FIRE ACCIDENT DETECTION USING PANOPTIC SEGMENTATION
Hanif Mohammed A
, Aswin C , Abinesh B S , Abdul Kalam Azad A , Dhanish Chander P
Fire detection, Fire accident detection, Panoptic Algorithm, CCTV Surveillance Camera.
In India, there are more than 27,000 fire-related fatalities and injury cases per year. In order for the fire engine to reach the incident spot as soon as possible, a person must inform the Fire Rescue Service Department and provide an accurate location. The fire engine will be late in arriving if the informant is uncertain of the precise location. The aim of this study is to use artificial intelligence to spot fires on CCTV cameras while concurrently using GPS to pinpoint the precise location and transferring that information to the Fire Service Department and Traffic police. We will be using a machine learning algorithm to detect fire and send the popup notification to the control center.
"FIRE ACCIDENT DETECTION USING PANOPTIC SEGMENTATION", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.644-650, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001102.pdf
Volume 11
Issue 2,
February-2024
Pages : 644-650
Paper Reg. ID: TIJER_151062
Published Paper Id: TIJERB001102
Downloads: 000289
Research Area: Science and Technology
Country: Thiruvallur,Chennai, Tamil Nadu, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
