This project is about video processing methods and techniques to detect fire and smoke using surveillance cameras. An overview with practical and thorough details of the State of the art techniques and methods used in fire and smoke domain would be discussed. The improvement in the field of technology in term of computational power and imaging sensor has shifted this domain from traditional based approaches to video based fire and smoke detection for real time applications. The traditional based sensor detection techniques has lot of limitation in term of area, size, location,delay, environment i.e. (indoor / outdoor) and many more. These limitation has shifted focus from traditional based approaches towards visible range cameras, infrared based sensor cameras and time-of-flight cameras.
Smoke is a prelude to fire. Detection of smoke and fire using smoke sensor has some limitation i.e. heat of smoke detected by smoke sensor creates propagation delay i.e. the time required for the smoke to reach the sensor and secondly of smoke multidimensional propagation different number of sensors should be used to detect smoke in multiple directions. To overcome this vision based approach is used in which these limitations overcome and the second larger area could be cover using this approach. Fire and smoke location frameworks are a standout among the most essential parts in observation frameworks used to screen structures and condition as a component of an early cautioning instrument that reports ideally the begin of flame i.e. smoke or fire. Along these lines, as anyone might expect, the fire and smoke identification is from a few centuries the subject of research.
Detection of fire and smoke through video is the main area of research nowadays, with its importance to high intuitive, speed and its non jamming capability. This study suggests the fire and smoke detection methods based on video images in recent Video based fire and smoke detection technology is becoming the focal point of research with its advantages of high intuitive, speed and anti-jamming capability. This study suggests the fire and smoke detection methods based on video images in recent years. Through the review, it is clear to see that video based fire and smoke detection technology can be divided into two main areas: the characteristics detection of fire and smoke.
This research would contribute for the betterment of our society and environment. It can be implemented in different fields i.e. for the safety of industries, buildings, homes and for forest fire detection. Fire and smoke is essential and productive to mankind life, yet it likewise causes numerous ecological calamities, making prudent and natural harm, and in addition imperiling individuals' lives. In this way, fire and smoke location frameworks are a standout among the most imperative segments in reconnaissance frameworks used to screen structures and condition as a component of an early cautioning system that reports ideally the early nearness of flame.
This Research would give a usage and execution assessment of constant based indoor fire and smoke discovery without sensor by video preparing method. The objective of flame and smoke recognition framework is to distinguish smoke and fires before it moves toward becoming wild by giving prior notice through sending message to the competent authority.
This research suggests a better and robust technique for detection of smoke and fire. In this study different behavior of smoke and fire would be analyzed i.e. opaqueness, color, and diffusion. On the basis of different features of smoke and fire there classification would be performed.
DynTex Dynamic Texture http://dyntex.univ-lr.fr/database.html
Bilkent VisiFire Prof Dr. A. Enis. Bilkent Signal Processing Group. [Online]. http://signal.ee.bilkent.edu.tr/VisiFire/Demo/SampleClips.html
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All rights reserved (c) 2019 Rafaqat Alam Khan
Unpublished work (c) 2019 Rafaqat Alam Khan