Fire Image Detection and Video Capturing Using Machine Learning (CNN) Algorithm and IoT Concepts

Fire Image Detection and Video Capturing Using Machine Learning (CNN) Algorithm and IoT Concepts

Registration ID: IJNRD_203323

Published ID: IJNRD2308090

DOI: Click Here to Get

Subramanya R Karthik , Dr Leena Giri G , Dr Prabha R

Fire outbreak is one of the most frequent issues happening all over the world in the recent times. The destruction caused by these types of scenarios is generally very much tremendous towards Humans and Nature. In the recent days as observed from the local information received from the users of this system is found that the Live Fire Based Detection System have gained the reputation as compared to Conventional Sensor Based Fire Detection System. Significant experiments have been conducted on Live Fire Detection Algorithm using Convolution Neural Network to achieve High Efficiency Fire Image Detection which is approximately up to 84% in detecting the fire with trained dataset. Live Fire Based Detection System can be installed in the busy area like Commercial Mall, Residential Apartment, Multistoried complex/offices, National Highways and Busy Traffic Area.

Published Paper   E-Certificate

"Fire Image Detection and Video Capturing Using Machine Learning (CNN) Algorithm and IoT Concepts", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 8, page no.a773-a782, August-2023, Available :https://ijnrd.org/papers/IJNRD2308090.pdf

Volume 8 Issue 8, August-2023

Pages : a773-a782

Paper Reg. ID: IJNRD_203323

Published Paper Id: IJNRD2308090

Downloads: 000121153

Research Area: Computer Science & Technology 

Country: Bangalore, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2308090.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2308090

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

Call For Paper - Volume 10 | Issue 8 | August 2025

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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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