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Development And Implementation Of Smart Econimic Fire Crisis Controller Using Raspberry Pi

Kanipar, Jenani (2019) Development And Implementation Of Smart Econimic Fire Crisis Controller Using Raspberry Pi. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

In the present year, technology is evolving to the extent that most is our daily task can be solved and completed using the advancement of this technology. They evolve trough research and timeline. There are many common product of technology that is out in the global market, one of the most used product in company or houses is the fire alarm system. The main purpose this product was created or designed is to alert surrounding people when fire incident happen. In addition to that statement, my aim to create fire crisis controller that will detect fire using the combination of flame sensor and image processing. This whole project was developed by using the waterfall methodology as this one of the famous method used to build project from scratch. This project was created with the combination of few main element such as the flame sensor, camera and buzzer which is controlled by the Raspberry PI. The detection is divided into 2 major part or identification segments. Firstly the flame sensor will detect the present of the fire or heat then will send signal to the raspberry pi to analyze the flame using the camera. This can be called as a two-step verification. This ideology is chosen and adapted to avoid false alarm and indirectly increase the quality of the proposed project. In addition, this project is also packed with smart alert and management system to notify and enable the emergency team to provide help correct and short. So using this proposed study we can minimize the impact and problem that may rise during a fire disaster.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Image processing, Optical pattern recognition
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Library > Final Year Project > FTKEE
Depositing User: Sabariah Ismail
Date Deposited: 09 Apr 2021 07:38
Last Modified: 09 Apr 2021 07:38
URI: http://digitalcollection.utem.edu.my/id/eprint/25175

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