Design and Analysis of Automated Fire Detection and Suppressing System Using CNN

Year : 2024 | Volume : 15 | Issue : 02 | Page : 8 20
    By

    Sumit Dhakad,

  • Mayank Gurjar,

  1. Research Scholar, Department of Mechanical Engineering, Indore Professional Studies Academy Institute of Engineering & Science, Indore, Madhya Pradesh, India
  2. Assistant Professor, Assistant Professor, Department of Mechanical Engineering, Indore Professional Studies Academy Institute of Engineering & Science, Indore, Madhya Pradesh, India

Abstract

Maintaining and keeping an eye on the safety of all kinds of locations and circumstances requires an alarm system that detects fire. Although the usability of many existing fire-alarm systems is widely recognized, manufacturing them may be costly. As an end result, it is miles out of reach for low-profits customers. The number one intention of this study is to create a low-fee fire control machine. The detection system, the monitoring system, and the equipment gadget are the three predominant structures within the undertaking. The detecting device doubles as a sort of smoke and fire monitor. This study describes the layout and implementation of a fireplace alarm gadget with the usage of the Arduino UNO as the device’s controller. These sensors are placed at multiple levels in parallel. A hearth alarm system is crucial for ensuring the protection of all varieties of environments and situations. The usability of many existing fireplace alarm structures is widely known; however, manufacturing may also be pricey.

Keywords: Fire detector, image processing, Arduino uno, fire alarm

[This article belongs to Journal of Experimental & Applied Mechanics ]

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How to cite this article:
Sumit Dhakad, Mayank Gurjar. Design and Analysis of Automated Fire Detection and Suppressing System Using CNN. Journal of Experimental & Applied Mechanics. 2024; 15(02):8-20.
How to cite this URL:
Sumit Dhakad, Mayank Gurjar. Design and Analysis of Automated Fire Detection and Suppressing System Using CNN. Journal of Experimental & Applied Mechanics. 2024; 15(02):8-20. Available from: https://journals.stmjournals.com/joeam/article=2024/view=183659


References

  1. Imteaj A, Rahman T, Hossain MK, Alam MS, Rahat SA. An IoT based fire alarming and authentication system for workhouse using Raspberry Pi 3. In 2017 IEEE International conference on electrical, computer and communication engineering (ECCE). 2017 Feb 16; 899–904.
  2. Krejcar O. Using of mobile device localization for several types of applications in intelligent crisis management. In 2009 5th IEEE GCC Conference & Exhibition. 2009 Mar 17; 1–5.
  3. Muheden K, Erdem E, Vançin S. Design and implementation of the mobile fire alarm system using wireless sensor networks. In 2016 IEEE 17th International Symposium on Computational Intelligence and Informatics (CINTI). 2016 Nov 17; 000243–000246.
  4. Nurrahman AI, Mutijarsa K. Intelligent home management system prototype design and development. In 2015 IEEE International Conference on Information Technology Systems and Innovation (ICITSI). 2015 Nov 16; 1–6.
  5. Jamadar R, Uike H, Kakade P, Pawar S. GSM Based Fire Alert System. International Journal for Research in Applied Science & Engineering Technology (IJRASET). 2023; 11(V): 4093–
  6. Okayama Y. Approach to detection of fires in their very early stage by odor sensors and neural net. Fire Safety Science. 1991; 3: 955–964.
  7. Milke JA, McAvoy TJ. Analysis of signature patterns for discriminating fire detection with multiple sensors. Fire Technol. 1995 May; 31: 120–36.
  8. Tubaishat M, Madria S. Sensor networks: an overview. IEEE Potentials. 2003 May 7; 22(2): 20–3.
  9. Osterlind F, Pramsten E, Roberthson D, Eriksson J, Finne N, Voigt T. Integrating building automation systems and wireless sensor networks. IEEE Conference on Emerging Technologies and Factory Automation (EFTA 2007). 2007 Sep 25; 1376–1379.
  1. Derbel F. Reliable wireless communication for fire detection systems in commercial and residential areas. IEEE Wireless Communications and Networking, 2003. WCNC 2003. New Orleans, LA, USA. 2003Mar 16; 1: 654–
  2. Sha K, Shi W, Watkins O. Using wireless sensor networks for fire rescue applications: Requirements and challenges. In 2006 IEEE International Conference on Electro/Information Technology. 2006 May 7; 239–244.
  3. Lim YS, Lim S, Choi J, Cho S, Kim CK, Hu YW, Zhang H, Hu H, Xu B, Li J, Ma A. A fire detection and rescue support framework with wireless sensor networks. In 2007 IEEE International Conference on Convergence Information Technology (ICCIT 2007). 2007 Nov 21; 135–138.
  4. Son B, Her YS, Kim J. A design and implementation of forest-fires surveillance system based on wireless sensor networks for South Korea mountains. International Journal of Computer Science and Network Security (IJCSNS). 2006 Sep; 6(9): 124–
  5. Leavline EJ, Singh DA, Abinaya B, Deepika H. LPG gas leakage detection and alert system. Int J Electron Eng Res. 2017; 9(7): 1095–
  6. Chraim F, Erol YB, Pister K. Wireless gas leak detection and localization. IEEE Trans Industr Inform. 2015 Feb 2; 12(2): 768–
  7. Fraiwan L, Lweesy K, Bani-Salma A, Mani N. A wireless home safety gas leakage detection system. In 2011 IEEE 1st Middle East Conference on Biomedical Engineering. 2011 Feb 21; 11–14.
  8. Ganesh D, Bala A. Improvement on gas leakage detection and location system based on wireless sensor network. Int J Eng Dev Res. 2015 Jul; 3(2): 407–
  9. Arpitha T, Kiran D, Gupta VS, Duraiswamy P. FPGA-GSM based gas leakage detection system. In 2016 IEEE annual India conference (INDICON). 2016 Dec 16; 1–4.
  10. Banik A, Aich B, Ghosh S. Microcontroller based low cost gas leakage detector with SMS alert. In: IEEE Emerging Trends in Electronic Devices and Computational Techniques (EDCT). 2018 Mar 8; 1–
  11. Jagatheesaperumal SK, Muhammad K, Saudagar AK, Rodrigues JJ. Automated fire extinguishing system using a deep learning based framework. Mathematics. 2023 Jan 26; 11(3): 608.
  12. Bu F, Gharajeh MS. Intelligent and vision-based fire detection systems: A survey. Image Vis Comput. 2019 Nov 1; 91:

Regular Issue Subscription Review Article
Volume 15
Issue 02
Received 30/05/2024
Accepted 02/07/2024
Published 16/11/2024


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