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Video Processing based fire detection and extinguisher system with GSM interface

EasyChair Preprint no. 5481

5 pagesDate: May 8, 2021


Nowadays the cases of fire accidents are happening in commercial, industrial, house hold, small scale factories, cracker industries, warehouses and even forests. The cases of fire are more frequent nowadays. A fire outbreak is a major tragedy that must be avoided by every possible means due to the potential loss of lives and property, fire when not controlled can grow large and may require days to bring under control. To avoid such worse scenario this project can be applied to minimize or even eliminate this great hazard. Like floods and earthquakes, fire causes great loss to people’s lives and property. The effective way to reduce this disaster is to take active precautions against fire. However, if a fire takes place, it should be detected and extinguished as soon as possible. Today image/video processing is used in various techniques, the implementation of image processing operations on Raspberry Pi. We are trying to implement a prototype project which can not only detect fire but will also take some controlling actions like turning on the pumps for water supply. And any such case is directly notified to the user about fire using SMS notification. This is an image processing based fire detection and extinguisher system using Raspberry Pi. It is basically the system is divided into two parts: 1. Fire detection 2. Fire alert notification and extinguisher. Hence our project ‘Video processing based fire detection and extinguisher with GSM module is developed’.

Keyphrases: Accidents, detect, features, fire, Haar Cascade, hardware, Open CV, project, Raspberry Pi, video

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Sudeep Karukayil and Tejaswinee Mahajan and Akshay Telang and Meeta Bakuli},
  title = {Video Processing based fire detection and extinguisher system with GSM interface},
  howpublished = {EasyChair Preprint no. 5481},

  year = {EasyChair, 2021}}
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