Using Image Processing Techniques for Automated Detection and Annotation of Faulty Regions in Thermal Infrared Images of PV Modules

Muhammet Sait; Atilla Ergüzen

Title:
Using Image Processing Techniques for Automated Detection and Annotation of Faulty Regions in Thermal Infrared Images of PV Modules

Authors:
Atilla Ergüzen | Muhammet Sait

Cite This Article :

Atilla Ergüzen | Muhammet Sait "Using Image Processing Techniques for Automated Detection and Annotation of Faulty Regions in Thermal Infrared Images of PV Modules" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1, December 2019, pp.892-895, URL: https://www.ijtsrd.com/papers/ijtsrd29749.pdf

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Abstract :
With the increasingly growing number of solar energy sites, the need for better and faster fault detection techniques becomes more pressing. Using IR imaging is reliable and effective but scanning thousands or even hundreds of thousands of PV modules in mega sites quickly turns to be a time consuming and tedious task. To save on the spent effort and time digital image processing techniques can be introduced into the inspection process to help identify and annotate defects in the thermal footage of PV modules in an automated manner. The methodology used in the paper relies on analyzing the histogram to choose a suitable thresholding point that would help isolate the potential faulty areas in a grayscale IR image.

Keywords :
Image processing, photovoltaics, solar power, thermal imaging, fault detection

Publication Details:

Unique Identification Number : IJTSRD29749

Published In : Volume-4 | Issue-1, December 2019

Page Number(s) : 892-895

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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