The drone is mounted with both RGB (Red, Green, Blue) and thermal cameras. The proposed system can automatically detect and estimate the exact location of faulty PV modules among hundreds or thousands of PV modules in the power station. In addition, we propose an automatic drone flight path planning algorithm which eliminates the requirement of manual drone control. The system also utilizes an image processing algorithm to process RGB and thermal images for fault detection. Experimental results demonstrate the effectiveness of our solution.
Features
Infra red camera enabled drones.
High technological solutions for solar system performance.
Useful where human access is difficult like elevated locations, rooftop, large area captive plants, shopping malls, etc.
Periodical maintenance of solar panels and its performance monitoring via remote access method.
Identifying hot spots in PV panels, dirt and black spots, heat and thermal affected areas, thunder and lightning affected spots, etc.
Color-based segmentation
Automatic Detection System of Deteriorated PV Modules Using Drone with Thermal Camera
