Image resolution and defects detection in PV inspection by unmanned technologies

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

doi:10.1109/PESGM.2016.7741605

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 proceeding › Conference contribution › Academic › peer-review

48 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 language	English
Title of host publication	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Publisher	IEEE Computer Society
Number of pages	5
ISBN (Electronic)	9781509041688
DOIs	https://doi.org/10.1109/PESGM.2016.7741605
Publication status	Published - 10 Nov 2016
Externally published	Yes
Event	2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Sheraton Boston Hotel, Boston, United States Duration: 17 Jul 2016 → 21 Jul 2016 http://www.pes-gm.org/2016

Conference

Conference	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Abbreviated title	PESGM 2016
Country/Territory	United States
City	Boston
Period	17/07/16 → 21/07/16
Internet address	http://www.pes-gm.org/2016

Keywords

Aerial image capture
Photovoltaics
PV module
Unmanned technologies
Visual inspection

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/PESGM.2016.7741605

Cite this

@inproceedings{c68b3eb7899b42c7b6393c06fe099475,

title = "Image resolution and defects detection in PV inspection by unmanned technologies",

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.",

keywords = "Aerial image capture, Photovoltaics, PV module, Unmanned technologies, Visual inspection",

author = "M. Aghaei and A. Dolara and S. Leva and F. Grimaccia",

year = "2016",

month = nov,

day = "10",

doi = "10.1109/PESGM.2016.7741605",

language = "English",

booktitle = "2016 IEEE Power and Energy Society General Meeting, PESGM 2016",

publisher = "IEEE Computer Society",

address = "United States",

note = "2016 IEEE Power and Energy Society General Meeting, PESGM 2016, PESGM 2016 ; Conference date: 17-07-2016 Through 21-07-2016",

url = "http://www.pes-gm.org/2016",

}

Aghaei, M, Dolara, A, Leva, S & Grimaccia, F 2016, Image resolution and defects detection in PV inspection by unmanned technologies. in 2016 IEEE Power and Energy Society General Meeting, PESGM 2016., 7741605, IEEE Computer Society, 2016 IEEE Power and Energy Society General Meeting, PESGM 2016, Boston, Massachusetts, United States, 17/07/16. https://doi.org/10.1109/PESGM.2016.7741605

TY - GEN

T1 - Image resolution and defects detection in PV inspection by unmanned technologies

AU - Aghaei, M.

AU - Dolara, A.

AU - Leva, S.

AU - Grimaccia, F.

PY - 2016/11/10

Y1 - 2016/11/10

N2 - 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.

AB - 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.

KW - Aerial image capture

KW - Photovoltaics

KW - PV module

KW - Unmanned technologies

KW - Visual inspection

UR - http://www.scopus.com/inward/record.url?scp=85002252595&partnerID=8YFLogxK

U2 - 10.1109/PESGM.2016.7741605

DO - 10.1109/PESGM.2016.7741605

M3 - Conference contribution

AN - SCOPUS:85002252595

BT - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016

PB - IEEE Computer Society

T2 - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016

Y2 - 17 July 2016 through 21 July 2016

ER -

Image resolution and defects detection in PV inspection by unmanned technologies

Abstract

Conference

Keywords

UN SDGs

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