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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Main Author: Sim, Yu Ling Julia
Other Authors: Tseng King Jet
Format: Final Year Project
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/67132
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-671322023-07-07T15:58:28Z Sky scanning on rooftop via fish-eye camera Sim, Yu Ling Julia Tseng King Jet School of Electrical and Electronic Engineering Singapore–Berkeley Building Efficiency and Sustainability in the Tropics (SinBerBEST) Chien Szu-Cheng DRNTU::Engineering 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. Bachelor of Engineering 2016-05-12T03:32:37Z 2016-05-12T03:32:37Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/67132 en Nanyang Technological University 68 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Sim, Yu Ling Julia
Sky scanning on rooftop via fish-eye camera
description 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.
author2 Tseng King Jet
author_facet Tseng King Jet
Sim, Yu Ling Julia
format Final Year Project
author Sim, Yu Ling Julia
author_sort Sim, Yu Ling Julia
title Sky scanning on rooftop via fish-eye camera
title_short Sky scanning on rooftop via fish-eye camera
title_full Sky scanning on rooftop via fish-eye camera
title_fullStr Sky scanning on rooftop via fish-eye camera
title_full_unstemmed Sky scanning on rooftop via fish-eye camera
title_sort sky scanning on rooftop via fish-eye camera
publishDate 2016
url http://hdl.handle.net/10356/67132
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