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

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9898-5948-55	editor@ijfmr.com

International Journal For Multidisciplinary Research