Image resolution and defects detection in PV inspection by unmanned technologies

M. Aghaei, A. Dolara, S. Leva, F. Grimaccia

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

25 Citations (Scopus)

Abstract

In the last ten years solar energy has expanded its application range from power plants to many industrial applications. The main scope of this paper is to investigate the correlation between aerial image capture altitude and potential defect identification on PV modules. For this scope, unmanned technology was employed to fly over a test laboratory in order to capture images of the modules using sensor and GPS onboard at different altitudes. The results of this study show that PV module defects identification can be classified based on different flight conditions.

Original languageEnglish
Title of host publication2016 IEEE Power and Energy Society General Meeting, PESGM 2016
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)9781509041688
DOIs
Publication statusPublished - 10 Nov 2016
Externally publishedYes
Event2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States
Duration: 17 Jul 201621 Jul 2016

Publication series

NameIEEE Power and Energy Society General Meeting
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2016 IEEE Power and Energy Society General Meeting, PESGM 2016
CountryUnited States
CityBoston
Period17/07/1621/07/16

Keywords

  • Aerial image capture
  • Photovoltaics
  • PV module
  • Unmanned technologies
  • Visual inspection

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