Automatic Data Collection for Ariel Thermographic Inspections of Photovoltaic Modules

Abstract

Aerial thermographic inspections are a non-invasive method of detecting defective photovoltaic modules that can reduce the inspection time and cost. This paper proposes a hardware and a procedure for automatic data collection of ariel thermal imaging of photovoltaic modules. The procedure includes automatic flight and automatic data collection utilizing object detection and image processing techniques. This allows the inspection to be done often and the defect to be located. By detecting defective photovoltaic modules early and specifically, the owner can save money on replacement costs and loss of power output.