaic Defect Inspection
arXiv CS.CV
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ArXi:2603.26776v1 Announce Type: new Reliable photovoltaic defect identification is essential for maintaining energy yield, ensuring warranty compliance, and enabling scalable inspection of rapidly expanding solar fleets. Although recent advances in computer vision have improved automated defect detection, most existing systems operate as opaque classifiers that provide limited diagnostic insight for high-stakes energy infrastructure. Here we