Implementing Forest Fire Detection With BrainyPi Using EdgeAI

In essence, Edge AI involves deploying artificial intelligence capabilities on devices at the network edge, such as smartphones, IoT devices, and gateways, instead of relying on cloud or data center resources. In this context, the Brainy Pi serves as the edge device.

Within this project, we've integrated Forest fire detection model onto the Brainy Pi.

Supplies

• BrainyPi
• UNIX OS Terminal

Step 1: Remote Connection to Brainy Pi

After authenticating the password and username connect the BrainyPi to the terminal.

Step 2: Cloning the Git Repository

The next step is to clone the GitLab repository of the project to run the script.

• Change working directory to the project's directory by using the cd command.

Step 3: Run Model File for Fire Detection

Run the Interfrence script Interfrence.py to run the model

Step 4: Output

This are outputs produced by the Model.

• The output are produced with the respective confidence scores.
• The produced results will be highlighted by the bounding boxes.