International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 2 March-April 2024 Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

Video Based Fire and Smoke Detection Using Deep Learning

Author(s) Tapas Saini, Dr. Govardhan Rao, Mannem Sri Nishma
Country India
Abstract The objective of this work is to design models for computer vision-based fire and smoke detection. CCTV cameras are installed at major public locations, homes, and buildings in every city. These cameras are often used for surveillance purposes and used mostly for forensic purposes. As a side advantage, these cameras can also be used for detection of fire and smoke in the camera field of view. IoT based sensors are the traditional way of detecting fire and smoke. Additionally, video streams from the camera can also be processed to detect fire and smoke events. This will enable additional security in cases when IoT sensors fail to detect a real fire and smoke event. It is proposed to use the advancements of AI/ML for computer vision-based fire and smoke detection.
Keywords Computer Vision, Machine Learning, Deep Learning, Fire Detection, Smoke Detection
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 1, January-February 2024
Published On 2024-01-13
Cite This Video Based Fire and Smoke Detection Using Deep Learning - Tapas Saini, Dr. Govardhan Rao, Mannem Sri Nishma - IJFMR Volume 6, Issue 1, January-February 2024. DOI 10.36948/ijfmr.2024.v06i01.11886
DOI https://doi.org/10.36948/ijfmr.2024.v06i01.11886
Short DOI https://doi.org/gtdr43

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