Projects per year
Abstract
With the significant growth in the number of photovoltaic (PV) installations and their size, regular PV system inspection has become a challenge. Aerial drone imaging, based on visual, thermographic, and more recently luminescence, can be viable solutions for PV inspection. However, to achieve effective detection and quantification of failure based on images acquired form Unmanned Aerial Vehicle, there is need for image quality enhancement and correction of distortions, inherent to the drone measurement process. In this work we propose methods to automatically correct the perspective distortion in electroluminescent (EL) images of PV panels. We identified two main cases of perspective distortion: when the imaging plane is parallel to the panel plane or not, and propose methods to correct both. For both cases, the proposed method yields good results, as assessed by visual evaluation.
Original language | English |
---|---|
Title of host publication | Proceedings of the 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC) |
Number of pages | 5 |
Publisher | IEEE Press |
Publication date | Jun 2018 |
Pages | 0433-0437 |
ISBN (Print) | 978-1-5386-8530-3 |
ISBN (Electronic) | 978-1-5386-8529-7 |
DOIs | |
Publication status | Published - Jun 2018 |
Event | 7th World Conference on Photovoltaic Energy Conversion - Hilton Waikoloa Village, Waikoloa, United States Duration: 10 Jun 2018 → 15 Jun 2018 http://www.wcpec7.org/WCPEC-7/ |
Conference
Conference | 7th World Conference on Photovoltaic Energy Conversion |
---|---|
Location | Hilton Waikoloa Village |
Country/Territory | United States |
City | Waikoloa |
Period | 10/06/2018 → 15/06/2018 |
Internet address |
Series | I E E E Photovoltaic Specialists Conference. Conference Record |
---|---|
ISSN | 0160-8371 |
Keywords
- Outdoor electroluminescence imaging
- PV inspection
- Perspective correction
Fingerprint
Dive into the research topics of 'Correcting for Perspective Distortion in Electroluminescence Images of Photovoltaic Panels'. Together they form a unique fingerprint.Projects
- 1 Finished
-
DronEL - Fast and accurate inspection of large photovoltaic plants using aerial drone imaging
Séra, D., Spataru, S. V. & Parikh, H. R.
01/01/2017 → 31/12/2019
Project: Research