Fire Detection System Implementation on Brainy Pi

Brainy pi is a full hardware and software solution. It will provide enterprise grade stability and support the software stack to keep it bug free, so people can easily build quality solutions on top of it .

In this project, we have implemented a fire detection system on Brainy Pi. Here, all the steps are given for implementing it on Brainy Pi.

For code of fire detection system, click here.

Supplies

• Brainy Pi

Step 1: Remote Connection to Brainy Pi

• Secure a remote connection to the brainy pi using this command,

ssh -X [e-mail] -p 65530

• After entering the given password, a remote connection is established on the terminal.

Step 2: Cloning the Git Repository

• The next step is to clone the git repo of the project for running the python script, the command for it is as follows,

git clone https://github.com/Niketan1604/Fire-Detection.git

Step 3: Run Model for Fire Detection

• First, we need to install tensorflow -

pip3 install tensorflow

• Execute the inference file -

python3 inference.py

• The fire is detected and highlighted using squares.