LIRNet: A Lightweight Inception Residual Convolutional Network for Solar Panel Defect Classification
Solar-cell 159 panels use sunlight as a source of energy to generate electricity.However, the performances of solar panels decline when they degrade, owing to defects.Some common defects in solar-cell panels include hot spots, cracking, and dust.Hence, it is important to efficiently detect defects in solar-cell panels and repair them.In this study,