With the development of drone applications, Remotely Piloted Aircraft (RPA) equipped with infrared camera equipment have become an effective mean of obtaining infrared images/videos of large-scale PV power plant photovoltaic mod-ules due to their ability to control shooting angles. With the development of drone applications, Remotely Piloted Aircraft (RPA) equipped with infrared camera equipment have become an effective mean of obtaining infrared images/videos of large-scale PV power plant photovoltaic mod-ules due to their ability to control shooting angles. The continuous increase in the number and scale of solar photovoltaic power plants requires the implementation of reliable diagnostic tools for fault detection. With the recent advances in low-weight, high-precision, and fast- response thermal cameras, along with professional aerial platforms. diagnosis method for photovoltaic modules based on infrared images and improved MobileNet-V3 is proposed. Firstly, the defect images of open-source photovoltaic modules and their existing problems are analysed; based on the existing problems, image enhance-ment and data enhancement are performed on. Scientists in Italy have investigated the performance of drones and a human-crewed airplanes for carrying out aerial infrared thermography inspections on PV power plants. According to their findings, airplanes may be more cost-effective. We combine and automate classic and preventive inspections of solar power plants with image-based methods like thermography, electroluminescence and UV-fluorescence measurements, and with IV-curve recording by day and night, isolation. Drones can precisely identify and locate defects in solar farms by utilizing high-definition visible light and thermal imaging.
