Sky scanning on rooftop via fish-eye camera
Daylight simulation has been a topic that’s been of interest so as to maximize the performance of daylighting in buildings and solar forecasting. However, most of the research is performed in seasonal and temperate climate but not much studies has been performed on tropical and equatorial climates l...
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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2016
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| Online Access: | http://hdl.handle.net/10356/67132 |
| Summary: | Daylight simulation has been a topic that’s been of interest so as to maximize the performance of daylighting in buildings and solar forecasting. However, most of the research is performed in seasonal and temperate climate but not much studies has been performed on tropical and equatorial climates like Singapore.
Generation of detailed sky luminance models that are suitable for use in Singapore requires long-term data collection of sky information of Singapore’s weather before analysis can be performed. In order to perform the required analysis, it is important to come up with ways to extract the luminance data from the sky images. As the number of sky images to be processed can go up to thousands of images, there is a need to think of ways to process the images by batches instead of individually.
The aim of this project is to come up with a program to process the images taken by the sky camera and extract the luminance data for analysis. |
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