Novel Solar Panel Defect Detection Hardware and Defect Analysis Software Cooperative Research and Development Final Report

Summary

The National Renewable Energy Laboratory (NREL) and BrightSpot Automation collaborated to address the challenge of effectively detecting defects in solar panels, crucial for assessing durability and informing product development. Their approach involved developing machine learning software for automated defect detection in electroluminescence images and demonstrating the versatility of UV Fluorescence technology for identifying a wide range of defects in both outdoor and indoor settings. This cooperative research and development project is now completed, having yielded new tools and methodologies to improve solar panel inspection.

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