An IoT-Driven Approach to Transforming Fire Detection and Alarm Systems

Authors

  • Pankaj Kumar Gupta  Research Scholar, Department of Computer Science & I.T. Magadh University, Bodh-Gaya - 824234
  • Dr. Manish Kumar Singh   ssistant Professor, Department of Mathematics, Jagjiwan College, Gaya (Magadh University, Bodh Gaya)

Keywords:

Internet of Things (IoT), Fire Detection and Alarm Systems, Real-Time Monitoring, Machine Learning and Edge Computing, IoT-Powered Fire Safety Solutions

Abstract

The Internet of Things (IoT) has brought about significant advancements across various industries, including the field of safety and security. In fire detection and alarm systems, IoT technologies provide substantial improvements compared to conventional approaches by facilitating real-time monitoring, enabling data-driven decisions, and allowing for remote management. This paper delves into how IoT can transform fire safety systems, focusing on the integration of IoT devices, cloud-based platforms, machine learning, and edge computing to boost efficiency, reliability, and scalability. We explore the technical framework, the advantages, and the challenges associated with deploying these systems. Finally, the paper highlights how IoT-powered fire safety solutions have the potential to shorten response times, enhance situational awareness, and ultimately protect lives and property more effectively.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2024-10-20

Issue

Volume 10, Issue 7, May-June-2024

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Pankaj Kumar Gupta, Dr. Manish Kumar Singh , " An IoT-Driven Approach to Transforming Fire Detection and Alarm Systems" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 10, Issue 7, pp.269-273, May-June-2024.