THE HIGH-LEVEL GOALS OF THE PROJECT ARE TO: • DEVELOP A NEW METROLOGY SYSTEM FOR IMAGING SOLAR CELL DEFECTS AND GLASS CRACK DEFECTS IN FIELDED CDTE SOLAR PANELS AND FOR ESTABLISHING BASELINE IMAGES PRIOR TO INSTALLATION. • DEVELOP AN AI SOFTWARE PLATFORM TO ANALYZE THE IMAGES CAPTURED AND AUTOMATICALLY DETECT THE “DEFECTS” THEREIN. • CORRELATE THE PL SIGNATURES FOUND TO FIELD PERFORMANCE OF THE PANELS, SO WE KNOW WHICH SIGNATURES TO WORRY ABOUT. • CONDUCT PARTIAL SHADE INDUCED DAMAGE TESTING AND CAPTURE THE DEFECT SIGNATURES ASSOCIATED WITH THIS DEGRADATION MODE. THE OUTCOMES OF THE PROJECT WILL BE: • REDUCED COSTS, HIGHER PERFORMANCE, AND HIGHER FINANCIAL RETURNS OF CDTE SYSTEMS ACCORDING TO TECHNO-ECONOMIC MODELS. • LOWER RISKS AND A REDUCED BARRIER FOR INVESTMENT IN CDTE SYSTEMS.