Image Resolution and Defects Detection in PV Inspection by Unmanned Technologies

In the last ten years solar energy has expanded its application range from power plants to many industrial applications. The main scope of this paper is to investigate the correlation between aerial image capture altitude and potential defect identification on PV modules. For this scope, unmanned technology was employed to fly over a test laboratory in order to capture images of the modules using sensor and GPS onboard at different altitudes. The results of this study show that PV module defects identification can be classified based on different flight conditions.