Image Processing based fire detection

Published on 20 May 2022. Written by Naveen Lakkundi

The main advantage of Image Processing Based Fire Detection System is the early warning benefit. This system can be installed just about anywhere in a commercial building, malls and at many more public places for fire detection. This system uses the camera for detecting fires. So we do not need any other sensors to detect fire. The system processes the camera input and then processor processes it to detect fires.

The heat signatures and fire illumination patterns are detected in images to determine if it is a fire and take action accordingly. On detecting fire system goes into emergency mode and sounds an alarm.

Project Description:

Raspberry Pi 3 B: Raspberry Pi is a Microprocessor which has 40 pins with 27 GPIO pins, it has a 1 Giga Bytes of RAM and a SD card slot for the storage or the ROM,it can be used as a mini computer for low computing operations, it has a dual band LAN, faster Ethernet, Bluetooth, it also has USB and HDMI ports for connecting devices. This device can be used as a server which we are doing in this project.
Micro SD card: You will need a minimum of 8 gigabytes SD card for this project, this SD card is used as the ROM of the raspberry pi. Use 32 Gigabyte or 64 Gigabytes of
Display: You can use any kind of display for the project, like monitors, TV or any size display that fits your requirement to configure the Pi.
Power Supply: Raspberry Pi needs a power supply of 5V and 2A Micro USB type.
Mouse and keyboard: You will need this to control, monitor, and to configure the Pi.
Keypad Module: Keypad module is used to enter the security code to open the gate or the door, it is basically a number pad which takes the security code as the input.
Pi Camera: Use the Pi camera to capture still images, live streaming and for video recording.

Project Implementation:

Install the Raspbian OS into the SD card, and boot the Raspberry Pi.
Download and install the Putty software, this software helps us to access the camera remotely through SSH(Secure Shell Protocol).
Connect the Raspberry Pi to a Wi-Fi network and check for the IP address of the Pi.
Connect the Pi camera and enable the camera option in the settings.
Download the OpenCV software for the Pi camera and run it in the daemon mode.
Write a shell script to execute the commands in the terminal for surveillance, checking the live streaming and recording when there is fire.
The Raspberry Pi's network port has to be forward in order to view the live streaming from any other device which is not connected to the same Wi-Fi network.
Write a python program with which you can send an alert signal to the user and turn on the fire extinguishing water sprinklers.

Project Brief:The Raspberry Pi when configured and all the required software has been installed then the Pi is ready to be used for surveillance then write a shell script to execute all the terminal commands one by one in order to capture a still image, or for live streaming or for motion capture. After finishing all the configure steps the surveillance system is ready to be installed in your home, or office, or any place where you want to monitor.

Software requirements:

Raspbian OS(Debian Linux): Raspbian operating systems are based on Linux, Raspberry pi are also compatible with Windows and IOS but prefer any Linux based OS
Putty: Putty is free and open source terminal emulator, serial console and network file transfer application.
OpenCV OpenCV is a dependency software for face detection, or a circular object detection, and even the fire detection.
Python IDE 3: Python IDE 3 is compiler where you can write and compile python program.

Programing Language:

Kit required to develop Image Processing based fire detection:

Technologies you will learn by working on Image Processing based fire detection:

Image Processing based fire detection

Project Description:

Project Implementation:

Software requirements:

Programing Language:

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