|
| | | | |
| | | |
| Stat |
Members: 3645
Articles: 2'501'711
Articles rated: 2609
20 April 2024 |
|
| | | | |
|
Article overview
| |
|
|
Fast and robust detection of solar modules in electroluminescence images | | Mathis Hoffmann
; Bernd Doll
; Florian Talkenberg
; Christoph J. Brabec
; Andreas K. Maier
; Vincent Christlein
; | | Date: |
19 Jul 2019 | | Abstract: | Fast, non-destructive and on-site quality control tools, mainly high
sensitive imaging techniques, are important to assess the reliability of
photovoltaic plants. To minimize the risk of further damages and electrical
yield losses, electroluminescence (EL) imaging is used to detect local defects
in an early stage, which might cause future electric losses. For an automated
defect recognition on EL measurements, a robust detection and rectification of
modules, as well as an optional segmentation into cells is required. This paper
introduces a method to detect solar modules and crossing points between solar
cells in EL images. We only require 1-D image statistics for the detection,
resulting in an approach that is computationally efficient. In addition, the
method is able to detect the modules under perspective distortion and in
scenarios, where multiple modules are visible in the image. We compare our
method to the state of the art and show that it is superior in presence of
perspective distortion while the performance on images, where the module is
roughly coplanar to the detector, is similar to the reference method. Finally,
we show that we greatly improve in terms of computational time in comparison to
the reference method. | | Source: | arXiv, 1907.8451 | | Services: | Forum | Review | PDF | Favorites | |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
|
| |
|
|
|
|
News, job offers and information for researchers and scientists:
| |
REGISTER