Name
Abstract | ||
|---|---|---|
This paper proposes a solution based on computer vision to detect solar panels in images. It is based on the definition of a feature vector that characterizes portions of images that can be acquired with a standard camera and with no lighting restrictions. The proposal has been applied to a set of images taken in an operating photovoltaic plant and the results obtained demonstrate its validity and robustness. These results are meant to be used in later stages of a procedure for the optimization of energy efficiency. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/MED.2017.7984163 | 2017 25th Mediterranean Conference on Control and Automation (MED) |
Keywords | Field | DocType |
solar panel detection,image processing techniques,computer vision,feature vector,photovoltaic plant | Computer vision,Feature vector,Computer science,Efficient energy use,Image processing,Robustness (computer science),Image segmentation,Artificial intelligence,Photovoltaic system | Conference |
ISSN | ISBN | Citations |
2325-369X | 978-1-5090-4534-1 | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Santiago Salamanca | 1 | 63 | 11.24 |
| Pilar Merchán | 2 | 63 | 11.05 |
| Ivan Garcia | 3 | 0 | 0.34 |