DESIGN AND IMPLEMENTATION OF FIRE DETECTION SYSTEM BASED ON VIDEO ANALYTICS USING YOLO AND IMAGE PROCESSING WITH HSV COLOR SPACE ON TECHNOLOGY SHOWCASE CASE STUDY

This research aims to develop a fire detection system based on video analytics and image processing in a technology showcase case study environment in a public building in response to security threats at technology showcase events. Using the CRISP-DM methodology approach, this research focuses on...

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Main Author: Calvin
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/85134
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:85134
spelling id-itb.:851342024-08-19T15:16:14ZDESIGN AND IMPLEMENTATION OF FIRE DETECTION SYSTEM BASED ON VIDEO ANALYTICS USING YOLO AND IMAGE PROCESSING WITH HSV COLOR SPACE ON TECHNOLOGY SHOWCASE CASE STUDY Calvin Indonesia Final Project fire detection, video analytics, image processing, technology showcase, CRISP-DM. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/85134 This research aims to develop a fire detection system based on video analytics and image processing in a technology showcase case study environment in a public building in response to security threats at technology showcase events. Using the CRISP-DM methodology approach, this research focuses on analyzing system requirements, designing models, and implementing innovative solutions. The research limitations consist of the dataset used, the focus of system development and evaluation which is on system accuracy and performance. The expected results are in the form of system design and implementation of a fire detection system so that it can detect fire objects and can distinguish the authenticity of fire objects that indicate fire in a case study set in a technology showcase event. 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 fire detection system based on video analytics and image processing in a technology showcase case study environment in a public building in response to security threats at technology showcase events. Using the CRISP-DM methodology approach, this research focuses on analyzing system requirements, designing models, and implementing innovative solutions. The research limitations consist of the dataset used, the focus of system development and evaluation which is on system accuracy and performance. The expected results are in the form of system design and implementation of a fire detection system so that it can detect fire objects and can distinguish the authenticity of fire objects that indicate fire in a case study set in a technology showcase event.
format Final Project
author Calvin
spellingShingle Calvin
DESIGN AND IMPLEMENTATION OF FIRE DETECTION SYSTEM BASED ON VIDEO ANALYTICS USING YOLO AND IMAGE PROCESSING WITH HSV COLOR SPACE ON TECHNOLOGY SHOWCASE CASE STUDY
author_facet Calvin
author_sort Calvin
title DESIGN AND IMPLEMENTATION OF FIRE DETECTION SYSTEM BASED ON VIDEO ANALYTICS USING YOLO AND IMAGE PROCESSING WITH HSV COLOR SPACE ON TECHNOLOGY SHOWCASE CASE STUDY
title_short DESIGN AND IMPLEMENTATION OF FIRE DETECTION SYSTEM BASED ON VIDEO ANALYTICS USING YOLO AND IMAGE PROCESSING WITH HSV COLOR SPACE ON TECHNOLOGY SHOWCASE CASE STUDY
title_full DESIGN AND IMPLEMENTATION OF FIRE DETECTION SYSTEM BASED ON VIDEO ANALYTICS USING YOLO AND IMAGE PROCESSING WITH HSV COLOR SPACE ON TECHNOLOGY SHOWCASE CASE STUDY
title_fullStr DESIGN AND IMPLEMENTATION OF FIRE DETECTION SYSTEM BASED ON VIDEO ANALYTICS USING YOLO AND IMAGE PROCESSING WITH HSV COLOR SPACE ON TECHNOLOGY SHOWCASE CASE STUDY
title_full_unstemmed DESIGN AND IMPLEMENTATION OF FIRE DETECTION SYSTEM BASED ON VIDEO ANALYTICS USING YOLO AND IMAGE PROCESSING WITH HSV COLOR SPACE ON TECHNOLOGY SHOWCASE CASE STUDY
title_sort design and implementation of fire detection system based on video analytics using yolo and image processing with hsv color space on technology showcase case study
url https://digilib.itb.ac.id/gdl/view/85134
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