FIRE DETECTION ALARM SYSTEM USING DEEP LEARNING

FIRE DETECTION ALARM SYSTEM USING DEEP LEARNING

Registration ID: IJNRD_224963

Published ID: IJNRD2407318

DOI: Click Here to Get

Bhavya Pullela , M.Pavani Devi

FIRE DETECTION ALARM SYSTEM, DEEP LEARNING.

The importance of early fire detection systems cannot be exaggerated as they have a crucial function in ensuring the safety of human lives and preserving property. Conventional fire detection systems, which mainly depend on sensors to identify smoke, heat, or gas releases, often encounter issues with excessive false alarms and delayed reaction times. These constraints may result in ineffective emergency interventions and heightened potential for danger. Deep learning technology integrated with fire detection systems provides a possible answer to these difficulties. The objective of this project is to create a fire detection alarm system that utilizes sophisticated deep learning algorithms to improve the precision, dependability, and efficiency of fire detection. Deep learning, a subfield of artificial intelligence, has shown exceptional achievements in many domains such as image identification, natural language processing, and autonomous driving. Convolutional Neural Networks (CNNs), a category of deep learning models, are highly suitable for tasks involving the analysis of images and videos. This makes them perfect for the real-time detection of fire and smoke in video feeds. This research utilizes Convolutional Neural Networks (CNNs) and other advanced machine learning methods to construct a resilient fire detection system that can accurately identify fire-related incidents with a high level of accuracy.

Published Paper   E-Certificate

"FIRE DETECTION ALARM SYSTEM USING DEEP LEARNING", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 7, page no.d363-d371, July-2024, Available :https://ijnrd.org/papers/IJNRD2407318.pdf

Volume 9 Issue 7, July-2024

Pages : d363-d371

Paper Reg. ID: IJNRD_224963

Published Paper Id: IJNRD2407318

Downloads: 000121242

Research Area: Computer Engineering 

Country: Rajamahendravaram, Andra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2407318.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2407318

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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