How to detect photovoltaic panels with thermal imagers

Can thermal imaging be used to identify a solar PV module?

One of the significant challenges is the fault identification of the solar PV module, since a vast power plant condition monitoring of individual panels is cumbersome. This paper attempts to identify the panel using a thermal imaging system and processes the thermal images using the image processing technique.

Can thermal images detect solar panel damage?

This study proposes a method for detecting and localizing solar panel damage using thermal images. The proposed method employs image processing techniques to detect and localize hotspots on the surface of a solar panel, which can indicate damage or defects.

Does a thermal image indicate a fault in a PV panel?

Considering that the change of the visual image does not necessarily mean the presence of a fault in a PV panel, the thermal image of the PV panel is more favoured in the practice of PV panel condition monitoring (Kandeal et al., 2021a).

How to identify a solar photovoltaic panel?

identify the panel using a thermal imaging system and processes the thermal images using the image processing technique. An spots. Similarly, the new and aged solar photovoltaic panels were compared in the image processing technique since any fault in the panel has been recorded as hot spots.

Can solar panels be identified in thermal images with complex backgrounds?

The identification of solar panels in thermal images with complex backgrounds has five challenges: Hot spots create an atypical distribution of data, which leads to a loss of image contrast. The edges suffer from distortion and diffusion. There are structures that have a panel-like geometry.

How to identify a panel based on a thermal image?

For the identification of the panels, information from the thermal image has been used, together with the RGB image or the 3D models . However, the developments are focused on the identification of the panels using only thermal video [26, 27] or thermal imaging . Panel detection focuses on identifying rectangular structures.