FOREST FIRE DETECTION USING CONVOLUTIONAL NEURAL NETWORK AND YOLO MODEL

Registration ID: IJNRD_206056

Published ID: IJNRD2310032

DOI: Click Here to Get

Pandi Deepa.P , Umadevi venkat

Image Captioning, Convolutional Neural Networks, LSTMs, Deep Learning, Computer Vision, Natural Language Processing, MSCOCO Dataset, Data Pre-processing, Model Architecture, Training, Evaluation Metrics, Encoder-Decoder, Cross-Entropy Loss, Metric-Based Evaluation, BLEU, METEOR, CIDEr, ROUGE, Multimodal AI, Visual Understanding, Image Description, Machine Learning, Deep Neural Networks

From sprawling urbans to dense jungles, fire accidents pose a major threat to the world. These could be prevented by deploying fire detection systems, but the prohibitive cost, false alarms, need for dedicated infrastructure, and the overall lack of robustness of the present hardware and software-based detection systems have served as roadblocks in this direction. In this work, we endeavor to make a stride towards detection of fire in videos using Deep learning. Deep learning is an emerging concept based on artificial neural networks and has achieved exceptional resultsin various fields including computer vision. We plan to overcome the shortcomings of the present systems and provide an accurate and precise system to detect fires as early as possible and capable of working in various environments thereby saving innumerable lives and resources. We proposed a fire detection algorithm using Convolutional Neural Networks using YOLO model to achieve high-accuracy fire image detection, which is compatible in detection of fire by training with datasets.

Published Paper   E-Certificate

Pandi Deepa.P & Umadevi venkat (October-2023). FOREST FIRE DETECTION USING CONVOLUTIONAL NEURAL NETWORK AND YOLO MODEL. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(10), a275-a280. https://ijnrd.org/papers/IJNRD2310032.pdf

Volume 8 Issue 10, October-2023

Pages : a275-a280

Paper Reg. ID: IJNRD_206056

Published Paper Id: IJNRD2310032

Downloads: 000121990

Research Area: Computer Science & Technology 

Country: Chengalpattu, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2310032.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2310032

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 | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

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

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details