Novel Solar Panel Defect Detection Hardware and Defect Analysis Software: Cooperative Research and Development Final Report, CRADA Number CRD-22-22823

The CRADA work involved 1) the development of a machine learning software architecture to automatically detect defects within Electroluminescence images of solar panels, and 2) demonstrations of the usefulness of UV Fluorescence (UVF) defect detection for a wide variety of defect types across many different solar panel technologies with different field or environmental chamber histories.