CNN based Automatic Detection of Defective Photovoltaic Modules using Aerial Imagery

Abstract

The efficiency of photovoltaic modules decreases over time, and this decrease can be accelerated by environmental factors such as high temperatures. It is important to detect defective photovoltaic modules as soon as possible to prevent further degradation and loss of power output. Aerial thermographic inspections are a non-invasive method of detecting defective photovoltaic modules. This method uses thermal imaging to detect differences in the temperature of photovoltaic modules. By detecting defective photovoltaic modules early, the owner can save money on replacement costs and loss of power output.