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: | |
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| 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 |
| Summary: | 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. |
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