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1. 839
Internal
BANNARI AMMAN INSTITUTE OF TECHNOLOGY
Forest Fire Detection For Sathyamangalam Reserve
Name:Dr.Sundara Murthy
Designation: PROFESSOR
Dept: Information Technology
Name: SARAVANA D, VIJAYA PRATHAP P, VINOTH V
Reg. No:191EE208,191EE247,191EE250
Dept: ELECTRICAL AND ELECTRONICS ENGINEERING
S7 Project work I – zeroth review – (22.09.2022)
S7 PROJECT WORK I - ZEROTH REVIEW

2. Problem Identification(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 - ZEROTH REVIEW

3. Methodology
S7 PROJECT WORK I - ZEROTH REVIEW
 We have Used YCbCr Model and RGB Colour Model.
 We use python language to write a code and feed in NODE MCU.

4. Block Diagram :
S7 PROJECT WORK I - ZEROTH REVIEW

5. Proposed Plan Up to
 Algorithm uses YCbCr and RGB color space.YCbCr colr space separate the luminance from chrominancemore effectively than RGB
color space.
 The algorithm consists of three main stages:
1.Fire pixel detection using color information
2.Detecting moving pixels
3.Analyzing dynamics of moving fire pixels in consecutive frames.
S7 PROJECT WORK I - ZEROTH REVIEW

6. Reference
[1]. Chi Yuan, Zhixiang and Youmin Zhang, “UAV-based forest fire
detection and tracking using image processing Techniques,” Proc. of
IEEE International in ImageProcessing, pp. 978-1-4799-6009- 5/15,
2015.
[2]. T. Chen, P. Wu and Y. Chiou, “An early fire detection method based
on image processing,” Proc. of IEEE International in ImageProcessing,
pp. 1707-1710, 2004.
[3]. B. U. Toreyin, Y. Dedeoglu and A. E. Cetin, “Flame detection in video
using hidden morkov models,” Proc. of IEEE internationalconference on
Image Processing, pp. 1230-1233, 2005
S7 PROJECT WORK I - ZEROTH REVIEW