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2nd review.pptx
1. Batch ID - FPIN7209
Internal
BANNARI AMMAN INSTITUTE OF TECHNOLOGY
FOREST FIRE DETECTION
Special lab
Name: Dr. SUNDARAMURTHY S
Designation: Faculty
Dept: IT
Name: SARAVANA D, VIJAYA PRATHAP P, VINOTH V
Reg. No: 191EE208 , 191EE247 , 191EE250
Dept: Electrical and Electronics Engineering
S7 Project work – Second review – 27/10/2022
S7 PROJECT WORK I - SECOND REVIEW
2. Problem Statement (ABSTRACT)
• Forest fire caused by heat generated in litter and other biomes in summer through
carelessness of people.
• The most popular methods for detecting smoke from fires are typically based on air,
temperature, and particle sampling transparency examination.
• There is no warning triggered unless the Particles enter the sensors and turn them on.
• The sensors get damaged when they place near the fire.SO we come up with the image
processing technique to detect the fire with help of color models.
S7 PROJECT WORK I - SECOND REVIEW
3. S7 PROJECT WORK I - SECOND REVIEW
Literature Survey
PAPER TITLE AUTHOR DESCRIPTION
A Literature Study on
Image Processing for
Forest Fire Detection
PRIYADARSHINI M
HANAMARADDI
M.Tech-Student
Computer Science and
Engineering,
R V College of Engineering,
Bangalore, Karnataka, India.
Forests can purify water, stabilize soil, cycle nutrients,
moderate climate, and store carbon.
They can create habitat for wildlife and nurture environments
rich in biological diversity. They can also
contribute billions of dollars to the country’s economic
wealth. However, hundreds of millions of hectares
of forests are unfortunately devastated by forest fire each
year. Forest fire has been constantly
threatening to ecological systems, infrastructure, and public
safety. In the image processing based forest
fire detection using YCbCr colour model, method adopts rule
based colour model due to its less
complexity and effectiveness. YCbCr colour space
effectively separates luminance from chrominance
compared to other colour spaces like RGB. The method not
only separates fire flame pixels but also
separates high temperature fire centre pixels by taking in to
account of statistical parameters of fire
image in YCbCr colour space like mean and standard
deviation. This paper presents a literature study on
Image processing for forest fire detection.
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1.
4. S7 PROJECT WORK I - SECOND REVIEW
PAPER TITLE AUTHOR DESCRIPTION
Image Processing
Based Forest Fire
Detection
Article in
INTERNATIONAL
JOURNAL OF
ADVANCED
RESEARCH IN
ENGINEERING &
TECHNOLOGY ·
February 2012
Vipin Venugopal
(National Institute of
Technology-Puducherry.)
A novel approach for forest fire detection using
image processing technique is proposed. A rule based
color model for fire pixel classification is used. The
proposed algorithm uses RGB and YCbCr color
space. The advantage of using YCbCr color space is
that it can separate the luminance from the
chrominance more effectively than RGB color space.
The performance of the proposed algorithm is tested
on two Sets of images, one of which contains fire;
the other contains fire-like regions. Standard methods
are used for calculating the performance of the
algorithm. The proposed method has both higher
detection rate and lower false alarm rate. Since,the
algorithm is cheap in computation it can be used for
real time forest fire detection.
S NO
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5. S7 PROJECT WORK I - SECOND REVIEW
Aim
To prevent forest from wild fire and save the Environment, For the growth of
nation and to save our resources from forest.
Scope
• To minimize Pollution.
• To Save Forest.
• To Prevent wild animals from extinction.
6. Proposed Work
• In the proposed method image captured by the digital camera as input, process the
image (RGB) color space convert into YCbCr color space and performs actions as
shown in below figure.
S7 PROJECT WORK I - SECOND REVIEW
