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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Bibliographic Details
Main Author: Adhika Wiwardhana, Made
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/85111
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:85111
spelling 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
collection 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