Litcius/Paper detail

Defect detection and quantification in electroluminescence images of solar PV modules using U-net semantic segmentation

Lawrence E Pratt, Devashen Govender, Richard Klein

2021Renewable Energy117 citationsDOI

Topics & Concepts

Photovoltaic systemElectroluminescenceWaferSegmentationReliability (semiconductor)Artificial intelligenceComputer scienceImage segmentationProcess (computing)Crystalline siliconObject detectionComputer visionSolar cellMaterials scienceOptoelectronicsEngineeringElectrical engineeringNanotechnologyPhysicsQuantum mechanicsLayer (electronics)Power (physics)Operating systemIndustrial Vision Systems and Defect DetectionPhotovoltaic System Optimization TechniquesAdvanced Neural Network Applications
Defect detection and quantification in electroluminescence images of solar PV modules using U-net semantic segmentation | Litcius