A REVIEW ON IMAGE PROCESSING TECHNIQUES FOR DAMAGE DETECTION ON PHOTOVOLTAIC PANELS

The image processing topics for damage detection on Photovoltaic (PV) panels have attracted researchers worldwide. Generally, damages or defects are detected by using advanced testing equipment which is still quite varied according to the types of damages. In this respect, the types of damages of solar panels or photovoltaic modules can be classified into damage on module surface, shadows and dirt from external effects and internal problems originating from the PV system itself. These damages can be ef fectively detected using the image processing method-based imaging technology, namely Electroluminescence (EL) and Infrared (IR) thermal imaging. The results of measure ment can be used for the application of complex computer vision techniques which are sorted into stages of image acquisition, image processing and pattern recognition. This paper would like to investigate more detailed about the damages of photovoltaic module identification and the image processing techniques for the reasons of ensuring safe and efficient utilization of photovoltaic systems.