IMPLEMENTATION OF A VISITOR SATISFACTION LEVEL DETECTION SYSTEM AT A SHOWCASE USING VIDEO ANALYTICS TECHNOLOGY
This research aims to develop a visitor satisfaction detection system using emotion detection based on video analytics at showcases in public buildings as an alternative solution for collecting customer feedback during showcase events. The methodology used in this research is CRISP- DM, utilizi...
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Online Access: | https://digilib.itb.ac.id/gdl/view/85111 |
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id-itb.:851112024-08-19T14:51:39ZIMPLEMENTATION OF A VISITOR SATISFACTION LEVEL DETECTION SYSTEM AT A SHOWCASE USING VIDEO ANALYTICS TECHNOLOGY Adhika Wiwardhana, Made Indonesia Final Project emotion detection, video analytics, showcase, CRISP-DM, feedback INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/85111 This research aims to develop a visitor satisfaction detection system using emotion detection based on video analytics at showcases in public buildings as an alternative solution for collecting customer feedback during showcase events. The methodology used in this research is CRISP- DM, utilizing transfer learning with the Xception model, which will be trained using the FER- 2013 dataset. This research will focus on system requirements analysis, design, and implementation of an innovative solution. The expected outcome of this research is a system capable of detecting the emotions of showcase visitors. The testing process will compare the emotions detected by the system with the actual emotions of the visitors through manual observation. text |
institution |
Institut Teknologi Bandung |
building |
Institut Teknologi Bandung Library |
continent |
Asia |
country |
Indonesia Indonesia |
content_provider |
Institut Teknologi Bandung |
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Digital ITB |
language |
Indonesia |
description |
This research aims to develop a visitor satisfaction detection system using emotion detection
based on video analytics at showcases in public buildings as an alternative solution for collecting
customer feedback during showcase events. The methodology used in this research is CRISP-
DM, utilizing transfer learning with the Xception model, which will be trained using the FER-
2013 dataset. This research will focus on system requirements analysis, design, and
implementation of an innovative solution. The expected outcome of this research is a system
capable of detecting the emotions of showcase visitors. The testing process will compare the
emotions detected by the system with the actual emotions of the visitors through manual
observation. |
format |
Final Project |
author |
Adhika Wiwardhana, Made |
spellingShingle |
Adhika Wiwardhana, Made IMPLEMENTATION OF A VISITOR SATISFACTION LEVEL DETECTION SYSTEM AT A SHOWCASE USING VIDEO ANALYTICS TECHNOLOGY |
author_facet |
Adhika Wiwardhana, Made |
author_sort |
Adhika Wiwardhana, Made |
title |
IMPLEMENTATION OF A VISITOR SATISFACTION LEVEL DETECTION SYSTEM AT A SHOWCASE USING VIDEO ANALYTICS TECHNOLOGY |
title_short |
IMPLEMENTATION OF A VISITOR SATISFACTION LEVEL DETECTION SYSTEM AT A SHOWCASE USING VIDEO ANALYTICS TECHNOLOGY |
title_full |
IMPLEMENTATION OF A VISITOR SATISFACTION LEVEL DETECTION SYSTEM AT A SHOWCASE USING VIDEO ANALYTICS TECHNOLOGY |
title_fullStr |
IMPLEMENTATION OF A VISITOR SATISFACTION LEVEL DETECTION SYSTEM AT A SHOWCASE USING VIDEO ANALYTICS TECHNOLOGY |
title_full_unstemmed |
IMPLEMENTATION OF A VISITOR SATISFACTION LEVEL DETECTION SYSTEM AT A SHOWCASE USING VIDEO ANALYTICS TECHNOLOGY |
title_sort |
implementation of a visitor satisfaction level detection system at a showcase using video analytics technology |
url |
https://digilib.itb.ac.id/gdl/view/85111 |
_version_ |
1822283031317053440 |