This paper is published in Volume-5, Issue-3, 2019
Area
Electronics and TelecommunicationEngineering
Author
Akash Vitthal Thorat, Suyog Shah, Pavan Rajesh Sharma, Baliram Baburao Suryawanshi
Org/Univ
Sinhgad Academy of Engineering, Pune, Maharashtra, India
Pub. Date
23 May, 2019
Paper ID
V5I3-1510
Publisher
Keywords
Matlab, Colour detection system, Edge detection, Fire detection

Citationsacebook

IEEE
Akash Vitthal Thorat, Suyog Shah, Pavan Rajesh Sharma, Baliram Baburao Suryawanshi. Smart fire detection system for building using image processing, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Akash Vitthal Thorat, Suyog Shah, Pavan Rajesh Sharma, Baliram Baburao Suryawanshi (2019). Smart fire detection system for building using image processing. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
Akash Vitthal Thorat, Suyog Shah, Pavan Rajesh Sharma, Baliram Baburao Suryawanshi. "Smart fire detection system for building using image processing." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

Fire detection is the main objective of this project besides surveillance. The aim of the project is too early detection of fire apart from preventive measures to reduce the losses due to fire. The project mainly is based on image processing and Controllers serial communication. In this project, at the user end, the fire images will be feeder in the form of video frames. These images will be further processed by using the software, MATLAB. The proposed system uses RGB and CMY color space. The advantage of using CMY color space is that it can separate the luminance from the chrominance more effectively than RGB color space. Along with this smoke, motion, area detection is also performed using its color characteristics. The proposed system consists of hardware such as Controller, Camera, LED, and Buzzer. There is a camera for surveillance. This camera will give a real-time video output to the user on the laptop or computer via a small GUI-graphic user interface which is to be built in MATLAB. Thus the fire will be detected using this model. In this project, we include some condition regarding fire i.e. small, medium, and high fire with or without the person. If the fire is without person then automatic message sends to fire brigades. And if the fire is med and high with human means any person surrounded by fire or trapped in a fire then automatically message send to fire brigades and Ambulance using Wi-Fi modules.