Open AccessFire and Human Detection using Image Processing and Deep Learning
Author(s) -
Prof. V. V. Mahale
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.39949
Subject(s) - alarm , computer science , lightning (connector) , computer security , accidental , artificial intelligence , power (physics) , engineering , physics , quantum mechanics , acoustics , aerospace engineering
Aim of this paper is to notify and protect people from accidents related to fire. Fire is very threatening that brings great loss of individuals and belongings. Yearly thousands of accidents related to fire happen all over the world due to power failure, accidental fire, natural lightning. So to control fire, different frameworks are created and being utilized. We propose device and initial execution of a fire & human detection system using image processing and Machine Learning. Fire telling Systems could improve security of association and social spots. The propose framework is to make a reliable, protected, and savvy framework to Cut down impediments and issues like mutilated cautions, which cause alarm among individuals and surprisingly the deficiency of cash with the utilization of new innovation. Also make the spots protected from the unstable fire. Keywords: Image Processing, Machine Learning, RGB, Real Time Video Streaming,DNN