Visible light communication with smartphone (iPhone)

As of current, the latest Light Emitting Diode (LED) technology opens up a wide area for new applications, new technical possibilities at a reduced cost. Conventional lighting infrastructure such as the fluorescent light bulbs are being replaced by LED lights. However, unbeknownst to many, the LE...

全面介紹

Saved in:
書目詳細資料
主要作者: Tan, Cherry Wanyi
其他作者: Luo Jun
格式: Final Year Project
語言:English
出版: 2017
主題:
在線閱讀:http://hdl.handle.net/10356/72913
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
機構: Nanyang Technological University
語言: English
id sg-ntu-dr.10356-72913
record_format dspace
spelling sg-ntu-dr.10356-729132023-03-03T20:48:25Z Visible light communication with smartphone (iPhone) Tan, Cherry Wanyi Luo Jun School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering As of current, the latest Light Emitting Diode (LED) technology opens up a wide area for new applications, new technical possibilities at a reduced cost. Conventional lighting infrastructure such as the fluorescent light bulbs are being replaced by LED lights. However, unbeknownst to many, the LED technology is not simply just a light source provider, but it can also be used to communicate information. Unlike conventional lights, LED lights are digitalized which can be readily controllable. It can be used actively to send out information or passively sense the environment through ambient light variances. The purpose of this project is to digitalize the use of LED lights by developing an iPhone application to detect and read messages transmitted from the LED light source. The application is created on Xcode, in Swift language and uses Raptor Code algorithm to decode messages transmitted from the LED light source. While using the application, once the user points the iPhone towards the LED light source, the application will decode and display out the message. Bachelor of Engineering (Computer Science) 2017-12-12T07:51:29Z 2017-12-12T07:51:29Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/72913 en Nanyang Technological University 30 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::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Tan, Cherry Wanyi
Visible light communication with smartphone (iPhone)
description As of current, the latest Light Emitting Diode (LED) technology opens up a wide area for new applications, new technical possibilities at a reduced cost. Conventional lighting infrastructure such as the fluorescent light bulbs are being replaced by LED lights. However, unbeknownst to many, the LED technology is not simply just a light source provider, but it can also be used to communicate information. Unlike conventional lights, LED lights are digitalized which can be readily controllable. It can be used actively to send out information or passively sense the environment through ambient light variances. The purpose of this project is to digitalize the use of LED lights by developing an iPhone application to detect and read messages transmitted from the LED light source. The application is created on Xcode, in Swift language and uses Raptor Code algorithm to decode messages transmitted from the LED light source. While using the application, once the user points the iPhone towards the LED light source, the application will decode and display out the message.
author2 Luo Jun
author_facet Luo Jun
Tan, Cherry Wanyi
format Final Year Project
author Tan, Cherry Wanyi
author_sort Tan, Cherry Wanyi
title Visible light communication with smartphone (iPhone)
title_short Visible light communication with smartphone (iPhone)
title_full Visible light communication with smartphone (iPhone)
title_fullStr Visible light communication with smartphone (iPhone)
title_full_unstemmed Visible light communication with smartphone (iPhone)
title_sort visible light communication with smartphone (iphone)
publishDate 2017
url http://hdl.handle.net/10356/72913
_version_ 1759853764133519360