Photovoltaic (PV) panels generate direct current (DC) electricity through the photovoltaic effect. When sunlight hits the silicon cells, electrons get excited and flow in one direction – like commuters rushing into a subway during rush hour. This unidirectional flow is the hallmark.
In this research, we propose an integrated approach that combines image processing techniques and deep learning-based classification for the identification and classification of dust on PV panels. The image processing algorithms are utilized to detect and segment dust particles on the.
Hard water can cause scaling on the surface of solar panels, which can then lead to a lack of efficiency and possibly cause a short circuit that can break it completely.