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1702116 Vol 3 · Issue 10 Download Paper

Fire Detection And Quenching System Using Image Processing

Thummapudi Sravani V S Mahima Chowdary Movva Reddyboina Priyanka Vemuri Sujani Tadi Shalini

Subject area: Science,Engineering and Technology  ·  Area of research: Electronics and Communication Engineering

Abstract

Fire detection is an important issue which is related to human life and social security. This is an image processing based fire detection and quenching system using Open CV. The other important components used in this project are Arduino, webcam, buzzer and pump. Arduino is used as controller to control relay, buzzer and LED. The pump is connected to the relay. The system is divided into two parts, namely Fire detection and Fire extinguisher. In the first part, the fire is detected using image processing. Open CV and python are used for fire detection. Cascade classifier is trained and used in the detection of fire. In the second part, camera preview will be shown, if fire is present, it gets detected and turns ON the pump and the buzzer starts the beep sound.

Keywords

Arduino, Cascade classifier, Fire detection, OpenCV, Python

References

[1] C Yu, X Zhang-“A real time video fire flame and smoke detection algorithm”

[2] www.electronicshub.org

[3] https://randomnerdtutorials.com/guide-for-relay- module-with-arduino

[4] High-rise building fire safety standards development research, Korea fire safety Association(2012)

[5] P.G Smith- Fire Detection and alarm systems, ieee.org volume 1977, issue 3

[6] Huide Liu; Lili Gao; Suwei Li; Tao Wu “About automatic fire alarm systems research”, The 2 nd IEEE International Conference on Information Management and Engineering (ICIME).

[7] MP Sivaram kumar; S Rajasekaran; “Detection and extinguishing forest fires using wireless sensor and actor networks”

How to cite this paper

Thummapudi Sravani, V S Mahima Chowdary Movva, Reddyboina Priyanka , Vemuri Sujani , Tadi Shalini "Fire Detection And Quenching System Using Image Processing" Iconic Research And Engineering Journals Volume 3 Issue 10 2020 Page 10-13
Thummapudi Sravani, V S Mahima Chowdary Movva, Reddyboina Priyanka , Vemuri Sujani , Tadi Shalini "Fire Detection And Quenching System Using Image Processing" Iconic Research And Engineering Journals, vol. 3, no. 10, Apr. 2020
Thummapudi Sravani, V S Mahima Chowdary Movva, Reddyboina Priyanka , Vemuri Sujani , Tadi Shalini (2020). Fire Detection And Quenching System Using Image Processing. Iconic Research And Engineering Journals, 3(10).
Thummapudi Sravani, V S Mahima Chowdary Movva, Reddyboina Priyanka , Vemuri Sujani , Tadi Shalini "Fire Detection And Quenching System Using Image Processing" Iconic Research And Engineering Journals, vol. 3, no. 10, Apr. 2020.
@article{1702116,
      author = {Thummapudi Sravani, V S Mahima Chowdary Movva, Reddyboina Priyanka , Vemuri Sujani , Tadi Shalini},
      title = {Fire Detection And Quenching System Using Image Processing},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {3},
      number = {10},
      pages = {10-13},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1702116.pdf},
      abstract = {Fire detection is an important issue which is related to human life and social security. This is an image processing based fire detection and quenching system using Open CV. The other important components used in this project are Arduino, webcam, buzzer and pump. Arduino is used as controller to control relay, buzzer and LED. The pump is connected to the relay. The system is divided into two parts, namely Fire detection and Fire extinguisher. In the first part, the fire is detected using image processing. Open CV and python are used for fire detection. Cascade classifier is trained and used in the detection of fire. In the second part, camera preview will be shown, if fire is present, it gets detected and turns ON the pump and the buzzer starts the beep sound.},
      keywords = {Arduino, Cascade classifier, Fire detection, OpenCV, Python},
      month = {April},
  }